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Investigation of the relationship between drinking water quality based on content of inorganic components and landform classes using fuzzy AHP (case study; south of Firozabad, west of Fars province, Iran)

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doi: 10.5194/dwes-9-57-2016
Authors:Mokarram, Marzieh; Sathyamoorthy, Dinesh
Author Affiliations:Primary:
Shiraz University, College of Agriculture and Natural Resources of Darab, Department of Range and Watershed Management, Shiraz, Iran
Other:
Ministry of Defence, Malaysia
Volume Title:Drinking Water Engineering and Science (DWES)
Source:Drinking Water Engineering and Science (DWES), 9(2), p.57-67. Publisher: Copernicus Publications, Gottingen, Germany. ISSN: 1996-9457
Publication Date:2016
Note:In English. 22 refs.; illus., incl. 6 tables
Summary:In this study, the fuzzy analytic hierarchy process (AHP) is used to study the relationship between drinking water quality based on content of inorganic components and landform classes in the south of Firozabad, west of Fars province, Iran. For determination of drinking water quality based on content of inorganic components, parameters of calcium (Ca), chlorine (Cl), magnesium (Mg), thorium (TH), sodium (Na), electrical conductivity (EC), sulfate (SO4), and total dissolved solids (TDS) were used. It was found that 8.29 % of the study area has low water quality; 64.01%, moderate; 23.33%, high; and 4.38%, very high. Areas with suitable drinking water quality based on content of inorganic components are located in parts of the south-eastern and south-western parts of the study area. The relationship between landform class and drinking water quality based on content of inorganic components shows that drinking water quality based on content of inorganic components is high in the stream, valleys, upland drainages, and local ridge classes, and low in the plain small and midslope classes. In fact we can predict water quality using extraction of landform classes from a digital elevation model (DEM) by the Topographic Position Index (TPI) method, so that streams, valleys, upland drainages, and local ridge classes have more water quality than the other classes. In the study we determined that without measurement of water sample characteristics, we can determine water quality by landform classes.
Subjects:Actinides; Alkali metals; Alkaline earth metals; Calcium; Chlorine; Classification; Decision-making; Digital terrain models; Drinking water; Electrical conductivity; Fuzzy logic; Geostatistics; Halogens; Hydrochemistry; Inorganic materials; Landform description; Magnesium; Metals; Planning; Pollutants; Pollution; Sodium; Solutes; Statistical analysis; Sulfate ion; Thorium; Water quality; Asia; Fars Iran; Iran; Middle East; Firozabad Iran
Record ID:787113-4
Copyright Information:GeoRef, Copyright 2021 American Geosciences Institute. Reference includes data from Copernicus Gesellschaft, Katlenburg-Lindau, Germany
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