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)
| Autor: | Marzieh Mokarram, Dinesh Sathyamoorthy |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
geography
geography.geographical_feature_category 010504 meteorology & atmospheric sciences lcsh:T Landform Environmental engineering STREAMS 010501 environmental sciences Total dissolved solids lcsh:Technology 01 natural sciences Pollution lcsh:TD1-1066 chemistry.chemical_compound chemistry Ridge Environmental science Extraction (military) Water quality lcsh:Environmental technology. Sanitary engineering Sulfate Fuzzy ahp 0105 earth and related environmental sciences Water Science and Technology Civil and Structural Engineering |
| Zdroj: | Drinking Water Engineering and Science, Vol 9, Iss 2, Pp 57-67 (2016) |
| ISSN: | 1996-9465 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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