SlideShare a Scribd company logo
AZYYATI BINTI ABDUL AZIZ
GSK1345
SUPERVISOR: ASSOC. PROF. DR. SUHAIMI BIN SURATMAN
CO-SUPERVISOR: PROF. DR. NORHAYATI BT MOHD TAHIR.
Nitrogen-based nutrient : Inorganic (NO3
-, NO2
-, NH4
+) & Organic (DON, PON)
INTRODUCTION
Why Nitrogen? As a limiting factor (if < supply, limit growth)
(Lasso & Ackerman, 2013)
Essential compound for growth & reproduction
aquatic plants & animals
Important indicator of water quality (Excess of
N can caused eutrophication)
Why Nitrogen? As a limiting factor (if < supply, limit growth)
(Lasso & Ackerman, 2013)
Essential compound for growth & reproduction
aquatic plants & animals
Important indicator of water quality (Excess of
N can caused eutrophication)
Why Nitrogen? As a limiting factor (if < supply, limit growth)
(Lasso & Ackerman, 2013)
Essential compound for growth & reproduction
aquatic plants & animals
Important indicator of water quality (Excess of
N can caused eutrophication)
Why Nitrogen? As a limiting factor (if < supply, limit growth)
(Lasso & Ackerman, 2013)
Essential compound for growth & reproduction
aquatic plants & animals
Important indicator of water quality (Excess of
N can caused eutrophication)
Freshwater end-member
Estuary
Coastal water
Nitrogen input
Atmospheric
deposition
Groundwater
Anthropogenic
activities
Internal
sources
Behaviour of nutrients
Conservative behaviour
• If the data fall on theoretical
dilution line, which joining the end
member of the mixing series.
• No removal or addition occurs
within the estuaries.
Conservative behaviour Non- Conservative behaviour
• If the data fall on theoretical
dilution line, which joining the end
member of the mixing series.
• No removal or addition occurs
within the estuaries.
• A bend above or below the theoretical dilution line
• Nutrient addition or removal occurs within the
estuaries.
• If nutrients are more concentrated in seawater than
river water and the slope will be positive (a).
• If nutrients are more concentrated in river water
than seawater and the slope will be negative (b).
The conservative index of mixing Liss (1976)
 Research on the distribution of nutrients and impact of
such human activities on water quality have been done
worldwide.
 However, the behaviour of nutrient is very limited and
distribution of nutrient during neap-spring tidal cycles
is still poorly known.
 Less study on monitoring the nutrients distribution in
Terengganu River estuary after construction of
breakwater.
 Thus, the data obtain may serve as a baseline study of
future investigations on the distribution and
behaviours of nutrients.
Significant of study
OBJECTIVES
To investigate the distributions and behaviour of
nitrogen-based nutrients in Terengganu river estuary.
To identify the effect of tidal changes (spring, neap)
on the parameter measured.
To characterize the dissolved organic nitrogen (DON)
according to their molecular weight or size
fractionation.
PHILIPPINES
METHODOLOGY: Sampling sites
METHODOLOGY
Field sampling
Samples collection
• 30 sampling stations (Longitudinal survey)
• 2 fixed sampling stations (Diurnal survey) –
Every 2 hours in 12 hours/ sampling
• Van Dorn sampler at about 0.5m depth
Stored
• High density polyethylene (HDPE) bottle and
placed in an ice chest containing ice
Samples collection
• 30 sampling stations (Longitudinal survey)
• 2 fixed sampling stations (Diurnal survey) –
Every 2 hours in 12 hours/ sampling
• Van Dorn sampler at about 0.5m depth
Transported to laboratory for further analysis.
Stored
• High density polyethylene (HDPE) bottle and
placed in an ice chest containing ice
Samples collection
• 30 sampling stations (Longitudinal survey)
• 2 fixed sampling stations (Diurnal survey) –
Every 2 hours in 12 hours/ sampling
• Van Dorn sampler at about 0.5m depth
Samples analysis
Water Samples
Filter with GF/F (0.7 µM )
Dissolved
Filtered water
Dissolved
Inorganic nitrogen
( NO3
-, NO2
-, NH4
+ )
Inorganic nitrogen
( NO3
-, NO2
-, NH4
+ )
~Calorimetric method.
~Skalar Autoanalyser
Organic nitrogen
(DON)
~Calorimetric method.
~Skalar Autoanalyser
Organic nitrogen
(DON)
~HTCO method.
~ TOC/N Analyzer
Particulate
Filtered paper
~HTCO method.
~ TOC/N Analyzer
Particulate
Particulate organic
nitrogen (PON)
~ HTO Method
~ CHNS-O Elemental
Analyser
Particulate organic
nitrogen (PON)
Filtered water samples (0.7 µM GF/ F)
Samples analysis cont.
Organic fractionation
Water samples were passed through the
10 kDa PES membrane by using vivaflow 200
Filtered water samples (0.7 µM GF/ F)
40 ml of samples were collected
Water samples were passed through the
10 kDa PES membrane by using vivaflow 200
Filtered water samples (0.7 µM GF/ F)
Analyse by using TOC/N analyser
40 ml of samples were collected
Water samples were passed through the
10 kDa PES membrane by using vivaflow 200
Filtered water samples (0.7 µM GF/ F)
RESULTS & DISCUSSION
Longitudinal profile
(Distribution)
Nitrite
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
TA
TB
TC
TD
TE
TF
TG
TH
TI
TJ
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
Nitrite(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 0.002-0.105 µM
S/F= 0.080-0.393 µM
N/E= 0.042-0.232 µM
N/F= 0.089-0.349 µM
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
TA
TB
TC
TD
TE
TF
TG
TH
TI
TJ
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
Nitrate(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
Nitrate
S/E= 0.3-4.1 µM
S/F= 1.2-4.7 µM
N/E= 0.6-3.3 µM
N/F= 0.5-4.0 µM
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
TA
TB
TC
TD
TE
TF
TG
TH
TI
TJ
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
Nitrite(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 0.002-0.105 µM
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
TA
TB
TC
TD
TE
TF
TG
TH
TI
TJ
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
Nitrite(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/F= 0.080-0.393 µM
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
TA
TB
TC
TD
TE
TF
TG
TH
TI
TJ
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
Nitrite(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 0.002-0.105 µM
S/F= 0.080-0.393 µM
N/E= 0.042-0.232 µM
N/F= 0.089-0.349 µM
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
TA
TB
TC
TD
TE
TF
TG
TH
TI
TJ
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
Nitrateconc.(µM)
Sampling stations
N/E= 0.6-3.3 µM
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
TA
TB
TC
TD
TE
TF
TG
TH
TI
TJ
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
Nitrateconc.(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/F= 1.2-4.7 µM
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
TA
TB
TC
TD
TE
TF
TG
TH
TI
TJ
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
Nitrate(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 0.3-4.1 µM
S/F= 1.2-4.7 µM
N/E= 0.6-3.3 µM
N/F= 0.5-4.0 µM
Ammonia
0
5
10
15
20
25
30
35
40
TA
TB
TC
TD
TE
TF
TG
TH
TI
TJ
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
Ammonium(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 5.4-35.4 µM
S/F= 4.5-23.6 µM
N/E= 2.0-27.4 µM
N/F= 1.0-19.3 µM
DON
0
5
10
15
20
25
30
35
40
45
TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24
DON(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 10.0-40.6 µM
S/F= 11.4-32.4 µM
N/E= 3.2-37.6 µM
N/F= 5.3-36.9 µM
0
5
10
15
20
25
30
35
40
TA
TB
TC
TD
TE
TF
TG
TH
TI
TJ
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
Ammonium(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
N/F= 1.0-19.3 µM
0
5
10
15
20
25
30
35
40
TA
TB
TC
TD
TE
TF
TG
TH
TI
TJ
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
Ammonium(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 5.4-35.4 µM
0
5
10
15
20
25
30
35
40
TA
TB
TC
TD
TE
TF
TG
TH
TI
TJ
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
Ammonium(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 5.4-35.4 µM
S/F= 4.5-23.6 µM
N/E= 2.0-27.4 µM
N/F= 1.0-19.3 µM
0
5
10
15
20
25
30
35
40
45
TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24
DON(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/F= 11.4-32.4 µM
0
5
10
15
20
25
30
35
40
45
TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24
DON(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 10.0-40.6 µM
0
5
10
15
20
25
30
35
40
45
TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24
DON(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 10.0-40.6 µM
S/F= 11.4-32.4 µM
N/E= 3.2-37.6 µM
N/F= 5.3-36.9 µM
PON
0
5
10
15
20
25
TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24
PON(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 5.8-16.0 µM
S/F= 6.0-18.3 µM
N/E= 1.5-23.6 µM
N/F= 3.0-18.8 µM
• Lower PON concentration was found during S/E survey (monsoon season)
• Higher PON concentration was recorded during N/E survey
• Low water turbulence during neap was not able to disperse the nutrient rich
contained in the surface water, which derived from land based.
• And slow water flow not able to flush PON out completely from the estuary to
coastal water.
0
5
10
15
20
25
TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24
PON(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 5.8-16.0 µM
0
5
10
15
20
25
TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24
PON(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
N/E= 1.5-23.6 µM
0
5
10
15
20
25
TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24
PON(µM)
Sampling stations
S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
S/E= 5.8-16.0 µM
S/F= 6.0-18.3 µM
N/E= 1.5-23.6 µM
N/F= 3.0-18.8 µM
Diurnal profile
Neap tide (Range: 0.09-0.40 µM) Spring tide (Range: 0.13-0.20 µM)
Nitrite
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
Nitrite(µM)
Times
T7
T24
0.05
0.07
0.09
0.11
0.13
0.15
0.17
0.19
0.21
Nitrite(µM)
Times
T7
T24
Neap tide (Range: 0.55-1.44 µM)
Nitrate
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
Nitrate(µM)
Times
T7
T24
Spring tide (Range: 1.93-2.92 µM)
1.0
1.5
2.0
2.5
3.0
3.5
Nitrate(µM)
Times
T7
T24
Flood tide Ebb tide
Flood tide Ebb tide Flood tide
High tide
Low tide
Neap tide (Range: 5.1-15.8 µM) Spring tide (Range: 10.6-16.3)
Ammonia
0
2
4
6
8
10
12
14
16
18
7.40am 9.40am 11.40am 1.40pm 3.40pm 5.40pm 7.40pm
Ammonia(µM)
Times
T7
T24
0
2
4
6
8
10
12
14
16
18
Ammonia(µM)
Times
T7
T24
DON
Spring tide (Range:24.6-89.06)Neap tide (Range: 33.4-88.6)
0
10
20
30
40
50
60
70
80
90
100
DON(µM)
Times
T7
T24
0
10
20
30
40
50
60
70
80
90
100
DON(µM)
Times
T7
T24
Flood tide Ebb tide
Flood tide Ebb tide Flood tide
Neap tide (Range: 25.2-33.3 µM) Spring tide (Range: 23.5-29.6 µM)
20
22
24
26
28
30
32
34
36
7.40am 9.40am 11.40am 1.40pm 3.40pm 5.40pm 7.40pm
PON(µM)
Times
T7
T24
PON
20
22
24
26
28
30
32
34
36
PON(µM)
Times
T7
T24
• PON did not follow the tidal condition.
• During neap: Peaked at 3.40 pm during ebb tide
-high anthropogenic input during that time.
• During spring: Peaked at 7.30 pm
Flood tideFlood tideFlood tide Ebb tide Ebb tide
Freshwater
end-member
Salinity = 0ppt
Coastal
water
up to 30 ppt
Behaviour
Nitrite
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0 5 10 15 20 25 30
Nitrite(µM)
Salinity (ppt)
22.2.2012 (Spring tide, Ebb water)
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0 5 10 15 20 25 30
Nitrite(µM)
Salinity (ppt)
10.6.2012 (Spring tide,Flood water
0.00
0.05
0.10
0.15
0.20
0.25
0 5 10 15 20 25 30
Nitrite(µM)
Salinity (ppt)
4.5.2012 (Neap tide, Ebb water)
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
0.18
0.20
0 5 10 15 20 25 30
Nirite(µM)
Salinity (ppt)
2.4.2012 (Neap tide, Flood water)
Non-conservative
(addition)
Non-conservative
(addition)
Non-conservative
(addition)
Non-conservative
(addition)
0.0
0.5
1.0
1.5
2.0
2.5
0 5 10 15 20 25 30
Nitrate(µM)
Salinity (ppt)
22.2.2012 (Spring tide,Ebb water)
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
0 5 10 15 20 25 30
Nitrate(µM)
Salinity (ppt)
10.6.2012 (Spring tide, Flood water)
0.0
0.5
1.0
1.5
2.0
2.5
3.0
0 5 10 15 20 25 30
Nitrate(µM)
Salinity (ppt)
4.5.2012 (Neap tide, Ebb water)
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
0 5 10 15 20 25 30
Nitrate(µM)
Salinity (ppt)
2.4.2012 (Neap tide, Flood water)
Nitrate
Non-conservative
(addition)
Non-conservative
(addition)
Non-conservative
(removal)
Non-conservative
(removal)
0
1
2
3
4
5
6
7
0 5 10 15 20 25 30
DO(mg/L)
Salinity (ppt)
22.2.2012 (Spring tide, Ebb water)
Non-conservative
(removal)
(Salum, 2015)
0
1
2
3
4
5
6
7
0 5 10 15 20 25 30
DO(mg/L)
Salinity (ppt)
2.4.2012 (Neap tide, Flood water)
Non-conservative
(removal)
(Salum, 2015)
Denitrification process
Removal of DO contents
0
5
10
15
20
25
30
0 5 10 15 20 25 30
Ammonia(µM)
Salinity (ppt)
22.2.2012 (Spring tide,Ebb water)
0
2
4
6
8
10
12
14
0 5 10 15 20 25 30
Ammonia(µM)
Salinity (ppt)
10.6.2012 (Spring tide, Flood water)
0
5
10
15
20
25
0 5 10 15 20 25 30
Ammonia(µM)
Salinity (ppt)
4.5.2012 (Neap tide, Ebb water)
0
2
4
6
8
10
12
14
0 5 10 15 20 25 30
Ammonia(µM)
Salinity (ppt)
2.4.2012 (Neap tide, Flood water)
Ammonia
Non-conservative
(addition)
Non-conservative
(addition)
Non-conservative
(addition)
Non-conservative
(addition)
0
5
10
15
20
25
30
35
0 5 10 15 20 25 30
DON(µM)
Salinity (ppt)
22.2.2012 (Spring tide,Ebb water)
0
5
10
15
20
25
30
0 5 10 15 20 25 30
DON(µM)
Salinity (ppt)
10.6.2012 (Spring tide, Flood water)
0
2
4
6
8
10
12
14
16
18
20
0 5 10 15 20 25 30
DON(µM)
Salinity (ppt)
4.5.2012 (Neap tide, Ebb water)
0
2
4
6
8
10
12
14
16
18
20
0 5 10 15 20 25 30
DON(µM)
Salinity (ppt)
2.4.2012 (Neap tide, Flood water)
Non-conservative
(addition)
Non-conservative
(addition)
Non-conservative
(addition)
Non-conservative
(addition)
DON
0
5
10
15
0 5 10 15 20 25 30
PON(µM)
Salinity (ppt)
22.2.2012 (Spring tide,Ebb water)
0
5
10
15
20
0 5 10 15 20 25 30
PON(µM)
Salinity (ppt)
10.6.2012 (Spring tide, Flood
water)
0
5
10
15
20
0 5 10 15 20 25 30
PON(µM)
Salinity (ppt)
4.5.2012 (Neap tide, Ebb water)
0
5
10
15
20
0 5 10 15 20 25 30
PON(µM)
Salinity (ppt)
2.4.2012 (Neap tide, Flood water)
PON
Non-conservative
(addition)
Non-conservative
(addition)
Non-conservative
(addition)
Non-conservative
(addition)
Parameter
(µ𝑴)
Previous study
(Jan, 2002)
Previous study
(Theivanan,
2009)
Present study
(2012)
Nitrite 0.003-0.25 0.05-0.138 0.002-0.393
Nitrate 1.9-7.0 0.12-103.9 0.3-4.7
Ammonia 0.02-0.09 0.015-0.037 1.0-35.4
DON 0.4-3.5 - 3.2-40.6
PON - - 1.5-23.6
Comparison
As captured on 20th July 2002 (Landsat)
Breakwater in Terengganu River estuary
As captured on 18th Sept. 2012 (Google Earth)NAHRIM, 2011NAHRIM, 2011
Relative Abundance (Longitudinal)
0
10
20
30
40
50
T1
T2
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
N(%)
Stations
22/2/2012 (Spring tide, ebb water)
0
10
20
30
40
50
60
T3
T4
T5
T6
T7
T8
T9
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21
T22
T23
T24
N(%)
Stations
10/6/2012 (Spring tide, flood water)
0
10
20
30
40
50
TA TC TE TG TI T1 T3 T5 T7 T9 T11 T13 T15 T17 T19 T21 T23
N(%)
Stations
4/5/2012 (Neap tide, ebb water)
0
10
20
30
40
50
60
TH TJ T2 T4 T6 T8 T10 T12 T14 T16 T18 T20 T22 T24
N(%)
Stations
2/4/2012 (Neap tide, flood water)
% DIN
% DON
% PON
DIN
39%
DON
43%
PON
18%
Spring tide, Ebb water
DIN
33%
DON
41%
PON
26%
Spring tide, Flood water
DIN
37%
DON
37%
PON
26%
Neap tide, Ebb water
DIN
29%
DON
43%
PON
28%
Neap tide, Flood water
100% of Total N
Relative Abundance (Diurnal)
0
10
20
30
40
50
60
70
80
7.40am 9.40am 11.40am 1.40pm 3.40pm 5.40pm 7.40pm
Nitrogen(%)
Times
Station 7 (Neap tide)
0
10
20
30
40
50
60
70
80
Nitrogen(%)
Times
Station 24 (Neap tide)
%DIN
%DON
%PON
0
10
20
30
40
50
60
70
80
7.30am 9.30am 11.30am 1.30pm 3.30pm 5.30pm 7.30pm
Nitrogen(%)
Times
Station 7 (Spring tide)
0
10
20
30
40
50
60
70
7.30am 9.30am 11.30am 1.30pm 3.30pm 5.30pm 7.30pm
Nitrogen(%)
Times
Station 24 (Spring tide)
0
10
20
30
40
50
60
70
80
7.40am 9.40am 11.40am 1.40pm 3.40pm 5.40pm 7.40pm
Nitrogen(%)
Times
Station 7 (Neap tide)
0
10
20
30
40
50
60
70
80
Nitrogen(%)
Times
Station 24 (Neap tide)
%DIN
%DON
%PON
0
10
20
30
40
50
60
70
80
7.30am 9.30am 11.30am 1.30pm 3.30pm 5.30pm 7.30pm
Nitrogen(%)
Times
Station 7 (Spring tide)
0
10
20
30
40
50
60
70
7.30am 9.30am 11.30am 1.30pm 3.30pm 5.30pm 7.30pm
Nitrogen(%)
Times
Station 24 (Spring tide)
0
10
20
30
40
50
60
70
80
7.40am 9.40am 11.40am 1.40pm 3.40pm 5.40pm 7.40pm
Nitrogen(%)
Times
Station 7 (Neap tide)
0
10
20
30
40
50
60
70
80
Nitrogen(%)
Times
Station 24 (Neap tide)
%DIN
%DON
%PON
0
10
20
30
40
50
60
70
80
7.30am 9.30am 11.30am 1.30pm 3.30pm 5.30pm 7.30pm
Nitrogen(%)
Times
Station 7 (Spring tide)
0
10
20
30
40
50
60
70
7.30am 9.30am 11.30am 1.30pm 3.30pm 5.30pm 7.30pm
Nitrogen(%)
Times
Station 24 (Spring tide)
DIN
16%
DON
56%
PON
28%
Station 7 (Spring tide)
DIN
9%
DON
63%
PON
28%
Station 7 (Neap tide)
DIN
17%
DON
57%
PON
26%
Station 24 (Spring tide)
DIN
13%
DON
61%
PON
26%
Station 24 (Neap tide)
Fractionation study of DON
8 fixed stations
% LMW DON (mean LMW DON-mean chl-a)
0
10
20
30
40
50
60
70
80
90
100
T1 T9 T11 T15 T18 T19 T20 T24
LMWDON(%)
Stations
S/E (22.2.012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)
 No significance different (p>0.05) between sampling survey and station.
 LMW DON during neap tide (57-95%) and spring tide (35-71%)
Higher N/E = 57-95% Lower S/E = 35-70%
N/F = 58-91% S/F = 45-71%
65
69
63
74
81
59
69
54
1.79
2.23
1.03
4.83
9.75
2.45
10.76
2.84
0
2
4
6
8
10
12
0
10
20
30
40
50
60
70
80
90
100
T1 T9 T11 T15 T18 T19 T20 T24
MeanChl-a(mg/L)
MeanLMWDON(%)
Sampling stations
LMW DON Chl-a
Ave: 81%
Chl-a: 9.75 mg/L
y = 4.3325x + 42.272
R² = 0.6985
0
20
40
60
80
100
0 2 4 6 8
LMWDON(%)
Chl-a (mg/L)
Spring tide Ebb water
y = 2.5316x + 67.395
R² = 0.4325
0
20
40
60
80
100
0 2 4 6 8 10LMWDON(%)
Chl-a (mg/L)
Neap tide Flood water
y = 0.9937x + 73.217
R² = 0.5185
0
20
40
60
80
100
0 2 4 6 8 10 12 14 16 18 20 22 24
LMWDON(%)
Chl-a (mg/L)
Neap tide Ebb water
y = 2.0686x + 48.784
R² = 0.1977
0
20
40
60
80
100
0 2 4 6 8
LMWDON(%)
Chl-a (mg/L)
Spring tide Flood water
% LMW DON in each surveys
• This relationship were used in order to investigate the potential source of LMW
DON.
• Interaction LMW DON vs Chl-a  S/E & N/E = dominated with LMW DON
 S/F & N/F = dominated with HMW DON
CONCLUSION
 The longitudinal profile showed that higher concentrations of N-based
nutrients were recorded at freshwater end-member and urban area of
Kuala Terengganu town. DIN and DON showed higher concentration
during the spring tide compared to neap tide.
 The diurnal profile showed the distribution of DIN and DON were
influenced by tidal conditions (exception of PON). Diurnal profile support
the longitudinal distribution, where spring tide exhibited high nutrients
concentration in TRE.
 Generally, N-based nutrients demonstrated a non-conservatively
behaviour with an addition tendency was observed in all four surveys,
except for nitrate (removal) during S/E and N/F surveys.
 The LMW DON during S/E and N/E surveys were correlated with chl-a.
Higher percentage of LMW DON were found during neap tide and HMW
DON dominated during spring tide.
THANK YOU
NAHRIM, 2011

More Related Content

What's hot

Project presentation Hons
Project presentation HonsProject presentation Hons
Project presentation HonsManoka Marageni
 
Monitored Natural Attenuation Of Groundwater Nitrate
Monitored Natural Attenuation Of Groundwater NitrateMonitored Natural Attenuation Of Groundwater Nitrate
Monitored Natural Attenuation Of Groundwater Nitrate
VicMadrid
 
Aplikasi teknik Nuklir bidang kimia
Aplikasi teknik Nuklir bidang kimiaAplikasi teknik Nuklir bidang kimia
Aplikasi teknik Nuklir bidang kimia
Man Xp
 
ROLE OF LAKE SEDIMENTS IN GROUND WATER QUALITY (18.06.2013) (Final)
ROLE OF LAKE SEDIMENTS IN GROUND WATER QUALITY (18.06.2013) (Final)ROLE OF LAKE SEDIMENTS IN GROUND WATER QUALITY (18.06.2013) (Final)
ROLE OF LAKE SEDIMENTS IN GROUND WATER QUALITY (18.06.2013) (Final)Dr. U M Reddy Singareddy
 
Water Analysis Methods
Water Analysis MethodsWater Analysis Methods
Water Analysis Methods
Parag Patil
 
Water quality laboratories and different water quality testing
Water quality laboratories and different water quality testing Water quality laboratories and different water quality testing
Water quality laboratories and different water quality testing
فہیمہ کاسی
 
Water quality monitoring
Water quality monitoringWater quality monitoring
Water quality monitoring
Arvind Kumar
 
Leachability of Elements From Hydraulic Fracturing Residuals by Dr. Gregory B...
Leachability of Elements From Hydraulic Fracturing Residuals by Dr. Gregory B...Leachability of Elements From Hydraulic Fracturing Residuals by Dr. Gregory B...
Leachability of Elements From Hydraulic Fracturing Residuals by Dr. Gregory B...
Appalachian Research Initiative for Environmental Science
 
Chromatography: Anions and Metals Analysis for Waters Impacted by Hydraulic F...
Chromatography: Anions and Metals Analysis for Waters Impacted by Hydraulic F...Chromatography: Anions and Metals Analysis for Waters Impacted by Hydraulic F...
Chromatography: Anions and Metals Analysis for Waters Impacted by Hydraulic F...
Chromatography & Mass Spectrometry Solutions
 
Estimation of Chlorine in Water Samples-ELECTROANALYSIS
Estimation of Chlorine in Water Samples-ELECTROANALYSISEstimation of Chlorine in Water Samples-ELECTROANALYSIS
Estimation of Chlorine in Water Samples-ELECTROANALYSIS
IRJET Journal
 
2015 03-25 Rideal Berlin Philip R Davies
2015 03-25 Rideal Berlin Philip R Davies2015 03-25 Rideal Berlin Philip R Davies
2015 03-25 Rideal Berlin Philip R Davies
Philip R. Davies
 
207960699 ee-lab-manual
207960699 ee-lab-manual207960699 ee-lab-manual
207960699 ee-lab-manual
homeworkping8
 
Ipsw presentation mestech
Ipsw presentation   mestechIpsw presentation   mestech
Ipsw presentation mestech
reganf
 
Chemical and microbial treatment of toxic wastes from Fertilizers industry
Chemical and microbial treatment of toxic wastes from Fertilizers industryChemical and microbial treatment of toxic wastes from Fertilizers industry
Chemical and microbial treatment of toxic wastes from Fertilizers industry
Omar Ali
 
Item 20 ec
Item 20  ecItem 20  ec
Item 20 ec
Soils FAO-GSP
 
SEDIMENT QUALITY ASSESSMENT OF AVARAGERE LAKE, DAVANAGERE CITY - A CASE STUDY
SEDIMENT QUALITY ASSESSMENT OF AVARAGERE LAKE, DAVANAGERE CITY - A CASE STUDYSEDIMENT QUALITY ASSESSMENT OF AVARAGERE LAKE, DAVANAGERE CITY - A CASE STUDY
SEDIMENT QUALITY ASSESSMENT OF AVARAGERE LAKE, DAVANAGERE CITY - A CASE STUDY
AM Publications
 
evalution of drinking water ofcity mehrabpur and its surronding physical and ...
evalution of drinking water ofcity mehrabpur and its surronding physical and ...evalution of drinking water ofcity mehrabpur and its surronding physical and ...
evalution of drinking water ofcity mehrabpur and its surronding physical and ...
m waseem noonari
 

What's hot (20)

Project presentation Hons
Project presentation HonsProject presentation Hons
Project presentation Hons
 
Monitored Natural Attenuation Of Groundwater Nitrate
Monitored Natural Attenuation Of Groundwater NitrateMonitored Natural Attenuation Of Groundwater Nitrate
Monitored Natural Attenuation Of Groundwater Nitrate
 
Aplikasi teknik Nuklir bidang kimia
Aplikasi teknik Nuklir bidang kimiaAplikasi teknik Nuklir bidang kimia
Aplikasi teknik Nuklir bidang kimia
 
ROLE OF LAKE SEDIMENTS IN GROUND WATER QUALITY (18.06.2013) (Final)
ROLE OF LAKE SEDIMENTS IN GROUND WATER QUALITY (18.06.2013) (Final)ROLE OF LAKE SEDIMENTS IN GROUND WATER QUALITY (18.06.2013) (Final)
ROLE OF LAKE SEDIMENTS IN GROUND WATER QUALITY (18.06.2013) (Final)
 
Water Analysis Methods
Water Analysis MethodsWater Analysis Methods
Water Analysis Methods
 
Water quality laboratories and different water quality testing
Water quality laboratories and different water quality testing Water quality laboratories and different water quality testing
Water quality laboratories and different water quality testing
 
Water quality monitoring
Water quality monitoringWater quality monitoring
Water quality monitoring
 
Water quality
Water qualityWater quality
Water quality
 
Leachability of Elements From Hydraulic Fracturing Residuals by Dr. Gregory B...
Leachability of Elements From Hydraulic Fracturing Residuals by Dr. Gregory B...Leachability of Elements From Hydraulic Fracturing Residuals by Dr. Gregory B...
Leachability of Elements From Hydraulic Fracturing Residuals by Dr. Gregory B...
 
Chromatography: Anions and Metals Analysis for Waters Impacted by Hydraulic F...
Chromatography: Anions and Metals Analysis for Waters Impacted by Hydraulic F...Chromatography: Anions and Metals Analysis for Waters Impacted by Hydraulic F...
Chromatography: Anions and Metals Analysis for Waters Impacted by Hydraulic F...
 
Estimation of Chlorine in Water Samples-ELECTROANALYSIS
Estimation of Chlorine in Water Samples-ELECTROANALYSISEstimation of Chlorine in Water Samples-ELECTROANALYSIS
Estimation of Chlorine in Water Samples-ELECTROANALYSIS
 
2015 03-25 Rideal Berlin Philip R Davies
2015 03-25 Rideal Berlin Philip R Davies2015 03-25 Rideal Berlin Philip R Davies
2015 03-25 Rideal Berlin Philip R Davies
 
207960699 ee-lab-manual
207960699 ee-lab-manual207960699 ee-lab-manual
207960699 ee-lab-manual
 
Ipsw presentation mestech
Ipsw presentation   mestechIpsw presentation   mestech
Ipsw presentation mestech
 
Chemical and microbial treatment of toxic wastes from Fertilizers industry
Chemical and microbial treatment of toxic wastes from Fertilizers industryChemical and microbial treatment of toxic wastes from Fertilizers industry
Chemical and microbial treatment of toxic wastes from Fertilizers industry
 
Item 20 ec
Item 20  ecItem 20  ec
Item 20 ec
 
Presentation
PresentationPresentation
Presentation
 
Ad044203208
Ad044203208Ad044203208
Ad044203208
 
SEDIMENT QUALITY ASSESSMENT OF AVARAGERE LAKE, DAVANAGERE CITY - A CASE STUDY
SEDIMENT QUALITY ASSESSMENT OF AVARAGERE LAKE, DAVANAGERE CITY - A CASE STUDYSEDIMENT QUALITY ASSESSMENT OF AVARAGERE LAKE, DAVANAGERE CITY - A CASE STUDY
SEDIMENT QUALITY ASSESSMENT OF AVARAGERE LAKE, DAVANAGERE CITY - A CASE STUDY
 
evalution of drinking water ofcity mehrabpur and its surronding physical and ...
evalution of drinking water ofcity mehrabpur and its surronding physical and ...evalution of drinking water ofcity mehrabpur and its surronding physical and ...
evalution of drinking water ofcity mehrabpur and its surronding physical and ...
 

Similar to The Distribution and behaviour of Nitrogen-based nutrients in Terengganu River estuary, Malaysia

Taw River Improvement Project - Science Day
Taw River Improvement Project - Science DayTaw River Improvement Project - Science Day
Taw River Improvement Project - Science Day
Westcountry Rivers Trust
 
ESTIMATION OF SODIUM IN TAP WATER SAMPLE BY FLAME EMISSION SPECTROPHOTOMETER ...
ESTIMATION OF SODIUM IN TAP WATER SAMPLE BY FLAME EMISSION SPECTROPHOTOMETER ...ESTIMATION OF SODIUM IN TAP WATER SAMPLE BY FLAME EMISSION SPECTROPHOTOMETER ...
ESTIMATION OF SODIUM IN TAP WATER SAMPLE BY FLAME EMISSION SPECTROPHOTOMETER ...
Sadia Rahat
 
Thesis_11 11 2016
Thesis_11 11 2016Thesis_11 11 2016
Thesis_11 11 2016panukikale
 
Project Presentation
Project PresentationProject Presentation
Project PresentationZI YE
 
Isotopic signatures in the tissues of Mytilus galloprovincialis and Ulva latu...
Isotopic signatures in the tissues of Mytilus galloprovincialis and Ulva latu...Isotopic signatures in the tissues of Mytilus galloprovincialis and Ulva latu...
Isotopic signatures in the tissues of Mytilus galloprovincialis and Ulva latu...
Otago Energy Research Centre (OERC)
 
Tyler Johnston Thesis Defence
Tyler Johnston Thesis DefenceTyler Johnston Thesis Defence
Tyler Johnston Thesis DefenceTyler Johnston
 
0.0 EXPERIMENT ON DETERMINATION OF DISSOLVED OXYGEN
0.0 EXPERIMENT ON DETERMINATION OF DISSOLVED OXYGEN0.0 EXPERIMENT ON DETERMINATION OF DISSOLVED OXYGEN
0.0 EXPERIMENT ON DETERMINATION OF DISSOLVED OXYGEN
Tye Rausch
 
Wastewater.pptx
Wastewater.pptxWastewater.pptx
Wastewater.pptx
Jay Parmar
 
Bio componets proposalc14123361t
Bio componets proposalc14123361tBio componets proposalc14123361t
Bio componets proposalc14123361t
MGH/Harvard Medical School
 
2012 Norris and Titshall WaterSA
2012 Norris and Titshall WaterSA2012 Norris and Titshall WaterSA
2012 Norris and Titshall WaterSAMatthew Norris
 
1-s2.0-S0011916415003719-SJ
1-s2.0-S0011916415003719-SJ1-s2.0-S0011916415003719-SJ
1-s2.0-S0011916415003719-SJShahzad Jamil
 
Zander 2005 - Solid phase microextraction method to fingerprint DOC
Zander 2005 - Solid phase microextraction method to fingerprint DOCZander 2005 - Solid phase microextraction method to fingerprint DOC
Zander 2005 - Solid phase microextraction method to fingerprint DOCAlek Zander
 
Performance of combination of pre ozonation and membrane biological reactor o...
Performance of combination of pre ozonation and membrane biological reactor o...Performance of combination of pre ozonation and membrane biological reactor o...
Performance of combination of pre ozonation and membrane biological reactor o...
Alexander Decker
 
UCSC Master's Presentation by Wilson Sauthoff
UCSC Master's Presentation by Wilson SauthoffUCSC Master's Presentation by Wilson Sauthoff
UCSC Master's Presentation by Wilson Sauthoff
Wilson Sauthoff
 
Determination-Of-Sources-Of-Water-Pollution
Determination-Of-Sources-Of-Water-PollutionDetermination-Of-Sources-Of-Water-Pollution
Determination-Of-Sources-Of-Water-PollutionCOLLINS KUFFOUR
 
The chemical investigation on water pollution of kurnool district by water qu...
The chemical investigation on water pollution of kurnool district by water qu...The chemical investigation on water pollution of kurnool district by water qu...
The chemical investigation on water pollution of kurnool district by water qu...
Avishkaarsgrowup
 
Using advanced analytical chemistry and hydrogeological modeling to identify ...
Using advanced analytical chemistry and hydrogeological modeling to identify ...Using advanced analytical chemistry and hydrogeological modeling to identify ...
Using advanced analytical chemistry and hydrogeological modeling to identify ...Texas Alliance of Groundwater Districts
 
Ijciet 06 09_002
Ijciet 06 09_002Ijciet 06 09_002
Ijciet 06 09_002
IAEME Publication
 

Similar to The Distribution and behaviour of Nitrogen-based nutrients in Terengganu River estuary, Malaysia (20)

Taw River Improvement Project - Science Day
Taw River Improvement Project - Science DayTaw River Improvement Project - Science Day
Taw River Improvement Project - Science Day
 
ESTIMATION OF SODIUM IN TAP WATER SAMPLE BY FLAME EMISSION SPECTROPHOTOMETER ...
ESTIMATION OF SODIUM IN TAP WATER SAMPLE BY FLAME EMISSION SPECTROPHOTOMETER ...ESTIMATION OF SODIUM IN TAP WATER SAMPLE BY FLAME EMISSION SPECTROPHOTOMETER ...
ESTIMATION OF SODIUM IN TAP WATER SAMPLE BY FLAME EMISSION SPECTROPHOTOMETER ...
 
Thesis_11 11 2016
Thesis_11 11 2016Thesis_11 11 2016
Thesis_11 11 2016
 
Project Presentation
Project PresentationProject Presentation
Project Presentation
 
Isotopic signatures in the tissues of Mytilus galloprovincialis and Ulva latu...
Isotopic signatures in the tissues of Mytilus galloprovincialis and Ulva latu...Isotopic signatures in the tissues of Mytilus galloprovincialis and Ulva latu...
Isotopic signatures in the tissues of Mytilus galloprovincialis and Ulva latu...
 
Tyler Johnston Thesis Defence
Tyler Johnston Thesis DefenceTyler Johnston Thesis Defence
Tyler Johnston Thesis Defence
 
CLRA MSSS 2015 Walker Winnipeg
CLRA MSSS 2015 Walker WinnipegCLRA MSSS 2015 Walker Winnipeg
CLRA MSSS 2015 Walker Winnipeg
 
0.0 EXPERIMENT ON DETERMINATION OF DISSOLVED OXYGEN
0.0 EXPERIMENT ON DETERMINATION OF DISSOLVED OXYGEN0.0 EXPERIMENT ON DETERMINATION OF DISSOLVED OXYGEN
0.0 EXPERIMENT ON DETERMINATION OF DISSOLVED OXYGEN
 
Wastewater.pptx
Wastewater.pptxWastewater.pptx
Wastewater.pptx
 
Bio componets proposalc14123361t
Bio componets proposalc14123361tBio componets proposalc14123361t
Bio componets proposalc14123361t
 
2012 Norris and Titshall WaterSA
2012 Norris and Titshall WaterSA2012 Norris and Titshall WaterSA
2012 Norris and Titshall WaterSA
 
1-s2.0-S0011916415003719-SJ
1-s2.0-S0011916415003719-SJ1-s2.0-S0011916415003719-SJ
1-s2.0-S0011916415003719-SJ
 
Zander 2005 - Solid phase microextraction method to fingerprint DOC
Zander 2005 - Solid phase microextraction method to fingerprint DOCZander 2005 - Solid phase microextraction method to fingerprint DOC
Zander 2005 - Solid phase microextraction method to fingerprint DOC
 
Performance of combination of pre ozonation and membrane biological reactor o...
Performance of combination of pre ozonation and membrane biological reactor o...Performance of combination of pre ozonation and membrane biological reactor o...
Performance of combination of pre ozonation and membrane biological reactor o...
 
UCSC Master's Presentation by Wilson Sauthoff
UCSC Master's Presentation by Wilson SauthoffUCSC Master's Presentation by Wilson Sauthoff
UCSC Master's Presentation by Wilson Sauthoff
 
Determination-Of-Sources-Of-Water-Pollution
Determination-Of-Sources-Of-Water-PollutionDetermination-Of-Sources-Of-Water-Pollution
Determination-Of-Sources-Of-Water-Pollution
 
Nitrogen Transformations in Aquaponic Systems
Nitrogen Transformations in Aquaponic SystemsNitrogen Transformations in Aquaponic Systems
Nitrogen Transformations in Aquaponic Systems
 
The chemical investigation on water pollution of kurnool district by water qu...
The chemical investigation on water pollution of kurnool district by water qu...The chemical investigation on water pollution of kurnool district by water qu...
The chemical investigation on water pollution of kurnool district by water qu...
 
Using advanced analytical chemistry and hydrogeological modeling to identify ...
Using advanced analytical chemistry and hydrogeological modeling to identify ...Using advanced analytical chemistry and hydrogeological modeling to identify ...
Using advanced analytical chemistry and hydrogeological modeling to identify ...
 
Ijciet 06 09_002
Ijciet 06 09_002Ijciet 06 09_002
Ijciet 06 09_002
 

Recently uploaded

Summary of the Climate and Energy Policy of Australia
Summary of the Climate and Energy Policy of AustraliaSummary of the Climate and Energy Policy of Australia
Summary of the Climate and Energy Policy of Australia
yasmindemoraes1
 
Presentación Giulio Quaggiotto-Diálogo improbable .pptx.pdf
Presentación Giulio Quaggiotto-Diálogo improbable .pptx.pdfPresentación Giulio Quaggiotto-Diálogo improbable .pptx.pdf
Presentación Giulio Quaggiotto-Diálogo improbable .pptx.pdf
Innovation and Technology for Development Centre
 
Alert-driven Community-based Forest monitoring: A case of the Peruvian Amazon
Alert-driven Community-based Forest monitoring: A case of the Peruvian AmazonAlert-driven Community-based Forest monitoring: A case of the Peruvian Amazon
Alert-driven Community-based Forest monitoring: A case of the Peruvian Amazon
CIFOR-ICRAF
 
AGRICULTURE Hydrophonic FERTILISER PPT.pptx
AGRICULTURE Hydrophonic FERTILISER PPT.pptxAGRICULTURE Hydrophonic FERTILISER PPT.pptx
AGRICULTURE Hydrophonic FERTILISER PPT.pptx
BanitaDsouza
 
alhambra case study Islamic gardens part-2.pptx
alhambra case study Islamic gardens part-2.pptxalhambra case study Islamic gardens part-2.pptx
alhambra case study Islamic gardens part-2.pptx
CECOS University Peshawar, Pakistan
 
growbilliontrees.com-Trees for Granddaughter (1).pdf
growbilliontrees.com-Trees for Granddaughter (1).pdfgrowbilliontrees.com-Trees for Granddaughter (1).pdf
growbilliontrees.com-Trees for Granddaughter (1).pdf
yadavakashagra
 
Daan Park Hydrangea flower season I like it
Daan Park Hydrangea flower season I like itDaan Park Hydrangea flower season I like it
Daan Park Hydrangea flower season I like it
a0966109726
 
Artificial Reefs by Kuddle Life Foundation - May 2024
Artificial Reefs by Kuddle Life Foundation - May 2024Artificial Reefs by Kuddle Life Foundation - May 2024
Artificial Reefs by Kuddle Life Foundation - May 2024
punit537210
 
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business Ventures
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business VenturesWillie Nelson Net Worth: A Journey Through Music, Movies, and Business Ventures
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business Ventures
greendigital
 
International+e-Commerce+Platform-www.cfye-commerce.shop
International+e-Commerce+Platform-www.cfye-commerce.shopInternational+e-Commerce+Platform-www.cfye-commerce.shop
International+e-Commerce+Platform-www.cfye-commerce.shop
laozhuseo02
 
ppt on beauty of the nature by Palak.pptx
ppt on  beauty of the nature by Palak.pptxppt on  beauty of the nature by Palak.pptx
ppt on beauty of the nature by Palak.pptx
RaniJaiswal16
 
Sustainable farming practices in India .pptx
Sustainable farming  practices in India .pptxSustainable farming  practices in India .pptx
Sustainable farming practices in India .pptx
chaitaliambole
 
Scope of political science habaushS.pptx
Scope of political science habaushS.pptxScope of political science habaushS.pptx
Scope of political science habaushS.pptx
Ni Ca
 
How about Huawei mobile phone-www.cfye-commerce.shop
How about Huawei mobile phone-www.cfye-commerce.shopHow about Huawei mobile phone-www.cfye-commerce.shop
How about Huawei mobile phone-www.cfye-commerce.shop
laozhuseo02
 
Characterization and the Kinetics of drying at the drying oven and with micro...
Characterization and the Kinetics of drying at the drying oven and with micro...Characterization and the Kinetics of drying at the drying oven and with micro...
Characterization and the Kinetics of drying at the drying oven and with micro...
Open Access Research Paper
 
Climate Change All over the World .pptx
Climate Change All over the World  .pptxClimate Change All over the World  .pptx
Climate Change All over the World .pptx
sairaanwer024
 
Navigating the complex landscape of AI governance
Navigating the complex landscape of AI governanceNavigating the complex landscape of AI governance
Navigating the complex landscape of AI governance
Piermenotti Mauro
 
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for..."Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...
MMariSelvam4
 
Prevalence of Toxoplasma gondii infection in domestic animals in District Ban...
Prevalence of Toxoplasma gondii infection in domestic animals in District Ban...Prevalence of Toxoplasma gondii infection in domestic animals in District Ban...
Prevalence of Toxoplasma gondii infection in domestic animals in District Ban...
Open Access Research Paper
 
Sustainable Rain water harvesting in india.ppt
Sustainable Rain water harvesting in india.pptSustainable Rain water harvesting in india.ppt
Sustainable Rain water harvesting in india.ppt
chaitaliambole
 

Recently uploaded (20)

Summary of the Climate and Energy Policy of Australia
Summary of the Climate and Energy Policy of AustraliaSummary of the Climate and Energy Policy of Australia
Summary of the Climate and Energy Policy of Australia
 
Presentación Giulio Quaggiotto-Diálogo improbable .pptx.pdf
Presentación Giulio Quaggiotto-Diálogo improbable .pptx.pdfPresentación Giulio Quaggiotto-Diálogo improbable .pptx.pdf
Presentación Giulio Quaggiotto-Diálogo improbable .pptx.pdf
 
Alert-driven Community-based Forest monitoring: A case of the Peruvian Amazon
Alert-driven Community-based Forest monitoring: A case of the Peruvian AmazonAlert-driven Community-based Forest monitoring: A case of the Peruvian Amazon
Alert-driven Community-based Forest monitoring: A case of the Peruvian Amazon
 
AGRICULTURE Hydrophonic FERTILISER PPT.pptx
AGRICULTURE Hydrophonic FERTILISER PPT.pptxAGRICULTURE Hydrophonic FERTILISER PPT.pptx
AGRICULTURE Hydrophonic FERTILISER PPT.pptx
 
alhambra case study Islamic gardens part-2.pptx
alhambra case study Islamic gardens part-2.pptxalhambra case study Islamic gardens part-2.pptx
alhambra case study Islamic gardens part-2.pptx
 
growbilliontrees.com-Trees for Granddaughter (1).pdf
growbilliontrees.com-Trees for Granddaughter (1).pdfgrowbilliontrees.com-Trees for Granddaughter (1).pdf
growbilliontrees.com-Trees for Granddaughter (1).pdf
 
Daan Park Hydrangea flower season I like it
Daan Park Hydrangea flower season I like itDaan Park Hydrangea flower season I like it
Daan Park Hydrangea flower season I like it
 
Artificial Reefs by Kuddle Life Foundation - May 2024
Artificial Reefs by Kuddle Life Foundation - May 2024Artificial Reefs by Kuddle Life Foundation - May 2024
Artificial Reefs by Kuddle Life Foundation - May 2024
 
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business Ventures
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business VenturesWillie Nelson Net Worth: A Journey Through Music, Movies, and Business Ventures
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business Ventures
 
International+e-Commerce+Platform-www.cfye-commerce.shop
International+e-Commerce+Platform-www.cfye-commerce.shopInternational+e-Commerce+Platform-www.cfye-commerce.shop
International+e-Commerce+Platform-www.cfye-commerce.shop
 
ppt on beauty of the nature by Palak.pptx
ppt on  beauty of the nature by Palak.pptxppt on  beauty of the nature by Palak.pptx
ppt on beauty of the nature by Palak.pptx
 
Sustainable farming practices in India .pptx
Sustainable farming  practices in India .pptxSustainable farming  practices in India .pptx
Sustainable farming practices in India .pptx
 
Scope of political science habaushS.pptx
Scope of political science habaushS.pptxScope of political science habaushS.pptx
Scope of political science habaushS.pptx
 
How about Huawei mobile phone-www.cfye-commerce.shop
How about Huawei mobile phone-www.cfye-commerce.shopHow about Huawei mobile phone-www.cfye-commerce.shop
How about Huawei mobile phone-www.cfye-commerce.shop
 
Characterization and the Kinetics of drying at the drying oven and with micro...
Characterization and the Kinetics of drying at the drying oven and with micro...Characterization and the Kinetics of drying at the drying oven and with micro...
Characterization and the Kinetics of drying at the drying oven and with micro...
 
Climate Change All over the World .pptx
Climate Change All over the World  .pptxClimate Change All over the World  .pptx
Climate Change All over the World .pptx
 
Navigating the complex landscape of AI governance
Navigating the complex landscape of AI governanceNavigating the complex landscape of AI governance
Navigating the complex landscape of AI governance
 
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for..."Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...
 
Prevalence of Toxoplasma gondii infection in domestic animals in District Ban...
Prevalence of Toxoplasma gondii infection in domestic animals in District Ban...Prevalence of Toxoplasma gondii infection in domestic animals in District Ban...
Prevalence of Toxoplasma gondii infection in domestic animals in District Ban...
 
Sustainable Rain water harvesting in india.ppt
Sustainable Rain water harvesting in india.pptSustainable Rain water harvesting in india.ppt
Sustainable Rain water harvesting in india.ppt
 

The Distribution and behaviour of Nitrogen-based nutrients in Terengganu River estuary, Malaysia

  • 1. AZYYATI BINTI ABDUL AZIZ GSK1345 SUPERVISOR: ASSOC. PROF. DR. SUHAIMI BIN SURATMAN CO-SUPERVISOR: PROF. DR. NORHAYATI BT MOHD TAHIR.
  • 2. Nitrogen-based nutrient : Inorganic (NO3 -, NO2 -, NH4 +) & Organic (DON, PON) INTRODUCTION Why Nitrogen? As a limiting factor (if < supply, limit growth) (Lasso & Ackerman, 2013) Essential compound for growth & reproduction aquatic plants & animals Important indicator of water quality (Excess of N can caused eutrophication) Why Nitrogen? As a limiting factor (if < supply, limit growth) (Lasso & Ackerman, 2013) Essential compound for growth & reproduction aquatic plants & animals Important indicator of water quality (Excess of N can caused eutrophication) Why Nitrogen? As a limiting factor (if < supply, limit growth) (Lasso & Ackerman, 2013) Essential compound for growth & reproduction aquatic plants & animals Important indicator of water quality (Excess of N can caused eutrophication) Why Nitrogen? As a limiting factor (if < supply, limit growth) (Lasso & Ackerman, 2013) Essential compound for growth & reproduction aquatic plants & animals Important indicator of water quality (Excess of N can caused eutrophication) Freshwater end-member Estuary Coastal water
  • 4. Behaviour of nutrients Conservative behaviour • If the data fall on theoretical dilution line, which joining the end member of the mixing series. • No removal or addition occurs within the estuaries. Conservative behaviour Non- Conservative behaviour • If the data fall on theoretical dilution line, which joining the end member of the mixing series. • No removal or addition occurs within the estuaries. • A bend above or below the theoretical dilution line • Nutrient addition or removal occurs within the estuaries. • If nutrients are more concentrated in seawater than river water and the slope will be positive (a). • If nutrients are more concentrated in river water than seawater and the slope will be negative (b). The conservative index of mixing Liss (1976)
  • 5.  Research on the distribution of nutrients and impact of such human activities on water quality have been done worldwide.  However, the behaviour of nutrient is very limited and distribution of nutrient during neap-spring tidal cycles is still poorly known.  Less study on monitoring the nutrients distribution in Terengganu River estuary after construction of breakwater.  Thus, the data obtain may serve as a baseline study of future investigations on the distribution and behaviours of nutrients. Significant of study
  • 6. OBJECTIVES To investigate the distributions and behaviour of nitrogen-based nutrients in Terengganu river estuary. To identify the effect of tidal changes (spring, neap) on the parameter measured. To characterize the dissolved organic nitrogen (DON) according to their molecular weight or size fractionation.
  • 8. METHODOLOGY Field sampling Samples collection • 30 sampling stations (Longitudinal survey) • 2 fixed sampling stations (Diurnal survey) – Every 2 hours in 12 hours/ sampling • Van Dorn sampler at about 0.5m depth Stored • High density polyethylene (HDPE) bottle and placed in an ice chest containing ice Samples collection • 30 sampling stations (Longitudinal survey) • 2 fixed sampling stations (Diurnal survey) – Every 2 hours in 12 hours/ sampling • Van Dorn sampler at about 0.5m depth Transported to laboratory for further analysis. Stored • High density polyethylene (HDPE) bottle and placed in an ice chest containing ice Samples collection • 30 sampling stations (Longitudinal survey) • 2 fixed sampling stations (Diurnal survey) – Every 2 hours in 12 hours/ sampling • Van Dorn sampler at about 0.5m depth
  • 9. Samples analysis Water Samples Filter with GF/F (0.7 µM ) Dissolved Filtered water Dissolved Inorganic nitrogen ( NO3 -, NO2 -, NH4 + ) Inorganic nitrogen ( NO3 -, NO2 -, NH4 + ) ~Calorimetric method. ~Skalar Autoanalyser Organic nitrogen (DON) ~Calorimetric method. ~Skalar Autoanalyser Organic nitrogen (DON) ~HTCO method. ~ TOC/N Analyzer Particulate Filtered paper ~HTCO method. ~ TOC/N Analyzer Particulate Particulate organic nitrogen (PON) ~ HTO Method ~ CHNS-O Elemental Analyser Particulate organic nitrogen (PON)
  • 10. Filtered water samples (0.7 µM GF/ F) Samples analysis cont. Organic fractionation Water samples were passed through the 10 kDa PES membrane by using vivaflow 200 Filtered water samples (0.7 µM GF/ F) 40 ml of samples were collected Water samples were passed through the 10 kDa PES membrane by using vivaflow 200 Filtered water samples (0.7 µM GF/ F) Analyse by using TOC/N analyser 40 ml of samples were collected Water samples were passed through the 10 kDa PES membrane by using vivaflow 200 Filtered water samples (0.7 µM GF/ F)
  • 11. RESULTS & DISCUSSION Longitudinal profile (Distribution)
  • 12. Nitrite 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 Nitrite(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 0.002-0.105 µM S/F= 0.080-0.393 µM N/E= 0.042-0.232 µM N/F= 0.089-0.349 µM 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 Nitrate(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) Nitrate S/E= 0.3-4.1 µM S/F= 1.2-4.7 µM N/E= 0.6-3.3 µM N/F= 0.5-4.0 µM 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 Nitrite(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 0.002-0.105 µM 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 Nitrite(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/F= 0.080-0.393 µM 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 Nitrite(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 0.002-0.105 µM S/F= 0.080-0.393 µM N/E= 0.042-0.232 µM N/F= 0.089-0.349 µM 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 Nitrateconc.(µM) Sampling stations N/E= 0.6-3.3 µM 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 Nitrateconc.(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/F= 1.2-4.7 µM 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 Nitrate(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 0.3-4.1 µM S/F= 1.2-4.7 µM N/E= 0.6-3.3 µM N/F= 0.5-4.0 µM
  • 13. Ammonia 0 5 10 15 20 25 30 35 40 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 Ammonium(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 5.4-35.4 µM S/F= 4.5-23.6 µM N/E= 2.0-27.4 µM N/F= 1.0-19.3 µM DON 0 5 10 15 20 25 30 35 40 45 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 DON(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 10.0-40.6 µM S/F= 11.4-32.4 µM N/E= 3.2-37.6 µM N/F= 5.3-36.9 µM 0 5 10 15 20 25 30 35 40 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 Ammonium(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) N/F= 1.0-19.3 µM 0 5 10 15 20 25 30 35 40 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 Ammonium(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 5.4-35.4 µM 0 5 10 15 20 25 30 35 40 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 Ammonium(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 5.4-35.4 µM S/F= 4.5-23.6 µM N/E= 2.0-27.4 µM N/F= 1.0-19.3 µM 0 5 10 15 20 25 30 35 40 45 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 DON(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/F= 11.4-32.4 µM 0 5 10 15 20 25 30 35 40 45 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 DON(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 10.0-40.6 µM 0 5 10 15 20 25 30 35 40 45 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 DON(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 10.0-40.6 µM S/F= 11.4-32.4 µM N/E= 3.2-37.6 µM N/F= 5.3-36.9 µM
  • 14. PON 0 5 10 15 20 25 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 PON(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 5.8-16.0 µM S/F= 6.0-18.3 µM N/E= 1.5-23.6 µM N/F= 3.0-18.8 µM • Lower PON concentration was found during S/E survey (monsoon season) • Higher PON concentration was recorded during N/E survey • Low water turbulence during neap was not able to disperse the nutrient rich contained in the surface water, which derived from land based. • And slow water flow not able to flush PON out completely from the estuary to coastal water. 0 5 10 15 20 25 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 PON(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 5.8-16.0 µM 0 5 10 15 20 25 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 PON(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) N/E= 1.5-23.6 µM 0 5 10 15 20 25 TA TB TC TD TE TF TG TH TI TJ T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 PON(µM) Sampling stations S/E (22.2.2012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012) S/E= 5.8-16.0 µM S/F= 6.0-18.3 µM N/E= 1.5-23.6 µM N/F= 3.0-18.8 µM
  • 16. Neap tide (Range: 0.09-0.40 µM) Spring tide (Range: 0.13-0.20 µM) Nitrite 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 Nitrite(µM) Times T7 T24 0.05 0.07 0.09 0.11 0.13 0.15 0.17 0.19 0.21 Nitrite(µM) Times T7 T24 Neap tide (Range: 0.55-1.44 µM) Nitrate 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 Nitrate(µM) Times T7 T24 Spring tide (Range: 1.93-2.92 µM) 1.0 1.5 2.0 2.5 3.0 3.5 Nitrate(µM) Times T7 T24 Flood tide Ebb tide Flood tide Ebb tide Flood tide High tide Low tide
  • 17. Neap tide (Range: 5.1-15.8 µM) Spring tide (Range: 10.6-16.3) Ammonia 0 2 4 6 8 10 12 14 16 18 7.40am 9.40am 11.40am 1.40pm 3.40pm 5.40pm 7.40pm Ammonia(µM) Times T7 T24 0 2 4 6 8 10 12 14 16 18 Ammonia(µM) Times T7 T24 DON Spring tide (Range:24.6-89.06)Neap tide (Range: 33.4-88.6) 0 10 20 30 40 50 60 70 80 90 100 DON(µM) Times T7 T24 0 10 20 30 40 50 60 70 80 90 100 DON(µM) Times T7 T24 Flood tide Ebb tide Flood tide Ebb tide Flood tide
  • 18. Neap tide (Range: 25.2-33.3 µM) Spring tide (Range: 23.5-29.6 µM) 20 22 24 26 28 30 32 34 36 7.40am 9.40am 11.40am 1.40pm 3.40pm 5.40pm 7.40pm PON(µM) Times T7 T24 PON 20 22 24 26 28 30 32 34 36 PON(µM) Times T7 T24 • PON did not follow the tidal condition. • During neap: Peaked at 3.40 pm during ebb tide -high anthropogenic input during that time. • During spring: Peaked at 7.30 pm Flood tideFlood tideFlood tide Ebb tide Ebb tide
  • 20. Nitrite 0.00 0.02 0.04 0.06 0.08 0.10 0.12 0 5 10 15 20 25 30 Nitrite(µM) Salinity (ppt) 22.2.2012 (Spring tide, Ebb water) 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0 5 10 15 20 25 30 Nitrite(µM) Salinity (ppt) 10.6.2012 (Spring tide,Flood water 0.00 0.05 0.10 0.15 0.20 0.25 0 5 10 15 20 25 30 Nitrite(µM) Salinity (ppt) 4.5.2012 (Neap tide, Ebb water) 0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20 0 5 10 15 20 25 30 Nirite(µM) Salinity (ppt) 2.4.2012 (Neap tide, Flood water) Non-conservative (addition) Non-conservative (addition) Non-conservative (addition) Non-conservative (addition)
  • 21. 0.0 0.5 1.0 1.5 2.0 2.5 0 5 10 15 20 25 30 Nitrate(µM) Salinity (ppt) 22.2.2012 (Spring tide,Ebb water) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 0 5 10 15 20 25 30 Nitrate(µM) Salinity (ppt) 10.6.2012 (Spring tide, Flood water) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 0 5 10 15 20 25 30 Nitrate(µM) Salinity (ppt) 4.5.2012 (Neap tide, Ebb water) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 0 5 10 15 20 25 30 Nitrate(µM) Salinity (ppt) 2.4.2012 (Neap tide, Flood water) Nitrate Non-conservative (addition) Non-conservative (addition) Non-conservative (removal) Non-conservative (removal) 0 1 2 3 4 5 6 7 0 5 10 15 20 25 30 DO(mg/L) Salinity (ppt) 22.2.2012 (Spring tide, Ebb water) Non-conservative (removal) (Salum, 2015) 0 1 2 3 4 5 6 7 0 5 10 15 20 25 30 DO(mg/L) Salinity (ppt) 2.4.2012 (Neap tide, Flood water) Non-conservative (removal) (Salum, 2015) Denitrification process Removal of DO contents
  • 22. 0 5 10 15 20 25 30 0 5 10 15 20 25 30 Ammonia(µM) Salinity (ppt) 22.2.2012 (Spring tide,Ebb water) 0 2 4 6 8 10 12 14 0 5 10 15 20 25 30 Ammonia(µM) Salinity (ppt) 10.6.2012 (Spring tide, Flood water) 0 5 10 15 20 25 0 5 10 15 20 25 30 Ammonia(µM) Salinity (ppt) 4.5.2012 (Neap tide, Ebb water) 0 2 4 6 8 10 12 14 0 5 10 15 20 25 30 Ammonia(µM) Salinity (ppt) 2.4.2012 (Neap tide, Flood water) Ammonia Non-conservative (addition) Non-conservative (addition) Non-conservative (addition) Non-conservative (addition)
  • 23. 0 5 10 15 20 25 30 35 0 5 10 15 20 25 30 DON(µM) Salinity (ppt) 22.2.2012 (Spring tide,Ebb water) 0 5 10 15 20 25 30 0 5 10 15 20 25 30 DON(µM) Salinity (ppt) 10.6.2012 (Spring tide, Flood water) 0 2 4 6 8 10 12 14 16 18 20 0 5 10 15 20 25 30 DON(µM) Salinity (ppt) 4.5.2012 (Neap tide, Ebb water) 0 2 4 6 8 10 12 14 16 18 20 0 5 10 15 20 25 30 DON(µM) Salinity (ppt) 2.4.2012 (Neap tide, Flood water) Non-conservative (addition) Non-conservative (addition) Non-conservative (addition) Non-conservative (addition) DON
  • 24. 0 5 10 15 0 5 10 15 20 25 30 PON(µM) Salinity (ppt) 22.2.2012 (Spring tide,Ebb water) 0 5 10 15 20 0 5 10 15 20 25 30 PON(µM) Salinity (ppt) 10.6.2012 (Spring tide, Flood water) 0 5 10 15 20 0 5 10 15 20 25 30 PON(µM) Salinity (ppt) 4.5.2012 (Neap tide, Ebb water) 0 5 10 15 20 0 5 10 15 20 25 30 PON(µM) Salinity (ppt) 2.4.2012 (Neap tide, Flood water) PON Non-conservative (addition) Non-conservative (addition) Non-conservative (addition) Non-conservative (addition)
  • 25. Parameter (µ𝑴) Previous study (Jan, 2002) Previous study (Theivanan, 2009) Present study (2012) Nitrite 0.003-0.25 0.05-0.138 0.002-0.393 Nitrate 1.9-7.0 0.12-103.9 0.3-4.7 Ammonia 0.02-0.09 0.015-0.037 1.0-35.4 DON 0.4-3.5 - 3.2-40.6 PON - - 1.5-23.6 Comparison
  • 26. As captured on 20th July 2002 (Landsat) Breakwater in Terengganu River estuary As captured on 18th Sept. 2012 (Google Earth)NAHRIM, 2011NAHRIM, 2011
  • 27. Relative Abundance (Longitudinal) 0 10 20 30 40 50 T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 N(%) Stations 22/2/2012 (Spring tide, ebb water) 0 10 20 30 40 50 60 T3 T4 T5 T6 T7 T8 T9 T10 T11 T12 T13 T14 T15 T16 T17 T18 T19 T20 T21 T22 T23 T24 N(%) Stations 10/6/2012 (Spring tide, flood water) 0 10 20 30 40 50 TA TC TE TG TI T1 T3 T5 T7 T9 T11 T13 T15 T17 T19 T21 T23 N(%) Stations 4/5/2012 (Neap tide, ebb water) 0 10 20 30 40 50 60 TH TJ T2 T4 T6 T8 T10 T12 T14 T16 T18 T20 T22 T24 N(%) Stations 2/4/2012 (Neap tide, flood water) % DIN % DON % PON DIN 39% DON 43% PON 18% Spring tide, Ebb water DIN 33% DON 41% PON 26% Spring tide, Flood water DIN 37% DON 37% PON 26% Neap tide, Ebb water DIN 29% DON 43% PON 28% Neap tide, Flood water 100% of Total N
  • 28. Relative Abundance (Diurnal) 0 10 20 30 40 50 60 70 80 7.40am 9.40am 11.40am 1.40pm 3.40pm 5.40pm 7.40pm Nitrogen(%) Times Station 7 (Neap tide) 0 10 20 30 40 50 60 70 80 Nitrogen(%) Times Station 24 (Neap tide) %DIN %DON %PON 0 10 20 30 40 50 60 70 80 7.30am 9.30am 11.30am 1.30pm 3.30pm 5.30pm 7.30pm Nitrogen(%) Times Station 7 (Spring tide) 0 10 20 30 40 50 60 70 7.30am 9.30am 11.30am 1.30pm 3.30pm 5.30pm 7.30pm Nitrogen(%) Times Station 24 (Spring tide) 0 10 20 30 40 50 60 70 80 7.40am 9.40am 11.40am 1.40pm 3.40pm 5.40pm 7.40pm Nitrogen(%) Times Station 7 (Neap tide) 0 10 20 30 40 50 60 70 80 Nitrogen(%) Times Station 24 (Neap tide) %DIN %DON %PON 0 10 20 30 40 50 60 70 80 7.30am 9.30am 11.30am 1.30pm 3.30pm 5.30pm 7.30pm Nitrogen(%) Times Station 7 (Spring tide) 0 10 20 30 40 50 60 70 7.30am 9.30am 11.30am 1.30pm 3.30pm 5.30pm 7.30pm Nitrogen(%) Times Station 24 (Spring tide) 0 10 20 30 40 50 60 70 80 7.40am 9.40am 11.40am 1.40pm 3.40pm 5.40pm 7.40pm Nitrogen(%) Times Station 7 (Neap tide) 0 10 20 30 40 50 60 70 80 Nitrogen(%) Times Station 24 (Neap tide) %DIN %DON %PON 0 10 20 30 40 50 60 70 80 7.30am 9.30am 11.30am 1.30pm 3.30pm 5.30pm 7.30pm Nitrogen(%) Times Station 7 (Spring tide) 0 10 20 30 40 50 60 70 7.30am 9.30am 11.30am 1.30pm 3.30pm 5.30pm 7.30pm Nitrogen(%) Times Station 24 (Spring tide) DIN 16% DON 56% PON 28% Station 7 (Spring tide) DIN 9% DON 63% PON 28% Station 7 (Neap tide) DIN 17% DON 57% PON 26% Station 24 (Spring tide) DIN 13% DON 61% PON 26% Station 24 (Neap tide)
  • 29. Fractionation study of DON 8 fixed stations
  • 30. % LMW DON (mean LMW DON-mean chl-a) 0 10 20 30 40 50 60 70 80 90 100 T1 T9 T11 T15 T18 T19 T20 T24 LMWDON(%) Stations S/E (22.2.012) N/F (2.4.2012) N/E (4.5.2012) S/F (10.6.2012)  No significance different (p>0.05) between sampling survey and station.  LMW DON during neap tide (57-95%) and spring tide (35-71%) Higher N/E = 57-95% Lower S/E = 35-70% N/F = 58-91% S/F = 45-71% 65 69 63 74 81 59 69 54 1.79 2.23 1.03 4.83 9.75 2.45 10.76 2.84 0 2 4 6 8 10 12 0 10 20 30 40 50 60 70 80 90 100 T1 T9 T11 T15 T18 T19 T20 T24 MeanChl-a(mg/L) MeanLMWDON(%) Sampling stations LMW DON Chl-a Ave: 81% Chl-a: 9.75 mg/L
  • 31. y = 4.3325x + 42.272 R² = 0.6985 0 20 40 60 80 100 0 2 4 6 8 LMWDON(%) Chl-a (mg/L) Spring tide Ebb water y = 2.5316x + 67.395 R² = 0.4325 0 20 40 60 80 100 0 2 4 6 8 10LMWDON(%) Chl-a (mg/L) Neap tide Flood water y = 0.9937x + 73.217 R² = 0.5185 0 20 40 60 80 100 0 2 4 6 8 10 12 14 16 18 20 22 24 LMWDON(%) Chl-a (mg/L) Neap tide Ebb water y = 2.0686x + 48.784 R² = 0.1977 0 20 40 60 80 100 0 2 4 6 8 LMWDON(%) Chl-a (mg/L) Spring tide Flood water % LMW DON in each surveys • This relationship were used in order to investigate the potential source of LMW DON. • Interaction LMW DON vs Chl-a  S/E & N/E = dominated with LMW DON  S/F & N/F = dominated with HMW DON
  • 32. CONCLUSION  The longitudinal profile showed that higher concentrations of N-based nutrients were recorded at freshwater end-member and urban area of Kuala Terengganu town. DIN and DON showed higher concentration during the spring tide compared to neap tide.  The diurnal profile showed the distribution of DIN and DON were influenced by tidal conditions (exception of PON). Diurnal profile support the longitudinal distribution, where spring tide exhibited high nutrients concentration in TRE.  Generally, N-based nutrients demonstrated a non-conservatively behaviour with an addition tendency was observed in all four surveys, except for nitrate (removal) during S/E and N/F surveys.  The LMW DON during S/E and N/E surveys were correlated with chl-a. Higher percentage of LMW DON were found during neap tide and HMW DON dominated during spring tide.

Editor's Notes

  1. Nutrient is inorganic & organic solute essential for the growth of all autotrophic primary producers (Suratman, 2007). Nitrogen containing compound act as nutrients in the stream&river. Macronutrient required in large amount (N,P,Si&C) micro very small amount but still necessary ec boron,copper. Various forms of nitrogen can be found in water including organic and inorganic forms such as N03, NO2(represent only a minor), NH4, Urea, DON, PON. Why we should be interested in nutrient (nitrogen) fluxes….because N is very important ---it a essential compound for growth & reproduction in plant & animal. As a limiting factor-if sufficient nutrient, light & suitable temp..algae continue grow unless inadequate supply of TN in waterbodies has been found to limit the growth algae. (i.e., phytoplankton). Generally a ratio N:P 16:1 Reason for N -as indicator-common reason for eutrophication in a water body is the increase of nitrogen and phosphorus nutrients
  2. Conflicts between estuary capacity and human need always occurred due to rapid developments in estuaries area (Razak et al., 2012). Monsoon effect Salinity effect Water circulation & wind effect TRE- funnel shaped -categorized as a small estuary -total area 8 km2 -shallow -max depth 7m Average depth 4m Terengganu River estuary facing the southern of South China Sea and situated on the east coast of Peninsular Malaysia and Experience with 2 main season Northeast & Southeast monsoon 1- Important region for nutrient transformation & very nutrient rich ecosystem which lead to high productivity & high biodiversity 2-Represent one of the most aquatic resources and important ecosystem services. For example ecosystem service that estuaries provided like water filtration, habitat protection & protect coastal area, inland habitat and may reduced floods. When flooding does occur, estuaries often act like huge sponges, soaking up the excess water 3- estuary have salinities gradient, when ebb tide estuary dominated with freshwater, while during flood tide estuary dominated with salt water & different salinity can be measured & can be used as a std procedure for chemical investigation. 4.Salinity is one of main characteristic of estuary. when ebb tide estuary will dominated with freshwater with no salinity and when flood water estuary will dominated with saline water with salinity gradient and this can be used as a std procedure………to determine the conservative index of mixing 5-estuaries area often densely populated and surrounding with various economical activities and this may lead to anthropogenic impact. The conflict between estuary capacity and human need always occurred due to rapid development that focus in estuaries area (Razak et al. 2012). Various major projects have significantly reduced the estuarine surface and its functioning. These project include harbour construction, dam and dredging activities. Anthropogenic activities increase + population increase = lead to more pollution from various source In recent years, conflicts between estuary capacity and human needs always occur due to rapid developments For example, the Seine estuary represents 40% of France's economic activity (industry and agriculture), 50% of its river traffic, and 30% of its population (Dauvin & Pezy, 2013). Indirectly, it can perturbed the estuarine functioning and increase direct discharge waste water into this estuary. Anthropogenic have a great impact on the estuary water, insufficient wastewater treatment system may deteriorate the water quality Eliani et al. (2013) pointed out that anthropogenic dredging activities have the ability to reduce the capacity of the estuaries and may significantly remove nutrient especially nitrate from the estuaries.
  3. Concentration of nutrient VS salinity The behaviour of nutrients during mixing in the estuary can be evaluated by using a model that proposed by Liss (1976). Liss (1976) has provide a simple model to demonstrate the conservative and non-conservative behaviour of nutrients mixing. This model can be used of a given constituent in an estuary from simple mixing of a two-component system, made up of a single source of river and sea water. The nutrient behave conservatively if the data fall on a straight line joining the end member of the mixing series, often called the theoretical dilution line and its indicate no removal or addition occurs within the estuaries. If components are more concentrated in seawater than river water (Figure 2.1 (a)) the slope will be positive, and negative where the river water component concentrated than seawater (Figure 2.1 (b)). A bend above or below the theoretical dilution line indicate the non-conservative behaviour which nutrient addition or removal from the water occur. This model was proposed by Liss (1976) Model to demonstrate the conservative and non-conservative behaviour of nutrient mixing. (a) The positive slope -components are more concentrated in seawater than river water (b) The negative slope- the river water component concentrated than seawater A bend above or below the theoretical dilution line indicate the non-conservative behaviour which nutrient addition or removal from the water occur
  4. 30 samplings station, however, not all station can be sampled during longitudinal surveys due to safety reason. In general similar regions (coastal,estuary &freshwater) were covered during all samplings.
  5. Physical parameter~ salinity, pH, DOduring transportation to the laboratory
  6. DIN= grasshoff 1983 DOC+DON (High temp. catalytic oxidation) = suratman et al 2009, Muylaert et al 2005, sharp at al. 2002 PON+ POC =
  7. Size fractionation analyse by using TOC-VCPH analyser. polyesthersulfone
  8. NO2- Lower NO2 conc. recorded during S/E due to sampling was performed during monsoon season, as heavy rainfall possibly diluted the NO2 content in the surface water at this area. highest range of NO2 conc. found during S/F survey. As this sampling was carried out during dry season and low dilution from rain is lead to high NO2 conc. Comparison between neap & spring tide. The result indicated that neap tide recorded low conc. compared to spring tide. This situation is related to lower tidal range and weak water turbulence during neap tide may generated a weak current at the bottom water and NO2 no able released to the surface water and lead to low NO2 conc present in neap tide. SIGNIFICANCE p<0.05 between sampling trip NOT significance between sampling stations NO3-Lower nitrate conc recorded during NE with range between 0.6 to 3.3 MM, this could be related to slow water current cannot resuspension bottom sediment NO3- S/F survey recorded higher NO3 conc. With the value from 1.2 to 4.7 MM Overall results show that conc. Of NO3 in surface water were higher during spring tide rather than neap tide. During spring tide, strong water turbulence with high tidal range have affected the sediment resuspention in the bottom and response to high NO3 released to surface water.
  9. -This is the longitudinal variation of NH3 & DON along the study area. -Generally, NH3&DON showed a similar distribution pattern with nitrate which show higher concentration in freshwater region and decrease toward coastal water. And suggested the main source of this both parameter could be derived from freshwater input. -NH3 conc. during N/F & DON conc. during S/F recorded lower conc compared to other remaining surveys, this could be reflect to flood tide that transport low nutrients from open sea to estuary area. In contrast with Nitrite, both NH3 & DON were observed Highest during monsoon season which is during s/E. This phenomana probably due to heavy rainfall caused runoff of land bring terestrial input to the water column and increase the DON and NH3 content in surface water. - Comparison of NH3 & DON level between neap & spring tide indicate conc. Of this both parameter was higher during spring tide. & as mention before, this is as a result of Greater water mixing during spring tide might increase the resuspension event due to strong water current.
  10. Thus, PON at fixed station was not influenced by the tidal cycle
  11. The behaviour of nutrients during mixing in the estuary can be evaluated by using a model that proposed by Liss (1976). Liss (1976) has provide a simple model to demonstrate the conservative and non-conservative behaviour of nutrients mixing. This model can be used of a given constituent in an estuary from simple mixing of a two-component system, made up of a single source of river and sea water. The nutrient behave conservatively if the data fall on a straight line joining the end member of the mixing series, often called the theoretical dilution line and its indicate no removal or addition occurs within the estuaries. If components are more concentrated in seawater than river water (Figure 2.1 (a)) the slope will be positive, and negative where the river water component concentrated than seawater (Figure 2.1 (b)). A bend above or below the theoretical dilution line indicate the non-conservative behaviour which nutrient addition or removal from the water occur.
  12. All non-c ADDITION
  13. 2 NO3− + 10 e− + 12 H+ → N2 + 6 H2O. Denitrification is essentially the conversion of nitrate to nitrogen gas In contrast, nitrate removal in the water column during spring tide, possibly due to a chemical process takes place in the estuary through the denitrification process. This observation is supported by the removal of DO concentration at the same tide condition (Figure 5). In addition, this is consistent with the ammonia, which is found to behave non-conservatively with an addition process. This has been mainly attributed to a direct reduction of nitrate to ammonia, which rapid conversion of the oxide forms of nitrogen compounds in water with low DO content. Subsequently, low concentration of nitrate may lead to high ammonia concentration due to the influenced of low DO concentration. These results provide a clear indication that denitrification processes occur in the estuary. Denitrification process has been cited widely as a possible mechanism for nitrate removal during estuarine mixing
  14. Rapid development of human activities and increased human population Presence of breakwater, ammonia may trap from flushing out to coastal water and lead to ammonia increase in estuary especially at the inner part
  15. Breakwater: A barrier built out into a body of water to protect a coast or harbour from waves attack. -Influence the sediment transport process. Which accumulated at inner part of estuary and act as a trap for inorganic & organic substances. The presence of breakwater strongly influenced the environmental quality inside the breakwater -no impact were observed outside ---Matteucci (2013)
  16. The overall results obtained for each survey showed that DON was the dominant constituent of total N. DON & PON showed distinct variation between each other for each surveys.
  17. The overall results obtained for each survey showed that DON was the dominant constituent of total N. DON & PON showed distinct variation between each other for each surveys.
  18. DON higher – Anthropogenic loading (domestic sewage, aquaculture waste, livestock waste) - resuspension - release from primary producer such as phytoplankton/ algae - excreation by fish - from degradation process LOWER DIN taken by phytoplankton, may convert DIN to DON/PON
  19. Throughout the study, the percentage of LMW DON range between 35 to 95% Station that recorded higher % LMW DON corresponded to high concentration of chl-a. For example: at station T20 95% of LMW with average chl-a 10.76 mg/L
  20. Throughout the study, the percentage of LMW DON range between 35 to 95% Station that recorded higher % LMW DON corresponded to high concentration of chl-a. For example: at station T20 95% of LMW with average chl-a 10.76 mg/L
  21. 1-which reflects the input of anthropogenic activities. 2-due to water turbulence and tidal range. 3With the exception of nitrate, which showed the removal trend during S/E and N/F 4-The LMW DON during S/E and N/E surveys were significantly correlated with chl-a and indicated that the sources of LMW DON during this surveys derived from phytoplankton exudation The distribution of selected particulate trace metals was found to be influenced by the monsoon and post monsoon seasons