Advances in Climate Change Research, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 1, 2024
Language: Английский
Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)
Published: Jan. 18, 2025
Language: Английский
Citations
1
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: March 3, 2025
In vulnerability assessments, accurately determining the indicator weights is essential to ensure results' precision and reliability. This paper proposes an optimized comprehensive symmetric Kullback–Leibler (K–L) distance weighting method, in which K–L for each calculated using a grid-based approach, normalized serves as weight indicator. ArcGIS software was employed assess Ili River Basin flood case study. The results reveal following: (1) method facilitated variable processing disaster where it offered scientific adaptable approach indexing vulnerability, thus improving both evaluation accuracy practicality. (2) spatial distribution of levels uneven, with higher observed northwestern, southwestern, southeastern regions, lower eastern northeastern areas. Yining County, City, certain southern regions Cocodala City were particularly vulnerable due multiple influencing factors, including population, economy, society. These areas require focused attention preventive measures.
Language: Английский
Citations
0
Geological Journal, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 27, 2025
ABSTRACT This study presents a comprehensive approach to flood risk assessment and mapping in the Uttarakhand region, India, by integrating geographic information system (GIS) multi‐criteria decision‐making (MCDM). The methodology involves using digital elevation models (DEMs) categorise into five classes, slope analysis evaluate role of terrain steepness drainage density identify areas less susceptible flooding. Average annual rainfall data, classified from meteorological stations, land use/land cover patterns distances rivers roads, were analysed within GIS framework assess susceptibility. analytic hierarchy process (AHP) was employed assign weights these criteria generate index (FRI) map. Key findings indicate that extensive moderate‐to‐high‐risk zones are present, particularly lower regions Uttarakhand. weighted overlay AHP effectively identified at greater results offer valuable insights for management, land‐use planning disaster preparedness, highlighting need targeted interventions enhance resilience region.
Language: Английский
Citations
0
Arabian Journal of Geosciences, Journal Year: 2025, Volume and Issue: 18(4)
Published: March 14, 2025
Language: Английский
Citations
0
Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(3)
Published: March 24, 2025
Language: Английский
Citations
0
Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 15(1)
Published: Aug. 5, 2024
The multidisciplinary approach outlined in this paper aims to assess the correlation between geophysical and social vulnerability for disaster risk reduction. To achieve this, two multi-criteria methods based on Geographic Information Systems (GIS) techniques have been integrated natural hazards North-East Development Region. Analytical Hierarchy Process (AHP) was utilized conduct a comprehensive hazard analysis, including floods, landslides, earthquakes. Principal Component Analysis (PCA) method applied examine spatial distribution of at Local Administrative Unit (LAU level), utilizing 24 variables generate 6 principal components. Based these results Regional Risk Index (RRI) developed using bivariate method, combining multi-hazard with vulnerability. showed that north-eastern part region presents highest risk, encompassing 10.68% administrative units. These can contribute design reduction programs policies.
Language: Английский
Citations
3
Natural Hazards, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 10, 2024
Language: Английский
Citations
3
Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 15(1)
Published: Oct. 21, 2024
Analyzing spatiotemporal patterns of dryness/wetness is important for measures and strategy development the resulting disasters. This research explores projected influence factors in China under two Shared Socioeconomic Pathway (SSP)-based scenarios (SSP245 SSP585). The evaluated by a non-parameter Standardized Precipitation Evapotranspiration Index, analyzed GeoDetector method. result shows that SSP245, dryness more likely to increase autumn. It primarily located North-China, South-China, Middle-lower Yangtze summer autumn South-China Huang-Huai-Hai other seasons. Wetness be enhanced winter, simultaneous precipitation has influence, especially semiarid regions. Under SSP585, throughout except wetness spring winter North-China Southwest China. Temperature greater autumn, on dryness. interaction almost all regions seasons scenarios. results could useful land managers develop strategies mitigate effects climate change.
Language: Английский
Citations
0
International Journal of Systems Assurance Engineering and Management, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 15, 2024
Language: Английский
Citations
0
Advances in Climate Change Research, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 1, 2024
Language: Английский
Citations
0