Tesoriero AJ, Voss FD (1997) Predicting the probability of elevated nitrate concentrations in the
Puget Sound Basin: implications for aquifer susceptibility and vulnerability. Groundwater 35
(6):1029–1039
Tien Bui D, Shahabi H, Omidvar E, Shirzadi A, Geertsema M, Clague JJ, Khosravi K, Pradhan B,
Pham BT, Chapi K (2019) Shallow landslide prediction using a novel hybrid functional machine
learning algorithm. Remote Sen 11(8):931
Twarakavi NKC, Kaluarachchi JJ (2005) Aquifer vulnerability assessment to heavy metals using
ordinal logistic regression. Groundwater 43(2):200–214
USEPA (1997) Ambient ground water quality monitoring cost analysis. United States Environmental Protection Agency (USEPA)
Venkataraman K (2010) Occurrence, distribution, and speciation of arsenic in the Southern High
Plains Aquifer System. Texas Tech University, Lubbock, TX
Vörösmarty CJ, Green P, Salisbury J, Lammers RB (2000) Global water resources: vulnerability
from climate change and population growth. Science 289(5477):284–288
Ward MH, DeKok TH, Levallois P, Brender J, Gulis G, Nolan BT, Van Derslice J (2005)
Workgroup report: drinking-water nitrate and health – recent findings and research needs.
Environ Health Perspec 113(11):1607–1614
Ward M, Jones R, Brender J, de Kok T, Weyer P, Nolan B, Villanueva C, van Breda S (2018)
Drinking water nitrate and human health: an updated review. Int J Environ Res Pub Health 15
(7):1557
WHO (2011) Nitrate and nitrite in drinking-water: background document for development of WHO
guidelines for drinking-water quality. World Health Organization (WHO)
WHO (2017) Progress on drinking water, sanitation and hygiene: 2017 update and SDG baselines.
World Health Organization (WHO) and the United Nations Children’s Fund (UNICEF)
Winkel L, Berg M, Amini M, Hug SJ, Johnson CA (2008) Predicting groundwater arsenic
contamination in Southeast Asia from surface parameters. Nat Geosci 1(8):536
Yadav KK, Kumar S, Pham QB, Gupta N, Rezania S, Kamyab H, Yadav S, Vymazal S, Kumar V,
Tri DQ (2019) Fluoride contamination, health problems and remediation methods in Asian
groundwater: a comprehensive review. Ecotoxicol Environ Saf 182:109362
Yang N, Winkel LHE, Johannesson KH (2014) Predicting geogenic arsenic contamination in
shallow groundwater of South Louisiana, United States. Environ Sci Technology 48
(10):5660–5666
Zhou Z (2015) A global assessment of nitrate contamination in groundwater. International Groundwater Resources Assessment Center. Internship report
4 Application of Artificial Intelligence in Predicting Groundwater Contaminants
105
Puget Sound Basin: implications for aquifer susceptibility and vulnerability. Groundwater 35
(6):1029–1039
Tien Bui D, Shahabi H, Omidvar E, Shirzadi A, Geertsema M, Clague JJ, Khosravi K, Pradhan B,
Pham BT, Chapi K (2019) Shallow landslide prediction using a novel hybrid functional machine
learning algorithm. Remote Sen 11(8):931
Twarakavi NKC, Kaluarachchi JJ (2005) Aquifer vulnerability assessment to heavy metals using
ordinal logistic regression. Groundwater 43(2):200–214
USEPA (1997) Ambient ground water quality monitoring cost analysis. United States Environmental Protection Agency (USEPA)
Venkataraman K (2010) Occurrence, distribution, and speciation of arsenic in the Southern High
Plains Aquifer System. Texas Tech University, Lubbock, TX
Vörösmarty CJ, Green P, Salisbury J, Lammers RB (2000) Global water resources: vulnerability
from climate change and population growth. Science 289(5477):284–288
Ward MH, DeKok TH, Levallois P, Brender J, Gulis G, Nolan BT, Van Derslice J (2005)
Workgroup report: drinking-water nitrate and health – recent findings and research needs.
Environ Health Perspec 113(11):1607–1614
Ward M, Jones R, Brender J, de Kok T, Weyer P, Nolan B, Villanueva C, van Breda S (2018)
Drinking water nitrate and human health: an updated review. Int J Environ Res Pub Health 15
(7):1557
WHO (2011) Nitrate and nitrite in drinking-water: background document for development of WHO
guidelines for drinking-water quality. World Health Organization (WHO)
WHO (2017) Progress on drinking water, sanitation and hygiene: 2017 update and SDG baselines.
World Health Organization (WHO) and the United Nations Children’s Fund (UNICEF)
Winkel L, Berg M, Amini M, Hug SJ, Johnson CA (2008) Predicting groundwater arsenic
contamination in Southeast Asia from surface parameters. Nat Geosci 1(8):536
Yadav KK, Kumar S, Pham QB, Gupta N, Rezania S, Kamyab H, Yadav S, Vymazal S, Kumar V,
Tri DQ (2019) Fluoride contamination, health problems and remediation methods in Asian
groundwater: a comprehensive review. Ecotoxicol Environ Saf 182:109362
Yang N, Winkel LHE, Johannesson KH (2014) Predicting geogenic arsenic contamination in
shallow groundwater of South Louisiana, United States. Environ Sci Technology 48
(10):5660–5666
Zhou Z (2015) A global assessment of nitrate contamination in groundwater. International Groundwater Resources Assessment Center. Internship report
4 Application of Artificial Intelligence in Predicting Groundwater Contaminants
105