Towards sustainable industrial development: modelling the quality, scaling potential and corrosivity of groundwater using GIS, spatial statistics, soft computing and index-based methods-Reference-Cited by-同舟云学术

Towards sustainable industrial development: modelling the quality, scaling potential and corrosivity of groundwater using GIS, spatial statistics, soft computing and index-based methods

Published:2024-06-21 Issue: Volume: Page:
ISSN:1573-2975
Container-title:Environment, Development and Sustainability
language:en
Short-container-title:Environ Dev Sustain

Author:

Agbasi Johnson C.^ORCID,Abu Mahamuda^ORCID,Egbueri Johnbosco C.^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10668-024-05105-3.pdf

Reference118 articles.

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4. Abu, M., Zango, M. S., Nunoo, S., & Anim-Gyampo, M. (2023b). Groundwater characterization including prediction of the quality, fluoride, and nitrate occurrence in a typical artisanal mining area in Ghana: A hydrochemical and multivariate statistical approach. Groundwater for Sustainable Development. https://doi.org/10.1016/j.gsd.2023.101041

5. Agbaogun, B. K., Olu-Owolabi, B. I., Buddenbaum, H., & Fischer, K. (2023). Adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) modelling of Cu, Cd, and Pb adsorption onto tropical soils. Environmental Science and Pollution Research, 30(11), 31085–31101. https://doi.org/10.1007/s11356-022-24296-8

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