Quantification of contamination, ecological risk index, and health risk assessment of groundwater using artificial neural network and multi-linear regression modeling approaches within Egbema, Nigeria-Reference-Cited by-同舟云学术

Quantification of contamination, ecological risk index, and health risk assessment of groundwater using artificial neural network and multi-linear regression modeling approaches within Egbema, Nigeria

Published:2023-08-09 Issue:9 Volume:16 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Akakuru Obinna Chigoziem^ORCID,Eyankware Moses Oghenenyoreme,Akakuru Ozioma Udochukwu,Nkwoada Amarachi Udoka,Agunanne Victoria Chinwendu

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s12517-023-11600-0.pdf

Reference69 articles.

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2. Aigbadon GO, Akakuru OC, Chinyem FI et al (2023a) Facies analysis and sedimentology of the Campanian–Maastrichtian sediments, southern Bida Basin, Nigeria. Carbonates Evaporites 38:27. https://doi.org/10.1007/s13146-023-00848-y

3. Aigbadon GO, Akakuru OC, Akudo EO, Onyekuru SO (2023b) Facies, textural and geochemical evaluation of the post-Santonian sandstones in the Bida basin, Nigeria: implications for control on hydrocarbon sandstone reservoir characteristics and paleoenvironments. Unconventional Resources. https://doi.org/10.1016/j.uncres.2023.03.004

4. Aigbadon GO, Igwe EO, Ocheli A, Overare B, Akakuru OC, Akudo EO, Obasi IA, Jamilu Ahmed Bala II, Aminu M’a B (2023c) Sedimentary facies, paleoenvironments and paleogeography of the upper cretaceous succession in the southern Bida Basin, Nigeria. Arab J Geosci. https://doi.org/10.1007/s12517-023-11390-5

5. APHA (2012) Making, a. & decision, C. Am J Public Health:102(1)

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