
Stochastic Environmental Research and Risk Assessment, Journal Year: 2025, Volume and Issue: unknown
Published: May 7, 2025
Language: Английский
Stochastic Environmental Research and Risk Assessment, Journal Year: 2025, Volume and Issue: unknown
Published: May 7, 2025
Language: Английский
Water Resources Management, Journal Year: 2025, Volume and Issue: unknown
Published: March 27, 2025
Language: Английский
Citations
0Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 20, 2025
Flooding is one of the most devastating natural disasters in worldwide, with significant socioeconomic and environmental impacts. In such a scenario, flood susceptibility analysis essential for successful risk management disaster preparedness. The Larkana district located densely populated area Sindh province, approximately 1.8 million population 0.32 households, highly susceptible to floods due its geographical location, river systems, hot climatic patterns extremely high temperature summer mild winter. often faces risks mainly monsoon rains overflow Indus River which lead widespread flooding. research aims identify quantify key factors, including rainfall pattern, distance river, topography, land use/land cover, soil texture, vegetation index, drainage infrastructure. AHP was applied prioritize these factors based on expert opinions their relative significance contributing vulnerability. GIS employed spatial mapping zones, allowing detailed visualization high-risk areas across district. For this study, various data sources as topographic data, use landcover information, infrastructure were used develop comprehensive model. method determine weights consistency ratio (CR) techniques generate maps by considering all nine factors. Flood levels further classified into five different classes very low, moderate, high. By using AHP, each parameter calculated percentage, it determined that four out parameters had 79% impact hazard. These are ranked influential hazards study area, rainfall, slope, elevation having greatest influences, while LULC, TWI, NDVI, type, curvature 21% impacts, much less compared top parameters. After that, reclassified. superimposed weighted overlay order show 7.65% entire at risk, 63.89% 28.38% moderate 0.12% low risk. findings established complete model will facilitate policymakers authorities identifying locations prioritizing mitigation measures, ultimately reducing local communities
Language: Английский
Citations
0International Multidisciplinary Scientific GeoConference SGEM ..., Journal Year: 2025, Volume and Issue: 24, P. 201 - 208
Published: Feb. 15, 2025
As the climate changes, EU is experiencing heavier rainfall, harsher storms and rising sea levels. According to European Environment Agency (EEA), consequences of fluvial, pluvial coastal floods in Europe will overall worsen as a result local regional increases intensity frequency flooding [1]. The article concerns indication functionality available QGIS software identification critical infrastructure objects Poland Czech Republic along with risk analysis. research aims showcase capabilities mapping utilizing geoprocessing tools create buffers, or protective zones, around these infrastructures. study highlights that provides broad access spatial data. With rapid advancement technology, we can anticipate significant growth mobile-GIS, enhancing GIS databases via mobile devices for real-time data acquisition, management, updates. diverse technical organizational solutions underscore necessity universal standards norms this field. This illustrates use security engineering, such aiding decision-making public administration agencies responsible safety emergency management. Properly chosen software, based on prepared data, address numerous engineering challenges by facilitating process. identifies potential infrastructure, maps their locations, generates buffers assigned classifications. These be instrumental during crises like pandemics. Each zone linked specific anti-crisis measures define actions services, control disinfection. offer comprehensive operational view, efficiency processes.
Language: Английский
Citations
0Water Resources Management, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Citations
0Stochastic Environmental Research and Risk Assessment, Journal Year: 2025, Volume and Issue: unknown
Published: May 7, 2025
Language: Английский
Citations
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