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OPTIMUM WATER TABLE DEPTH
FOR ACRA:
PART 5: WATER TABLE DEPTH AND MVOL
INVENTORY 2.0 YRS-R3
IN PEATLAND USING TPK 6-PAR AND REVISED
PIMS’s DATA
By Dedi K. Kalsim and Dwinata Aprialdi
Workshop Nasional Kebijakan dan Tata Kelola Lahan
Gambut di Indonesia, KLHK dan Wetlands International
Hotel Mirah, Bogor 27 May 2015
1D.K. KALSIM and DWINATA APRIALDI
DRAINAGE DESIGN
CRITERIA
WATER LEVEL SHOULD BE
DESIGNED AS HIGH AS POSSIBLE
BUT AS LOW AS REQUIRED BY
THE CROP
D.K. KALSIM and DWINATA APRIALDI 2
OBJECTIVE-METHODOLOGY
• OBJECTIVE
– To study How is the relationship between MVOL and WT
for ACRA
• METHODOLOGY
– There are 45 compartments data of weekly WT and MVOL
2 yrs R-3
– The wt depths are classified into:
• (0) wt < 0 or flooding, (1) wt 0-40 cm, (2) wt 40-70 cm, (3) wt 70-
90 cm, (4) wt 90-110 cm, and (5) wt>110 cm.
– The frequency relative of occurrence each wt class was
calculated for each compartment.
– The SPSS-19 is used to analyze
3D.K. KALSIM and DWINATA APRIALDI
RESULTS AND DISCUSSION
• The model linear is MVOL = 7.821 + 59.418
(wt>110) + 55.885 (wt90-110) + 44.737 (wt70-
90) + 40.062 (wt40-70) – 152.297 (wt0-40) –
387.142 (wt<0), R2=0.482
• It means 48% of variance can be described by
the model, but 52% can not be described and
could be influenced by other factors than WT
depth.
4D.K. KALSIM and DWINATA APRIALDI
MVOL COMPUTED-DATA
5
y = 0.4515x + 25.245
R = 0.4709
20,00
25,00
30,00
35,00
40,00
45,00
50,00
55,00
60,00
65,00
20,00 30,00 40,00 50,00 60,00 70,00 80,00 90,00
Data(m3/ha)
Computed (m3/ha)
MVol Data - Computed
mvol Linear (mvol)
D.K. KALSIM and DWINATA APRIALDI
D.K. KALSIM and DWINATA APRIALDI 6
WT VS YIELD IN THE WORLD
Sugarcane vs WT and number of days
WT<0.5 m, in Queensland, Australia
(Rudd and Chardon, 1977)
Winter wheat vs average WT in heavy
clay soils 5 yrs observation (FDEU, Min.
Agr., UK)
Relative yields (%) of crops with different depth of WT in a muck
soil (Harris et.al. 1962. Soil Science, 94 pp 158-161)
Crop
Number of
years
Depth of WT (m)
0.4 0.6 0.8 1.0
Potatoes 12 46 94 97 100
Onion 11 63 109 113 100
Sweet corn 4 61 100 92 100
Carrots 4 59 93 96 100
Average 57 99 99.5 100
D.K. KALSIM and DWINATA APRIALDI 7
0
20
40
60
80
100
120
0,2 0,4 0,6 0,8 1 1,2
RelativeYield(%)
Average WT depth (m)
Relative Yield (%) vs WT depth
YIELD (t/ha)
RESULTS AND DISCUSSION
• Increasing
frequency of
wt>110 up to
0.40, will increase
the MVOL from 40
to 62 m3/ha (Fig
1, R=0.354).
8D.K. KALSIM and DWINATA APRIALDI
• Increasing
frequency of
wt90-110 up to
0.50, will increase
the MVOL from
37 to 68 m3/ha
(Fig 2, R=0.511).
RESULTS AND DISCUSSION
9D.K. KALSIM and DWINATA APRIALDI
• Increasing
frequency of wt70-
90 up to 0.60, will
increase the MVOL
from 37 to 52
m3/ha (Fig 3,
R=0.249).
RESULTS AND DISCUSSION
10D.K. KALSIM and DWINATA APRIALDI
• Increasing
frequency of
wt40-70 up to
0.90, will
decrease the
MVOL from 58 to
32 m3/ha (Fig 4,
R=0.464).
RESULTS AND DISCUSSION
11D.K. KALSIM and DWINATA APRIALDI
• Increasing
frequency of
wt0-40 up to
0.11, will
decrease the
MVOL from 50
to 28 m3/ha
(Fig 5,
R=0.330).
RESULTS AND DISCUSSION
12D.K. KALSIM and DWINATA APRIALDI
• Increasing
frequency of
wt<0 (flooding)
up to 0.03, will
decrease the
MVOL from 50
to 35 m3/ha
(Fig 6, R=0.446).
RESULTS AND DISCUSSION
13D.K. KALSIM and DWINATA APRIALDI
CONCLUSIONS
• The optimum water table is 90-110 cm, MVOL 2
yr R3 ± 68 m3/ha. RAPP proposed 60-80 cm (±
52 m3/ha)
• WT 0-40 with frequency 0.11 and wt<0 (flooding)
with frequency 0.03, the MVOL 2 yr R3 ± 25
m3/ha – Reduce 63% - 48%
• Increasing WT 0-40 frequency (>0.11) will be
more reducing MVOL
• Flooding more than 6 weeks resulting mortality
>70% (Bakung-Langgam)
14D.K. KALSIM and DWINATA APRIALDI

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OPTIMUM WATER TABLE DEPTH FOR ACRA-Part 5 (2)

  • 1. OPTIMUM WATER TABLE DEPTH FOR ACRA: PART 5: WATER TABLE DEPTH AND MVOL INVENTORY 2.0 YRS-R3 IN PEATLAND USING TPK 6-PAR AND REVISED PIMS’s DATA By Dedi K. Kalsim and Dwinata Aprialdi Workshop Nasional Kebijakan dan Tata Kelola Lahan Gambut di Indonesia, KLHK dan Wetlands International Hotel Mirah, Bogor 27 May 2015 1D.K. KALSIM and DWINATA APRIALDI
  • 2. DRAINAGE DESIGN CRITERIA WATER LEVEL SHOULD BE DESIGNED AS HIGH AS POSSIBLE BUT AS LOW AS REQUIRED BY THE CROP D.K. KALSIM and DWINATA APRIALDI 2
  • 3. OBJECTIVE-METHODOLOGY • OBJECTIVE – To study How is the relationship between MVOL and WT for ACRA • METHODOLOGY – There are 45 compartments data of weekly WT and MVOL 2 yrs R-3 – The wt depths are classified into: • (0) wt < 0 or flooding, (1) wt 0-40 cm, (2) wt 40-70 cm, (3) wt 70- 90 cm, (4) wt 90-110 cm, and (5) wt>110 cm. – The frequency relative of occurrence each wt class was calculated for each compartment. – The SPSS-19 is used to analyze 3D.K. KALSIM and DWINATA APRIALDI
  • 4. RESULTS AND DISCUSSION • The model linear is MVOL = 7.821 + 59.418 (wt>110) + 55.885 (wt90-110) + 44.737 (wt70- 90) + 40.062 (wt40-70) – 152.297 (wt0-40) – 387.142 (wt<0), R2=0.482 • It means 48% of variance can be described by the model, but 52% can not be described and could be influenced by other factors than WT depth. 4D.K. KALSIM and DWINATA APRIALDI
  • 5. MVOL COMPUTED-DATA 5 y = 0.4515x + 25.245 R = 0.4709 20,00 25,00 30,00 35,00 40,00 45,00 50,00 55,00 60,00 65,00 20,00 30,00 40,00 50,00 60,00 70,00 80,00 90,00 Data(m3/ha) Computed (m3/ha) MVol Data - Computed mvol Linear (mvol) D.K. KALSIM and DWINATA APRIALDI
  • 6. D.K. KALSIM and DWINATA APRIALDI 6 WT VS YIELD IN THE WORLD Sugarcane vs WT and number of days WT<0.5 m, in Queensland, Australia (Rudd and Chardon, 1977) Winter wheat vs average WT in heavy clay soils 5 yrs observation (FDEU, Min. Agr., UK)
  • 7. Relative yields (%) of crops with different depth of WT in a muck soil (Harris et.al. 1962. Soil Science, 94 pp 158-161) Crop Number of years Depth of WT (m) 0.4 0.6 0.8 1.0 Potatoes 12 46 94 97 100 Onion 11 63 109 113 100 Sweet corn 4 61 100 92 100 Carrots 4 59 93 96 100 Average 57 99 99.5 100 D.K. KALSIM and DWINATA APRIALDI 7 0 20 40 60 80 100 120 0,2 0,4 0,6 0,8 1 1,2 RelativeYield(%) Average WT depth (m) Relative Yield (%) vs WT depth YIELD (t/ha)
  • 8. RESULTS AND DISCUSSION • Increasing frequency of wt>110 up to 0.40, will increase the MVOL from 40 to 62 m3/ha (Fig 1, R=0.354). 8D.K. KALSIM and DWINATA APRIALDI
  • 9. • Increasing frequency of wt90-110 up to 0.50, will increase the MVOL from 37 to 68 m3/ha (Fig 2, R=0.511). RESULTS AND DISCUSSION 9D.K. KALSIM and DWINATA APRIALDI
  • 10. • Increasing frequency of wt70- 90 up to 0.60, will increase the MVOL from 37 to 52 m3/ha (Fig 3, R=0.249). RESULTS AND DISCUSSION 10D.K. KALSIM and DWINATA APRIALDI
  • 11. • Increasing frequency of wt40-70 up to 0.90, will decrease the MVOL from 58 to 32 m3/ha (Fig 4, R=0.464). RESULTS AND DISCUSSION 11D.K. KALSIM and DWINATA APRIALDI
  • 12. • Increasing frequency of wt0-40 up to 0.11, will decrease the MVOL from 50 to 28 m3/ha (Fig 5, R=0.330). RESULTS AND DISCUSSION 12D.K. KALSIM and DWINATA APRIALDI
  • 13. • Increasing frequency of wt<0 (flooding) up to 0.03, will decrease the MVOL from 50 to 35 m3/ha (Fig 6, R=0.446). RESULTS AND DISCUSSION 13D.K. KALSIM and DWINATA APRIALDI
  • 14. CONCLUSIONS • The optimum water table is 90-110 cm, MVOL 2 yr R3 ± 68 m3/ha. RAPP proposed 60-80 cm (± 52 m3/ha) • WT 0-40 with frequency 0.11 and wt<0 (flooding) with frequency 0.03, the MVOL 2 yr R3 ± 25 m3/ha – Reduce 63% - 48% • Increasing WT 0-40 frequency (>0.11) will be more reducing MVOL • Flooding more than 6 weeks resulting mortality >70% (Bakung-Langgam) 14D.K. KALSIM and DWINATA APRIALDI