The Mekong River provides water, food security, and many other valuable benefits to the more than 60 million Southeast Asian residents living within its basin. However, the Mekong River Basin is increasingly stressed by changes in climate, land cover, and infrastructure. These changes can affect water quantity and quality and exacerbate related hazards such as land subsidence and saltwater intrusion, resulting in multiple compounding risks for neighboring communities. In this study, we demonstrate the connection between climate change, groundwater availability, and social vulnerability by linking the results of a numerical groundwater model to land cover and socioeconomic data at the Cambodia-Vietnam border in the Mekong River Delta region. We simulated changes in groundwater availability across 20 years and identified areas of potential water stress based on domestic and agriculture-related freshwater demands. We then assessed adaptive capacity to understand how communities may be able to respond to this stress to better understand the growing risk of groundwater scarcity driven by climate change and overextraction. This study offers a novel approach for assessing risk of groundwater scarcity by linking the effects of climate change to the socioeconomic context in which they occur. Increasing our understanding of how changes in groundwater availability may affect local populations can help water managers better plan for the future, leading to more resilient communities.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588840 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0292991 | PLOS |
PeerJ
December 2024
Department of Environmental Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand.
Introduction: is a freshwater turtle species endemic to northeastern Thailand and Lao PDR. While is relatively common and widespread in Thailand, its population size and demographic trends remain largely unknown, as direct population estimates are lacking. This species faces significant threats from consumption, exploitation, and trade.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
International Centre for Informatics and Disaster Resilience, Loughborough University, UK.
Rivers are primary vectors of plastic debris to oceans, but sources, transport mechanisms, and fate of fluvial microplastics (<5 mm) remain poorly understood, impeding accurate predictions of microplastic flux, ecological risk and socio-economic impacts. We report on microplastic concentrations, characteristics and dynamics in the Mekong River, one of the world's largest and polluting rivers, in Cambodia and Vietnam. Sampling throughout the water column at multiple localities detected an average of 24 microplastics m (0.
View Article and Find Full Text PDFArch Public Health
November 2024
Fuwai Yunnan Hospital, Chinese Academy of Medical Sciences, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, China.
Background: Under the background of similar geography and culture in Lancang-Mekong countries and rapid changes in the regional economy and lifestyle, this study aimed to describe and compare the prevalence, awareness, treatment, and control of hypertension and assess the hypertension care cascade in three provinces of China, Laos, and Cambodia.
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Front Vet Sci
November 2024
Department of Civil and Architectural Engineering and Mechanics, University of Arizona, Tucson, AZ, United States.
Introduction: Infection with liver flukes (Opisthorchis viverrini) is partly attributed to their ability to thrive in sub-basin habitats, causing the intermediate host to remain within the watershed system throughout the year. It is crucial to conduct spatial monitoring of fluke infection at a small basin analysis scale as it helps in studying the spatial factors influencing these infections. The number of infected individuals was obtained from local authorities, converted into a percentage, and visually represented as raster data through a heat map.
View Article and Find Full Text PDFJ Environ Manage
December 2024
Disaster Prevention Research Institute (DPRI), Kyoto University, Uji-shi, Japan.
The development of cascading hydropower dams in river basins has significantly altered natural flow regimes in recent decades. This study investigates hydrological alterations caused by cascading hydropower dams in the Lancang-Mekong River Basin (LMRB) by integrating the Indicators of Hydrologic Alteration (IHA) method with non-regulated flow predicted using the Random Forest (RF) machine learning (ML) technique. The analysis focuses on four hydrological stations: Chiang Saen, Mukdahan, Pakse, and Stung Treng across pre-impact (1961-1991), transition (1992-2008), and post-impact (2009-2021) periods.
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