[HTML][HTML] Applications of machine learning to water resources management: A review of present status and future opportunities

AA Ahmed, S Sayed, A Abdoulhalik, S Moutari… - Journal of Cleaner …, 2024 - Elsevier
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …

[HTML][HTML] Estimating water balance components and their uncertainty bounds in highly groundwater-dependent and data-scarce area: An example for the Upper …

SR Rusli, AH Weerts, A Taufiq, VF Bense - Journal of Hydrology: Regional …, 2021 - Elsevier
Study region Upper region of the Citarum basin in Indonesia. Study focus Assessing water
balance components in data-scarce regions using different approaches could result in …

A comparative study of data-driven models for groundwater level forecasting

R Sarma, SK Singh - Water Resources Management, 2022 - Springer
Irregular rainfall patterns and limited freshwater availability have driven humans to increase
their dependence on groundwater resources. An essential aspect of effective water …

Utilization of Machine Learning Models and Satellite Data for the Estimation of Total Dissolved Solids in the Colorado River System

GE Adjovu, T Ali Shaikh, H Stephen… - … and Water Resources …, 2023 - ascelibrary.org
Salinity or TDS-related issues are a major cause of economic loss due to their devastating
impact on agricultural production. The Colorado River Basin (CRB) Salinity Control Act …

[图书][B] The geography of contemporary urbanization and its effects on landscape sustainability in Harare Metropolitan Province

AK Marondedze - 2022 - search.proquest.com
This doctoral thesis examines independent variables as explanatory drivers influencing
urban growth, axis of urban expansion and the impact of current and future land use and …

[PDF][PDF] Groundwater for Sustainable Development

SR Rusli, VF Bense, A Taufiq, AH Weerts - researchgate.net
Assessing basin-scale groundwater storage changes is often difficult when groundwater
table data are scarce. In this study, we quantify the groundwater storage changes by using …