References
- H. Rezaei, A. Zarei, B. Kamarehie, A. Jafari, Y. Fakhri,
F. Bidarpoor, M.A. Karami, M. Farhang, M. Ghaderpoori,
H. Sadeghi, N. Shalyari, Levels, distributions and health risk
assessment of lead, cadmium and arsenic found in drinking
groundwater of Dehgolan’s villages, Iran, Toxicol. Environ.
Health Sci., 11 (2019) 54–62.
- A. Badeenezhad, H.R. Tabatabaee, H.-A. Nikbakht, M. Radfard,
A. Abbasnia, M.A. Baghapour, M. Alhamd, Estimation of the
groundwater quality index and investigation of the affecting
factors their changes in Shiraz drinking groundwater, Iran,
Groundwater Sustainable Dev., 11 (2020) 100435, doi:10.1016/j.gsd.2020.100435.
- M. Yousefi, H.N. Saleh, M. Yaseri, M. Jalilzadeh,
A.A. Mohammadi,
Association of consumption of excess hard
water, body mass index and waist circumference with risk of
hypertension in individuals living in hard and soft water areas,
Environ. Geochem. Health, 41 (2019) 1213–1221.
- S. Marque, H. Jacqmin-Gadda, J.-F. Dartigues, D. Commenges,
Cardiovascular mortality and calcium and magnesium in
drinking water: an ecological study in elderly people, Eur. J.
Epidemiol., 18 (2003) 305–309.
- Z.Q. Lateef, A.-S.T. Al-Madhhachi, D.E. Sachit, Evaluation
of water quality parameters in Shatt AL-Arab, Southern Iraq,
using spatial analysis, Hydrology, 7 (2020) 79, doi: 10.3390/hydrology7040079.
- N. Khatri, S. Tyagi, D. Rawtani, M. Tharmavaram, R.D. Kamboj,
Analysis and assessment of ground water quality in Satlasana
Taluka, Mehsana district, Gujarat, India through application
of water quality indices, Groundwater Sustainable Dev.,
10 (2020) 100321, doi: 10.1016/j.gsd.2019.100321.
- M. Mirzabeygi, M. Naji, N. Yousefi, M. Shams, H. Biglari,
A.H. Mahvi, Evaluation of corrosion and scaling tendency
indices in water distribution system: a case study of Torbat
Heydariye, Iran, Desal. Water Treat., 57 (2016) 25918–25926.
- M.H. Paller, S.M. Harmon, A.S. Knox, W.W. Kuhne,
N.V. Halverson, Assessing effects of dissolved organic carbon
and water hardness on metal toxicity to Ceriodaphnia dubia
using diffusive gradients in thin films (DGT), Sci. Total Environ.,
697 (2019) 134107, doi: 10.1016/j.scitotenv.2019.134107.
- C. Merz, G. Lischeid, Multivariate analysis to assess the impact
of irrigation on groundwater quality, Environ. Earth Sci.,
78 (2019) 1–11.
- M.I. Yesilnacar, E. Sahinkaya, Artificial neural network
prediction of sulfate and SAR in an unconfined aquifer in
southeastern Turkey, Environ. Earth Sci., 67 (2012) 1111–1119.
- D.P. Strik, A.M. Domnanovich, L. Zani, R. Braun, P. Holubar,
Prediction of trace compounds in biogas from anaerobic
digestion using the MATLAB Neural Network Toolbox,
Environ. Modell. Software, 20 (2005) 803–810.
- E. Reyes-Télleza, A. Parralesb, G. Ramírez-Ramosa, J. Hernándezc,
G. Urquizac, M. Herediaa, F. Sierrac, Analysis of
transfer functions and normalizations in an ANN model that
predicts the transport of energy in a parabolic trough solar
collector, Desal. Water Treat., 200 (2020) 23–41.
- D. Millán-Ocampo, J. Porcayo-Calderón, A. Álvarez-
Gallegos, J. Solís-Pérez, J. Hernández-Pérez,
S. Silva-Martínez,
Electrochemical deposition of copper using a modified
electrode with polyaniline film: experimental analysis and
ANN-based prediction, J. Taiwan Inst. Chem. Eng., 123 (2021)
272–283.
- M. Baziar, R. Nabizadeh, A.H. Mahvi, M. Alimohammadi,
K. Naddafi, A. Mesdaghinia, Application of adaptive neural
fuzzy inference system and fuzzy C-means algorithm in
simulating the 4-chlorophenol elimination from aqueous
solutions by persulfate/nano zero valent iron process, Eur. J.
Anal. Chem., 13 (2018) em03, doi: 10.12973/ejac/80612.
- M. Baziar, R. Nabizadeh, A.H. Mahvi, M. Alimohammadi,
K. Naddafi, A. Mesdaghinia, H. Aslani, Effect of dissolved
oxygen/nZVI/persulfate process on the elimination of
4-chlorophenol from aqueous solution: Modeling and
optimization study, Korean J. Chem. Eng., 35 (2018) 1128–1136.
- H.R. Zakeri, M. Yousefi, A.A. Mohammadi, M. Baziar,
S.A. Mojiri, S. Salehnia, A. Hosseinzadeh, Chemical coagulationelectro
Fenton as a superior combination process for treatment
of dairy wastewater: performance and modelling, Int. J. Environ.
Sci. Technol., (2021) 1–14, doi: 10.1007/s13762-021-03149-w.
- M.I. Yesilnacar, E. Sahinkaya, M. Naz, B. Ozkaya, Neural
network prediction of nitrate in groundwater of Harran Plain,
Turkey, Environ. Geol., 56 (2008) 19–25.
- M. Baziar, R. Nabizadeh, A.H. Mahvi, K. Naddafi,
A. Mesdaghinia, M. Alimohammadi, H. Aslani, Sensitivity
analysis and modeling of 4-chlorophenol degradation in
aqueous solutions by an nZVI-sodium persulfate system,
Desal. Water Treat., 112 (2018) 292–302.
- N. Balkaya, H. Kurtulus Ozcan, O. Nuri Ucan, Determination
of relationship between hardness and groundwater quality
parameters by neural networks, Desal. Water Treat., 11 (2009)
258–263.