References
- R. Taghizadeh Mehrjerdi, M. Zareian, S.H. Mahmodi,
A. Heidari, Spatial distribution of groundwater quality with
geostatistic (case study: Yazd-Ardakan plain), World Appl. Sci.
J., 4 (2008) 7–9.
- A. Lermontov, River quality analysis using fuzzy water
quality index: Ribeira do Iguape river watershed, Brazil, Ecol.
Indic., 9 (2009) 1188–1197.
- M. Mokarram, Modeling of multiple regression and multiple
linear regressions for prediction of groundwater quality (case
study: north of Shiraz), Model Earth Syst. Environ., 2 (2016),
doi: 10.1007/s40808-015-0059-5.
- M. Mokarram, M. Hojati, A. Saber, Application of Dempster–Shafer theory and fuzzy analytic hierarchy process for
evaluating the effects of geological formation units on
groundwater quality, Environ. Sci. Pollut. Res. Int., 26 (2019)
19352–19364.
- M. Mokarram, D. Sathyamoorthy, 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), Drinking Water Eng Sci., 9 (2016) 57–67.
- S. Ahmad, Groundwater monitoring network design:
application of geostatistics with a few case studies from a
granitic aquifer in a semiarid region, Groundwater Hydrol.,
2 (2002) 37–57.
- I. Gauss, D.G. Kinniburgh, J.C. Talbot, R. Webster, Geostatistical
analysis of arsenic concentration in groundwater in Bangladesh
using disjunctive kriging, J. Environ., 44 (2003) 939–948.
- M. Kholghi, S.M. Hosseini, Comparison of groundwater level
estimation using neuron fuzzy and ordinary kriging, Environ.
Model Assess., 14 (2009) 729–737.
- F. Sanches, Mapping groundwater quality variables using PCA
and geostatistics: a case study of Bajo Andarax, southeastern
Spain, Hydrol. Sci. J., 46 (2001) 227–242.
- S. Fetouani, M. Sbaa, M. Vanclooster, B. Bendra, Assessing
groundwater quality in the irrigated plain of Triffa (North-east
Morocco), Agric. Water Manage., 95 (2008) 133–142.
- A. Alver, Evaluation of conventional drinking water treatment
plant efficiency according to water quality index and
health risk assessment, Environ. Sci. Pollut. Res., 26 (2019)
27225–27238.
- B. Thoradeniya, U. Pinto, B. Maheshwari, Perspectives on
impacts of water quality on agriculture and community wellbeing —
a key informant study from Sri Lanka, Environ. Sci.
Pollut. Res., 26 (2019) 2047–2061.
- K.A. Camacho-Cruz, M.C. Ortiz-Hernández, A. Sánchez,
L. Carrillo, A.D.J. Navarrete, Water quality in the eastern karst
region of the Yucatan Peninsula: nutrients and stable nitrogen
isotopes in turtle grass, Thalassia testudinum, Environ. Sci.
Pollut. Res. Int., 27 (2020) 15967–15983.
- L.H. Zadeh, Fuzzy sets, Inf. Control, 8 (1965) 338–353.
- C. Kwok-wing, A review on integration of artificial intelligence
into water quality modelling, Mar. Pollut. Bull., 52 (2006)
726–733.
- W. Silvert, Fuzzy indices of environmental conditions, Ecol.
Model., 130 (2000) 111–119.
- P.A. Burrough, M.F. Goodchild, R.A. McDonnell, P. Switzer,
M. Worboys, Principles of Geographic Information Systems,
Oxford University Press, Oxford, UK, 1998.
- WHO, Guidelines for Drinking-Water Quality, World Health
Organization, Geneva, 2011.
- A.B. McBratney, R. Webster, Choosing functions for
semivariograms of soil properties and fitting them to sampling
estimates, J. Soil. Sci., 37 (1986) 617–639.
- P. Ravikumar, R.K. Somashekar, Multivariate analysis to
evaluate geochemistry of groundwater in Varahi river basin
of Udupi in Karnataka (India), Ecoscan, 4 (2010) 153–162.
- B. Li, G. Yang, R. Wan, G. Hörmann, Dynamic water quality
evaluation based on fuzzy matter–element model and
functional data analysis, a case study in Poyang Lake, Environ.
Sci. Pollut. Res., 24 (2017) 19138–19148.
- S. Venkatramanan, S.Y. Chung, S. Selvam, S.Y. Lee, H.E. Elzain,
Factors controlling groundwater quality in the Yeonjegu
District of Busan City, Korea, using the hydrogeochemical
processes and fuzzy GIS, Environ. Sci. Pollut. Res., 24 (2017)
23679–2369.
- X. Zhao, J. Liu, X. Xia, J. Chu, Y. Wei, S. Shi, E. Chang, W. Yin,
Z. Jiang, The evaluation of heavy metal accumulation and
application of a comprehensive bio-concentration index for
woody species on contaminated sites in Hunan, China, Environ.
Sci. Pollut. Res., 21 (2014) 5076–5085.
- Z. Barnett-Itzhaki, J. Eaton, I. Hen, T. Berman, Heavy metal
concentrations in drinking water in a country heavily reliant
on desalination, Environ. Sci. Pollut. Res. Int., 26 (2019)
19991–19996.
- F.A. Erturk, G. Agar, E. Arslan, G. Nardemir, Analysis of genetic
and epigenetic effects of maize seeds in response to heavy metal
(Zn) stress, Environ. Sci. Pollut. Res. Int., 22 (2015) 10291–1029.