Abstract
In the present study, hydro-geochemical characteristics of groundwater samples collected from South West Delhi, India, have been assessed. 50 sampling locations were recorded with the help of global positioning system, to assess the groundwater quality and evaluate the corrosion and scaling potential. Hydro-geochemical characterization for different parameters such as pH, temperature (T), electrical conductivity (EC), total dissolved solids (TDS), salinity (SA), total hardness (TH), total alkalinity (), levels of anions such as calcium (Ca+2), magnesium (Mg+2), sodium (Na+), potassium (K+) and cations which include chloride (Cl-), Flouride (F-), sulfates (), Nitrates () was done using standard APHA methods. The corrosion and scaling potential of groundwater was evaluated by five stability indices: Langelier saturation index (LSI), Ryznar stability index (RSI), Aggressive index (AI), Learson–Skold index (Ls) and Puckorius scaling index (PSI). The dataset classified groundwater as polluted and this indicates that the water is not safe for domestic, agricultural and industrial usage and will need further treatment. This dataset is beneficial for policymakers, and researchers in the field of water purification, quality management and in preventing the economic and safety concerns related to corrosion and scaling of groundwater.
Keywords: Groundwater, Hydro-geochemical, Corrosion, Scaling, Water stability index, Delhi
Specifications Table
| Subject area | Environmental Science |
| More specific subject area | Groundwater study |
| Type of data | Table and Figure |
| How data was acquired | Water analysis kit via NPC363D, India, UV–vis Double Beam spectrophotometer (Hitachi U-2900, India), Flame photometer (Toshniwal TMF-45, India). |
| Data format | Raw, analyzed |
| Experimental factor | Groundwater samples from 50 different areas of South-West Delhi, India were collected from sources such as bore-wells, private and government hand pumps in the year 2016–17. All sampling sites were selected with a view to cover the entire area of the study area. |
| Experimental features | Determination of hydro-geochemical parameters that represent the contamination of the studied groundwater samples. |
| Data source location | South-West Delhi, New Delhi, India |
| Data accessibility | This article contains corrosion and scaling potential dataset. |
Value of the data
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•
Determination of hydro-geochemical characterization such, T (°C), EC (µS/cm), pH TDS, SA, TH, , Ca+2, Mg+2, Na+, K+ , F−, Cl−, and (all values in mg/L except pH) in 50 groundwater samples of South West Delhi, India.
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•
The chemistry of groundwater is an important factor determining its use for domestic, irrigation and industrial purposes. Due to limited literature available for the study area, this data can help to better understand the quality of groundwater and provide information for further studies in the field of purification and better water quality management.
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•
The occurrence of scaling and corrosion may create staining and blocking of piping systems leading to economic and safety problems. In addition, corrosion products contaminate the water resulting in health problems. Therefore, corrosion control is an important aspect of safe drinking water supplies.
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Corrosion indices calculated are important in the monitoring of water supply distribution networks.
1. Data
This dataset contains 5 Tables and 6 Figures that represent quality as well as corrosion and scaling potential of groundwater of the South West Delhi, India. Fig. 1 shows the sampling points of the study area. Table 1 shows the hydro-geochemical characterization including pH, T, EC, TDS, SA, TH, , Ca+2, Mg+2, Na+, K+, Cl−, F−, , determined using APHA method [1]. The statistical parameters (minimum, maximum, mean and standard deviation) of hydro-geochemical parameters and limits prescribed by World health organization (WHO [2]) and Bureau of Indian Standards (BIS [3]) are tabulated in Table 2 [2], [3]. Criteria and summary of water stability indices are shown in Tables 3 and 4, respectively. Table 5 shows the result obtained by LSI, RSI, PSI, LS, AI analysis of the studied area (Fig. 2, Fig. 3, Fig. 4, Fig. 5, Fig. 6).
Fig. 1.
Sampling points of the study area.
Table 1.
Hydro-geochemical characterization of 50 groundwater samples of South West Delhi, India.
| Sample numbers | Temp (°C) | pH | EC (µS/cm) | TDS (mg/L) | Salinity (mg/L) | Hardness (mg/L) | Sodium (mg/L) | Potassium (mg/L) | Calcium (mg/L) | Magnesium (mg/L) | Nitrate (mg/L) | Fluoride (mg/L) | Sulphate (mg/L) | Chloride (mg/L) | Alkalinity (mg/L) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| S1 | 27.5 | 7.18 | 5070 | 2535 | 4910 | 1336 | 514 | 8 | 201.8 | 200.13 | 1.32 | 1.2 | 100 | 321.5 | 265 |
| S2 | 27.5 | 6.51 | 11,290 | 5645 | 10,190 | 4310 | 650 | 28 | 943.9 | 418.38 | 0.122 | 1 | 120 | 501.5 | 330 |
| S3 | 26 | 6.92 | 3450 | 1725 | 2415 | 487 | 334 | 12 | 124.67 | 45.8 | 0.135 | 0.72 | 71 | 456.7 | 234 |
| S4 | 27 | 7.24 | 2600 | 1300 | 1820 | 480 | 256 | 3 | 60.9 | 40.9 | 1.67 | 0.44 | 59 | 421 | 200 |
| S5 | 26.5 | 7.35 | 2460 | 1230 | 1722 | 510 | 200 | 19 | 77.5 | 61.5 | 3.9 | 0.65 | 47 | 112.2 | 110 |
| S6 | 27.5 | 7.16 | 1600 | 800 | 1120 | 150 | 139 | 7 | 23.8 | 20.7 | 2.9 | 0.78 | 38 | 100.9 | 100 |
| S7 | 26.9 | 7.35 | 1800 | 900 | 1260 | 510 | 154 | 11 | 81.7 | 56.5 | 0.622 | 0.35 | 44 | 154.7 | 121 |
| S8 | 27 | 6.96 | 2389 | 1194.5 | 1672.3 | 966 | 187 | 10 | 98 | 39.9 | 8.98 | 0.67 | 56 | 76.8 | 143 |
| S9 | 27.5 | 7.45 | 3406 | 1703 | 2384.2 | 146 | 200 | 11 | 39.08 | 19.52 | 1.136 | 0.57 | 71 | 160.4 | 144 |
| S10 | 27.5 | 7.05 | 8030 | 4015 | 5621 | 2141.4 | 245 | 6 | 410.58 | 242.87 | 1.896 | 0.76 | 110 | 2506.9 | 264 |
| S11 | 27.7 | 7.52 | 1600 | 800 | 1120 | 206 | 178 | 6 | 34.48 | 35.81 | 21.194 | 0.98 | 42 | 176.2 | 345 |
| S12 | 27.8 | 7.39 | 4320 | 2160 | 3024 | 526 | 213 | 11 | 89.19 | 59.22 | 0.234 | 0.57 | 98 | 638.4 | 480 |
| S13 | 27.1 | 7.96 | 7540 | 3770 | 5278 | 2078 | 230 | 13 | 320.64 | 301.94 | 0.023 | 1.9 | 132 | 1439.5 | 345 |
| S14 | 27.1 | 7.8 | 6500 | 3250 | 4550 | 2306 | 213 | 6 | 416.83 | 336.29 | 0.647 | 1.5 | 128 | 3061.45 | 460 |
| S15 | 27 | 6.89 | 726 | 363 | 508.2 | 124 | 27 | 7 | 43.06 | 22.18 | 43 | 1.1 | 0 | 87.53 | 155 |
| S16 | 27.1 | 7.49 | 340 | 170 | 238 | 860 | 24 | 8 | 204.37 | 106.92 | 1.818 | 0.33 | 0 | 728.4 | 315 |
| S17 | 27 | 6.98 | 2680 | 1340 | 1876 | 484 | 120 | 11 | 77.53 | 75.94 | 2.878 | 0.62 | 87 | 375.8 | 315 |
| S18 | 27.3 | 7.16 | 15,780 | 7890 | 11,046 | 3738 | 780 | 35 | 598.2 | 520.98 | 2.197 | 1.9 | 240 | 4678 | 220 |
| S19 | 27.3 | 7.6 | 2690 | 1345 | 1883 | 167.32 | 165 | 12 | 44.05 | 28.11 | 1.214 | 0.9 | 89 | 306.63 | 405 |
| S20 | 27.3 | 7.89 | 1658 | 829 | 1160.6 | 183 | 49 | 9 | 41.06 | 22.16 | 0.338 | 0.34 | 0 | 203.8 | 460 |
| S21 | 27.3 | 7.58 | 1130 | 565 | 791 | 403 | 23 | 7 | 88.26 | 32.52 | 0.139 | 0.5 | 7 | 189.05 | 360 |
| S22 | 27.3 | 7.55 | 8720 | 4360 | 6104 | 2203 | 197 | 27 | 402.75 | 336.39 | 2.945 | 0.7 | 120 | 1785 | 370 |
| S23 | 27.2 | 7.87 | 5220 | 2610 | 3654 | 1803 | 164 | 12 | 361.75 | 219.83 | 2.308 | 0.7 | 108 | 1652.5 | 385 |
| S24 | 27.3 | 7.14 | 5500 | 2750 | 3850 | 1146.66 | 123 | 14 | 182.46 | 132.12 | 0.538 | 1 | 112 | 1692.8 | 250 |
| S25 | 27.3 | 7.69 | 659 | 329.5 | 461.3 | 120 | 23 | 13 | 45.06 | 23.52 | 0.195 | 0.4 | 23 | 90.3 | 425 |
| S26 | 27.2 | 7.17 | 2867 | 1433.5 | 2006.9 | 180 | 54 | 11 | 34.05 | 30.11 | 20.75 | 0.9 | 39 | 387.1 | 365 |
| S27 | 27.3 | 6.78 | 2230 | 1115 | 1561 | 813.33 | 45 | 7 | 212.38 | 96.49 | 1.271 | 0.8 | 22 | 637.4 | 460 |
| S28 | 27.2 | 7.59 | 4970 | 2485 | 3479 | 1146 | 153 | 13 | 198.76 | 176.41 | 1.412 | 0.6 | 47 | 1180.8 | 445 |
| S29 | 27 | 7.69 | 518 | 259 | 362.6 | 170.67 | 23 | 1 | 39.06 | 22.1 | 0.549 | 0.56 | 32 | 356 | 360 |
| S30 | 27.5 | 6.9 | 4659 | 2329.5 | 3261.3 | 1054 | 200 | 11 | 165.45 | 81.7 | 27.6 | 0.67 | 106 | 678.97 | 445 |
| S31 | 27.5 | 7.7 | 2870 | 1435 | 2009 | 991 | 69 | 8 | 108.98 | 41.75 | 1.62 | 0.45 | 23 | 556.9 | 345 |
| S32 | 27.5 | 8 | 2560 | 1280 | 1792 | 980 | 58 | 7 | 89 | 42.89 | 0.686 | 0.78 | 45 | 539.97 | 340 |
| S33 | 27.5 | 7.45 | 4987 | 2493.5 | 3490.9 | 2156 | 184 | 16 | 445.67 | 328 | 3.86 | 0.6 | 78 | 835.98 | 443 |
| S34 | 27.5 | 8.2 | 2831 | 1415.5 | 1981.7 | 1105 | 89 | 9 | 208.76 | 109.25 | 18.84 | 0.8 | 63 | 880.8 | 434 |
| S35 | 27.7 | 7.4 | 6720 | 3360 | 4704 | 872 | 260 | 21 | 89.19 | 42.5 | 21.38 | 0.45 | 134 | 545.61 | 345 |
| S36 | 27.8 | 7.52 | 4130 | 2065 | 2891 | 1083 | 179 | 14 | 187.88 | 89.64 | 25.28 | 0 | 257 | 809.9 | 434 |
| S37 | 27.1 | 7.67 | 2600 | 1300 | 1820 | 428 | 47 | 9 | 60.6 | 36.26 | 1.97 | 0 | 167 | 313.95 | 375.6 |
| S38 | 25.1 | 7.38 | 2500 | 1250 | 1750 | 456 | 156 | 10 | 57.5 | 28.76 | 14.14 | 0.12 | 234 | 309.87 | 435.5 |
| S39 | 26.4 | 7.65 | 6540 | 3270 | 4578 | 1884 | 356 | 23 | 209.5 | 157.38 | 23.98 | 0.56 | 345 | 910.18 | 880.75 |
| S40 | 27.1 | 7.54 | 2610 | 1305 | 1827 | 458 | 162 | 12 | 68.34 | 32.15 | 20.47 | 0.3 | 53 | 420 | 417.67 |
| S41 | 27.4 | 7.98 | 4680 | 2340 | 3276 | 762 | 175 | 14 | 88.97 | 59.76 | 12.79 | 0.3 | 200 | 489 | 405.56 |
| S42 | 27.5 | 6.86 | 2430 | 1215 | 1701 | 418 | 120 | 10 | 54.5 | 23.45 | 1.214 | 0.56 | 78 | 367.17 | 276.45 |
| S43 | 27.1 | 7.68 | 1718 | 859 | 1202.6 | 457 | 79 | 11 | 62.9 | 31.78 | 30.38 | 0.89 | 65 | 367 | 218.32 |
| S44 | 27.2 | 7.98 | 5554 | 2777 | 3887.8 | 1732 | 230 | 17 | 252.55 | 186.6 | 34.39 | 0.56 | 268 | 719.67 | 506.45 |
| S45 | 27.3 | 7.9 | 4620 | 2310 | 3234 | 1246 | 175 | 13 | 176.69 | 120.66 | 28.45 | 0.76 | 32 | 726.9 | 418.34 |
| S46 | 27.2 | 8.25 | 4540 | 2270 | 3178 | 737 | 158 | 14 | 78.8 | 68.76 | 18.37 | 0.7 | 46 | 467.87 | 674.56 |
| S47 | 27.1 | 7.22 | 3383 | 1691.5 | 2368.1 | 1401 | 100 | 10 | 209.16 | 145.35 | 32.84 | 0.8 | 54 | 801.98 | 534.54 |
| S48 | 27.5 | 8.06 | 6978 | 3489 | 4884.6 | 2064 | 198 | 26 | 310.35 | 287.95 | 23.28 | 0.9 | 67 | 719.5 | 410.56 |
| S49 | 27.3 | 8.5 | 5670 | 2835 | 3969 | 1592 | 210 | 18 | 178.09 | 146.87 | 15.8 | 0.46 | 118 | 639.98 | 410.75 |
| S50 | 27.5 | 7.6 | 4925 | 2462.5 | 3447.5 | 1537 | 154 | 11 | 168.56 | 120.55 | 13.6 | 0.56 | 135 | 665.76 | 323.15 |
Table 2.
| Parameter | Mean | Min | Max | St.dev | WHO standards | BIS standards |
|---|---|---|---|---|---|---|
| Temp (°C) | 27.21 | 25.1 | 27.8 | 0.4 | – | – |
| pH | 7.49 | 6.51 | 8.5 | 2849.2 | 6.5–8.5 | 6.5–8.5 |
| EC (µs/cm) | 4104.96 | 340 | 15,780 | 1424.6 | 1500 | – |
| TDS (mg/L) | 2052.48 | 170 | 7890 | 2150.3 | 500 | 500 |
| Salinity (mg/L) | 2946.43 | 238 | 11,046 | 895.3 | – | – |
| Hardness (mg/L) | 1062.15 | 120 | 4310 | 895.6 | 450 | 300 |
| Sodium (mg/L) | 180.84 | 23 | 780 | 145.1 | 200 | 200 |
| Potassium (mg/L) | 12.44 | 1 | 35 | 6.5 | 12 | – |
| Calcium (mg/L) | 175.35 | 23.8 | 943.9 | 170.9 | 75 | 75 |
| Magnesium (mg/L) | 118.15 | 19.52 | 520.98 | 117.6 | 50 | 30 |
| Nitrate (mg/L) | 9.95 | 0.023 | 43 | 11.8 | 45 | 45 |
| Fluoride (mg/L) | 0.69 | 0 | 1.9 | 0.4 | 1.5 | 1 |
| Sulphate (mg/L) | 92.20 | 0 | 345 | 74.7 | 250 | 200 |
| Chlorides (mg/L) | 744.92 | 76.8 | 4678 | 824.6 | 250 | 250 |
| Alkalinity (mg/L) | 358.10 | 100 | 880.75 | 141.0 | 500 | 200 |
Table 3.
| Index | Equation | Index value | Condition |
|---|---|---|---|
| Langelier Saturation Index (LSI) | LSI=pH−pHs | LSI<0 | No potential to scale, water will dissolve CaCO3 |
| pHs=(9.3+A+B)−(C+D) | LSI>0 | Scale can form, CaCO3 precipitation may occur | |
| where: | LSI=0 | Borderline scale potential | |
| A=(Log10[TDS]−1)/10 | |||
| B=−13.12×Log10(°C+273)+34.55 | |||
| C=Log10[Ca2+ as CaCO3]−0.4 | |||
| D=Log10[alkalinity as CaCO3] | |||
| Ryznar Stability Index (RSI) | RSI=2(pHs)−pH | RSI<6 | Scale tendency increases as the index decreases |
| RSI>7 | Calcium carbonate formation probably does not lead to a protective corrosion inhibitor film | ||
| RSI>8 | Mild steel corrosion becomes an increasing problem. | ||
| Puckorius Scaling Index (PSI) | PSI=2 (pHs)−pHeq | PSI<6 | Scaling is unlikely to occur |
| Where: | PSI>7 | Likely to dissolve scale | |
| pHeq=1.465×Log10[Alkalinity]+4.54 | |||
| Alkalinity= [ ]+2 [ ]+[OH−] | |||
| Larson-skold index(Ls) | Ls=(Cl–+)/(+) | Ls<0.8 | Chlorides and sulfate unlikely to interfere with natural film formation |
| 0.8<Ls<1.2 | Chlorides and sulfates may interfere with natural film formation. | ||
| Ls >1.2 | High local corrosion tendency expected as the index increases | ||
| Aggressive index(AI) | AI=pH+Log10[(Alkalinity)(H)] | AI>12 | Non aggressive |
| Where H=Calcium hardness mg/L | 10<AI<12 | Moderately aggressive | |
| AI<10 | Very aggressive |
Table 4.
Summary of water stability indices in the present study.
| Sample numbers | LSI | RSI | PSI | Ls | AI |
|---|---|---|---|---|---|
| S1 | −0.07 | 7.33 | 6.42 | 1.59 | 11.91 |
| S2 | −0.01 | 6.53 | 4.82 | 1.88 | 12.00 |
| S3 | −0.61 | 8.14 | 7.04 | 2.26 | 11.38 |
| S4 | −0.64 | 8.51 | 7.84 | 2.40 | 11.33 |
| S5 | −0.69 | 8.73 | 8.55 | 1.45 | 11.28 |
| S6 | −1.39 | 9.95 | 9.64 | 1.39 | 10.54 |
| S7 | −0.60 | 8.55 | 8.31 | 1.64 | 11.35 |
| S8 | −0.85 | 8.66 | 7.93 | 0.93 | 11.11 |
| S9 | −0.76 | 8.98 | 8.72 | 1.61 | 11.20 |
| S10 | 0.08 | 6.88 | 5.84 | 9.91 | 12.09 |
| S11 | −0.33 | 8.18 | 7.45 | 0.63 | 11.60 |
| S12 | 0.05 | 7.28 | 6.21 | 1.53 | 12.02 |
| S13 | 1.00 | 5.96 | 5.67 | 4.56 | 13.00 |
| S14 | 1.08 | 5.63 | 4.99 | 6.93 | 13.08 |
| S15 | −1.19 | 9.27 | 8.41 | 0.56 | 10.71 |
| S16 | 0.43 | 6.64 | 5.93 | 2.31 | 12.30 |
| S17 | −0.60 | 8.17 | 6.95 | 1.47 | 11.37 |
| S18 | 0.25 | 6.67 | 5.86 | 22.35 | 12.28 |
| S19 | −0.11 | 7.81 | 7.05 | 0.98 | 11.85 |
| S20 | 0.23 | 7.43 | 6.88 | 0.44 | 12.17 |
| S21 | 0.16 | 7.26 | 6.55 | 0.54 | 12.08 |
| S22 | 0.71 | 6.12 | 5.37 | 5.15 | 12.72 |
| S23 | 1.03 | 5.82 | 5.36 | 4.57 | 13.01 |
| S24 | −0.19 | 7.52 | 6.61 | 7.22 | 11.80 |
| S25 | 0.08 | 7.54 | 6.84 | 0.27 | 11.97 |
| S26 | −0.70 | 8.57 | 7.44 | 1.17 | 11.26 |
| S27 | −0.18 | 7.14 | 5.48 | 1.43 | 11.77 |
| S28 | 0.55 | 6.49 | 5.66 | 2.76 | 12.54 |
| S29 | −0.05 | 7.80 | 7.20 | 1.08 | 11.84 |
| S30 | −0.21 | 7.32 | 5.80 | 1.76 | 11.77 |
| S31 | 0.32 | 7.06 | 6.50 | 1.68 | 12.28 |
| S32 | 0.53 | 6.94 | 6.69 | 1.72 | 12.48 |
| S33 | 0.77 | 5.92 | 4.95 | 2.06 | 12.75 |
| S34 | 1.20 | 5.80 | 5.59 | 2.17 | 13.16 |
| S35 | −0.10 | 7.60 | 6.74 | 1.97 | 11.89 |
| S36 | 0.46 | 6.59 | 5.71 | 2.46 | 12.43 |
| S37 | 0.07 | 7.53 | 6.89 | 1.28 | 12.03 |
| S38 | −0.22 | 7.81 | 6.79 | 1.25 | 11.78 |
| S39 | 0.90 | 5.84 | 4.64 | 1.43 | 12.92 |
| S40 | 0.04 | 7.47 | 6.63 | 1.13 | 12.00 |
| S41 | 0.56 | 6.86 | 6.48 | 1.70 | 12.54 |
| S42 | −0.91 | 8.68 | 7.43 | 1.61 | 11.04 |
| S43 | −0.12 | 7.93 | 7.64 | 1.98 | 11.82 |
| S44 | 1.10 | 5.79 | 5.27 | 1.95 | 13.09 |
| S45 | 0.79 | 6.32 | 5.84 | 1.81 | 12.77 |
| S46 | 0.99 | 6.26 | 5.83 | 0.76 | 12.98 |
| S47 | 0.30 | 6.63 | 5.31 | 1.60 | 12.27 |
| S48 | 1.17 | 5.72 | 5.41 | 1.92 | 13.17 |
| S49 | 1.37 | 5.75 | 5.88 | 1.85 | 13.36 |
| S50 | 0.36 | 6.89 | 6.27 | 2.48 | 12.34 |
Table 5.
Corrosion and scaling potential in the present study.
| Sample numbers | LSI | RSI | PSI | Ls | AI |
|---|---|---|---|---|---|
| S1 | Corrosive | Corrosive | Neutral | High corrosive | Mildly aggressive |
| S2 | Corrosive | Neutral | Scaling | High corrosive | Non aggressive |
| S3 | Corrosive | Corrosive | Corrosive | High corrosive | Mildly aggressive |
| S4 | Corrosive | Corrosive | Corrosive | High corrosive | Mildly aggressive |
| S5 | Corrosive | Corrosive | Corrosive | High corrosive | Mildly aggressive |
| S6 | Corrosive | Corrosive | Corrosive | High corrosive | Mildly aggressive |
| S7 | Corrosive | Corrosive | Corrosive | High corrosive | Mildly aggressive |
| S8 | Corrosive | Corrosive | Corrosive | Corrosion may occur | Mildly aggressive |
| S9 | Corrosive | Corrosive | Corrosive | High corrosive | Mildly aggressive |
| S10 | Scaling | Neutral | Scaling | High corrosive | Non aggressive |
| S11 | Corrosive | Corrosive | Corrosive | Non corrosive | Mildly aggressive |
| S12 | Scaling | Corrosive | Neutral | High corrosive | Non aggressive |
| S13 | Scaling | Scaling | Scaling | High corrosive | Non aggressive |
| S14 | Scaling | Scaling | Scaling | High corrosive | Non aggressive |
| S15 | Corrosive | Corrosive | Corrosive | Non corrosive | Mildly aggressive |
| S16 | Scaling | Neutral | Scaling | High corrosive | Non aggressive |
| S17 | Corrosive | Corrosive | Neutral | High corrosive | Mildly aggressive |
| S18 | Scaling | Neutral | Scaling | High corrosive | Non aggressive |
| S19 | Corrosive | Corrosive | Corrosive | Corrosion may occur | Mildly aggressive |
| S20 | Scaling | Corrosive | Neutral | Non corrosive | Non aggressive |
| S21 | Scaling | Corrosive | Neutral | Non corrosive | Non aggressive |
| S22 | Scaling | Neutral | Scaling | High corrosive | Non aggressive |
| S23 | Scaling | Scaling | Scaling | High corrosive | Non aggressive |
| S24 | Corrosive | Corrosive | Neutral | High corrosive | Mildly aggressive |
| S25 | Scaling | Corrosive | Neutral | Non corrosive | Mildly aggressive |
| S26 | Corrosive | Corrosive | Corrosive | Corrosion may occur | Mildly aggressive |
| S27 | Corrosive | Corrosive | Scaling | High corrosive | Mildly aggressive |
| S28 | Scaling | Neutral | Scaling | High corrosive | Non aggressive |
| S29 | Corrosive | Corrosive | Corrosive | Corrosion may occur | Mildly aggressive |
| S30 | Corrosive | Corrosive | Scaling | High corrosive | Mildly aggressive |
| S31 | Scaling | Corrosive | Neutral | High corrosive | Non aggressive |
| S32 | Scaling | Neutral | Neutral | High corrosive | Non aggressive |
| S33 | Scaling | Scaling | Scaling | High corrosive | Non aggressive |
| S34 | Scaling | Scaling | Scaling | High corrosive | Non aggressive |
| S35 | Corrosive | Corrosive | Neutral | High corrosive | Mildly aggressive |
| S36 | Scaling | Neutral | Scaling | High corrosive | Non aggressive |
| S37 | Scaling | Corrosive | Neutral | High corrosive | Non aggressive |
| S38 | Corrosive | Corrosive | Neutral | High corrosive | Mildly aggressive |
| S39 | Scaling | Scaling | Scaling | High corrosive | non aggressive |
| S40 | Scaling | Corrosive | Neutral | Corrosion may occur | Mildly aggressive |
| S41 | Scaling | Neutral | Neutral | High corrosive | Non aggressive |
| S42 | Corrosive | Corrosive | Corrosive | High corrosive | Mildly aggressive |
| S43 | Corrosive | Corrosive | Corrosive | High corrosive | Mildly aggressive |
| S44 | Scaling | Scaling | Scaling | High corrosive | Non aggressive |
| S45 | Scaling | Neutral | Scaling | High corrosive | Non aggressive |
| S46 | Scaling | Neutral | Scaling | Non corrosive | Non aggressive |
| S47 | Scaling | Neutral | Scaling | High corrosive | Non aggressive |
| S48 | Scaling | Scaling | Scaling | High corrosive | Non aggressive |
| S49 | Scaling | Scaling | Scaling | High corrosive | Non aggressive |
| S50 | Scaling | Neutral | Neutral | High corrosive | Non aggressive |
Fig. 2.
Langelier saturation index.
Fig. 3.
Ryznar stability index.
Fig. 4.
Aggressive index.
Fig. 5.
Learson–Skold index.
Fig. 6.
Puckorius scaling index.
2. Experimental design, materials, and methods
2.1. Study area description
The South West District of N.C.T. of Delhi is situated between latitude 28 40′ and 28 29′ and longitude between 76 50′ and 77 14′. The South West district has a varied character with Kapashera Sub Division as predominantly rural and the Dwarka Sub Division as mostly urban and Najafgarh Sub Divisions as a mix of both urban and rural population.
2.2. Sample collection and analytical procedures
The samples were collected in thoroughly cleaned 2 L capacity bottles and stored at a suitable temperature with necessary precautions till the analysis was done. All sampling sites were selected with a view to cover the entire area of study. Parameters such as pH, EC, SA, and TDS were measured in the field and crosschecked in the laboratory using water analysis kit (NPC 365, India). Other parameters such as TH, Ca+2, Mg+2 were measured by EDTA titrimetric method. Na+, K+ were measured using Flame photometer (Toshniwal TMF-45, India). Cl−1 contents were measured by ergonometric titration. F− was determined using SPANDS method, The concentration of and was determined using UV–vis Spectrophotometer (Hitachi U-2900, India) at wavelength 220 nm and 420 nm respectively.
Acknowledgments
The authors wish to acknowledge the financial support made by the Guru Gobind Singh Indraprastha University, New Delhi, India (grant number: GGSIPU/FRGS/1589) (Faculty Research Grant project 2016-17).
Footnotes
Supplementary data associated with this article can be found in the online version at 10.1016/j.dib.2018.03.120.
Transparency document. Supplementary material
Supplementary material
References
- 1.APHA, Standard Methods for the Examination of Water and Waste Water (APHA), 1995. [DOI] [PMC free article] [PubMed]
- 2.WHO. Guidelines for Drinking-water Quality [electronic resource incorporating first addendum] 2011.
- 3.BIS (Bureau of Indian Standards) 10500 Indian Standard Drinking Water Specification, 1991, pp. 1–8.
- 4.United States Environmental Protection Agency . United States Environmental Protection Agency (U.S. EPA); Washington, D.C: 1984. Corrosion Manual for Internal Corrosion of Water Distribution Systems. [Google Scholar]
- 5.Melidis P., Sanosidou M., Mandusa A., Ouzounis K. Corrosion control by using indirect methods. Desalination. 2007:152–158. [Google Scholar]
- 6.Shams M., Mohamadi A.A., Sajadi S.A. Evaluation of corrosion and scaling potential of water in rural water supply distribution networks of Tabas, Iran. World Appl. Sci. J. 2012;17:1484–1489. [Google Scholar]
- 7.Amouei A., Fallah H., Asgharnia H., Bour R., Mehdinia M. Evaluation of corrosion and scaling potential of drinking water resources in Noor city (Iran) by using stability indices. Koomesh. 2016;18:326–333. [Google Scholar]
- 8.Mirzabeygi M., Naji M., Yousefi N., Shams M., Biglari H., Mahvi A.H. Evaluation of corrosion and scaling tendency indices in water distribution system: a case study of Torbat Heydariye, Iran. Desalin. Water Treat. 2016;57(54):25918–25926. [Google Scholar]
- 9.Shams M., Mohamadi A.A., Sajadi S.A. Evaluation of corrosion and scaling potential of water in rural water supply distribution networks of Tabas, Iran. World Appl. Sci. J. 2012;17(11):1484–1489. [Google Scholar]
- 10.Yousefi M., Saleh H.N., Mahvi A.H., Alimohammadi M., Nabizadeh R., Mohammadi A.A. Data on corrosion and scaling potential of drinking water resources using stability indices in Jolfa, East Azerbaijan, Iran. Data Brief. 2018;16:724–731. doi: 10.1016/j.dib.2017.11.099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Abbasnia A., Alimohammadi M., Mahvi A.H., Nabizadeh R., Yousefi M., Mohammadi A.A., Pasalari H., Mirzabeigi M. Assessment of groundwater quality and evaluation of scaling and corrosiveness potential of drinking water samples in villages of Chabahr city, Sistan and Baluchistan province in Iran. Data Brief. 2018;16:182–192. doi: 10.1016/j.dib.2017.11.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
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