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The Jordan Valley (JV) is a critical region where the interplay of water, energy, food, and ecosystem (WEFE) dynamics presents both challenges and opportunities for sustainable development and climate change mitigation and adaptation. In such a transboundary river basin with acute nexus problems and a long history of conflicts, it is essential that conscious efforts are made to pluralize the debate and actively encourage stakeholders' empowerment, participation and fair collaboration in strategic planning. An integrated framework for participatory strategic planning in the WEFE nexus is proposed, which has been developed in the context of the JV case study.

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Abundance of non-toxic and low-level toxic Pseudo-nitzschia explains the low levels of neurotoxin domoic acid in Chinese coastal waters.

J Hazard Mater

January 2025

Guangdong Provincial Key Laboratory of Biotechnology for Plant Development, Guangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, College of Life Science, South China Normal University, West 55 of Zhongshan Avenue, Guangzhou 510631, China. Electronic address:

Domoic acid (DA), a well-known marine neurotoxin, is produced by toxic Pseudo-nitzschia species. However, the knowledge of DA in Chinese coastal waters remains limited, and the primary biological sources in these waters are still unknown. In this study, 200 surface phytoplankton samples were collected during summer and spring, covering the entire Chinese coastline.

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Prevalence and Factors Associated with Waterborne Diseases in Couffo, Southwestern Benin: The Case of Aplahoué.

Int J Environ Res Public Health

January 2025

Occupational Health Unit and Environmental Toxicology, School of Public Health, Free University of Brussels, 1070 Brussels, Belgium.

Water-related diseases are among the infectious diseases that represent a major public health challenge in developing countries. This study aimed to assess the prevalence of waterborne diseases and the factors associated with their occurrence in the commune of Aplahoué, located in southwestern Benin. A cross-sectional analytical study was conducted among 125 households selected through simple random sampling in the commune.

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Historical topographical maps contain valuable, spatially and thematically detailed information about past landscapes. Yet, for analyses of landscape dynamics through geographical information systems, it is necessary to "unlock" this information via map processing. For two study areas in northern and central Jutland, Denmark, we apply object-based image analysis, vector GIS, colour image segmentation, and machine learning processes to produce machine-readable layers for the land use and land cover categories forest, wetland, heath, dune sand, and water bodies from topographic maps from the late nineteenth century.

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The target reservoir is a typical blocky bottom water reservoir. There are several interlayers of varying scales inside it, which impact the characteristics of the oil production and water breakthrough curves of the wells in the water flooding development oilfield, resulting in strong heterogeneity within the reservoir. The Sangtamu Oilfield has an average well spacing of approximately 600 m, causing a challenge in accurately identifying the range of small-scale interlayer spreading.

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