GIS-based comparative characterization of groundwater quality of Tabas basin using multivariate statistical techniques and computational intelligence

A. Aryafar; V. Khosravi; F. Hooshfar

doi:10.1007/s13762-018-2034-y

GIS-based comparative characterization of groundwater quality of Tabas basin using multivariate statistical techniques and computational intelligence

International Journal of Environmental Science and Technology ◽

10.1007/s13762-018-2034-y ◽

2018 ◽

Vol 16 (10) ◽

pp. 6277-6290

Author(s):

A. Aryafar ◽

V. Khosravi ◽

F. Hooshfar

Keyword(s):

Groundwater Quality ◽

Computational Intelligence ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Comparative Characterization

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Application of multivariate statistical techniques for the characterization of groundwater quality of Bacheli and Kirandul area, Dantewada district, Chattisgarh

Journal of the Geological Society of India ◽

10.1007/s12594-018-0822-0 ◽

2018 ◽

Vol 91 (1) ◽

pp. 76-80 ◽

Cited By ~ 5

Author(s):

Bhagirathi Behera ◽

Mira Das

Keyword(s):

Groundwater Quality ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical

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Application of Multivariate Statistical Techniques for Characterization of Groundwater Quality in the Coastal Aquifer of Nador, Tipaza (Algeria)

Acta Geophysica ◽

10.1515/acgeo-2016-0027 ◽

2016 ◽

Vol 64 (3) ◽

pp. 670-693 ◽

Cited By ~ 5

Author(s):

Abdelkader Bouderbala ◽

Boualem Remini ◽

Abdelamir Saaed Hamoudi ◽

Antonio Pulido-Bosch

Keyword(s):

Groundwater Quality ◽

Coastal Aquifer ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical

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Multivariate statistical techniques for the evaluation of groundwater quality of Amaravathi River Basin: South India

Applied Water Science ◽

10.1007/s13201-017-0627-0 ◽

2017 ◽

Vol 7 (8) ◽

pp. 4633-4649 ◽

Cited By ~ 8

Author(s):

K. Loganathan ◽

A. Jafar Ahamed

Keyword(s):

Groundwater Quality ◽

River Basin ◽

South India ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical

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Evaluation of groundwater quality of the Quaternary aquifer through multivariate statistical techniques at the southeastern part of the Nile Delta, Egypt

Sustainable Water Resources Management ◽

10.1007/s40899-017-0087-6 ◽

2017 ◽

Vol 3 (1) ◽

pp. 71-81 ◽

Cited By ~ 3

Author(s):

M. A. El-Fakharany ◽

N. M. Mansour ◽

M. M. Yehia ◽

M. Monem

Keyword(s):

Groundwater Quality ◽

Nile Delta ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Southeastern Part ◽

Quaternary Aquifer

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Evaluation of Groundwater Quality Variations Using Geographical Information System (GIS) and Multivariate Statistical Techniques: A Case Study from Qa’Jahran Basin, Dhamar, Yemen

Water Resources in Arid Lands: Management and Sustainability - Advances in Science, Technology & Innovation ◽

10.1007/978-3-030-67028-3_11 ◽

2021 ◽

pp. 131-145

Author(s):

Nabil M. AL-Areeq ◽

Hadi A. Quriaa ◽

Ahmed M. AL-Areeq ◽

Amer M. Al-Sabri

Keyword(s):

Information System ◽

Groundwater Quality ◽

Geographical Information System ◽

Geographical Information ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical

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Assessment of surface water quality of Pagladia, Beki and Kolong rivers (Assam, India) using multivariate statistical techniques

International Journal of River Basin Management ◽

10.1080/15715124.2019.1566236 ◽

2019 ◽

Vol 18 (4) ◽

pp. 511-520 ◽

Cited By ~ 3

Author(s):

Kunwar Raghvendra Singh ◽

Ankit Pratim Goswami ◽

Ajay S Kalamdhad ◽

Bimlesh Kumar

Keyword(s):

Water Quality ◽

Surface Water ◽

Surface Water Quality ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical

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Spatial characterization of dissolved trace elements and heavy metals in the upper Han River (China) using multivariate statistical techniques

Journal of Hazardous Materials ◽

10.1016/j.jhazmat.2009.11.069 ◽

2010 ◽

Vol 176 (1-3) ◽

pp. 579-588 ◽

Cited By ~ 136

Author(s):

Siyue Li ◽

Quanfa Zhang

Keyword(s):

Heavy Metals ◽

Trace Elements ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Spatial Characterization ◽

Han River ◽

Dissolved Trace Elements

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Assessment of irrigation water quality of Turkey using multivariate statistical techniques and water quality index: Siddikli Dam Lake

10.5004/dwt.2018.22302 ◽

2018 ◽

Vol 115 ◽

pp. 261-270 ◽

Cited By ~ 2

Author(s):

Tamer Akkan ◽

Okan Yazicioglu ◽

Ramazan Yazici ◽

Mahmut Yilmaz

Keyword(s):

Water Quality ◽

Irrigation Water ◽

Water Quality Index ◽

Quality Index ◽

Statistical Techniques ◽

Irrigation Water Quality ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical

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Temporal and spatial variations in water quality of Changjiang River Basin in Luzhou, China based on multivariate statistical techniques

10.5004/dwt.2019.23568 ◽

2019 ◽

Vol 145 ◽

pp. 151-159 ◽

Cited By ~ 1

Author(s):

Kaihuang Xiao ◽

Jia Yang ◽

Yunxiang Li ◽

Qiumei Quan

Keyword(s):

Water Quality ◽

River Basin ◽

Spatial Variations ◽

Statistical Techniques ◽

Changjiang River ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Temporal And Spatial Variations ◽

Temporal And Spatial

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Use of multivariate statistical techniques for the evaluation of temporal and spatial variations in water quality of the Kaduna River, Nigeria

Environmental Monitoring and Assessment ◽

10.1007/s10661-015-4354-4 ◽

2015 ◽

Vol 187 (3) ◽

Cited By ~ 27

Author(s):

Toochukwu Chibueze Ogwueleka

Keyword(s):

Water Quality ◽

Spatial Variations ◽

Statistical Techniques ◽

Multivariate Statistical Techniques ◽

Multivariate Statistical ◽

Temporal And Spatial Variations ◽

Temporal And Spatial

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