Spatio-temporal distribution of groundwater recharge under climate change in the Namngum++ river basin in lower Mekong region DOI
Santosh Dhungana, Sangam Shrestha,

Pragya Pradhan

и другие.

Groundwater for Sustainable Development, Год журнала: 2024, Номер 25, С. 101171 - 101171

Опубликована: Апрель 3, 2024

Язык: Английский

A Review of Managed Aquifer Recharge Potential in the Middle East and North Africa Region with Examples from the Kingdom of Saudi Arabia and the United Arab Emirates DOI Open Access
Mohsen Sherif, Ahmed Sefelnasr,

Muhammad Al Rashed

и другие.

Water, Год журнала: 2023, Номер 15(4), С. 742 - 742

Опубликована: Фев. 13, 2023

Groundwater extraction in most Middle East and North Africa (MENA) countries far exceeds its renewability, which ranges from 6% to 100%. Freshwater resources support food production are very limited this region. Future climate predictions include more consistent longer wet periods with increasing surplus rainfall, will enhance flood flash occurrences the MENA. Demand management of groundwater managed aquifer recharge (MAR, also called replenishment, water banking, artificial recharge, is purposeful aquifers for subsequent recovery or environmental benefits) represent essential strategies overcome challenges associated depletion change impacts. Such would enable development MENA region by minimizing stress placed on these resources, as well reducing deterioration quality. augmentation through dams a common practice different around globe. Most were built even few protection act one way another. However, operating systems mostly dependent natural infiltration accumulated reservoir area, application MAR. This review presents analyses renewability effectiveness potential MAR technology. study indicates that efficiency dam’s between 15 47% clustered lower limit. Efficiency reduced clogging bed fine materials. Therefore, there need improve operation using

Язык: Английский

Процитировано

41

Novel concept for water scarcity quantification considering nonconventional and virtual water resources in arid countries: Application in Gulf Cooperation Council countries DOI

Muhammad Al Rashed,

Ahmed Sefelnasr, Mohsen Sherif

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 882, С. 163473 - 163473

Опубликована: Апрель 17, 2023

Язык: Английский

Процитировано

28

A critical review on groundwater level depletion monitoring based on GIS and data-driven models: Global perspectives and future challenges DOI Creative Commons

Md. Moniruzzaman Monir,

Subaran Chandra Sarker, Abu Reza Md. Towfiqul Islam

и другие.

HydroResearch, Год журнала: 2024, Номер 7, С. 285 - 300

Опубликована: Янв. 1, 2024

The present study aims to thoroughly review GWL depletion monitoring studies completed between 2000 and 2023 based on data-driven models GIS approaches from a global perspective. summarizes the details of reviewed papers, including location, period, time scale, key objective, input parameter, applied model, performance metrics, research gaps, limitations, rate. mean rate varied worldwide 2.9 ± 1.56 1100 33.76 mm/yr using 7.6 2.98 2046 45.27 GIS-based approaches. This assesses strength relationships various keywords analyzed co-author networks Vos-viewer. It proposes groundwater development strategy evaluated papers provide long-term solution water scarcity problem. Overall, this highlights existing gaps suggests potential future paths boost associated new knowledge increase accuracy

Язык: Английский

Процитировано

5

Comparison of groundwater storage changes over losing and gaining aquifers of China using GRACE satellites, modeling and in-situ observations DOI

Jiawen Yang,

Yun Pan, Chong Zhang

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 938, С. 173514 - 173514

Опубликована: Май 25, 2024

Язык: Английский

Процитировано

4

Groundwater depletion and annual groundwater recharge estimation in Nineveh Plain, Northern Iraq using GRACE, GLDAS, and field data DOI

Fatima A.J. Abdul Wahab,

Alaa M. Al-Abadi, Ali Z.A. Al-Ozeer

и другие.

Modeling Earth Systems and Environment, Год журнала: 2025, Номер 11(2)

Опубликована: Фев. 4, 2025

Язык: Английский

Процитировано

0

Quantifying climate factor contributions to groundwater level changes under different soil freezing-thawing states with the WT-PCMCI model DOI
Zhe Wang, Xiaogang Shi, Longcang Shu

и другие.

Journal of Hydrology, Год журнала: 2025, Номер 656, С. 132997 - 132997

Опубликована: Март 4, 2025

Язык: Английский

Процитировано

0

Analysis of Groundwater Storage at The Local Scale in the Missan Region, Iraq, Based on GRACE Satellite and Well Data DOI Creative Commons

Hanan Kaduim Mohammed,

Mahmoud Saleh Al-Khafaji, Imzahim A. Alwan

и другие.

Geosciences, Год журнала: 2025, Номер 15(3), С. 91 - 91

Опубликована: Март 3, 2025

Accurate data collection and time series creation are crucial for understanding these changes. However, many areas lack reliable due to geopolitical issues government permissions. Urgent action is needed sustainable water management. This study uses Gravity Recovery Climate Experiment (GRACE) analyze monthly fluctuations in groundwater storage the Missan region of Iraq from January 2022 December 2023, using Goddard Space Flight Center (GSFC) mascon, Jet Propulsion Laboratory Downscaled (JPL_D), Catchment Land Surface Model (CLSM). revealed variability GWS over area RS integration with available monitoring wells. To investigate variability, GSFC, JPL_D, CLSM observed a downward trend 2022; GSFC exhibits highest negative trend, while has lowest trend. Then, June had positive Most period remote sensing that matches well situ, which wells 1, 2, 4 trends period. In conclusion, results improve role small-scale unconfined aquifers, supports decision-making resource The findings illustrated match between derived GRACE data.

Язык: Английский

Процитировано

0

Emerging from the depth: preliminary clues on groundwater upsurge in the coastal city of Zliten, Libya DOI Creative Commons
Majid Nazeer, Gomal Amin, Man Sing Wong

и другие.

Geomatics Natural Hazards and Risk, Год журнала: 2025, Номер 16(1)

Опубликована: Март 10, 2025

Язык: Английский

Процитировано

0

Groundwater drought and anthropogenic amplifiers: A review of assessment and response strategies in arid and semi-arid areas DOI Creative Commons
Abedulla Elsaidy, Estifanos Addisu Yimer,

Yunes Mogheir

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 978, С. 179406 - 179406

Опубликована: Апрель 17, 2025

Groundwater drought, a prolonged period of abnormally low groundwater levels, poses significant threat to the environment, society, and economy. Drought impacts are particularly severe in (semi) arid regions, home over two billion people, where precipitation is scarce unevenly distributed. Despite extensive research on droughts, drought assessment related responses remains underexplored, especially addressing quality. This review addresses this gap by systematically investigating semi-arid regions. The process involved formulating search query, identifying relevant articles, filtering them based selection criteria. As result, 146 studies retrieved from SCOPUS database were fully reviewed. results then analyzed using Drivers, Pressures, State, Impact, Response (DPSIR) framework. explores natural human drivers their interactions, focusing environmental, societal, economic impacts. Assessment often prioritize water quantity quality typically indicate declining trend with heavy reliance field data rather than remote sensing. <40 % use advanced techniques like physical models or artificial intelligence. Responses include management, policy, community strategies, technological nature-based solutions. mainly focus frameworks. Challenges faced stakeholder engagement, public perception, reliable scarcity, high costs. Further needed model connections between impacts, understand dynamics, develop adaptive strategies. promotes intelligence sensing for studying while encouraging international cooperation.

Язык: Английский

Процитировано

0

Groundwater level prediction using deep learning-based recurrent neural network and numerical modeling: a comparative study DOI

Ehsan Hafezifar,

Mojtaba Shourian

Earth Science Informatics, Год журнала: 2025, Номер 18(2)

Опубликована: Апрель 17, 2025

Язык: Английский

Процитировано

0