Assessment of groundwater nitrate contamination hazard in a semi-arid region by using integrated parametric IPNOA and data-driven logistic regression models-Reference-Cited by-同舟云学术

Assessment of groundwater nitrate contamination hazard in a semi-arid region by using integrated parametric IPNOA and data-driven logistic regression models

Published:2018-10-04 Issue:11 Volume:190 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Rizeei Hossein Mojaddadi,Azeez Omer Saud,Pradhan Biswajeet^ORCID,Khamees Hayder Hassan

Funder

University of Technology Sydney

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

http://link.springer.com/article/10.1007/s10661-018-7013-8/fulltext.html

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3. Abdulkareem, J. H., Sulaiman, W. N. A., Pradhan, B., & Jamil, N. R. (2018a). Long-term hydrologic impact assessment of non-point source pollution measured through land use/land cover (LULC) changes in a tropical complex catchment. Earth Systems and Environment, 2(1), 67–84. https://doi.org/10.1007/s41748-018-0042-1 .

4. Abdulkareem, J. H., Pradhan, B., Sulaiman, W. N. A., & Jamil, N. R. (2018b). Quantification of runoff as influenced by morphometric characteristics in a rural complex catchment. Earth Systems and Environment, 2(1), 145–162. https://doi.org/10.1007/s41748-018-0043-0 .

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