Drinking water with high quality is one of our most vital resources, and when our water is polluted it is not only devastating to the environment, but also to human health. So the aim of the research is investigation groundwater quality using Schoeller diagram method in north of Fars province, southeast Iran. For determination of groundwater quality, parameters of chlorine (Cl), sodium (Na), sulfate (So4), total dissolved solids (TDS) and total hardness (TH) were used. Using Inverse Distance Weighting (IDW) interpolation maps of each parameters using inverse distance weighting (IDW) method and then fuzzy and AHP method were determined. The results of fuzzy method showed that, except the parts of south, all of the area was not suitable for So4, Cl, and Na that had the value close to 0. Also except the some parts of north was suitable for TDS and TH that had the value close to 1.
Negahban, S., Mokarram, M., & zare, G. (2019). Classification of drinking water quality using Schoeller diagram in GIS. Natural Resource Management, GIS & Remote Sensing, 1(1), 61-71. doi: 10.22121/ngis.2019.85268
MLA
Saeed Negahban; Marzeyeh Mokarram; Gholamreza zare. "Classification of drinking water quality using Schoeller diagram in GIS". Natural Resource Management, GIS & Remote Sensing, 1, 1, 2019, 61-71. doi: 10.22121/ngis.2019.85268
HARVARD
Negahban, S., Mokarram, M., zare, G. (2019). 'Classification of drinking water quality using Schoeller diagram in GIS', Natural Resource Management, GIS & Remote Sensing, 1(1), pp. 61-71. doi: 10.22121/ngis.2019.85268
VANCOUVER
Negahban, S., Mokarram, M., zare, G. Classification of drinking water quality using Schoeller diagram in GIS. Natural Resource Management, GIS & Remote Sensing, 2019; 1(1): 61-71. doi: 10.22121/ngis.2019.85268
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