Articles | Volume 9, issue 2
https://doi.org/10.5194/dwes-9-57-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/dwes-9-57-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
Marzieh Mokarram (Department of Range and Watershed Management, College of Agriculture and Natural Resources of Darab,
Shiraz University, Iran
Dinesh Sathyamoorthy
Dinesh Sathyamoorthy (Science & Technology Research Institute for Defence (STRIDE), Ministry of Defence,
Malaysia
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Cited
12 citations as recorded by crossref.
- Fusion of deep neural networks and infrared wave analysis for climate pattern prediction and shifting sand hazard Assessment H. Lu & M. Mokarram 10.1016/j.jag.2025.104649
- Investigation of land use changes in rural areas using MCDM and CA-Markov chain and their effects on water quality and soil fertility in south of Iran S. Ronizi et al. 10.1007/s11356-022-21951-y
- Predicting dune migration risks under climate change context: A hybrid approach combining machine learning, deep learning, and remote sensing indices M. Mokarram & T. Pham 10.1016/j.jaridenv.2025.105447
- Application of Dempster–Shafer theory and fuzzy analytic hierarchy process for evaluating the effects of geological formation units on groundwater quality M. Mokarram et al. 10.1007/s11356-019-05262-3
- Investigation of Sustainable Rural Tourism Activities With Different Risk: A GIS‐MCDM Case in Isfahan, Iran S. Akbarian Ronizi et al. 10.1029/2021EA002153
- A structural equation model to predict macroinvertebrate-based ecological status in catchments influenced by anthropogenic pressures A. Fernandes et al. 10.1016/j.scitotenv.2019.05.117
- Development of fuzzy analytic hierarchy process based water quality model of Upper Ganga river basin, India V. Singh et al. 10.1016/j.jenvman.2021.111985
- Investigation of water quality and its spatial distribution in the Kor River basin, Fars province, Iran M. Mokarram et al. 10.1016/j.envres.2021.112294
- Comparison analytic network and analytical hierarchical process approaches with feature selection algorithm to predict groundwater quality M. Mokarram et al. 10.1007/s12665-019-8639-8
- Water quality studies using fuzzy-analytic hierarchical procedure method to identify their suitability for drinking, industry, and agriculture – a case study E. Moghadam et al. 10.5004/dwt.2021.27065
- Geospatial Approach to Soil Fertility Mapping in Dailekh District, Nepal: A GIS Perspective G. Dhakal & S. Kattel 10.59983/s2025030105
- Comparison of AHP and FAHP methods in determining suitable areas for drinking water harvesting in Birjand aquifer. Iran A. Khashei-Siuki et al. 10.1016/j.gsd.2019.100328
12 citations as recorded by crossref.
- Fusion of deep neural networks and infrared wave analysis for climate pattern prediction and shifting sand hazard Assessment H. Lu & M. Mokarram 10.1016/j.jag.2025.104649
- Investigation of land use changes in rural areas using MCDM and CA-Markov chain and their effects on water quality and soil fertility in south of Iran S. Ronizi et al. 10.1007/s11356-022-21951-y
- Predicting dune migration risks under climate change context: A hybrid approach combining machine learning, deep learning, and remote sensing indices M. Mokarram & T. Pham 10.1016/j.jaridenv.2025.105447
- Application of Dempster–Shafer theory and fuzzy analytic hierarchy process for evaluating the effects of geological formation units on groundwater quality M. Mokarram et al. 10.1007/s11356-019-05262-3
- Investigation of Sustainable Rural Tourism Activities With Different Risk: A GIS‐MCDM Case in Isfahan, Iran S. Akbarian Ronizi et al. 10.1029/2021EA002153
- A structural equation model to predict macroinvertebrate-based ecological status in catchments influenced by anthropogenic pressures A. Fernandes et al. 10.1016/j.scitotenv.2019.05.117
- Development of fuzzy analytic hierarchy process based water quality model of Upper Ganga river basin, India V. Singh et al. 10.1016/j.jenvman.2021.111985
- Investigation of water quality and its spatial distribution in the Kor River basin, Fars province, Iran M. Mokarram et al. 10.1016/j.envres.2021.112294
- Comparison analytic network and analytical hierarchical process approaches with feature selection algorithm to predict groundwater quality M. Mokarram et al. 10.1007/s12665-019-8639-8
- Water quality studies using fuzzy-analytic hierarchical procedure method to identify their suitability for drinking, industry, and agriculture – a case study E. Moghadam et al. 10.5004/dwt.2021.27065
- Geospatial Approach to Soil Fertility Mapping in Dailekh District, Nepal: A GIS Perspective G. Dhakal & S. Kattel 10.59983/s2025030105
- Comparison of AHP and FAHP methods in determining suitable areas for drinking water harvesting in Birjand aquifer. Iran A. Khashei-Siuki et al. 10.1016/j.gsd.2019.100328
Latest update: 28 Oct 2025
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.
The relationship between landform class and drinking water quality based on content of inorganic...