4.4 Article

Evaluating the impact of climate change and geo-environmental factors on flood hazards in India: An integrated framework

期刊

GEOLOGICAL JOURNAL
卷 58, 期 9, 页码 3515-3543

出版社

WILEY
DOI: 10.1002/gj.4729

关键词

climate change; extreme climate events; flood hazard; natural hazards

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Among natural hazards, flooding poses a significant threat to society, causing extensive damage worldwide. Climate change and land use change patterns are expected to increase the intensity and frequency of floods. This paper analyzes floods in India and their relationship with climate change and land use change. Three models were used to create a flood susceptibility map, and their results were validated. The study also considered future rainfall scenarios and found an increasing tendency of flood hazards. The EBO model showed notable potential for effective flood planning and management. Country-specific information and regional planning can help decision-makers implement sustainable measures to mitigate these hazards.
Among several devastating natural hazards, flooding is a common and serious threat to society causing huge loss of lives, properties, and infrastructure throughout the world. The intensity and frequency of this extreme weather event are expected to increase due to significant changes in the present-day climate and land use and land cover (LULC) pattern. India has a very systematic and organized structural program and policies but lacks proper implementations, and adverse effect of climate change and the extreme event goes on in society. This paper is an analysis of floods in India and hazards due to climate change and LULC change patterns. Three models, namely Eco-biogeography-based optimization (EBO), Random forest (RF), and Support vector machine (SVM) were used to obtain the final output to prepare a Flood susceptibility map . The result was validated through the Receiver operating characteristics (ROC) with Area under curve (AUC) values. The future rainfall scenario has been estimated by considering the General circulation models through different shared socioeconomic pathways (SSPs) . The values of AUC are 0.915 (EBO), 0.887 (RF), and 0.869 (SVM), respectively. After consideration of different SSPs, the result shows that there is an increasing tendency of flood hazards in the projected period. Among all the employed modelling approaches, the EBO model has notable potential in delineating the possible flood-prone regions for effective flood planning and management. Decision-makers can benefit from country-specific information and regional planner to implement sustainable and long-term measures to overcome this type of hazardous situation.

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