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Government of India & Government of The Netherlands
DHV CONSULTANTS &
DELFT HYDRAULICS with
HALCROW, TAHAL, CES,
ORG & JPS
Findings of
Second Inter-Laboratory AQC Exercise
March 2001
Inter-laboratory AQC exercise Page i
Table of Contents
Page
1 Background 1
2 Objectives 2
3 Methodology 3
3.1 Standard samples 3
3.2 Reference value 3
3.3 Acceptable range for reported values 4
4 Findings and discussions 5
4.1 Findings of AQC-2 exercise 5
4.2 Comparison of AQC-1 and AQC-2 laboratory performance 20
5 Conclusions and recommendations 22
5.1 Conclusions 22
5.2 Recommendations 22
Annexes
I Composition of standard samples 23
II Communication with the despatch of samples 24
III Estimation of reference value and acceptable range for TDS for samples A and B 27
Inter-laboratory AQC exercise Page 1
1 Background
Analytical Quality Control (AQC) is one of the main components of a Quality Assurance system,
wherein the quality of analytical data being generated in any laboratory is controlled through
minimising or controlling errors to achieve a target accuracy. A particular water quality study or any
organised water quality monitoring programme involves the collection, comparison and interpretation
of analytical data, which lead to a decision for the management and use of the water resource. The
correctness of the decision or action depends largely upon the accuracy of the analytical results. If
the errors of the analytical results are high, the manpower, material and money spent on the
monitoring programme or study become futile and further lead to wrong decision and improper action
plans. Since the success and usefulness of an information system derived from analysis results
depend on the quality of input data, it is essential to ensure that adequate comparability and accuracy
of analytical results are achieved.
The need for analytical quality control (AQC) in HP laboratories was first discussed in the ‘Water
Quality Standardisation Workshop’, held at Hyderabad during 9–10 December 1996. It was
recommended that AQC exercises should be organised for the HP laboratories to achieve a target
accuracy so that the results obtained from different laboratories are comparable. Consequently, the
following actions were taken:
• In May 1997 and March 1998, many HP laboratories participated in ‘within-laboratory’ AQC
exercises organised by HP consultants. The results of the first exercise were discussed in two
technical meetings, held at Bangalore and Bhopal and a report was issued in February 1998.
Results of the second exercise were reported in June 1999.
• Since the ‘within-laboratory’ AQC exercises evaluate only the precision of the laboratory, an
‘inter-laboratory’ AQC exercise was conducted in December 1998 to test the bias of the
laboratories. Twenty-five (25) laboratories participated in this AQC-1 exercise.
• In continuation of the AQC-1 inter-laboratory exercise, the AQC-2 exercise was conducted in
April 2000 for 42 laboratories.
For both of the inter-laboratory AQC exercises, the Central Pollution Control Board (CPCB) laboratory
conducted the programme and did the statistical analysis of the data, under the guidance of Dr. S.D.
Makhijani and Mr. A. Manoharan.
Inter-laboratory AQC exercise Page 2
2 Objectives
The main objectives of an inter-laboratory AQC programme are:
• to assess the status of analytical facilities and capabilities of the concerned laboratories
• to identify the serious constraints (random & systematic) in the working environment of the
laboratories
• to provide necessary assistance to the concerned laboratories to overcome the short-comings
in the analytical capabilities
• to promote the scientific/analytical competence of the concerned laboratories to the level of
excellence for better output
• to enhance the internal and external quality control of the concerned laboratories
Inter-laboratory AQC exercise Page 3
3 Methodology
3.1 Standard samples
The list of parameters covered under the inter-laboratory AQC exercise is given below:
1. Conductivity (COND)
2. Total Dissolved Solids (TDS)
3. Total Hardness (TH)
4. Sodium (Na)
5. Fluoride (F)
6. Sulphate (SO4)
7. Nitrate - N (NO3-N)
8. Phosphate-P (PO4-P)
9. Boron (B)
The above parameters were selected for the exercise because the procedures for their determination
involve various analytical techniques, namely, potentiometric (COND), gravimetric (TDS), titrimetric
(TH), absorption-spectrometric (F, NO3-N, PO4-P, B), nephelometric (SO4) and emission-
spectrometric (Na), and common laboratory operations such as weighing, heating, filtering, etc. These
tests are routinely carried out in the HP laboratories for characterisation of surface and groundwaters.
All HP laboratories are expected to be able to carry out these types of analyses. The capability of a
laboratory to perform these tests satisfactorily would indicate its preparedness to carry out its
assigned HIS functions.
Two synthetic samples, labelled as A & B, were prepared by mixing different volumes of 7 different
solutions made from high quality chemicals and distilled water. The list of solutions and their strengths
and the volumes used for each sample are given in Annexure I.
The samples were distributed to all the 42 participating laboratories by Courier service to avoid any
transport delay. A copy of the instructions for carrying out the analyses is in Annexure II.
3.2 Reference value
The parameter concentrations in each of the samples were determined in three different ways:
• by the recommended analytical procedure in the CPCB laboratory
• from the theoretical considerations, assuming that the solutions were made correctly and the
purity of the chemicals used was as displayed on the bottle labels
• from the combined results of analyses of the participating laboratories
Table 1 compares the concentration of the parameters in the test samples estimated by the three
procedures. It is seen that there is a close agreement among the values calculated by the three
methods. Therefore, the reference mean, calculated from the combined results of analysis of the
participating laboratories, was taken as the reference value.
Inter-laboratory AQC exercise Page 4
Table 1: Determination of reference value for concentration of various parameters
Sample-A Sample-B
S. No. Parameter
Reference
mean
CPCB
analysis
Theoretical
value
Reference
mean
CPCB
analysis
Theoretical
value
1 Conductivity 415 416 --- 257 260 ---
2 TDS 253 250 --- 160 163 ---
3 Total Hardness 80.5 79.0 --- 47.8 48.0 ---
4 Sodium 41.1 42.0 42.0 24.7 24.6 26.7
5 Fluoride 1.74 1.78 1.80 1.41 1.42 1.40
6 Sulphate 38.7 39.0 38.4 19.1 20.0 19.2
7 Nitrate-N 2.58 2.93 3.00 1.82 1.95 2.0
8 Phosphate-P 0.291 0.296 0.300 0.192 0.195 0.2
9 Boron 2.13 2.04 2.00 1.58 1.56 1.5
Note: All the parameters are expressed in mg/l except Conductivity which is expressed in µmho/cm
‘---’ Denotes that theoretical values are not provided
The procedure of estimation of the value of a parameter from the combined analysis results of the
participating laboratories is illustrated for the conductivity measurements of samples A and B in
Annexure III, and is summarised below:
1. The analytical data obtained from the laboratories for each parameter were sorted in increasing
order.
2. The data were scrutinised for removal of visual (abnormal) outliers.
3. Of the remaining values, the mean, X, and the 95 % confidence limits for the mean were
obtained.
4. The values falling within 95 % confidence limits were taken for calculating the Mean and the
Standard Deviation (SDRef) with n-1 degrees of freedom. The Mean is considered as the
"Reference value" (Xref ).
3.3 Acceptable range for reported values
The acceptable limits for various parameters were arrived at using the “Youden 2 sample plot” method
(Youden, 19591
).The acceptable range for reported values is calculated from the results of the
reported values and the reference value, as follows:
The standard deviation (SDRef) value obtained from the filtered data set (step 4 above) was multiplied
by the factor √2 (i.e. 1.414) to convert the 'Within Run Precision' to 'Between Day Precision'. This
was done to account for the fact that the analyses were performed at different times at different
locations. The resulting value is considered to be the 'Adjusted Standard Deviation' (SDadj). The
acceptable range was then calculated as XRef ± 3SDadj. The procedure is illustrated for the TDS
results in Annex III.
A laboratory was considered to quality for the analysis of a parameter if both the reported analyses
results for the two samples A and B were in the acceptable ranges.
1 Youden, W.J., (1959).Graphical diagnosis of inter-laboratory test results, Industr. Qual. Control. Vol 15, no. 11,
p. 24-28.
Inter-laboratory AQC exercise Page 5
4 Findings and discussions
4.1 Findings of AQC-2 exercise
Table 2 gives the reference values and the acceptable ranges for the parameters covered under the
exercise. These were calculated according to the procedure described in Sections 3.2 and 3.3.
Table 2: Reference values and acceptable ranges for results of analyses
Sample-A Sample-B
Parameter Reference
mean
Acceptable
range
Reference
mean
Acceptable
range
Conductivity 415 395-435 257 236-278
TDS 253 228-277 160 144-177
Total Hardness 80.5 76.2-84.8 47.8 40.0-55.6
Sodium 41.1 37.3-44.8 24.7 22.2-27.2
Fluoride 1.74 1.54-1.94 1.41 1.32-1.51
Sulphate 38.7 35.8-41.6 19.1 16.2-22.1
Nitrate-N 2.58 2.2-3.0 1.82 1.3-2.3
Phosphate-P 0.291 0.23-0.36 0.192 0.15-0.24
Boron 2.13 1.76-2.5 1.58 1.08-2.07
Note: All the parameters are expressed in mg/l except Conductivity, which is expressed in µmho/cm
Based on these values, the performance of the laboratories was evaluated. The reported analysis
results for the two samples for each parameter were compared with the respective acceptable ranges.
The findings are summarised in Table 3, and are shown in the Youden 2-sample plots (Figures 1-9).
Figure 11 shows the number of correctly reported parameters per laboratory code.
The following observations can be made regarding the performance of the laboratories:
• Out of the 42 laboratories that participated in the AQC exercise, 36 laboratories have reported
results (i.e. 6 laboratories did not send the results).
• Out of 36 laboratories responding, only 15 laboratories could provide results for all the 9
parameters.
• Out of 36 laboratories responding, the decreasing order of response for various parameters is
as follows: Total Hardness, 100 % (i.e. all 36 laboratories responded for Total Hardness);
Conductivity, 100%; Sodium, 97%; Total Dissolved Solids, 94%; Sulphate, 89%; Fluoride,
86%; Nitrate - N; 83%; Phosphate-P, 58%; Boron, 52% (see Fig. 10).
• It is not clear why there is such low response rate for the parameters like Phosphate-P (58%)
and Boron (52%). It is expected that by this stage all the laboratories under Hydrology Project
should have the necessary instruments, chemicals, and standards for analysis of all the
parameters in the AQC exercise. The analytical procedures have been documented by the HP
consultants in the ‘Guidelines on Standard Analytical Procedures’ and training modules for the
analyses have also been prepared. These documents have all been distributed to the
laboratories. The laboratories which are still unable to make the analyses should contact the HP
consultants for advice and assistance.
• The percentage of laboratories which reported the stated parameter within acceptable limits is
given in Table 4, for both AQC-2 and AQC-1 exercises.
Laboratory Code Cond TDS TH Na F SO4 NO3-N PO4-P B
Total
Reported
Within Limit
401 OK OK X OK OK OK OK OK OK 9 8
402 OK OK X OK X OK X NR NR 7 4
403 OK X X X X X OK X X 9 2
404 OK X OK OK OK OK X NR NR 7 5
405 X OK X X X X X X X 9 1
406 OK X X OK OK X X NR NR 7 3
407 X X X X X X X NR X 8 0
408 OK NR X X X OK OK NR NR 6 3
409 OK OK X OK X X OK OK NR 8 5
410 X NR OK X X OK OK OK OK 8 5
411 X X X X X OK OK NR NR 7 2
412 OK X OK OK OK OK OK NR X 8 6
413 OK X OK OK OK X X X X 9 4
414 OK OK OK OK X OK NR X X 8 5
415 X OK OK X X OK OK OK X 9 5
416 X X X X X OK X OK NR 8 2
417 OK X X OK OK X OK NR NR 7 4
418 X X X X X X NR NR NR 6 0
419 X X OK X X OK OK NR NR 7 3
420 OK X OK OK X OK OK X X 9 5
421 NR NR NR NR NR NR NR NR NR 0 0
422 NR NR NR NR NR NR NR NR NR 0 0
423 OK OK X OK X X X OK OK 9 5
424 NR NR NR NR NR NR NR NR NR 0 0
425 OK OK OK OK OK OK OK OK OK 9 9
426 OK OK X OK OK X OK OK OK 9 7
427 X X X X X X OK X X 9 1
428 NR NR NR NR NR NR NR NR NR 0 0
429 X X X NR NR NR NR NR NR 3 0
Laboratory Code Cond TDS TH Na F SO4 NO3-N PO4-P B
Total
Reported
Within Limit
430 OK OK X OK NR NR NR NR NR 4 3
431 X X OK OK NR NR NR NR NR 4 2
432 OK OK OK X OK X OK OK OK 9 7
433 OK OK OK X OK OK OK OK OK 9 8
434 OK X X X OK OK X OK NR 8 4
435 NR NR NR NR NR NR NR NR NR 0 0
436 OK OK X X X OK OK OK NR 8 5
437 NR NR NR NR NR NR NR NR NR 0 0
438 X X X X NR X X NR NR 6 0
439 X OK X X NR NR NR NR NR 4 1
440 X X OK X X X X X X 9 1
441 X OK X X OK X X X X 9 2
442 X X OK X X X X X X 9 1
Labs reporting 36 34 36 35 31 32 30 21 19 274 128
No. Acceptable 20 15 14 15 12 16 17 12 7
% success of reporting 55.6 44.1 38.9 42.9 38.7 50.0 56.7 57.1 36.8
Ranking (of reporting labs) 3 5 7 6 8 4 2 1 9
OK Within acceptable range
X Not in acceptable range
NR Not reporting
Note: The eligibility of a particular parameter is arrived based on the values found within acceptable range in both samples A & B.
Table 3: Evaluation of AQC analysis results in comparison with the reference values
Inter-laboratory AQC exercise Page 8
Table 4: Percentage of laboratories found within acceptable limits: AQC2 & AQC1
S. No. Parameters % of labs within limit
AQC-2 (April 2000)
% of labs within limit
AQC-1 (Dec. 1998)
1 Phosphate-P 57 38
2 Nitrate-N 57 48
3 Conductivity 56 54
4 Sulphate 50 50
5 TDS 44 43
6 Sodium 43 50
7 Total Hardness 39 52
8 Fluoride 39 32
9 Boron 37 63
Overall performance 46.7 47.2
• The overall performance of the laboratories was below expectation. Only about 50-60 % of the
laboratories could perform routine tests such as conductivity, sulphate, NO3-N and PO4-P. For
other parameters like sodium, Total Dissolved Solids, Total Hardness, fluoride and boron the
laboratory performance was even lower (< 50 % in performance). The overall performance of all
the parameters was found as 46.7 %.
• Out of the 36 laboratories that reported, only one laboratory could analyse all 9 parameters within
acceptable limits. At the other extreme, 5 laboratories identified only 1 parameter correctly, while
4 laboratories did not qualify for even a single parameter.
• Several laboratories have reported values for Nitrate which are ~5 times higher than the reference
value. It may be that these laboratories are calculating and/or reporting their results as
NO3 (mg/L) instead of NO3-N (mgN/L), as requested.
As a conversion: NO3 (mg/L) x .226 = NO3-N (mgN/L), where 0.226 = 14/62.
An overall view of the performance of laboratories for each parameter can be obtained from Youden
2-sample plots. Figures 1 to 9 give the plots for the 9 parameters covered under this exercise. For
each parameter, the plot shows the value for Sample A against that for sample B reported by a
laboratory. Thus, there is one data point for each laboratory. The plots include all reported values,
including those removed in the data analysis as outliers.
The acceptable limits for the two samples are also drawn on the plot as two parallel horizontal lines
for the samples values plotted on the Y-axis, and two parallel vertical lines for the sample values
plotted on the X-axis.
The centre of the rectangular block created by the two sets of parallel lines is the reference value for
the parameter. Results close to this point are considered to represent a high degree of accuracy.
The figure can be divided into 4 quandrants by drawing a vertical and a horizontal line through the
reference value. If only random error influence the determinations, the points would be expected to be
randomly distributed in all the four quadrants. This is rarely seen. The points tend to concentrate in
the first (++) or the third (-- ) quandrant, indicating that the laboratories tend to get either high values
or low values, for both samples. This points to the dominant role of systematic error. If a point lies on
a line of unit slope passing through the reference value, then the determination has only systematic
error.
Though the identity of laboratories is not revealed in the plots, each laboratory can easily recognise its
own result. It would be benefiting here to identify the Geochemical laboratory, PWD Trichi, Tamil
Nadu (formerly Thanjavur), the only laboratory which reported correct values for all the nine
parameters in both the ‘inter-laboratory AQC’ exercises.
Figure 1: Performance of laboratories for conductivity – Youden 2-sample plot
Figure 2: Performance of laboratories for Total Dissolved Solids– Youden 2-sample plot
Figure 3: Performance of laboratories for Total Hardness – Youden 2-sample plot
Figure 4: Performance of laboratories for Sodium – Youden 2-sample plot
Figure 5: Performance of laboratories for Fluoride – Youden 2-sample plot
Figure 6: Performance of laboratories for Sulphate – Youden 2-sample plot
Figure 7: Performance of laboratories for Nitrate – Youden 2-sample plot
Figure 8: Performance of laboratories for Phosphate – Youden 2-sample plot
Figure 9: Performance of laboratories for Boron – Youden 2-sample plot
Figure 10: Comparison between AQC-1 and AQC-2 regarding % of laboratories analysing
1 0 0
9 6 9 6
8 4
8 8 8 8
8 4
5 2
3 2
8 0
1 0 0 1 0 0
9 7
9 4
8 9
8 6
8 3
5 8
5 3
8 4
0
10
20
30
40
50
60
70
80
90
10 0
T .H . C o nd . N a T D S S O 4 F N O 3 -N P O 4-P B O v erall
P a ra m e te rs
%oflaboratoriesanalysingparameters
1st R oun d (D ec.199 8) 2n d R o un d (A pril, 20 00)
Figure 11: Number of parameters within limit for each laboratory
Note: Lab code ‘1’ = 401, ‘2’ = 402, etc.
8
4
2
5
1
3
0
3
5 5
2
6
4
5 5
2
4
0
3
5 5
9
7
1
0
3
2
7
8
4
5
0
1 1
2
1
0
1
2
3
4
5
6
7
8
9
10
1
3
5
7
9
11
13
15
17
19
21
23
25
27
29
31
33
35
37
39
41
Laboratory Code
No.ofparameterswithinlimit
2nd Round (April,2000)
Inter-laboratory AQC exercise Page 20
4.2 Comparison of AQC-1 and AQC-2 laboratory performance
A comparative analysis on the performance between the 1st
and the 2nd
round of inter-laboratory AQC
exercises has been made and the findings are summarised below:
• The number of laboratories that participated in AQC-2 (April 2000) increased to 42 as compared
to 25 that participated in AQC-1 (December 1998). However, 6 laboratories participating in
AQC-2 did not send in any result.
• The response, in terms of percent of laboratories reporting various parameters was somewhat
better for AQC-2 than AQC-1. The response for the parameters, Total Hardness, Conductivity,
Sodium, Sulphate, fluoride, TDS and Nitrate-N were almost similar in both exercises with more
than 80% response. For Phosphate-P and Boron, the response in the AQC-2 was only 58% and
53% respectively, but this was higher than AQC-1 (see Figure 10).
• There was no improvement in laboratory performance, measured as percent laboratories within
limits, between the first and the second AQC exercise (see Figure 12).
Figure 12: Percentage of laboratories reporting with in acceptable limits
52
54
50
43
50
32
48
38
63
47
39
56
43
44
50
39
57 57
37
47
0
10
20
30
40
50
60
70
T.H Cond. Na TDS SO4 F NO3-N PO4-P B Overall
Parameters
%ofparticipatinglabswithinlimits 1st Round (Dec.,1998) 2nd Round (April,2000)
Inter-laboratory AQC exercise Page 22
5 Conclusions and recommendations
5.1 Conclusions
• The overall performance of the 42 laboratories participating in the AQC-2 exercise was poor,
with only 46.7% of reported parameters being within the acceptable range. Only one laboratory
could analyse all 9 parameters within acceptable limits. At the other extreme, 5 laboratories
identified only 1 parameter correctly, while 4 laboratories did not qualify for even a single
parameter.
• The overall performance of the AQC-2 exercise reveals that many laboratories could not report
correct results for many commonly measured water quality parameters. Specifically, many
laboratories had difficulty in correctly analysing sodium, Total Dissolved Solids, Total Hardness,
fluoride and boron (<45% of laboratories reporting the result were within acceptable range).
• There was fairly low response in the analysis of some parameters, especially phosphate and
boron (50 – 60%). The reasons for this are not clear, since all laboratories should have the
necessary analytical equipment and chemicals, and have received the ‘Guidelines on Standard
Analytical Procedures’ (HP, 1999).
• Some of the errors in the reported nitrate concentrations may be caused by laboratories
reporting results as NO3 (mg/L) instead of NO3-N (mgN/L), as requested.
• The results of AQC-2 exercise did not show an improvement compared to results of AQC-1
(held in December 1998), which had 47.2% performance.
• There is a need for laboratories to improve the quality of their analytical procedures so that
meaningful data are generated in the laboratories.
5.2 Recommendations
• Since overall performance in AQC-2 has not shown improvement compared to the AQC-1, it is
essential to identify the problems affecting each laboratory individually and strategies are to be
evolved for improvement. Laboratories which have not qualified for a parameter should give
much attention for rectifying problems associated with the concerned parameter and should
discuss issues with the HP consultants where there are uncertainties.
• Internal AQC system with Shewart charts is to be introduced in all the laboratories on a regular
basis, if not already introduced. Procedures for Quality Assurance and ‘Within-laboratory’ AQC
are given in the Water Quality Training Module number 49.
• In many cases, improvement in performance of laboratories can be brought about by selection
of better grade chemicals, glassware, and distilled water. Analytical grade reagents (e.g. AR,
Analar, or GR) should be used for preparing all primary standards. All the laboratories should
have good distilled water generation facility to have better quality and sufficient quantity of
distilled water supply.
• All laboratories should follow standard uniform analytical methods which are described in
‘Guidelines for Standard Analytical Procedures’ (HP, 1999) which is available at all the
laboratories. This will prevent unnecessary errors which may be caused in the calculation or
reporting of results, as is suspected for some of the reported errors in case of nitrate.
• It is utmost necessary to calibrate and standardise the instruments periodically to generate
good analytical results. Different instruments have different requirements.
• It is suggested to have continuous and regular participation of AQC exercise for the
participating laboratories in order to improve the analytical ability.
Inter-laboratory AQC exercise Page 23
Annex I
Composition of standard samples
CENTRAL POLLUTION COTNROL BOARD-DELHI-32
LABORATORY DIVISION-WATER LABORATORY
ANALYTICAL QUALITY CONTROL, (AQC/WATER) EXERCISE – APRIL, 2000
FOR THE
LABORATORIES OF SURFACE AND GROUND WATER DEPARTMENTS
OF
CENTRAL AND STATE GOVERNMENT UNDER
“HYDROLOGY PROJECT”
INGREDIENT OF SOLUTION, Hydrology Project, April, 2000
S.No. Name of chemical Weight in
gm.
Final
volume
Concentration
1 MAGNESIUM SULPHATE
(MgSO4.7H2O)
16.400 2 litres 800 ppm Mg
3200 ppm SO4
2 CALCIUM CHLORIDE (CaCl2.2H2O) 14.700 2 litres 2000 ppm Ca
3500 ppm Cl
3 SODIUM FLUORIDE (NaF) 2.210 1 litre 1000 ppm F
4 POTASSIUM NITRATE (KNO3) 7.214 1 litre 1000 ppm NO3-N
5 BORIC ACID (H3BO3) 5.716 1 litre 1000 ppm Boron
6 SODIUM CHLORIDE (NaCl) 12.717 1 litre 5000 ppm Na
7
POTASSIUM DIHYDROGEN
PHOSPHATE (KH2PO4)
0.439 1 litre 100 ppm PO4-P
PREPARATION OF SAMPLE – A
600 ml MgSO4.7H2O + 375 ml CaCl2.2H2O + 90 ml NaF + 150 ml KNO3 + 100 ml
H3BO3 + 150 ml KH2PO4 + 400 ml NaCl ---------------> Final Vol. 50 ltrs.
PREPARATION OF SAMPLE – B
300 ml MgSO4.7H2O + 250 ml CaCl2.2H2O + 70 ml NaF + 100 ml KNO3 + 75 ml
H3BO3 + 100 ml KH2PO4 +250 ml NaCl ---------------> Final Vol. 50 ltrs.
Inter-laboratory AQC exercise Page 24
Annex II
Communication with the despatch of samples
CENTRAL POLLUTION CONTROL BOARD-DELHI 32
LABORATORY DIVISION – WATER LABORATORY
ANALYTICAL QUALITY CONTOL, (AQC/WATER) EXERCISE – April 2000
FOR THE
LABORATORIES OF SURFACE AND GROUND WATER DEPARTMENTS
OF
CENTRAL AND STATE GOVERNMENT UNDER
“HYDROLOGY PROJECT”
GENERAL INSTRUCTIONS
Note: Please read the following instructions carefully before starting analysis of samples
Two nos. of synthetic water samples (A & B) of one lit. each labelled with lab code are
provided for analysing Conductivity, Total solids, Total Hardness, Sodium, Fluoride, Sulphate,
Nitrate-N, Phosphate-P and Boron.
Both labelled liquid samples (A & B) are to be analysed separately for all 9 parameters as
shown below.
S.No. Parameter Unit
01 Conductivity at 25°C µ mhos/cm
02 Total Solids mg/I
03 Total hardness as CaCO3 mg/I
04 Sodium mg/I
05 Fluoride as F mg/I
06 Sulphate as SO4 mg/I
07 Nitrate – N mg/I
08 Phosphate – P mg/I
09 Boron mg/I
Note: Choose appropriate sample volume for each parameter for single run so that analysis
can be done within the provided sample volume.
ANALYTICAL METHODS:
1. You may choose any relevant method being followed in your laboratory for various
parameters. However, the method is to be mentioned into the data format.
2. In case of colourometeric method the standard graph and the factor used for
calculation for ample analysis is to be submitted along with the data sheet.
3. Brief outline of the procedures for each analytical parameter is to be provided as
annexure along with the data sheets.
Please note the following points:
All the samples are to be analysed most preferably during 24th
April to 5th
May 2000
for better comparison purpose of data obtained from various laboratories.
Report the analysis result in the enclosed Data format sheet only. Kindly avoid using
separate typed data sheet.
Inter-laboratory AQC exercise Page 25
Be sure that Lab code & sample code numbers are mentioned in the Data format
sheet while sending the report.
Be sure that all the units of various parameters are properly taken care while
reporting data.
Analysis report should be sent directly to the following address positively latest by
15th
May 2000, without fail.
Dr. S.D. Makhijani
Additional Director (Labs)
Central Pollution Control Board
‘Parivesh Bhawan’
East Arjun Nagar
NEW DELHI – 110 052
Fax No. (011) 222 0844
Inter-laboratory AQC exercise Page 26
Annex II a
CENTRAL POLLUATION CONTROL BOARD, DELHI-32
LABORATORY DIVISION – WATER LABORATORY
II AQC/WATER APRIL, 2000 LAB CODE
II ANALYTICAL QUALITY CONTROL (AQC/WATER) EXERCISE – APRIL, 2000
FOR THE SURFACE & GROUND WATER LABORATRIES OF CENTRAL AND STATE
DEPARTMENTS UNDER “HYDROLOGY PROJECT”
01 Name of the organisation
02 Address of the laboratory with
PIN code, phone and fax
PIN …………………
Phone …………….. Fax ………………..
03 Sample analysed by:
(Name & Designation)
1 ………………….. 2 ……………………
3 ………………….. 4 ……………………
04 Date of receipt of sample
RESULTS
Sample CodeS.
No.
Parameter
A B
Method
Adopted
Instrument
used
Calibration
Graph
attached
(yes/no)@
Date of
analysis
01 Conductivity at 25o
C
(µmhos/cm)
02 Total Dissolved
Solids (mg/l)
03 Total Hardness
(mg/l)
04 Sodium (mg/l)
05 Fluoride (mg/l)
06 Sulphate (mg/l)
07 Nitrate-N (mg/l)
08 Phosphate-P (mg/l)
09 Boron (mg/l)
@ a copy of the standard Calibration graph, where ever applicable, is to be attached in Annexure.
Dated Signature of Lab Incharge
Inter-laboratory AQC exercise Page 27
Annex III
Estimation of reference value and acceptable range for TDS for samples A and B
TDS_A TDS_B
All Data - Outliers 95%_CI All Data - Outliers 95%_CI
40 30
205 205 115
215 215 120
224 224 125 125
225 225 130 130
225 225 136 136
225 225 137.64 137.64
227.53 227.53 138 138
230 230 142 142
230 230 145 145
237 237 147 147
237 237 150 150
240 240 152 152
240 240 154 154 154
246 246 246 157 157 157
248 248 248 158.72 158.72 158.72
248 248 248 160 160 160
248 248 248 160 160 160
254 254 254 160 160 160
257 257 257 165 165 165
260 260 260 166 166 166
260 260 260 168 168
264 264 169 169
266 266 169 169
273 273 170 170
273 273 170 170
276.2 276.2 173.5 173.5
282 282 178 178
286 286 187.5 187.5
288 288 190 190
295 295 191 191
295 295 194 194
300 300 235
246
No. values (N) 33 32 34 29
Minimum 40 205 30 125
Maximum 300 300 246 194
Mean, X
Ref. Mean, XREF
246.1 252.5
252.63
158.5 160.1
160.09
Std Dev (SD) 44.7 25.6 5.83 36.0 18.3 3.92
X – 1.96 SD/√N 243.64 153.45
X + 1.96 SD/√N 261.35 166.78
SDREF 5.83 3.92
SDADJ = √2SDREF 8.24 5.54
Lower limit = XREF - 3 SDADJ 227.9 143.5
Upper limit = XREF + 3 SDADJ 277.4 176.7

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Download-manuals-water quality-technicalpapers-inter-labfindingsaqci-indround

  • 1. Government of India & Government of The Netherlands DHV CONSULTANTS & DELFT HYDRAULICS with HALCROW, TAHAL, CES, ORG & JPS Findings of Second Inter-Laboratory AQC Exercise March 2001
  • 2. Inter-laboratory AQC exercise Page i Table of Contents Page 1 Background 1 2 Objectives 2 3 Methodology 3 3.1 Standard samples 3 3.2 Reference value 3 3.3 Acceptable range for reported values 4 4 Findings and discussions 5 4.1 Findings of AQC-2 exercise 5 4.2 Comparison of AQC-1 and AQC-2 laboratory performance 20 5 Conclusions and recommendations 22 5.1 Conclusions 22 5.2 Recommendations 22 Annexes I Composition of standard samples 23 II Communication with the despatch of samples 24 III Estimation of reference value and acceptable range for TDS for samples A and B 27
  • 3. Inter-laboratory AQC exercise Page 1 1 Background Analytical Quality Control (AQC) is one of the main components of a Quality Assurance system, wherein the quality of analytical data being generated in any laboratory is controlled through minimising or controlling errors to achieve a target accuracy. A particular water quality study or any organised water quality monitoring programme involves the collection, comparison and interpretation of analytical data, which lead to a decision for the management and use of the water resource. The correctness of the decision or action depends largely upon the accuracy of the analytical results. If the errors of the analytical results are high, the manpower, material and money spent on the monitoring programme or study become futile and further lead to wrong decision and improper action plans. Since the success and usefulness of an information system derived from analysis results depend on the quality of input data, it is essential to ensure that adequate comparability and accuracy of analytical results are achieved. The need for analytical quality control (AQC) in HP laboratories was first discussed in the ‘Water Quality Standardisation Workshop’, held at Hyderabad during 9–10 December 1996. It was recommended that AQC exercises should be organised for the HP laboratories to achieve a target accuracy so that the results obtained from different laboratories are comparable. Consequently, the following actions were taken: • In May 1997 and March 1998, many HP laboratories participated in ‘within-laboratory’ AQC exercises organised by HP consultants. The results of the first exercise were discussed in two technical meetings, held at Bangalore and Bhopal and a report was issued in February 1998. Results of the second exercise were reported in June 1999. • Since the ‘within-laboratory’ AQC exercises evaluate only the precision of the laboratory, an ‘inter-laboratory’ AQC exercise was conducted in December 1998 to test the bias of the laboratories. Twenty-five (25) laboratories participated in this AQC-1 exercise. • In continuation of the AQC-1 inter-laboratory exercise, the AQC-2 exercise was conducted in April 2000 for 42 laboratories. For both of the inter-laboratory AQC exercises, the Central Pollution Control Board (CPCB) laboratory conducted the programme and did the statistical analysis of the data, under the guidance of Dr. S.D. Makhijani and Mr. A. Manoharan.
  • 4. Inter-laboratory AQC exercise Page 2 2 Objectives The main objectives of an inter-laboratory AQC programme are: • to assess the status of analytical facilities and capabilities of the concerned laboratories • to identify the serious constraints (random & systematic) in the working environment of the laboratories • to provide necessary assistance to the concerned laboratories to overcome the short-comings in the analytical capabilities • to promote the scientific/analytical competence of the concerned laboratories to the level of excellence for better output • to enhance the internal and external quality control of the concerned laboratories
  • 5. Inter-laboratory AQC exercise Page 3 3 Methodology 3.1 Standard samples The list of parameters covered under the inter-laboratory AQC exercise is given below: 1. Conductivity (COND) 2. Total Dissolved Solids (TDS) 3. Total Hardness (TH) 4. Sodium (Na) 5. Fluoride (F) 6. Sulphate (SO4) 7. Nitrate - N (NO3-N) 8. Phosphate-P (PO4-P) 9. Boron (B) The above parameters were selected for the exercise because the procedures for their determination involve various analytical techniques, namely, potentiometric (COND), gravimetric (TDS), titrimetric (TH), absorption-spectrometric (F, NO3-N, PO4-P, B), nephelometric (SO4) and emission- spectrometric (Na), and common laboratory operations such as weighing, heating, filtering, etc. These tests are routinely carried out in the HP laboratories for characterisation of surface and groundwaters. All HP laboratories are expected to be able to carry out these types of analyses. The capability of a laboratory to perform these tests satisfactorily would indicate its preparedness to carry out its assigned HIS functions. Two synthetic samples, labelled as A & B, were prepared by mixing different volumes of 7 different solutions made from high quality chemicals and distilled water. The list of solutions and their strengths and the volumes used for each sample are given in Annexure I. The samples were distributed to all the 42 participating laboratories by Courier service to avoid any transport delay. A copy of the instructions for carrying out the analyses is in Annexure II. 3.2 Reference value The parameter concentrations in each of the samples were determined in three different ways: • by the recommended analytical procedure in the CPCB laboratory • from the theoretical considerations, assuming that the solutions were made correctly and the purity of the chemicals used was as displayed on the bottle labels • from the combined results of analyses of the participating laboratories Table 1 compares the concentration of the parameters in the test samples estimated by the three procedures. It is seen that there is a close agreement among the values calculated by the three methods. Therefore, the reference mean, calculated from the combined results of analysis of the participating laboratories, was taken as the reference value.
  • 6. Inter-laboratory AQC exercise Page 4 Table 1: Determination of reference value for concentration of various parameters Sample-A Sample-B S. No. Parameter Reference mean CPCB analysis Theoretical value Reference mean CPCB analysis Theoretical value 1 Conductivity 415 416 --- 257 260 --- 2 TDS 253 250 --- 160 163 --- 3 Total Hardness 80.5 79.0 --- 47.8 48.0 --- 4 Sodium 41.1 42.0 42.0 24.7 24.6 26.7 5 Fluoride 1.74 1.78 1.80 1.41 1.42 1.40 6 Sulphate 38.7 39.0 38.4 19.1 20.0 19.2 7 Nitrate-N 2.58 2.93 3.00 1.82 1.95 2.0 8 Phosphate-P 0.291 0.296 0.300 0.192 0.195 0.2 9 Boron 2.13 2.04 2.00 1.58 1.56 1.5 Note: All the parameters are expressed in mg/l except Conductivity which is expressed in µmho/cm ‘---’ Denotes that theoretical values are not provided The procedure of estimation of the value of a parameter from the combined analysis results of the participating laboratories is illustrated for the conductivity measurements of samples A and B in Annexure III, and is summarised below: 1. The analytical data obtained from the laboratories for each parameter were sorted in increasing order. 2. The data were scrutinised for removal of visual (abnormal) outliers. 3. Of the remaining values, the mean, X, and the 95 % confidence limits for the mean were obtained. 4. The values falling within 95 % confidence limits were taken for calculating the Mean and the Standard Deviation (SDRef) with n-1 degrees of freedom. The Mean is considered as the "Reference value" (Xref ). 3.3 Acceptable range for reported values The acceptable limits for various parameters were arrived at using the “Youden 2 sample plot” method (Youden, 19591 ).The acceptable range for reported values is calculated from the results of the reported values and the reference value, as follows: The standard deviation (SDRef) value obtained from the filtered data set (step 4 above) was multiplied by the factor √2 (i.e. 1.414) to convert the 'Within Run Precision' to 'Between Day Precision'. This was done to account for the fact that the analyses were performed at different times at different locations. The resulting value is considered to be the 'Adjusted Standard Deviation' (SDadj). The acceptable range was then calculated as XRef ± 3SDadj. The procedure is illustrated for the TDS results in Annex III. A laboratory was considered to quality for the analysis of a parameter if both the reported analyses results for the two samples A and B were in the acceptable ranges. 1 Youden, W.J., (1959).Graphical diagnosis of inter-laboratory test results, Industr. Qual. Control. Vol 15, no. 11, p. 24-28.
  • 7. Inter-laboratory AQC exercise Page 5 4 Findings and discussions 4.1 Findings of AQC-2 exercise Table 2 gives the reference values and the acceptable ranges for the parameters covered under the exercise. These were calculated according to the procedure described in Sections 3.2 and 3.3. Table 2: Reference values and acceptable ranges for results of analyses Sample-A Sample-B Parameter Reference mean Acceptable range Reference mean Acceptable range Conductivity 415 395-435 257 236-278 TDS 253 228-277 160 144-177 Total Hardness 80.5 76.2-84.8 47.8 40.0-55.6 Sodium 41.1 37.3-44.8 24.7 22.2-27.2 Fluoride 1.74 1.54-1.94 1.41 1.32-1.51 Sulphate 38.7 35.8-41.6 19.1 16.2-22.1 Nitrate-N 2.58 2.2-3.0 1.82 1.3-2.3 Phosphate-P 0.291 0.23-0.36 0.192 0.15-0.24 Boron 2.13 1.76-2.5 1.58 1.08-2.07 Note: All the parameters are expressed in mg/l except Conductivity, which is expressed in µmho/cm Based on these values, the performance of the laboratories was evaluated. The reported analysis results for the two samples for each parameter were compared with the respective acceptable ranges. The findings are summarised in Table 3, and are shown in the Youden 2-sample plots (Figures 1-9). Figure 11 shows the number of correctly reported parameters per laboratory code. The following observations can be made regarding the performance of the laboratories: • Out of the 42 laboratories that participated in the AQC exercise, 36 laboratories have reported results (i.e. 6 laboratories did not send the results). • Out of 36 laboratories responding, only 15 laboratories could provide results for all the 9 parameters. • Out of 36 laboratories responding, the decreasing order of response for various parameters is as follows: Total Hardness, 100 % (i.e. all 36 laboratories responded for Total Hardness); Conductivity, 100%; Sodium, 97%; Total Dissolved Solids, 94%; Sulphate, 89%; Fluoride, 86%; Nitrate - N; 83%; Phosphate-P, 58%; Boron, 52% (see Fig. 10). • It is not clear why there is such low response rate for the parameters like Phosphate-P (58%) and Boron (52%). It is expected that by this stage all the laboratories under Hydrology Project should have the necessary instruments, chemicals, and standards for analysis of all the parameters in the AQC exercise. The analytical procedures have been documented by the HP consultants in the ‘Guidelines on Standard Analytical Procedures’ and training modules for the analyses have also been prepared. These documents have all been distributed to the laboratories. The laboratories which are still unable to make the analyses should contact the HP consultants for advice and assistance. • The percentage of laboratories which reported the stated parameter within acceptable limits is given in Table 4, for both AQC-2 and AQC-1 exercises.
  • 8. Laboratory Code Cond TDS TH Na F SO4 NO3-N PO4-P B Total Reported Within Limit 401 OK OK X OK OK OK OK OK OK 9 8 402 OK OK X OK X OK X NR NR 7 4 403 OK X X X X X OK X X 9 2 404 OK X OK OK OK OK X NR NR 7 5 405 X OK X X X X X X X 9 1 406 OK X X OK OK X X NR NR 7 3 407 X X X X X X X NR X 8 0 408 OK NR X X X OK OK NR NR 6 3 409 OK OK X OK X X OK OK NR 8 5 410 X NR OK X X OK OK OK OK 8 5 411 X X X X X OK OK NR NR 7 2 412 OK X OK OK OK OK OK NR X 8 6 413 OK X OK OK OK X X X X 9 4 414 OK OK OK OK X OK NR X X 8 5 415 X OK OK X X OK OK OK X 9 5 416 X X X X X OK X OK NR 8 2 417 OK X X OK OK X OK NR NR 7 4 418 X X X X X X NR NR NR 6 0 419 X X OK X X OK OK NR NR 7 3 420 OK X OK OK X OK OK X X 9 5 421 NR NR NR NR NR NR NR NR NR 0 0 422 NR NR NR NR NR NR NR NR NR 0 0 423 OK OK X OK X X X OK OK 9 5 424 NR NR NR NR NR NR NR NR NR 0 0 425 OK OK OK OK OK OK OK OK OK 9 9 426 OK OK X OK OK X OK OK OK 9 7 427 X X X X X X OK X X 9 1 428 NR NR NR NR NR NR NR NR NR 0 0 429 X X X NR NR NR NR NR NR 3 0
  • 9. Laboratory Code Cond TDS TH Na F SO4 NO3-N PO4-P B Total Reported Within Limit 430 OK OK X OK NR NR NR NR NR 4 3 431 X X OK OK NR NR NR NR NR 4 2 432 OK OK OK X OK X OK OK OK 9 7 433 OK OK OK X OK OK OK OK OK 9 8 434 OK X X X OK OK X OK NR 8 4 435 NR NR NR NR NR NR NR NR NR 0 0 436 OK OK X X X OK OK OK NR 8 5 437 NR NR NR NR NR NR NR NR NR 0 0 438 X X X X NR X X NR NR 6 0 439 X OK X X NR NR NR NR NR 4 1 440 X X OK X X X X X X 9 1 441 X OK X X OK X X X X 9 2 442 X X OK X X X X X X 9 1 Labs reporting 36 34 36 35 31 32 30 21 19 274 128 No. Acceptable 20 15 14 15 12 16 17 12 7 % success of reporting 55.6 44.1 38.9 42.9 38.7 50.0 56.7 57.1 36.8 Ranking (of reporting labs) 3 5 7 6 8 4 2 1 9 OK Within acceptable range X Not in acceptable range NR Not reporting Note: The eligibility of a particular parameter is arrived based on the values found within acceptable range in both samples A & B. Table 3: Evaluation of AQC analysis results in comparison with the reference values
  • 10. Inter-laboratory AQC exercise Page 8 Table 4: Percentage of laboratories found within acceptable limits: AQC2 & AQC1 S. No. Parameters % of labs within limit AQC-2 (April 2000) % of labs within limit AQC-1 (Dec. 1998) 1 Phosphate-P 57 38 2 Nitrate-N 57 48 3 Conductivity 56 54 4 Sulphate 50 50 5 TDS 44 43 6 Sodium 43 50 7 Total Hardness 39 52 8 Fluoride 39 32 9 Boron 37 63 Overall performance 46.7 47.2 • The overall performance of the laboratories was below expectation. Only about 50-60 % of the laboratories could perform routine tests such as conductivity, sulphate, NO3-N and PO4-P. For other parameters like sodium, Total Dissolved Solids, Total Hardness, fluoride and boron the laboratory performance was even lower (< 50 % in performance). The overall performance of all the parameters was found as 46.7 %. • Out of the 36 laboratories that reported, only one laboratory could analyse all 9 parameters within acceptable limits. At the other extreme, 5 laboratories identified only 1 parameter correctly, while 4 laboratories did not qualify for even a single parameter. • Several laboratories have reported values for Nitrate which are ~5 times higher than the reference value. It may be that these laboratories are calculating and/or reporting their results as NO3 (mg/L) instead of NO3-N (mgN/L), as requested. As a conversion: NO3 (mg/L) x .226 = NO3-N (mgN/L), where 0.226 = 14/62. An overall view of the performance of laboratories for each parameter can be obtained from Youden 2-sample plots. Figures 1 to 9 give the plots for the 9 parameters covered under this exercise. For each parameter, the plot shows the value for Sample A against that for sample B reported by a laboratory. Thus, there is one data point for each laboratory. The plots include all reported values, including those removed in the data analysis as outliers. The acceptable limits for the two samples are also drawn on the plot as two parallel horizontal lines for the samples values plotted on the Y-axis, and two parallel vertical lines for the sample values plotted on the X-axis. The centre of the rectangular block created by the two sets of parallel lines is the reference value for the parameter. Results close to this point are considered to represent a high degree of accuracy. The figure can be divided into 4 quandrants by drawing a vertical and a horizontal line through the reference value. If only random error influence the determinations, the points would be expected to be randomly distributed in all the four quadrants. This is rarely seen. The points tend to concentrate in the first (++) or the third (-- ) quandrant, indicating that the laboratories tend to get either high values or low values, for both samples. This points to the dominant role of systematic error. If a point lies on a line of unit slope passing through the reference value, then the determination has only systematic error. Though the identity of laboratories is not revealed in the plots, each laboratory can easily recognise its own result. It would be benefiting here to identify the Geochemical laboratory, PWD Trichi, Tamil Nadu (formerly Thanjavur), the only laboratory which reported correct values for all the nine parameters in both the ‘inter-laboratory AQC’ exercises.
  • 11. Figure 1: Performance of laboratories for conductivity – Youden 2-sample plot
  • 12. Figure 2: Performance of laboratories for Total Dissolved Solids– Youden 2-sample plot
  • 13. Figure 3: Performance of laboratories for Total Hardness – Youden 2-sample plot
  • 14. Figure 4: Performance of laboratories for Sodium – Youden 2-sample plot
  • 15. Figure 5: Performance of laboratories for Fluoride – Youden 2-sample plot
  • 16. Figure 6: Performance of laboratories for Sulphate – Youden 2-sample plot
  • 17. Figure 7: Performance of laboratories for Nitrate – Youden 2-sample plot
  • 18. Figure 8: Performance of laboratories for Phosphate – Youden 2-sample plot
  • 19. Figure 9: Performance of laboratories for Boron – Youden 2-sample plot
  • 20. Figure 10: Comparison between AQC-1 and AQC-2 regarding % of laboratories analysing 1 0 0 9 6 9 6 8 4 8 8 8 8 8 4 5 2 3 2 8 0 1 0 0 1 0 0 9 7 9 4 8 9 8 6 8 3 5 8 5 3 8 4 0 10 20 30 40 50 60 70 80 90 10 0 T .H . C o nd . N a T D S S O 4 F N O 3 -N P O 4-P B O v erall P a ra m e te rs %oflaboratoriesanalysingparameters 1st R oun d (D ec.199 8) 2n d R o un d (A pril, 20 00)
  • 21. Figure 11: Number of parameters within limit for each laboratory Note: Lab code ‘1’ = 401, ‘2’ = 402, etc. 8 4 2 5 1 3 0 3 5 5 2 6 4 5 5 2 4 0 3 5 5 9 7 1 0 3 2 7 8 4 5 0 1 1 2 1 0 1 2 3 4 5 6 7 8 9 10 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 Laboratory Code No.ofparameterswithinlimit 2nd Round (April,2000)
  • 22. Inter-laboratory AQC exercise Page 20 4.2 Comparison of AQC-1 and AQC-2 laboratory performance A comparative analysis on the performance between the 1st and the 2nd round of inter-laboratory AQC exercises has been made and the findings are summarised below: • The number of laboratories that participated in AQC-2 (April 2000) increased to 42 as compared to 25 that participated in AQC-1 (December 1998). However, 6 laboratories participating in AQC-2 did not send in any result. • The response, in terms of percent of laboratories reporting various parameters was somewhat better for AQC-2 than AQC-1. The response for the parameters, Total Hardness, Conductivity, Sodium, Sulphate, fluoride, TDS and Nitrate-N were almost similar in both exercises with more than 80% response. For Phosphate-P and Boron, the response in the AQC-2 was only 58% and 53% respectively, but this was higher than AQC-1 (see Figure 10). • There was no improvement in laboratory performance, measured as percent laboratories within limits, between the first and the second AQC exercise (see Figure 12).
  • 23. Figure 12: Percentage of laboratories reporting with in acceptable limits 52 54 50 43 50 32 48 38 63 47 39 56 43 44 50 39 57 57 37 47 0 10 20 30 40 50 60 70 T.H Cond. Na TDS SO4 F NO3-N PO4-P B Overall Parameters %ofparticipatinglabswithinlimits 1st Round (Dec.,1998) 2nd Round (April,2000)
  • 24. Inter-laboratory AQC exercise Page 22 5 Conclusions and recommendations 5.1 Conclusions • The overall performance of the 42 laboratories participating in the AQC-2 exercise was poor, with only 46.7% of reported parameters being within the acceptable range. Only one laboratory could analyse all 9 parameters within acceptable limits. At the other extreme, 5 laboratories identified only 1 parameter correctly, while 4 laboratories did not qualify for even a single parameter. • The overall performance of the AQC-2 exercise reveals that many laboratories could not report correct results for many commonly measured water quality parameters. Specifically, many laboratories had difficulty in correctly analysing sodium, Total Dissolved Solids, Total Hardness, fluoride and boron (<45% of laboratories reporting the result were within acceptable range). • There was fairly low response in the analysis of some parameters, especially phosphate and boron (50 – 60%). The reasons for this are not clear, since all laboratories should have the necessary analytical equipment and chemicals, and have received the ‘Guidelines on Standard Analytical Procedures’ (HP, 1999). • Some of the errors in the reported nitrate concentrations may be caused by laboratories reporting results as NO3 (mg/L) instead of NO3-N (mgN/L), as requested. • The results of AQC-2 exercise did not show an improvement compared to results of AQC-1 (held in December 1998), which had 47.2% performance. • There is a need for laboratories to improve the quality of their analytical procedures so that meaningful data are generated in the laboratories. 5.2 Recommendations • Since overall performance in AQC-2 has not shown improvement compared to the AQC-1, it is essential to identify the problems affecting each laboratory individually and strategies are to be evolved for improvement. Laboratories which have not qualified for a parameter should give much attention for rectifying problems associated with the concerned parameter and should discuss issues with the HP consultants where there are uncertainties. • Internal AQC system with Shewart charts is to be introduced in all the laboratories on a regular basis, if not already introduced. Procedures for Quality Assurance and ‘Within-laboratory’ AQC are given in the Water Quality Training Module number 49. • In many cases, improvement in performance of laboratories can be brought about by selection of better grade chemicals, glassware, and distilled water. Analytical grade reagents (e.g. AR, Analar, or GR) should be used for preparing all primary standards. All the laboratories should have good distilled water generation facility to have better quality and sufficient quantity of distilled water supply. • All laboratories should follow standard uniform analytical methods which are described in ‘Guidelines for Standard Analytical Procedures’ (HP, 1999) which is available at all the laboratories. This will prevent unnecessary errors which may be caused in the calculation or reporting of results, as is suspected for some of the reported errors in case of nitrate. • It is utmost necessary to calibrate and standardise the instruments periodically to generate good analytical results. Different instruments have different requirements. • It is suggested to have continuous and regular participation of AQC exercise for the participating laboratories in order to improve the analytical ability.
  • 25. Inter-laboratory AQC exercise Page 23 Annex I Composition of standard samples CENTRAL POLLUTION COTNROL BOARD-DELHI-32 LABORATORY DIVISION-WATER LABORATORY ANALYTICAL QUALITY CONTROL, (AQC/WATER) EXERCISE – APRIL, 2000 FOR THE LABORATORIES OF SURFACE AND GROUND WATER DEPARTMENTS OF CENTRAL AND STATE GOVERNMENT UNDER “HYDROLOGY PROJECT” INGREDIENT OF SOLUTION, Hydrology Project, April, 2000 S.No. Name of chemical Weight in gm. Final volume Concentration 1 MAGNESIUM SULPHATE (MgSO4.7H2O) 16.400 2 litres 800 ppm Mg 3200 ppm SO4 2 CALCIUM CHLORIDE (CaCl2.2H2O) 14.700 2 litres 2000 ppm Ca 3500 ppm Cl 3 SODIUM FLUORIDE (NaF) 2.210 1 litre 1000 ppm F 4 POTASSIUM NITRATE (KNO3) 7.214 1 litre 1000 ppm NO3-N 5 BORIC ACID (H3BO3) 5.716 1 litre 1000 ppm Boron 6 SODIUM CHLORIDE (NaCl) 12.717 1 litre 5000 ppm Na 7 POTASSIUM DIHYDROGEN PHOSPHATE (KH2PO4) 0.439 1 litre 100 ppm PO4-P PREPARATION OF SAMPLE – A 600 ml MgSO4.7H2O + 375 ml CaCl2.2H2O + 90 ml NaF + 150 ml KNO3 + 100 ml H3BO3 + 150 ml KH2PO4 + 400 ml NaCl ---------------> Final Vol. 50 ltrs. PREPARATION OF SAMPLE – B 300 ml MgSO4.7H2O + 250 ml CaCl2.2H2O + 70 ml NaF + 100 ml KNO3 + 75 ml H3BO3 + 100 ml KH2PO4 +250 ml NaCl ---------------> Final Vol. 50 ltrs.
  • 26. Inter-laboratory AQC exercise Page 24 Annex II Communication with the despatch of samples CENTRAL POLLUTION CONTROL BOARD-DELHI 32 LABORATORY DIVISION – WATER LABORATORY ANALYTICAL QUALITY CONTOL, (AQC/WATER) EXERCISE – April 2000 FOR THE LABORATORIES OF SURFACE AND GROUND WATER DEPARTMENTS OF CENTRAL AND STATE GOVERNMENT UNDER “HYDROLOGY PROJECT” GENERAL INSTRUCTIONS Note: Please read the following instructions carefully before starting analysis of samples Two nos. of synthetic water samples (A & B) of one lit. each labelled with lab code are provided for analysing Conductivity, Total solids, Total Hardness, Sodium, Fluoride, Sulphate, Nitrate-N, Phosphate-P and Boron. Both labelled liquid samples (A & B) are to be analysed separately for all 9 parameters as shown below. S.No. Parameter Unit 01 Conductivity at 25°C µ mhos/cm 02 Total Solids mg/I 03 Total hardness as CaCO3 mg/I 04 Sodium mg/I 05 Fluoride as F mg/I 06 Sulphate as SO4 mg/I 07 Nitrate – N mg/I 08 Phosphate – P mg/I 09 Boron mg/I Note: Choose appropriate sample volume for each parameter for single run so that analysis can be done within the provided sample volume. ANALYTICAL METHODS: 1. You may choose any relevant method being followed in your laboratory for various parameters. However, the method is to be mentioned into the data format. 2. In case of colourometeric method the standard graph and the factor used for calculation for ample analysis is to be submitted along with the data sheet. 3. Brief outline of the procedures for each analytical parameter is to be provided as annexure along with the data sheets. Please note the following points: All the samples are to be analysed most preferably during 24th April to 5th May 2000 for better comparison purpose of data obtained from various laboratories. Report the analysis result in the enclosed Data format sheet only. Kindly avoid using separate typed data sheet.
  • 27. Inter-laboratory AQC exercise Page 25 Be sure that Lab code & sample code numbers are mentioned in the Data format sheet while sending the report. Be sure that all the units of various parameters are properly taken care while reporting data. Analysis report should be sent directly to the following address positively latest by 15th May 2000, without fail. Dr. S.D. Makhijani Additional Director (Labs) Central Pollution Control Board ‘Parivesh Bhawan’ East Arjun Nagar NEW DELHI – 110 052 Fax No. (011) 222 0844
  • 28. Inter-laboratory AQC exercise Page 26 Annex II a CENTRAL POLLUATION CONTROL BOARD, DELHI-32 LABORATORY DIVISION – WATER LABORATORY II AQC/WATER APRIL, 2000 LAB CODE II ANALYTICAL QUALITY CONTROL (AQC/WATER) EXERCISE – APRIL, 2000 FOR THE SURFACE & GROUND WATER LABORATRIES OF CENTRAL AND STATE DEPARTMENTS UNDER “HYDROLOGY PROJECT” 01 Name of the organisation 02 Address of the laboratory with PIN code, phone and fax PIN ………………… Phone …………….. Fax ……………….. 03 Sample analysed by: (Name & Designation) 1 ………………….. 2 …………………… 3 ………………….. 4 …………………… 04 Date of receipt of sample RESULTS Sample CodeS. No. Parameter A B Method Adopted Instrument used Calibration Graph attached (yes/no)@ Date of analysis 01 Conductivity at 25o C (µmhos/cm) 02 Total Dissolved Solids (mg/l) 03 Total Hardness (mg/l) 04 Sodium (mg/l) 05 Fluoride (mg/l) 06 Sulphate (mg/l) 07 Nitrate-N (mg/l) 08 Phosphate-P (mg/l) 09 Boron (mg/l) @ a copy of the standard Calibration graph, where ever applicable, is to be attached in Annexure. Dated Signature of Lab Incharge
  • 29. Inter-laboratory AQC exercise Page 27 Annex III Estimation of reference value and acceptable range for TDS for samples A and B TDS_A TDS_B All Data - Outliers 95%_CI All Data - Outliers 95%_CI 40 30 205 205 115 215 215 120 224 224 125 125 225 225 130 130 225 225 136 136 225 225 137.64 137.64 227.53 227.53 138 138 230 230 142 142 230 230 145 145 237 237 147 147 237 237 150 150 240 240 152 152 240 240 154 154 154 246 246 246 157 157 157 248 248 248 158.72 158.72 158.72 248 248 248 160 160 160 248 248 248 160 160 160 254 254 254 160 160 160 257 257 257 165 165 165 260 260 260 166 166 166 260 260 260 168 168 264 264 169 169 266 266 169 169 273 273 170 170 273 273 170 170 276.2 276.2 173.5 173.5 282 282 178 178 286 286 187.5 187.5 288 288 190 190 295 295 191 191 295 295 194 194 300 300 235 246 No. values (N) 33 32 34 29 Minimum 40 205 30 125 Maximum 300 300 246 194 Mean, X Ref. Mean, XREF 246.1 252.5 252.63 158.5 160.1 160.09 Std Dev (SD) 44.7 25.6 5.83 36.0 18.3 3.92 X – 1.96 SD/√N 243.64 153.45 X + 1.96 SD/√N 261.35 166.78 SDREF 5.83 3.92 SDADJ = √2SDREF 8.24 5.54 Lower limit = XREF - 3 SDADJ 227.9 143.5 Upper limit = XREF + 3 SDADJ 277.4 176.7