Groundwater salinity in the Horn of Africa: Spatial prediction modeling and estimated people at risk-Reference-Cited by-同舟云学术

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Groundwater salinity in the Horn of Africa: Spatial prediction modeling and estimated people at risk

Published:2023-06 Issue: Volume:176 Page:107925
ISSN:0160-4120
Container-title:Environment International
language:en
Short-container-title:Environment International

Author:

Araya Dahyann,Podgorski Joel,Berg Michael

Funder

Direktion für Entwicklung und Zusammenarbeit

Publisher

Elsevier BV

Subject

General Environmental Science

Reference114 articles.

1. Salt-affected soils and theirmanagement;Abrol,1988

2. Acacia, 2020a. Acacia Data GW4E, Water quality inventory 2020.

3. Acacia, 2020b. The waterpoint data in waterpoints MoWIE.

4. Hydrogeochemical and Isotope Hydrology in Investigating Groundwater Recharge and Flow Processes;Addisu Deressa Geleta,2012

5. Groundwater Resource Evaluation and Sustainable Management in Adelle and Haromaya Dry Lake Catchment;Adem,2012

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1. Advancing groundwater quality predictions: Machine learning challenges and solutions;Science of The Total Environment;2024-11

2. Spatial prediction of groundwater salinity in multiple aquifers of the Mekong Delta region using explainable machine learning models;Water Research;2024-11

3. Groundwater salinity modeling and mapping using machine learning approaches: a case study in Sidi Okba region, Algeria;Environmental Science and Pollution Research;2024-07-23

4. Advancing groundwater vulnerability assessment in Bangladesh: a comprehensive machine learning approach;Groundwater for Sustainable Development;2024-05

5. Groundwater Salinity Across India: Predicting Occurrences and Controls by Field-Observations and Machine Learning Modeling;Environmental Science & Technology;2024-02-15

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