干旱区生态环境知识资源中心(Arid): Protocol for the estimation of drinking water quality index (DWQI) in water resources: Artificial neural network (ANFIS) and Arc-Gis

Arid

DOI	10.1016/j.mex.2019.04.027
	Protocol for the estimation of drinking water quality index (DWQI) in water resources: Artificial neural network (ANFIS) and Arc-Gis
	RadFard, Majid; Seif, Mozhgan; Hashemi, Amir Hossein Ghazizadeh; Zarei, Ahmad; Saghi, Mohammad Hossein; Shalyari, Naseh; Morovati, Roya; Heidarinejad, Zoha; Samaei, Mohammad Reza
通讯作者	Samaei, MR
来源期刊	METHODSX
EISSN	2215-0161
出版年	2019
卷号	6 页码:1021-1029
英文摘要	Drinking water sources may be polluted by various pollutants depending on geological conditions and agricultural, industrial, and other human activities. Ensuring the safety of drinking water is, therefore, of a great importance. The purpose of this study was to assess the quality of drinking groundwater in Bardaskan villages and to determine the water quality index. Water samples were taken from 30 villages and eighteen parameters including calcium hardness (CaH), total hardness (TH), turbidity, pH, temperature, total dissolved solids (TDS), electrical conductivity (EC), alkalinity (ALK), magnesium (Mg2+), calcium (Ca2+), potassium (K+), sodium (Na+), sulphate (SO42), bicarbonate (HCO3), fluoride (F), nitrate (NO3), nitrite (NO2) and chloride (Cl) were analyzed for the purpose for this study. The water quality index of groundwater has been estimated by using the ANFIS. The spatial locations are shown using GPS. The results of this study showed that water hardness, electrical conductivity, sodium and sulfate in 66,13, 45 and 12.5% of the studied villages were higher than the Iranian drinking water standards, respectively. Based on the Drinking Water Quality Index (DWQI), water quality in 3.3, 60, 23.3 and 13.3% of villages was excellent, good, poor and very poor, respectively. Groundwater is one of the sources of drinking water in arid and semi-arid regions such as Bardaskan villages, which monitor the quality of these resources in planning for improving the quality of water resources. The DWQI can clearly provide information associated with the status of water quality resources in Bardaskan villages. The results of this study clearly indicated that with appropriate selection of input variables, ANFIS as a soft computing approach can estimate water quality indices properly and reliably. Some parameters were in the undesirable level is some villages. Therefore, the government should try to improve the chemical and physical quality of drinking water in these areas with the necessary strategies. (C) 2019 The Authors. Published by Elsevier B.V.
英文关键词	Drinking water WQI Bardaskan villages Iran
类型	Article
语种	英语
开放获取类型	DOAJ Gold, Green Published
收录类别	ESCI
WOS记录号	WOS:000493729600115
WOS关键词	FUZZY INFERENCE SYSTEM ; HEALTH-RISK ASSESSMENT ; GROUNDWATER QUALITY ; BALUCHISTAN PROVINCE ; IRRIGATION PURPOSES ; SISTAN ; CITY ; CORROSIVENESS ; PREDICTION ; FLUORIDE
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/333892
作者单位	[RadFard, Majid; Morovati, Roya; Samaei, Mohammad Reza] Shiraz Univ Med Sci, Sch Publ Hlth, Dept Environm Hlth Engn, Shiraz, Iran; [Seif, Mozhgan] Shiraz Univ Med Sci, Sch Hlth, Dept Epidemiol, Shiraz, Iran; [Hashemi, Amir Hossein Ghazizadeh] Shahid Beheshti Univ Med Sci, Tehran, Iran; [Zarei, Ahmad] Gonabad Univ Med Sci, Fac Hlth, Dept Environm Hlth Engn, Gonabad, Iran; [Zarei, Ahmad] Gonabad Univ Med Sci, Sch Publ Hlth, Dept Hlth, Social Determinants Hlth Res Ctr, Gonabad, Iran; [Saghi, Mohammad Hossein] Sabzevar Univ Med Sci, Sch Publ Hlth, Dept Environm Hlth Engn, Sabzevar, Iran; [Shalyari, Naseh] Univ Tehran Med Sci, Sch Publ Hlth, Dept Environm Hlth Engn, Tehran, Iran; [Heidarinejad, Zoha] Hormozgan Univ Med Sci, Food Hlth Res Ctr, Bandar Abbas, Iran
推荐引用方式 GB/T 7714	RadFard, Majid,Seif, Mozhgan,Hashemi, Amir Hossein Ghazizadeh,et al. Protocol for the estimation of drinking water quality index (DWQI) in water resources: Artificial neural network (ANFIS) and Arc-Gis[J],2019,6:1021-1029.
APA	RadFard, Majid.,Seif, Mozhgan.,Hashemi, Amir Hossein Ghazizadeh.,Zarei, Ahmad.,Saghi, Mohammad Hossein.,...&Samaei, Mohammad Reza.(2019).Protocol for the estimation of drinking water quality index (DWQI) in water resources: Artificial neural network (ANFIS) and Arc-Gis.METHODSX,6,1021-1029.
MLA	RadFard, Majid,et al."Protocol for the estimation of drinking water quality index (DWQI) in water resources: Artificial neural network (ANFIS) and Arc-Gis".METHODSX 6(2019):1021-1029.