Data on Physicochemical Quality of Drinking Water in the Rural Area in Divandarreh County, Kurdistan, Iran
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Data in Brief 19 (2018) 1661–1669 Contents lists available at ScienceDirect Data in Brief journal homepage: www.elsevier.com/locate/dib Data Article Data on physicochemical quality of drinking water in the rural area in Divandarreh county, Kurdistan, Iran Afshin Maleki a, Bahram kamarehie b, Reza Rezaee a, Ali Jafari b, Yahya Zandsalami a,c, Pegah Bahmani a,c, Esmail Ghahramani a,n, Mohammad Amin Karami b,n a Environmental Health Research Center, Research Institute for Health Department, Kurdistan University of Medical Sciences, Sanandaj, Iran b Department of Environmental Health Engineering, Faculty of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran c Environmental Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran article info abstract Article history: Good quality of drinking water is very important in the main- Received 29 December 2017 tenance of human health. The gathered data from the present work Received in revised form was used to evaluate the quality of drinking water resources in the 17 June 2018 rural villages of Divandarreh, Iran. Physicochemical quality of water Accepted 19 June 2018 was determined by a collection of 35 random samples during dry Available online 22 June 2018 and rainy seasons in 2015. The APHA approach was used to deter- Keywords: mine the physicochemical parameters of the samples. The results Divandarreh showed that the average concentration of Ca, Mg, Na, K, Cl, SO4,TDS Physicochemical quality and TH during dry season was 85.64 mg/l, 13.41 mg/l, 34.11 mg/l, Drinking water 2.8 mg/l, 9.9 mg/l, 45.7 mg/l, 326.06 mg/l and 269.61 mg/l, respec- Rural area tively. Also, the average concentration of the parameters during rainy season was 77.3 mg/l, 18.27 mg/l, 30.3 mg/l, 1.9 mg/l, 12.54 mg/ l, 39 mg/l, 269.1 mg/l and 316.17 mg/l, respectively. & 2018 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). n Corresponding authors. E-mail addresses: [email protected] (E. Ghahramani), [email protected] (M.A. Karami). https://doi.org/10.1016/j.dib.2018.06.058 2352-3409/& 2018 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). 1662 A. Maleki et al. / Data in Brief 19 (2018) 1661–1669 Specifications Table Subject area Chemistry More specific subject area Drinking water quality Type of data Tables and map How data was acquired Analyses of temporary hardness, calcium, magnesium were conducted using titration method. The electrical conductivity and pH of samples were determined with (Jenway 470 Conductivity meter) and pH meter (model Jenway 350), respectively. Measurement of sulfate anions and cations was done by spectrophotometry (DR 5000; Hach) in water. Data format Analyzed Experimental factors The water samples stored at room temperature and were analyzed according to the APHA approach. Experimental features The levels of physical and chemical parameters were determined. Data source location Divandarreh, Kurdistan province, Iran Data accessibility Data are included in this article Value of the data Based on the obtained data proper measure can be taken in order to deliver appropriate water quality to consumers. The collected data can be used for the preparation of research map in the field of water treatment by another researcher. The collected data can be useful for the codification of local standards along with other researcher's data. 1. Data The specified parameters in the experiments are included calcium ion, magnesium ion, sodium ion, chloride ion, sulfate ion, temperature, total alkalinity, electrical conductivity (EC), total dissolved solids (TDS) and pH analyzed according to standard methods for the examination of water and wastewater [1]. Water stability was evaluated based on RSI, LSI, PSI, AI and LS. The sampling points and study area was shown in Fig. 1. The chemical and physical characteristics of intended water samples are presented in Tables 1 and 2. Tables 3 and 4 shows the equations and indicators for categorizing the water stability. Calculation of water quality indices is shown in Table 5. Table 6 illustrates the stability indices in water resource. The condition of water stability in the water resources is shown in Table 7. 2. Experimental design, materials and methods 2.1. Description of study area Divandarreh, one of the cities of Kurdistan province, located at west of Iran (35°540N, 47°010E). The city area is about 4203 km2 (approximately 15% of Kurdistan province area). The highest and lowest temperatures of air are 32 °CandÀ20 °C, respectively. According to the latest population census in Iran (2016), Divandarreh population was 81,000 persons. A. Maleki et al. / Data in Brief 19 (2018) 1661–1669 1663 Fig. 1. Location and sampling points in Divandarreh city. 2.2. Determine of water characteristics To assessment of physiochemical parameters of the drinking water in rural area of Divan- darreh province, 35 villages selected as sampling points. The samples were collected in rainy and dried seasons in 2015. The collected samples were delivered to laboratory in suitable conditions. After that, the samples were analyzed according to the standard methods for water and wastewater [1–7]. Measurement of temporary hardness, calcium, magnesium and chloride were carried out using titration method. Concentrations of fluoride, nitrate, and sulfate were determined by DR5000 spectrophotometer [1].TheECandpHwere analyzed with (Jenway 470 Conductivity meter) and pH meter (model Jenway 350), respectively. 1664 A. Maleki et al. / Data in Brief 19 (2018) 1661–1669 Table 1 Analyses of water quality parameters of the study area during dry seasons in 2015. Sample Caþ2 Mg þ2 Naþ K þ ClÀ À 2 Alk TH pH EC (μmhos/cm) TDS Tem SO4 nos. (mg/l) (mg/l) (mg/l) (mg/l) (mg/l) (mg/l) (mg/l) (mg/l) C 1 64 19 15 2.4 5.58 7.05 276 238.9 7.88 437 283 22.1 2 64 9.7 9 0.4 2.90 10.7 200 200.6 7.7 323 209 21.2 3 96 25 31 1.8 13.18 45.6 380 343.8 7.64 642 417 20.3 4 128 20 71 4.4 12.55 57.7 460 403 7.75 847 550 21.7 5 72 10 26 1 8.49 38.8 254 221.5 8.04 419 273 21.4 6 64 5 14 0.4 2.93 16.6 150 180.8 7.93 267 173 19.7 7 64 10.2 19 0.4 2.36 26.2 264 202.33 7.34 406 264 20.5 8 62 10 10 0.7 2.54 12.9 140 196.5 7.57 245 159 21.2 9 48 15 8 0.3 1.15 7.8 140 182.25 7.62 198 128 21.8 10 48 8 8 0.6 3.07 14 190 153.2 7.77 281 182 20.3 11 51.2 9 8 0.4 1.56 9.6 120 165.4 7.84 190 122 20.8 12 43.2 20.5 6 0.3 2.09 19.9 230 193.06 7.82 351 228 19.9 13 63.2 14.5 10 0.4 2.48 46.3 210 218.18 7.56 410 268 19.2 14 82.8 13 3 0.3 1.57 32.6 220 261 8.1 299 194 19.7 15 58.4 10.5 11 0.2 1.744 17.5 190 189.58 7.69 300 195 19.8 16 59.2 3 10 0.3 12.02 25.2 210 160.5 7.81 395 256 19.8 17 72 12.7 14 2.9 3.96 21.7 240 232.7 7.88 407 266 20.3 18 76 2.6 37 0.5 25.69 65.4 340 200.8 7.73 574 373 19.3 19 111.2 3.1 46 4.2 27.715 62.2 384 290.87 6.93 630 411 20 20 104 4.5 75 5 13.33 71.7 396 278.68 8.12 862 560 20.5 21 112 3.7 56 0.1 19.89 59.8 260 295.4 7.46 489 317 19.8 22 55.2 5.4 89 13.6 24.39 54.9 420 160.41 7.37 836 545 19.8 23 92 2.5 76 6.3 15.082 60.6 380 240.4 7.61 651 421 20.4 24 72 3.5 94 11.8 13.72 60.2 480 194.53 7.44 1141 741 20.2 25 211 2.5 75 6.2 19.3 70.3 380 537.88 7.95 928 605 20 26 123 2 58 2.8 20.47 76.5 340 315.8 7.1 563 366 20.5 27 95.2 1.6 72 2.4 15.27 63.1 340 244.64 8.15 694 450 19.7 28 98.4 6 67 3 11.63 42.8 230 270.9 7.88 532 345 18.8 29 71.2 1 90 8.4 19.781 0 450 182.15 7.58 1089 708 18.9 30 120 30 14 1.6 12.51 44.9 120 424.5 7.69 193 125 18.7 31 40 30 18 7.5 3.33 0 220 224.5 7.83 367 239 19 32 68 44 9 1 2.70 364 160 352.6 7.6 281 182 19.6 33 60 30 13 4.6 4.03 24.3 230 274.5 7.73 330 213 18.8 34 156 40 16 1 5.56 33.2 210 556 8.04 396 258 20 35 190 42 16 0.5 11.99 34.8 260 649.3 8.28 434 281 20.2 Max 211 44 94 13.6 27.71 364 480 649.3 8.28 1141 741 22.1 Min 40 1 3 0.1 1.15 0 120 153.2 6.93 190 122 187 SD 39.5 12.3 30 3.4 8 59.84 103 118.23 0.29 251.6 163.8 0.87 Mean 85.64 13.41 34.11 2.8 9.9 45.7 270.7 269.61 7.73 497.35 323.06 20.11 Table 2 Analyses of water quality parameters of the study area during rainy seasons in 2015.