Figure - available from: Environment Development and Sustainability
This content is subject to copyright. Terms and conditions apply.
Spatial distribution of different risk levels of flooding in the Yangtze River Economic Zone

Spatial distribution of different risk levels of flooding in the Yangtze River Economic Zone

Source publication
Article
Full-text available
China is an extremely sensitive nation severely impacted by global climate change, with frequent floods in the Yangtze River Economic Zone causing severe socioeconomic losses and ecological and environmental issues. To investigate the potential industry-related economic losses and comprehensive hazards of flooding in the Yangtze River Economic Zone...

Similar publications

Article
Full-text available
Precipitation nowcasting refers to the accurate and timely forecasting of rainfall in a certain area for the near future, which plays a key role in severe convective weather warnings, water resources, and flood risk management. Rainfall data sample imbalance has always been an important issue that needs to be addressed in precipitation forecasting....
Preprint
Full-text available
The evolution and acceleration of the effects of climate change on the water cycle demand adaptation and mitigation plans. Consequently, the implementation of public policies (management, governance, and strategy) regarding flood risk management or prevention (such as levee heights and spillway dimensions of dams) is based on the characterization o...
Article
Full-text available
Flood is one of the natural or manmade hydrological events in a river basin hydrological cycle. This is the one of the major disasters in Sri Lanka. Flood susceptibility mapping and assessment is essential for identifying flood risk zones and flood prevention and mitigation strategies because it identifies the most vulnerable areas based on the phy...
Preprint
Full-text available
Flood is the second major hazard in Ethiopia, next to drought. The reason behind this is the topography of highland mountains and lowland plains with natural drainage networks created by primary river lines. The study area, Awash River Basin nowadays, encounters several environmental challenges such as land degradation, high growth of population de...
Article
Full-text available
Climate and land use changes have exacerbated the frequency and intensity of floods in West Africa. In Togo, the communities of the Zio river sub-basin are regularly affected by flood hazard with severe socioeconomic consequences. The main objective of this article is to contribute to the improvement of the resilience of these populations through a...

Citations

... This method has a strong mathematical theoretical foundation, making it more objective and scientifically grounded. Many scholars have employed objective weighting methods to assess risk or vulnerability [23][24][25] . In recent years, machine learning models have also been applied to risk assessments in addition to the entropy weight method 26 . ...
Article
Full-text available
In vulnerability assessments, accurately determining the indicator weights is essential to ensure the results’ precision and reliability. This paper proposes an optimized comprehensive symmetric Kullback–Leibler (K–L) distance weighting method, in which the comprehensive symmetric K–L distance for each indicator is calculated using a grid-based approach, and the normalized distance serves as the weight for each indicator. ArcGIS software was employed to assess the Ili River Basin flood vulnerability as a case study. The results reveal the following: (1) The grid-based optimized symmetric K–L distance method facilitated variable weight processing in the disaster assessments, where it offered a scientific and adaptable approach for indexing and weighting the Ili River Basin flood vulnerability, thus improving both the evaluation accuracy and practicality. (2) The spatial distribution of the Ili River Basin flood vulnerability levels was uneven, with higher vulnerability observed in the northwestern, southwestern, and southeastern regions, and lower vulnerability in the eastern and northeastern areas. Yining County, Yining City, and certain southern regions of Cocodala City were particularly vulnerable due to multiple influencing factors, including the population, economy, and society. These areas require focused attention and preventive measures.