CCME-WQI and TM-WQI based Assessment for Groundwater Quality in Garividi region of Vizianagaram District, Andhra Pradesh, India
G. Rupakumari1*, G.V.R. Srinivasa Rao2, B. Kalyanaramu3
1Research Scholar, Department of Civil Engineering, AU College of Engineering (A),
Andhra University, Visakhapatnam - 530003, Andhra Pradesh (India)
2Faculty, Department of Civil Engineering, AU College of Engineering (A),
Andhra University, Visakhapatnam - 530003, Andhra Pradesh (India)
3Faculty, Department of Chemistry, Visakha Government Degree College (W), Visakhapatnam, A.P.
*Corresponding Author E-mail: g.rupakumari@gmail.com
Abstract:
The Canadian Council of Ministers of the Environment method (CCME) and the Logarithmic Aggregation method proposed by Tiwari and Mishra (TM) were used to assess the groundwater quality for drinking in Garividi region (Gurla, Gajapatinagaram, Dattirajeru, Merakamuidam, Cheepurupalli and Garividi mandals) which occupy some central part of Vizianagaram district of Andhra Pradesh, India. The groundwater samples were collected during every month from November 2018 to October 2019 from 38 bore wells of selected sampling locations in the study area. Fourteen parameters such as pH, EC, TDS, TH, TA, Ca2+, Mg2+, Na+, CO32-, HCO3-, Cl-, SO42-, NO3-, F- of samples were analyzed using standard laboratory procedures. This paper describes the assessment of ground water quality for drinking purposes using CCME and TM water quality index methods and water quality parameters variation with regression correlation analysis during Post and Pre monsoons and monsoon. From CCME-WQI analysis, it is observed that quality of about 2.63% of the water samples is Excellent, about 28.95% of the water samples is Good, about 52.63% of the water samples is Fair, about 5.26% is Marginal and remaining 10.53% is Poor and from TM-WQI analysis, it is observed that quality of about 2.63% of the water samples is Excellent, quality of about 42.1% of the water samples is good, about 39.5% is Medium, about 13.2% is poor and remaining 2.63% is unsuitable for drinking purpose in the study area. From the correlation analysis, it is observed that EC and TDS are the important parameters, as they are significantly correlated with other parameters.
KEYWORDS: Analysis, Correlation matrix, CCME-WQI, Logarithmic Aggregation, TM-WQI.
INTRODUCTION:
Water is an essential component for human life and industrial development. For many rural and small-scale communities, groundwater is the only source of drinking water. Groundwater quality is very essential in a sense of practical utility for domestic, agricultural and industrial purposes. Hence, present utility and future development programs are depending on the physical, chemical and bacterial character of the water. The quality of groundwater varies due to a change in chemical composition of the underlying sediments and aquifer. However, in the recent past groundwater quality is getting deteriorated due to various reasons and making it unsuitable for drinking purposes threatening the human health. Therefore, the groundwater quality assessment for drinking has become a necessary and important task for the present and future groundwater quality management.
Several studies have been conducted on the assessment of groundwater quality1-10 using water quality index and comparison methods. Several researchers conducted studies to assess the quality of surface water11-12 using CCME- WQI method. The groundwater quality assessment was done in Cauvery deltaic region, Tamilnadu, for drinking13 and in Kadava River basin, Maharashtra for drinking and irrigation14-15 using the same method. According to the literature, the studies related to assessment of groundwater quality using CCME and TM Water Quality Index methods in Vizianagaram district was not yet conducted. Therefore, CCME and TM Water Quality Index methods are used for assessment of groundwater quality in the study area for drinking.
Study area:
The study area considered for this work is Garividi and surrounding mandals occupied by some central part of Vizianagaram district. It lies between180-10 and 190-01 of the northern latitudes and 830-11 and 830-51of the eastern longitudes (FIG.1) and occupies an area of around 890 sq.km and comprises of 228 villages.
Figure 1: Location map of the study area
Table 1: Coordinates of Sampling Locations in the Study area
|
S No |
Sample Id |
Sampling Station |
Mandal |
Latitude |
Longitude |
|
1 |
CS1 |
Alajangi |
Cheepurupalli |
18018'00 |
83036'35" |
|
2 |
CS2 |
Devarapodilam |
Cheepurupalli |
18018'46" |
83039'39" |
|
3 |
CS3 |
Karlam |
Cheepurupalli |
18017'24" |
83038'43" |
|
4 |
CS4 |
Nimmavalasa |
Cheepurupalli |
18017'33" |
83038'42" |
|
5 |
CS5 |
Parla |
Cheepurupalli |
18014'54" |
83034'57" |
|
6 |
CS6 |
Peripi |
Cheepurupalli |
18015'56" |
83036'47" |
|
7 |
CS7 |
Ramalingpuram |
Cheepurupalli |
18018'44" |
83036'26" |
|
8 |
CS8 |
Chinakada |
Dattirajeru |
18011'43" |
83014'20" |
|
9 |
CS9 |
Datti |
Dattirajeru |
18014'26" |
83014'00" |
|
10 |
CS10 |
Dattirajeru |
Dattirajeru |
18013'40" |
83014'11" |
|
11 |
CS11 |
Ingilapalli |
Dattirajeru |
18013'37" |
83011'30" |
|
12 |
CS12 |
K. Kothavalasa |
Dattirajeru |
18015'28" |
83012'28" |
|
13 |
CS13 |
Pedamanapuram |
Dattirajeru |
18012'55" |
83012'08" |
|
14 |
CS14 |
Shikaruganji |
Dattirajeru |
18015'35" |
83014'11" |
|
15 |
CS15 |
Gajapathinagaram |
Gajapathinagaram |
18016'44" |
83020'20" |
|
16 |
CS16 |
Konisa |
Gajapathinagaram |
18017'29" |
83017'41" |
|
17 |
CS17 |
Marupalli |
Gajapathinagaram |
18019'04" |
83020'31" |
|
18 |
CS18 |
Mutcherla |
Gajapathinagaram |
18017'28" |
83024'49" |
|
19 |
CS19 |
Ramannapeta |
Gajapathinagaram |
18018'50" |
83024'03" |
|
20 |
CS20 |
Seetharampuram |
Gajapathinagaram |
18015'39" |
83023'19" |
|
21 |
CS21 |
Devada |
Garividi |
18015'20" |
83033'33" |
|
22 |
CS22 |
Yenuguvalasa |
Garividi |
18019'16" |
83033'06" |
|
23 |
CS23 |
Garividi |
Garividi |
18016'49" |
83031'57" |
|
24 |
CS24 |
Neeladripuram |
Garividi |
18020'14" |
83031'09" |
|
25 |
CS25 |
Seripeta |
Garividi |
18015'32" |
83031'13" |
|
26 |
CS26 |
Anandapuram |
Gurla |
18014'20" |
83025'44" |
|
27 |
CS27 |
Garikivalasa |
Gurla |
18015'07" |
83026'01" |
|
28 |
CS28 |
Gujjangivalasa |
Gurla |
18014'16" |
83029'00" |
|
29 |
CS29 |
Kondagandredu |
Gurla |
18017'04" |
83027'05" |
|
30 |
CS30 |
Nagallavalasa |
Gurla |
18013'54" |
83032'16" |
|
31 |
CS31 |
Pedabantupalli |
Gurla |
18019'10" |
83029'43" |
|
32 |
CS32 |
Penubarthi |
Gurla |
18016'33" |
83029'47" |
|
33 |
CS33 |
Vallapuram |
Gurla |
18011'59" |
83031'00" |
|
34 |
CS34 |
Billalavalasa |
Merakamudidam |
18021'58" |
83030'03" |
|
35 |
CS35 |
Garugubilli |
Merakamudidam |
18023'19" |
83033'20" |
|
36 |
CS36 |
Ippalavalasa |
Merakamudidam |
18020'27" |
83029'50" |
|
37 |
CS37 |
Uttaravalli |
Merakamudidam |
18027'42" |
83028'38" |
|
38 |
CS38 |
Yadika |
Merakamudidam |
18022'10" |
83033'40" |
MATERIALS AND METHODS:
A total number of 456 groundwater samples i.e.152 samples each in post-monsoon (POM), pre-monsoon (PRM) & monsoon (MON)) were collected from different selected sampling locations (vide TABLE 1) of the study area from November 2018 to October 2019. Samples were collected in polythene bottles, pre-cleaned by washing with non-ionic detergents, rinsed with water, 1:1 hydrochloric acid and finally with de-ionized water. Before sampling, the bottles were rinsed three times with sample water. Tube wells are operated at least five minutes before collection of the water samples. The analysis was done using standard methods and techniques16. pH and EC are measured using digital pH meter (Elico LI-120) and conductometer (Elico CL-351) respectively. TDS is determined by gravimetric method whereas parameters like Total Hardness (TH), Total Alkalinity (TA), Calcium, Magnesium, Chloride, Carbonates and Bicarbonates are determined by titrimetric method. Nitrate (NO3-) ion is determined using UV-visible spectrophotometer (Elico SL-177) with 1cm quartz cell, using Phenol Disulphonic Acid (PDA) method whereas Fluoride (F- ion) is determined by SPADNS method and other parameters such as Sulphate is determined by turbidimetry using standard barium chloride solution. Sodium ion is measured by flame photometry (Elico CL-361).
a. CCME Water quality Index method:
Canadian water quality index is the water quality index developed by the Canadian Council of Ministers of the Environment and used among the researchers in developing countries for simplifying the reporting of water quality data and delivers a broad overview of water quality data17. This method requires Water Quality Objectives (WQOs) and this essentially consists of two steps. Step I: Calculation of three measures of variance from WQOs (scope F1, frequency F2 and amplitude F3). Step II: Deduct from 100 the value of square root of sum of squares of F1, F2 an F3 divided by 1.732 to produce a value between 0 and 100 that represent the overall water quality. Scope F1 represents the number of variables not meeting water quality objectives; frequency F2 considers the number of times these objectives are not met; and amplitude F3 is the measure of the amount by which the objectives are not met. Based on CCME-WQI values, quality of water is classified into five categories 17, as shown in the Table 2.
Table 2: Classification of water quality based on CCME-WQI values
|
WQI range |
Ranking of water quality |
Abbreviation used in Table 4 for ranking of water quality |
Remarks |
|
95-100 |
Excellent |
EXC |
Water quality is protected with a virtual absence of threat or impairment; conditions very close to natural or pristine levels. |
|
80-94 |
Good |
GOOD |
Water quality is protected with only a minor degree of threat or impairment; conditions rarely depart from natural or desirable levels. |
|
65-79 |
Fair |
FAIR |
Water quality is usually protected but occasionally threatened or impaired; conditions sometimes depart from natural or desirable levels. |
|
45-64 |
Marginal |
MAR |
Water quality is frequently threatened or impaired; conditions often depart from natural or desirable levels. |
|
0-44 |
Poor |
POOR |
Water quality is almost always threatened or impaired; conditions usually depart from natural or desirable levels. |
b. Tiwari and Mishra Water Quality Index method:
The WQI calculated by the method described by Tiwari and Mishra18 is similar to the basic method of Horton19. Except in this method, the logarithm and antilogarithm is used, and it is only for mathematical purposes, indeed the logarithm reduces the magnitude of the chemical variables and the antilogarithm is used after, to broaden and make visible the classification scale. The WQI is calculated using two steps. Step I: Measurement of Unit weight (Wi) and Quality rating (Qi). Step II: Product of Wi and Log Qi and antilog of sum of products for i variables to give a value between 0 and 100 that represent the overall water quality. Based on TM-WQI values, quality status of water is classified as shown in the Table 3.
Table 3: Classification of water quality based on TM-WQI values
|
WQI range |
Status of water quality |
Abbreviation used in Table 4 for Status of water quality |
|
0-25 |
Excellent |
EXC |
|
26-50 |
Good |
GOOD |
|
51-75 |
Medium |
MED |
|
76-100 |
Poor |
POOR |
|
Above 100 |
Unsuitable |
UNS |
RESULTS AND DISCUSSIONS:
The test results of varied parameters are showing some fluctuations based on chemical analysis. The physical-chemical parameters of groundwater samples, CCME and TM water quality index values of POM, PRM & MON are shown in the TABLE 4, 5 and 6 respectively. From the analysis, it is observed that the EC and TDS values showed increasing trend from PRM to POM. HCO3and SO4are found to be higher during POM. Sodium, Chlorides and Fluorides are higher in PRM.
Correlation matrix:
The degree of a linear association between water quality parameters and Water Quality Indices has been measured by the simple correlation coefficient (r) 20-21. Correlation analysis measures the closeness of the relationship between chosen variables; if the correlation coefficient is nearer to +1 or -1, the linear relationship between the two variables is perfected. The Correlation matrices for 16 variables including CCME and TM water quality indices were prepared for two seasons i.e., Post monsoon (POM) and Pre monsoon (PRM) and shown in the Table 7. The results of correlation matrices showed the significant relation in the study area. A strong positive correlation between EC-TDS (r=0.999) and Cl-Na (r=0.999) was observed in both seasons. pH exhibited a negative correlation with the most of the variables in all seasons. The calculated TM-WQI showed the significant interrelation between its values and F (r=0.98), TDS and EC (r=0.428), TA(r=0.486), HCO3 (r=0.497), SO4 (r=0.479), Mg (r=0.436) in POM. The calculated TM-WQI showed the significant interrelation between its values and F (r=0.975), TDS (r=0.420), EC (r=0.419), TA& HCO3 (r=0.499), SO4 (r=0.475), Mg (r=0.421) in PRM. The correlation analysis of CCME-WQI showed the negative correlation with all parameters except with pH in all seasons.
|
Sample ID→ Parameters↓ |
MS1 |
MS2 |
MS3 |
MS4 |
MS5 |
MS6 |
MS7 |
MS8 |
MS9 |
MS10 |
MS11 |
MS12 |
MS13 |
|
pH |
7.33 |
7.73 |
7.79 |
7.61 |
7.71 |
7.35 |
7.38 |
7.33 |
7.35 |
7.90 |
7.65 |
7.50 |
7.31 |
|
EC |
1737.3 |
1636.5 |
2064.8 |
1708.5 |
1590.3 |
1804.5 |
1413.3 |
3107.3 |
1754.0 |
2149.0 |
2930.3 |
1943.0 |
5194.8 |
|
TDS |
1134.0 |
1066.8 |
1341.0 |
1113.0 |
1037.3 |
1174.3 |
924.0 |
2005.0 |
1142.0 |
1395.0 |
1895.0 |
1263.0 |
3345.0 |
|
NO3 |
28.00 |
38.00 |
38.00 |
32.08 |
28.60 |
26.00 |
30.00 |
17.00 |
19.00 |
8.00 |
26.00 |
36.00 |
27.00 |
|
TH |
420.00 |
320.00 |
610.00 |
320.00 |
400.00 |
370.00 |
335.00 |
725.00 |
505.00 |
250.00 |
445.00 |
420.00 |
995.00 |
|
Ca |
175.00 |
29.75 |
217.00 |
96.00 |
64.00 |
66.00 |
29.00 |
164.00 |
79.00 |
36.00 |
91.00 |
96.00 |
77.00 |
|
Mg |
79.00 |
85.00 |
95.00 |
16.00 |
58.00 |
48.00 |
85.00 |
77.00 |
75.00 |
38.00 |
53.00 |
44.00 |
193.00 |
|
Na |
190.25 |
218.75 |
199.50 |
147.25 |
73.50 |
72.00 |
66.25 |
230.75 |
147.25 |
128.00 |
181.00 |
55.25 |
422.50 |
|
Cl |
292.50 |
337.50 |
307.50 |
227.25 |
112.75 |
111.00 |
102.00 |
356.00 |
227.00 |
197.00 |
279.00 |
85.00 |
647.25 |
|
SO4 |
44.00 |
72.00 |
13.00 |
18.00 |
23.35 |
21.00 |
72.00 |
38.00 |
46.00 |
60.00 |
30.00 |
34.00 |
128.00 |
|
CO3 |
175.00 |
12.00 |
215.00 |
12.00 |
33.00 |
22.00 |
9.00 |
132.00 |
39.00 |
7.00 |
19.00 |
19.00 |
108.00 |
|
HCO3 |
395.00 |
345.00 |
540.00 |
280.00 |
340.00 |
330.00 |
355.00 |
440.00 |
400.00 |
200.00 |
395.00 |
395.00 |
620.00 |
|
F |
0.31 |
0.90 |
0.52 |
0.32 |
0.62 |
0.42 |
0.62 |
0.68 |
1.01 |
0.96 |
1.12 |
1.23 |
0.68 |
|
TA |
415.00 |
365.00 |
560.00 |
300.00 |
360.00 |
350.00 |
375.00 |
460.00 |
420.00 |
220.00 |
415.00 |
415.00 |
640.00 |
|
CCMEWQI |
64.36 |
69.40 |
43.04 |
81.00 |
75.37 |
80.42 |
81.28 |
52.49 |
69.73 |
80.34 |
71.82 |
74.38 |
38.37 |
|
QUALITY |
FAIR |
FAIR |
POOR |
GOOD |
FAIR |
GOOD |
GOOD |
MAR |
FAIR |
GOOD |
FAIR |
FAIR |
POOR |
|
TMWQI |
29.63 |
69.73 |
50.18 |
29.35 |
52.38 |
34.82 |
46.87 |
54.76 |
72.23 |
70.57 |
82.70 |
86.05 |
55.30 |
|
QUALITY |
GOOD |
MED |
MED |
GOOD |
MED |
GOOD |
GOOD |
MED |
MED |
MED |
POOR |
POOR |
MED |
|
Sample ID→ Parameters↓ |
MS14 |
MS15 |
MS16 |
MS17 |
MS18 |
MS19 |
MS20 |
MS21 |
MS22 |
MS23 |
MS24 |
MS25 |
MS26 |
|
pH |
7.53 |
7.33 |
7.35 |
7.08 |
7.38 |
7.35 |
7.40 |
7.55 |
7.34 |
7.65 |
7.58 |
7.34 |
7.45 |
|
EC |
2198.8 |
2770.8 |
3179.0 |
1980.3 |
1469.8 |
1990.8 |
1147.8 |
1719.8 |
1679.5 |
1190.5 |
947.8 |
1477.0 |
2094.8 |
|
TDS |
1426.3 |
1792.8 |
2054.0 |
1287.0 |
960.0 |
1293.8 |
754.0 |
1120.0 |
1094.5 |
781.5 |
626.0 |
965.0 |
1360.0 |
|
NO3 |
17.00 |
58.00 |
53.00 |
43.50 |
25.50 |
45.00 |
17.50 |
21.00 |
19.40 |
10.00 |
21.50 |
24.55 |
18.00 |
|
TH |
405.00 |
580.00 |
920.00 |
490.00 |
455.00 |
565.00 |
310.00 |
500.00 |
400.00 |
390.00 |
215.00 |
400.00 |
605.00 |
|
Ca |
49.00 |
372.00 |
262.00 |
108.00 |
129.00 |
145.00 |
59.00 |
63.00 |
64.00 |
53.00 |
39.00 |
32.00 |
57.00 |
|
Mg |
69.00 |
199.00 |
62.00 |
54.00 |
33.00 |
50.00 |
38.00 |
83.00 |
58.00 |
90.00 |
27.00 |
78.00 |
91.00 |
|
Na |
148.75 |
440.00 |
289.50 |
288.50 |
99.00 |
245.00 |
77.00 |
144.25 |
110.25 |
95.75 |
61.75 |
73.50 |
198.00 |
|
Cl |
229.50 |
678.75 |
446.00 |
445.00 |
152.50 |
377.50 |
118.50 |
222.50 |
170.00 |
147.50 |
95.00 |
112.75 |
305.00 |
|
SO4 |
16.00 |
170.00 |
56.00 |
48.00 |
29.00 |
57.00 |
14.00 |
21.00 |
52.03 |
74.00 |
14.00 |
14.00 |
59.00 |
|
CO3 |
11.00 |
504.00 |
98.00 |
7.00 |
32.00 |
52.00 |
15.00 |
26.00 |
12.00 |
33.00 |
11.00 |
10.00 |
9.00 |
|
HCO3 |
395.00 |
583.75 |
688.75 |
408.75 |
395.00 |
405.00 |
285.00 |
445.00 |
340.00 |
385.00 |
195.00 |
415.00 |
485.00 |
|
F |
1.29 |
1.45 |
1.00 |
0.68 |
1.42 |
0.64 |
0.86 |
0.66 |
0.64 |
0.80 |
0.28 |
0.64 |
0.65 |
|
TA |
415.00 |
603.75 |
708.75 |
428.75 |
415.00 |
425.00 |
307.50 |
465.00 |
360.00 |
322.25 |
215.00 |
435.00 |
505.00 |
|
CCMEWQI |
73.70 |
20.50 |
35.77 |
67.64 |
69.64 |
56.54 |
82.13 |
76.53 |
80.70 |
76.82 |
88.33 |
80.75 |
64.42 |
|
QUALITY |
FAIR |
POOR |
POOR |
FAIR |
FAIR |
MAR |
GOOD |
FAIR |
GOOD |
FAIR |
GOOD |
GOOD |
FAIR |
|
TMWQI |
87.56 |
109.76 |
76.59 |
42.76 |
94.73 |
51.75 |
49.50 |
52.99 |
47.90 |
62.81 |
25.55 |
47.38 |
50.03 |
|
QUALITY |
POOR |
UNS |
POOR |
GOOD |
POOR |
MED |
GOOD |
MED |
GOOD |
MED |
EXC |
GOOD |
MED |
|
Sample ID→ Parameters↓ |
MS27 |
MS28 |
MS29 |
MS30 |
MS31 |
MS32 |
MS33 |
MS34 |
MS35 |
MS36 |
MS37 |
MS38 |
Permissible values (Si) |
|
pH |
7.41 |
7.52 |
7.47 |
7.36 |
7.48 |
7.46 |
7.69 |
7.39 |
7.75 |
7.35 |
7.46 |
7.90 |
8.5 |
|
EC |
1651.0 |
1235.3 |
1741.3 |
1286.5 |
1215.0 |
1844.5 |
1138.3 |
1446.0 |
1908.8 |
645.0 |
1757.0 |
1839.8 |
1000 |
|
TDS |
1077.0 |
810.0 |
1134.0 |
842.8 |
797.0 |
1200.0 |
748.0 |
944.8 |
1241.0 |
432.3 |
1144.0 |
1197.0 |
600 |
|
NO3 |
17.80 |
13.00 |
37.00 |
17.95 |
22.03 |
33.00 |
38.70 |
5.00 |
15 |
12.75 |
25.00 |
23.28 |
50 |
|
TH |
440.00 |
305.00 |
555.00 |
320.00 |
280.00 |
490.00 |
200.00 |
420.00 |
530 |
150.00 |
450.00 |
480.00 |
500 |
|
Ca |
64.00 |
123.00 |
122.00 |
80.00 |
64.00 |
34.00 |
48.00 |
145.00 |
50 |
39.00 |
66.00 |
64.00 |
200 |
|
Mg |
68.00 |
7.00 |
57.50 |
29.00 |
29.00 |
96.00 |
19.00 |
67.00 |
96 |
14.00 |
67.00 |
78.00 |
150 |
|
Na |
73.25 |
162.50 |
112.25 |
73.50 |
73.50 |
72.50 |
110.50 |
136.50 |
73 |
55.25 |
71.75 |
73.25 |
200 |
|
Cl |
112.75 |
250.00 |
173.25 |
113.00 |
113.25 |
111.50 |
170.00 |
210.00 |
112.5 |
85.00 |
110.00 |
112.75 |
250 |
|
SO4 |
19.03 |
31.00 |
38.00 |
21.00 |
17.00 |
35.00 |
19.00 |
8.00 |
22 |
7.00 |
21.00 |
17.55 |
250 |
|
CO3 |
23.00 |
11.00 |
62.00 |
31.00 |
29.00 |
34.00 |
8.00 |
148.00 |
62 |
26.00 |
30.00 |
45.00 |
30 |
|
HCO3 |
415.00 |
290.00 |
415.00 |
260.00 |
226.25 |
415.00 |
176.25 |
375.00 |
425 |
116.25 |
392.50 |
418.75 |
500 |
|
F |
0.45 |
0.32 |
0.35 |
0.60 |
0.60 |
0.85 |
0.35 |
0.31 |
0.64 |
0.04 |
0.50 |
0.72 |
1.2 |
|
TA |
435.00 |
310.00 |
435.00 |
280.00 |
246.25 |
435.00 |
196.25 |
395.00 |
445 |
136.25 |
412.50 |
438.75 |
200 |
|
CCMEWQI |
80.28 |
78.31 |
68.16 |
76.98 |
82.24 |
74.37 |
84.45 |
71.03 |
67.81 |
100.00 |
76.75 |
73.94 |
|
|
QUALITY |
GOOD |
FAIR |
FAIR |
FAIR |
GOOD |
FAIR |
GOOD |
FAIR |
FAIR |
EXC |
FAIR |
FAIR |
|
|
TMWQI |
37.37 |
28.17 |
32.78 |
46.09 |
47.94 |
64.65 |
31.35 |
28.68 |
54.72 |
5.11 |
41.82 |
61.17 |
|
|
QUALITY |
GOOD |
GOOD |
GOOD |
GOOD |
GOOD |
MED |
GOOD |
GOOD |
MED |
EXC |
GOOD |
MED |
|
Table 5: Analysis of Groundwater samples: Physical and Chemical parameters and calculated values of WQI in pre monsoon
|
Sample ID→ Parameters↓ |
MS1 |
MS2 |
MS3 |
MS4 |
MS5 |
MS6 |
MS7 |
MS8 |
MS9 |
MS10 |
MS11 |
MS12 |
MS13 |
|
pH |
7.13 |
7.58 |
7.50 |
7.45 |
7.51 |
7.25 |
7.14 |
7.13 |
7.18 |
7.70 |
7.40 |
7.35 |
7.15 |
|
EC |
1682.0 |
1609.0 |
2033.3 |
1672.5 |
1563.0 |
1777.5 |
1387.8 |
3079.5 |
1730.8 |
2133.8 |
2907.3 |
1912.0 |
5180.0 |
|
TDS |
1096.0 |
1049.0 |
1320.8 |
1090.0 |
1020.0 |
1157.3 |
908.0 |
1990.0 |
1127.0 |
1385.0 |
1880.0 |
1243.0 |
3335.0 |
|
NO3 |
25.00 |
36.00 |
35.00 |
30.08 |
25.00 |
24.08 |
27.08 |
15.00 |
17.00 |
4.00 |
24.00 |
33.00 |
24.00 |
|
TH |
408.00 |
313.00 |
600.00 |
310.00 |
390.00 |
360.00 |
324.75 |
715.00 |
495.00 |
240.00 |
435.00 |
410.00 |
987.75 |
|
Ca |
173.00 |
27.20 |
215.00 |
94.00 |
62.00 |
64.00 |
27.20 |
162.00 |
77.00 |
32.00 |
89.00 |
94.00 |
75.00 |
|
Mg |
80.00 |
86.50 |
96.00 |
17.00 |
59.00 |
49.00 |
86.50 |
78.00 |
76.00 |
39.00 |
54.00 |
45.00 |
194.00 |
|
Na |
191.50 |
222.00 |
201.50 |
149.25 |
75.00 |
73.50 |
68.00 |
233.50 |
149.50 |
129.00 |
182.00 |
57.75 |
425.00 |
|
Cl |
295.50 |
340.00 |
310.00 |
230.00 |
115.00 |
112.75 |
104.50 |
360.00 |
230.00 |
198.00 |
280.00 |
88.75 |
652.25 |
|
SO4 |
42.00 |
70.00 |
11.00 |
16.00 |
21.00 |
18.50 |
70.00 |
36.00 |
43.00 |
58.00 |
28.00 |
31.00 |
126.00 |
|
CO3 |
173.00 |
10.00 |
213.00 |
9.00 |
31.00 |
20.00 |
7.00 |
130.00 |
37.00 |
5.00 |
16.00 |
16.00 |
106.00 |
|
HCO3 |
385.25 |
331.75 |
530.00 |
270.00 |
330.00 |
322.50 |
347.25 |
430.00 |
390.00 |
190.00 |
385.25 |
385.25 |
605.50 |
|
F |
0.36 |
0.96 |
0.58 |
0.42 |
0.67 |
0.49 |
0.70 |
0.72 |
1.07 |
1.02 |
1.18 |
1.29 |
0.72 |
|
TA |
405.25 |
351.75 |
550.00 |
290.00 |
350.00 |
342.50 |
367.25 |
450.00 |
410.00 |
210.00 |
405.25 |
405.25 |
625.50 |
|
CCMEWQI |
64.58 |
69.48 |
42.53 |
81.15 |
76.22 |
80.55 |
81.38 |
52.60 |
74.66 |
81.08 |
71.93 |
74.45 |
38.44 |
|
QUALITY |
FAIR |
FAIR |
POOR |
GOOD |
FAIR |
GOOD |
GOOD |
MAR |
FAIR |
GOOD |
FAIR |
FAIR |
POOR |
|
TMWQI |
29.97 |
71.07 |
51.85 |
34.84 |
53.39 |
37.65 |
45.73 |
51.43 |
69.65 |
70.24 |
81.02 |
85.24 |
53.26 |
|
QUALITY |
GOOD |
MED |
MED |
GOOD |
MED |
GOOD |
GOOD |
MED |
MED |
MED |
POOR |
POOR |
MED |
|
Sample ID→ Parameters↓ |
MS14 |
MS15 |
MS16 |
MS17 |
MS18 |
MS19 |
MS20 |
MS21 |
MS22 |
MS23 |
MS24 |
MS25 |
MS26 |
|
pH |
7.30 |
7.20 |
7.24 |
6.78 |
7.22 |
7.15 |
7.19 |
7.30 |
7.18 |
7.40 |
7.42 |
7.13 |
7.28 |
|
EC |
2151.8 |
2747.5 |
3150.8 |
1959.0 |
1454.0 |
1972.3 |
1116.0 |
1688.3 |
1647.8 |
1163.3 |
929.0 |
1446.0 |
2060.8 |
|
TDS |
1410.0 |
1777.8 |
2037.0 |
1273.0 |
950.0 |
1280.0 |
734.0 |
1101.3 |
1074.0 |
764.0 |
614.0 |
945.0 |
1343.0 |
|
NO3 |
15.00 |
56.03 |
50.73 |
41.00 |
23.25 |
42.00 |
15.08 |
19.00 |
17.00 |
8.00 |
19.43 |
21.25 |
15.00 |
|
TH |
395.00 |
570.00 |
910.00 |
485.00 |
450.00 |
555.00 |
300.00 |
490.00 |
395.00 |
380.00 |
207.75 |
390.00 |
595.00 |
|
Ca |
47.00 |
370.00 |
260.00 |
105.00 |
127.00 |
143.00 |
56.00 |
61.00 |
62.00 |
51.00 |
37.00 |
30.00 |
55.00 |
|
Mg |
70.00 |
200.00 |
63.00 |
55.00 |
34.00 |
51.00 |
39.00 |
84.00 |
59.00 |
91.00 |
28.00 |
79.00 |
92.00 |
|
Na |
149.50 |
442.00 |
290.50 |
290.50 |
100.75 |
247.00 |
78.00 |
146.00 |
113.75 |
97.50 |
65.00 |
75.00 |
201.50 |
|
Cl |
230.00 |
681.00 |
447.25 |
448.00 |
155.00 |
380.00 |
119.75 |
225.00 |
175.00 |
150.00 |
100.00 |
115.00 |
310.00 |
|
SO4 |
14.00 |
168.00 |
54.00 |
46.00 |
27.00 |
55.00 |
12.00 |
19.00 |
50.00 |
72.00 |
12.00 |
12.00 |
57.00 |
|
CO3 |
8.00 |
501.00 |
96.00 |
4.00 |
30.00 |
49.75 |
11.00 |
24.00 |
10.00 |
31.00 |
8.00 |
7.00 |
6.00 |
|
HCO3 |
385.00 |
575.00 |
672.50 |
397.50 |
385.00 |
395.00 |
275.00 |
437.50 |
330.00 |
375.00 |
183.75 |
401.25 |
471.25 |
|
F |
1.36 |
1.50 |
1.05 |
0.74 |
1.50 |
0.72 |
0.92 |
0.71 |
0.70 |
0.86 |
0.32 |
0.75 |
0.73 |
|
TA |
405.00 |
595.00 |
692.50 |
417.50 |
405.00 |
415.00 |
295.00 |
457.50 |
350.00 |
395.00 |
203.75 |
421.25 |
491.25 |
|
CCMEWQI |
73.78 |
20.55 |
36.57 |
67.72 |
71.72 |
56.67 |
82.22 |
80.02 |
80.84 |
76.75 |
89.69 |
80.92 |
63.24 |
|
QUALITY |
FAIR |
POOR |
POOR |
FAIR |
FAIR |
MAR |
GOOD |
GOOD |
GOOD |
FAIR |
GOOD |
GOOD |
MAR |
|
TMWQI |
84.59 |
106.47 |
76.19 |
50.81 |
92.44 |
51.62 |
48.05 |
52.52 |
47.40 |
62.65 |
27.09 |
47.28 |
51.11 |
|
QUALITY |
POOR |
UNS |
POOR |
MED |
POOR |
MED |
GOOD |
MED |
GOOD |
MED |
GOOD |
GOOD |
MED |
|
Sample ID→ Parameters↓ |
MS27 |
MS28 |
MS29 |
MS30 |
MS31 |
MS32 |
MS33 |
MS34 |
MS35 |
MS36 |
MS37 |
MS38 |
Permissible values (Si) |
|
pH |
7.19 |
7.34 |
7.29 |
7.20 |
7.30 |
7.29 |
7.40 |
7.24 |
7.52 |
7.11 |
7.32 |
7.60 |
8.5 |
|
EC |
1621.0 |
1204.0 |
1710.3 |
1274.3 |
1184.5 |
1825.8 |
1107.3 |
1420.5 |
1877.3 |
615.0 |
1730.3 |
1808.8 |
1000 |
|
TDS |
1057.0 |
790.0 |
1114.0 |
835.0 |
777.0 |
1188.0 |
728.0 |
928.5 |
1221.0 |
413.0 |
1127.0 |
1177.0 |
600 |
|
NO3 |
14.00 |
10.10 |
35.20 |
15.00 |
20.00 |
31.20 |
36.00 |
2.00 |
12.60 |
10.05 |
22.15 |
20.00 |
50 |
|
TH |
430.00 |
296.00 |
544.50 |
310.00 |
270.00 |
480.00 |
190.00 |
410.00 |
520.00 |
140.00 |
440.00 |
470.00 |
500 |
|
Ca |
62.00 |
121.00 |
120.00 |
78.00 |
62.00 |
32.00 |
46.00 |
143.00 |
48.00 |
36.25 |
64.00 |
62.00 |
200 |
|
Mg |
69.00 |
8.00 |
59.00 |
30.00 |
30.00 |
97.00 |
20.00 |
68.00 |
97.00 |
15.00 |
68.00 |
79.00 |
150 |
|
Na |
74.75 |
164.00 |
114.50 |
75.00 |
75.00 |
73.50 |
113.50 |
138.50 |
75.00 |
57.00 |
73.50 |
75.00 |
200 |
|
Cl |
115.00 |
252.25 |
176.00 |
115.00 |
115.00 |
112.75 |
175.00 |
213.75 |
114.50 |
87.75 |
113.00 |
115.00 |
250 |
|
SO4 |
17.00 |
29.00 |
36.00 |
19.00 |
15.00 |
33.15 |
17.00 |
3.00 |
19.10 |
3.00 |
19.05 |
15.00 |
250 |
|
CO3 |
21.00 |
8.00 |
60.00 |
29.00 |
26.00 |
32.00 |
5.00 |
146.00 |
59.00 |
24.00 |
28.00 |
43.00 |
30 |
|
HCO3 |
401.25 |
280.00 |
405.00 |
251.25 |
218.75 |
405.00 |
167.50 |
365.00 |
415.00 |
101.25 |
387.50 |
405.00 |
500 |
|
F |
0.51 |
0.38 |
0.39 |
0.64 |
0.65 |
0.91 |
0.40 |
0.37 |
0.69 |
0.09 |
0.56 |
0.78 |
1.2 |
|
TA |
421.25 |
300.00 |
425.00 |
271.25 |
238.75 |
425.00 |
187.50 |
385.00 |
435.00 |
121.25 |
407.50 |
425.00 |
200 |
|
CCMEWQI |
80.45 |
77.05 |
68.36 |
82.07 |
82.30 |
74.55 |
88.26 |
71.23 |
68.05 |
100.00 |
80.24 |
74.17 |
|
|
QUALITY |
GOOD |
FAIR |
FAIR |
GOOD |
GOOD |
FAIR |
GOOD |
FAIR |
FAIR |
EXC |
GOOD |
FAIR |
|
|
TMWQI |
37.62 |
30.35 |
33.81 |
45.42 |
48.19 |
64.61 |
32.27 |
30.66 |
55.38 |
8.44 |
43.78 |
61.99 |
|
|
QUALITY |
GOOD |
GOOD |
GOOD |
GOOD |
GOOD |
MED |
GOOD |
GOOD |
MED |
EXC |
GOOD |
MED |
|
Table 6: Analysis of Groundwater samples: Physical and Chemical parameters and calculated values of WQI in monsoon
|
Sample ID→ Parameters↓ |
MS1 |
MS2 |
MS3 |
MS4 |
MS5 |
MS6 |
MS7 |
MS8 |
MS9 |
MS10 |
MS11 |
MS12 |
MS13 |
|
pH |
7.26 |
7.63 |
7.69 |
7.54 |
7.62 |
7.30 |
7.27 |
7.24 |
7.28 |
7.80 |
7.55 |
7.40 |
7.23 |
|
EC |
1707.8 |
1623.0 |
2048.8 |
1689.0 |
1579.8 |
1790.3 |
1400.5 |
3087.8 |
1744.8 |
2141.3 |
2915.0 |
1929.8 |
5187.0 |
|
TDS |
1112.5 |
1058.0 |
1330.8 |
1100.8 |
1030.5 |
1165.3 |
916.0 |
1995.5 |
1136.0 |
1390.0 |
1885.0 |
1254.5 |
3340.0 |
|
NO3 |
26.00 |
37.00 |
36.05 |
31.00 |
27.00 |
25.00 |
28.00 |
16.00 |
18.00 |
6.00 |
25.00 |
35.00 |
25.00 |
|
TH |
415.00 |
315.00 |
604.50 |
315.00 |
395.00 |
365.00 |
330.00 |
720.00 |
500.00 |
245.00 |
440.00 |
415.00 |
990.00 |
|
Ca |
174.00 |
28.00 |
216.00 |
95.00 |
63.00 |
65.00 |
28.00 |
163.00 |
78.00 |
34.00 |
90.00 |
95.00 |
76.00 |
|
Mg |
78.00 |
84.00 |
94.00 |
15.00 |
57.00 |
47.00 |
84.00 |
76.00 |
74.00 |
36.00 |
52.00 |
43.00 |
192.00 |
|
Na |
188.00 |
217.50 |
197.75 |
146.00 |
71.50 |
71.50 |
65.00 |
229.50 |
145.50 |
126.25 |
180.25 |
52.00 |
421.75 |
|
Cl |
290.00 |
335.00 |
304.50 |
225.00 |
110.00 |
110.00 |
100.00 |
354.00 |
224.00 |
194.75 |
277.75 |
80.00 |
645.00 |
|
SO4 |
43.00 |
71.00 |
12.00 |
17.00 |
22.00 |
20.00 |
71.00 |
37.00 |
44.00 |
59.00 |
29.00 |
33.00 |
127.00 |
|
CO3 |
174.00 |
11.00 |
214.00 |
11.00 |
32.00 |
21.00 |
8.00 |
131.00 |
38.00 |
6.00 |
18.00 |
17.00 |
107.00 |
|
HCO3 |
390.00 |
340.00 |
537.75 |
275.00 |
335.00 |
325.00 |
350.00 |
435.50 |
396.00 |
195.00 |
390.00 |
390.00 |
612.50 |
|
F |
0.29 |
0.86 |
0.48 |
0.30 |
0.60 |
0.38 |
0.60 |
0.64 |
0.98 |
0.92 |
1.10 |
1.19 |
0.64 |
|
TA |
410.00 |
360.00 |
557.75 |
295.00 |
355.00 |
345.00 |
370.00 |
455.50 |
416.00 |
215.00 |
410.00 |
410.00 |
632.50 |
|
CCMEWQI |
64.49 |
69.46 |
47.02 |
81.08 |
75.45 |
80.50 |
81.33 |
52.57 |
71.10 |
80.39 |
71.89 |
76.34 |
38.42 |
|
QUALITY |
FAIR |
FAIR |
MAR |
GOOD |
FAIR |
GOOD |
GOOD |
MAR |
FAIR |
GOOD |
FAIR |
FAIR |
POOR |
|
TMWQI |
27.22 |
65.86 |
46.21 |
27.37 |
50.08 |
31.49 |
43.65 |
50.11 |
68.45 |
66.81 |
79.90 |
81.44 |
50.92 |
|
QUALITY |
GOOD |
MED |
GOOD |
GOOD |
MED |
GOOD |
GOOD |
MED |
MED |
MED |
POOR |
POOR |
MED |
|
Sample ID→ Parameters↓ |
MS14 |
MS15 |
MS16 |
MS17 |
MS18 |
MS19 |
MS20 |
MS21 |
MS22 |
MS23 |
MS24 |
MS25 |
MS26 |
|
pH |
7.40 |
7.29 |
7.29 |
6.93 |
7.32 |
7.26 |
7.35 |
7.44 |
7.25 |
7.57 |
7.50 |
7.43 |
7.38 |
|
EC |
2185.8 |
2758.0 |
3162.5 |
1969.8 |
1462.0 |
1980.3 |
1132.0 |
1704.0 |
1665.5 |
1176.8 |
938.3 |
1461.8 |
2082.3 |
|
TDS |
1417.8 |
1784.5 |
2044.0 |
1280.0 |
955.0 |
1287.0 |
744.0 |
1111.3 |
1085.5 |
772.8 |
620.0 |
955.0 |
1352.0 |
|
NO3 |
16.00 |
57.00 |
51.00 |
42.95 |
24.73 |
44.00 |
16.00 |
20.30 |
18.00 |
9.23 |
20.50 |
23.00 |
16.40 |
|
TH |
400.00 |
575.00 |
915.00 |
488.25 |
452.25 |
560.00 |
305.00 |
495.50 |
396.50 |
384.50 |
210.00 |
395.00 |
600.00 |
|
Ca |
48.00 |
371.00 |
261.00 |
107.00 |
128.00 |
144.00 |
57.00 |
62.00 |
63.00 |
52.00 |
38.00 |
31.00 |
56.00 |
|
Mg |
68.00 |
198.00 |
61.00 |
53.00 |
32.00 |
49.00 |
37.00 |
82.00 |
57.00 |
89.00 |
26.00 |
77.00 |
90.00 |
|
Na |
147.75 |
437.50 |
288.50 |
287.50 |
97.25 |
244.00 |
74.75 |
142.75 |
107.25 |
93.75 |
58.50 |
71.75 |
195.00 |
|
Cl |
227.25 |
675.00 |
445.00 |
442.25 |
150.00 |
375.50 |
115.00 |
220.00 |
165.00 |
144.50 |
90.00 |
110.00 |
300.00 |
|
SO4 |
15.00 |
169.00 |
55.00 |
47.00 |
28.00 |
56.00 |
13.00 |
20.00 |
51.00 |
73.00 |
13.00 |
13.00 |
58.00 |
|
CO3 |
10.00 |
502.00 |
97.00 |
5.00 |
31.00 |
51.25 |
13.00 |
25.00 |
11.00 |
32.00 |
10.00 |
9.00 |
8.00 |
|
HCO3 |
393.75 |
580.00 |
682.50 |
404.75 |
392.50 |
400.00 |
280.00 |
443.25 |
335.00 |
382.25 |
193.75 |
410.25 |
482.25 |
|
F |
1.27 |
1.40 |
0.95 |
0.66 |
1.40 |
0.59 |
0.82 |
0.62 |
0.63 |
0.76 |
0.26 |
0.61 |
0.61 |
|
TA |
413.75 |
600.00 |
702.50 |
424.75 |
412.50 |
420.00 |
300.00 |
466.50 |
355.00 |
402.25 |
213.75 |
430.25 |
502.25 |
|
CCMEWQI |
73.76 |
20.55 |
36.51 |
67.70 |
70.41 |
56.61 |
82.18 |
79.91 |
80.76 |
75.98 |
89.03 |
80.82 |
67.89 |
|
QUALITY |
FAIR |
POOR |
POOR |
FAIR |
FAIR |
MAR |
GOOD |
GOOD |
GOOD |
FAIR |
GOOD |
GOOD |
FAIR |
|
TMWQI |
83.45 |
105.11 |
71.87 |
41.28 |
91.53 |
46.72 |
46.04 |
49.30 |
45.39 |
59.22 |
23.59 |
46.49 |
46.40 |
|
QUALITY |
POOR |
UNS |
MED |
GOOD |
POOR |
GOOD |
GOOD |
GOOD |
GOOD |
MED |
EXC |
GOOD |
GOOD |
|
Sample ID→ Parameters↓ |
MS27 |
MS28 |
MS29 |
MS30 |
MS31 |
MS32 |
MS33 |
MS34 |
MS35 |
MS36 |
MS37 |
MS38 |
Permissible values (Si) |
|
pH |
7.39 |
7.43 |
7.36 |
7.28 |
7.38 |
7.39 |
7.57 |
7.32 |
7.61 |
7.26 |
7.38 |
7.70 |
8.5 |
|
EC |
1636.3 |
1219.8 |
1725.8 |
1280.5 |
1197.5 |
1838.3 |
1121.3 |
1434.0 |
1893.0 |
628.3 |
1742.3 |
1824.3 |
1000 |
|
TDS |
1067.0 |
800.0 |
1124.0 |
839.0 |
785.5 |
1196.0 |
737.0 |
937.0 |
1231.0 |
421.5 |
1134.8 |
1187.0 |
600 |
|
NO3 |
16.00 |
12.00 |
36.00 |
16.00 |
22.00 |
32.00 |
37.00 |
2.95 |
13.50 |
12.00 |
24.00 |
22.00 |
50 |
|
TH |
435.00 |
300.00 |
550.00 |
315.00 |
275.00 |
485.00 |
195.00 |
416.00 |
525.00 |
145.00 |
445.00 |
475.00 |
500 |
|
Ca |
63.00 |
122.00 |
121.00 |
79.00 |
63.00 |
33.00 |
47.00 |
144.00 |
49.00 |
38.00 |
65.00 |
63.00 |
200 |
|
Mg |
67.00 |
6.00 |
57.00 |
28.00 |
28.00 |
95.00 |
18.00 |
66.00 |
95.00 |
13.00 |
66.00 |
77.00 |
150 |
|
Na |
71.50 |
159.25 |
110.25 |
71.50 |
71.50 |
71.50 |
107.00 |
134.75 |
71.75 |
52.00 |
68.50 |
71.50 |
200 |
|
Cl |
110.00 |
245.00 |
170.00 |
110.00 |
110.00 |
110.00 |
165.00 |
207.75 |
110.00 |
80.00 |
105.00 |
110.00 |
250 |
|
SO4 |
18.00 |
30.00 |
37.00 |
20.00 |
16.00 |
34.00 |
18.00 |
6.00 |
21.00 |
5.00 |
20.00 |
16.00 |
250 |
|
CO3 |
22.00 |
10.00 |
61.00 |
30.00 |
27.00 |
33.00 |
7.00 |
147.00 |
61.00 |
25.00 |
29.00 |
44.00 |
30 |
|
HCO3 |
412.50 |
287.50 |
410.25 |
258.75 |
222.50 |
410.25 |
170.00 |
372.25 |
420.00 |
108.75 |
390.00 |
410.00 |
500 |
|
F |
0.41 |
0.30 |
0.32 |
0.56 |
0.55 |
0.80 |
0.32 |
0.29 |
0.60 |
0.02 |
0.46 |
0.66 |
1.2 |
|
TA |
432.50 |
307.50 |
430.25 |
278.75 |
242.50 |
430.25 |
190.00 |
392.25 |
440.00 |
128.75 |
410.00 |
430.00 |
200 |
|
CCMEWQI |
80.34 |
82.01 |
68.26 |
78.35 |
82.28 |
74.45 |
88.25 |
71.12 |
67.91 |
100.00 |
80.19 |
74.06 |
|
|
QUALITY |
GOOD |
GOOD |
FAIR |
FAIR |
GOOD |
FAIR |
GOOD |
FAIR |
FAIR |
EXC |
GOOD |
FAIR |
|
|
TMWQI |
34.35 |
26.04 |
29.59 |
42.54 |
43.31 |
60.27 |
28.36 |
26.29 |
50.55 |
2.81 |
38.18 |
55.32 |
|
|
QUALITY |
GOOD |
GOOD |
GOOD |
GOOD |
GOOD |
MED |
GOOD |
GOOD |
MED |
EXC |
GOOD |
MED |
|
Table 7: Correlation Matrix of physical and chemical parameters and water quality indices during post monsoon (n=38)
|
|
pH |
EC |
TDS |
NO3 |
TH |
Ca |
Mg |
Na |
Cl |
SO4 |
CO3 |
HCO3 |
F |
TA |
CCME - WQI |
TM - WQI |
|
pH |
1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
EC |
-0.140 |
1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
TDS |
-0.141 |
1.000 |
1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
NO3 |
-0.181 |
0.299 |
0.299 |
1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
TH |
-0.261 |
0.845 |
0.845 |
0.363 |
1 |
|
|
|
|
|
|
|
|
|
|
|
|
Ca |
-0.254 |
0.371 |
0.371 |
0.568 |
0.498 |
1 |
|
|
|
|
|
|
|
|
|
|
|
Mg |
-0.115 |
0.660 |
0.660 |
0.285 |
0.652 |
0.369 |
1 |
|
|
|
|
|
|
|
|
|
|
Na |
-0.296 |
0.751 |
0.751 |
0.520 |
0.672 |
0.663 |
0.637 |
1 |
|
|
|
|
|
|
|
|
|
Cl |
-0.295 |
0.749 |
0.749 |
0.521 |
0.671 |
0.665 |
0.637 |
1 |
1 |
|
|
|
|
|
|
|
|
SO4 |
-0.214 |
0.576 |
0.576 |
0.431 |
0.461 |
0.449 |
0.750 |
0.757 |
0.757 |
1 |
|
|
|
|
|
|
|
CO3 |
-0.140 |
0.360 |
0.361 |
0.423 |
0.394 |
0.853 |
0.653 |
0.626 |
0.626 |
0.578 |
1 |
|
|
|
|
|
|
HCO3 |
-0.212 |
0.725 |
0.725 |
0.456 |
0.916 |
0.579 |
0.736 |
0.641 |
0.641 |
0.498 |
0.504 |
1 |
|
|
|
|
|
F |
0.019 |
0.364 |
0.364 |
0.270 |
0.286 |
0.265 |
0.348 |
0.299 |
0.300 |
0.426 |
0.229 |
0.420 |
1 |
|
|
|
|
TA |
-0.229 |
0.737 |
0.737 |
0.479 |
0.917 |
0.586 |
0.720 |
0.647 |
0.647 |
0.474 |
0.506 |
0.993 |
0.412 |
1 |
|
|
|
CCME - WQI |
0.255 |
-0.393 |
-0.393 |
-0.321 |
-0.438 |
-0.562 |
-0.410 |
-0.570 |
-0.570 |
-0.416 |
-0.589 |
-0.378 |
-0.060 |
-0.384 |
1 |
|
|
TM - WQI |
0.112 |
0.428 |
0.428 |
0.317 |
0.357 |
0.333 |
0.436 |
0.350 |
0.351 |
0.479 |
0.320 |
0.497 |
0.980 |
0.486 |
-0.103 |
1 |
Correlation Matrix of physical and chemical parameters and water quality indices during pre monsoon (n=38)
|
|
pH |
EC |
TDS |
NO3 |
TH |
Ca |
Mg |
Na |
Cl |
SO4 |
CO3 |
HCO3 |
F |
TA |
CCME - WQI |
TM - WQI |
|
pH |
1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
EC |
-0.093 |
1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
TDS |
-0.093 |
1.000 |
1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
NO3 |
-0.162 |
0.297 |
0.296 |
1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
TH |
-0.223 |
0.845 |
0.845 |
0.363 |
1 |
|
|
|
|
|
|
|
|
|
|
|
|
Ca |
-0.199 |
0.370 |
0.369 |
0.568 |
0.498 |
1 |
|
|
|
|
|
|
|
|
|
|
|
Mg |
-0.094 |
0.659 |
0.659 |
0.285 |
0.651 |
0.369 |
1 |
|
|
|
|
|
|
|
|
|
|
Na |
-0.269 |
0.750 |
0.750 |
0.520 |
0.673 |
0.661 |
0.637 |
1 |
|
|
|
|
|
|
|
|
|
Cl |
-0.271 |
0.749 |
0.749 |
0.521 |
0.672 |
0.663 |
0.636 |
1 |
1 |
|
|
|
|
|
|
|
|
SO4 |
-0.144 |
0.579 |
0.578 |
0.435 |
0.463 |
0.446 |
0.748 |
0.758 |
0.757 |
1 |
|
|
|
|
|
|
|
CO3 |
-0.098 |
0.360 |
0.359 |
0.422 |
0.393 |
0.853 |
0.653 |
0.625 |
0.626 |
0.574 |
1 |
|
|
|
|
|
|
HCO3 |
-0.178 |
0.722 |
0.722 |
0.456 |
0.914 |
0.583 |
0.737 |
0.638 |
0.638 |
0.499 |
0.509 |
1 |
|
|
|
|
|
F |
0.060 |
0.355 |
0.356 |
0.276 |
0.278 |
0.254 |
0.340 |
0.288 |
0.287 |
0.420 |
0.215 |
0.420 |
1 |
|
|
|
|
TA |
-0.178 |
0.722 |
0.722 |
0.456 |
0.914 |
0.583 |
0.737 |
0.638 |
0.638 |
0.499 |
0.509 |
1.000 |
0.420 |
1 |
|
|
|
CCME - WQI |
0.252 |
-0.399 |
-0.398 |
-0.317 |
-0.439 |
-0.561 |
-0.415 |
-0.575 |
-0.575 |
-0.415 |
-0.589 |
-0.378 |
-0.044 |
-0.378 |
1 |
|
|
TM - WQI |
0.169 |
0.419 |
0.420 |
0.352 |
0.349 |
0.336 |
0.421 |
0.356 |
0.355 |
0.475 |
0.310 |
0.499 |
0.975 |
0.499 |
-0.097 |
1 |
CONCLUSIONS:
1. Based on CCME-WQI analysis, the results indicated that the water samples at 6 sampling stations (CS3, CS8, CS13, CS15, CS16 and CS19) out of 38 (about 15.79%) of the study area do not meet the required standards for drinking purpose as they were ranked as poor and marginal.
2. Based on TM-WQI analysis, the results indicated that the water samples collected from 6 sampling stations (CS11, CS12, CS14, CS15, CS16 and CS18) (about 15.79% ) of the study area do not meet the required standards for drinking purpose as their status was classified under unsuitable and poor category .
3. Based on correlation analysis, it may be concluded that total dissolved solid and electrical conductivity are important water quality parameters as they are significantly correlated with most of the remaining parameters.
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Received on 05.08.2021 Modified on 23.11.2021 Accepted on 10.01.2022 ฉA&V Publications All right reserved Research J. Science and Tech. 2022; 14(1):1-9. DOI: 10.52711/2349-2988.2022.00001 |
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