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Water scarcity has increased dramatically in many parts of the world and has become a major environmental problem globally in recent years. To address this challenge, researchers are continuously exploring and investigating different water sources and the relevant abstraction method. South Asian countries are not an exception in this regard. Specifically, how optimization has been done during the water abstraction process is becoming a key research agenda in South Asian region. This study attempts to systematically review the optimization of groundwater abstraction research in the South Asian region. First, bibliometric analysis has been performed to quantitatively assess the current research trends in the optimization of groundwater abstraction research. Second, a qualitative analysis has been done to get more insights into the different abstraction methods and simulation models used in groundwater abstraction research. This study has addressed the gap and explored research streams through scientific and conceptual mapping of the optimization of groundwater abstraction research. As revealed, the year 2020 is the most productive in groundwater abstraction research. Indian Institute of Technology and India were found to be the most impactful institution and countries in this field. The most studied area in groundwater abstraction research was found to be sustainable groundwater management, the geochemical process of controlling groundwater evolution, the Spatio-temporal variability of groundwater and the supply-demand of water during dry seasons. As revealed, statistical and mathematical modelling analysis is the most used approach in these studies. The findings of this study suggested that the water scarcity problem can be fixed by improving the design and operational techniques of the groundwater abstraction method and by using the different water sources collectively. This study further provides future directions and opportunities for research in the field of the groundwater abstraction process.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320124 | PMC |
http://dx.doi.org/10.1016/j.heliyon.2023.e17528 | DOI Listing |
Sheng Wu Gong Cheng Xue Bao
August 2025
School of Resources and Environment, Henan Polytechnic University, Jiaozuo 454000, Henan, China.
To explore the differences in biological gas production in the waterlogged zone of a coal seam fire-affected area, in this study the gas production experiment was conducted with the mine water from aquitard layers in coal seam fire zones in Xinjiang. The results showed that the biogas production first increased and then decreased with the increase in distance, and the highest gas production reached 216.55 mL.
View Article and Find Full Text PDFWater Res
August 2025
Environmental Technology - Wageningen University and Research (Bornse Weilanden 9, 6708WG Wageningen, the Netherlands. Electronic address:
Managed aquifer recharge (MAR) systems can reduce the stress on groundwater resources by intentionally infiltrating and abstracting (surface) water for drinking water production. Organic micropollutant (OMP) removal and transformation products (TPs) formation in MAR depend on several factors, including their sorption and biodegradation potential. Via target and non-target analyses, we monitored OMPs (parent compounds + TPs) from infiltrated water to abstracted groundwater and drinking water.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Water and Water Structures Engineering, Faculty of Engineering, Zagazig University, Zagazig, Egypt.
Groundwater is being utilized as a major freshwater resource in numerous nations across the world, particularly in arid and semi-arid countries like Egypt. The main objective of this study is to simulate the impact of groundwater abstraction and saltwater intrusion in the Moghra aquifer using MODFLOW and SEAWAT. Various abstraction rate scenarios from wells were modeled for a 100-year cultivation project period to study the impact of abstraction on aquifer drawdown.
View Article and Find Full Text PDFHuan Jing Ke Xue
August 2025
College of Land and Resources, Hebei Agricultural University, Baoding 071000, China.
Accurate monitoring of the spatial distribution characteristics of soil salinization and its influencing factors is crucial for combating soil degradation and ensuring global food security. Although studies have been conducted using machine learning to predict soil salinization, local modeling studies incorporating spatial information are still limited. Meanwhile, selecting influencing factors from a global perspective to develop precise prevention and control measures for the region is difficult.
View Article and Find Full Text PDFJ Environ Manage
August 2025
College of Science, Technology, Engineering & Mathematics, Murdoch University, Murdoch, WA, 6150, Australia. Electronic address:
For the first time, groundwater treatment sludge was integrated with g-CN towards highly efficient and cost-effective visible-light-initiated catalysts for organic removal. The optimized sample of g-CN/GWS-M(2.5 %), which was synthesized using the sludge rich in Al and Fe, was explored with improved photocatalytic activity.
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