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Detecting the spatial heterogeneity in the potential occurrence probability of water disasters is a foremost and critical issue for the prevention and mitigation of water disasters. However, it is also a challenging task due to the lack of effective approaches. In the article, the entropy index was employed and those daily rainfall data at 520 stations were used to investigate the occurrences of rainstorms in China. Results indicated that the entropy results were mainly determined by statistical characters (mean value and standard deviation) of rainfall data, and can categorically describe the spatial heterogeneity in the occurrence of rainstorms by considering both their occurrence frequencies and magnitudes. Smaller entropy values mean that rainstorm events with bigger magnitudes were more likely to occur. Moreover, the spatial distribution of entropy values kept a good relationship with the hydroclimate conditions, described by the aridity index. In China, rainstorms are more to likely occur in the Pearl River basin, Southeast River basin, lower-reach of the Yangtze River basin, Huai River basin, and southwest corner of China. In summary, the entropy index can be an effective alternative for quantifying the potential occurrence probability of rainstorms. Four thresholds of entropy value were given to distinguish the occurrence frequency of rainstorms as five levels: very high, high, mid, low and very low, which can be a helpful reference for the study of daily rainstorms in other basins and regions.
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http://dx.doi.org/10.3390/e20120958 | DOI Listing |
J Environ Manage
September 2025
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Dissolved oxygen (DO) is a key water quality indicator reflecting river health. Modeling and understanding the spatiotemporal dynamics of DO and its influencing factors are crucial for effective river management. Machine learning (ML) models have gained popularity in water quality prediction; however, their accuracy strongly depends on the predictor variables.
View Article and Find Full Text PDFPlant J
September 2025
State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Science, Wuhan, Hubei, 430074, China.
Trapa L. is a non-cereal aquatic crop with significant economic and ecological value. However, debates over its classification have caused uncertainties in species differentiation and the mechanisms of polyploid speciation.
View Article and Find Full Text PDFThe Ordos Basin's Hangjinqi Shiligahan west zone Xiashihezi Formation 1 Member gas reservoir exhibits significant exploration and development potential. However, its sedimentation and reservoir characteristics are poorly understood. To address this, geological, seismic, macroscopic, and microscopic methods are combined.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
Department of Geography, Rampurhat College, University of North Bengal, Darjeeling, 734013, India.
Catastrophic climate events such as floods significantly impact infrastructure, agriculture, and the economy. The lower Gandak River basin in India is particularly flood-prone, with Bihar experiencing annual losses of life and property due to massive flooding. Identifying flood-prone zones in this region is essential.
View Article and Find Full Text PDFFront Reprod Health
August 2025
Ipas Nepal, Kathmandu, Nepal.
Background: Nepal is highly affected by climate change, experiencing glacier melting, untimely rainfall, floods, landslides, forest fires, and droughts, which collectively impact over 10 million people. There is a larger impact of climate change on human health, but its impact on women's and girls' sexual and reproductive health and rights is yet to be explored. Thus, this study aims to understand the linkages between climate change and the unique impact on gender and sexual, and reproductive health and rights (SRHR).
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