Articles | Volume 9, issue 2
https://doi.org/10.5194/dwes-9-57-2016
https://doi.org/10.5194/dwes-9-57-2016
Research article
 | 
28 Oct 2016
Research article |  | 28 Oct 2016

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)

Marzieh Mokarram and Dinesh Sathyamoorthy

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Aliabadi, K. and Soltanifard, H.: The Impact Of Water And Soil Electrical Conductivity And Calcium Carbonate On Wheat Crop Using A Combination Of Fuzzy Inference System And GIS, International Journal of Scientific & Technology Research, 3, 118–124, 2014.
Bijanzadeh, E. and Mokarram, M.: The use of fuzzy-AHP methods to assess fertility classes for wheat and its relationship with soil salinity: east of Shiraz, Iran: A case study, Aust. J. Crop Sci., 7, 1699–1706, 2013.
Bise, C. J.: Modern American Coal Mining: Methods and Applications, Society for Mining Metallurgy & Exploration, ISBN: 9780873353526, 2013.
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Christiansen, D. E.: Riverbed elevations and water quality of the Missouri River at Sioux City, Iowa, 2002–03: US Geological Survey Scientific Investigations Report 2004–5079, 14 pp., 2004.
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Short summary
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 class from a DEM by the TPI method, so that stream, valleys, upland drainages, and local ridge classes have more water quality.