Development and application of a model for assessing climate-related disaster risk

Yu, Insang

doi:10.1016/j.ijdrr.2022.103218

Cited by 4 publications

(3 citation statements)

References 52 publications

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“…3. The spatial distribution characteristics of meteorological disaster risk were analyzed, but they were not combined with the planning space; instead of being quantitatively combined, the analysis was conducted qualitatively (Heo et al, 2019;Hu et al, 2017;Insang, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Absence of spatial analysis and just a part of the city was analyzed instead of city‐wide (Chen et al, 2022; Ciullo et al, 2017; Joyce et al, 2018; Mancini et al, 2020; Martínez‐Solanas & Basagaña, 2019). The spatial distribution characteristics of meteorological disaster risk were analyzed, but they were not combined with the planning space; instead of being quantitatively combined, the analysis was conducted qualitatively (Heo et al, 2019; Hu et al, 2017; Insang, 2022). …”

Section: Introductionmentioning

confidence: 99%

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Rainstorm and high‐temperature disaster risk assessment of territorial space in Beijing, China

Cheng

Fang

et al. 2023

Meteorological Applications

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It is important for territorial spatial planning to master meteorological disaster risk under the conditions of climate change and then carry out risk adaptation planning according to local conditions. Taking Beijing, a large city in China, as an example, a meteorological disaster risk assessment model was established based on the framework of hazard factors, disaster‐bearing body exposure, and vulnerability of underlying surface. Combined with 11 years of observation data from 293 high‐density weather stations, the rainstorm and high‐temperature risks of urban, agriculture, and ecological spaces were studied. The results show that (1) rainstorms and high‐temperature are mainly distributed in the built‐up areas of plain towns, which are the climate risk factors that need to be considered. (2) The central city of Beijing is at a high risk of rainstorms and high temperature, indicating that the underlying surface and disaster‐bearing body are highly vulnerable to meteorological disasters. (3) In suburbs with agricultural land, there is a certain rainstorm risk in Fangshan and Daxing districts, and a risk of high temperatures in the southern part of Tongzhou and Daxing. (4) The risk of high temperatures in the ecological space (eco‐zone) is relatively low, but the rainstorm risk is relatively high in Pinggu and Miyun. (5) The strategies of coping with rainstorm and high‐temperature disaster risk in Beijing's territorial space planning were discussed.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rainstorm and high‐temperature disaster risk assessment of territorial space in Beijing, China

Cheng

Fang

et al. 2023

Meteorological Applications

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“…La exposición de las personas, asentándose en lugares peligrosos, el crecimiento exponencial de la población, el cambio en el uso del suelo (Yu, 2022) el desconocimiento y desinterés de los gobernantes de turno y de la población en general son los principales factores que ponen a las comunidades en alto riesgo de sufrir pérdidas materiales, económicas y hasta humanas.…”

Section: Introductionunclassified

Regiones Altoandinas y su vulnerabilidad socioeconómica: caso zona urbana de Puno

Zevallos

2023

Rev. Investig. Altoandin.

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En los últimos tiempos se han incrementado los riesgos de desastres causados por eventos naturales a consecuencia del cambio climático. La magnitud de un desastre a consecuencia del impacto de un peligro natural sobre un sistema humano depende no solo del tipo e intensidad del peligro, depende también de las condiciones socioeconómicas de la comunidad. El objetivo de esta investigación fue determinar el nivel de vulnerabilidad socioeconómica a los desastres naturales en la zona urbana de la ciudad de Puno, región altoandina del sur del Perú. Esto se logró mediante el uso de la técnica del Proceso Analítico Jerárquico (AHP) en combinación con los sistemas de información geográfica (SIG). Se realizó un cuestionario semiestructurado a una muestra aleatoria de 256 personas. Se recopiló datos de vulnerabilidad a cinco tipos distintos de peligros a los cuales está expuesto la población: inundaciones, erosión, caída de rocas, deslizamientos y suelos inestables. Se trabajó con catorce indicadores en las dimensiones de exposición, fragilidad y resiliencia. Como resultado se obtiene un mapa de vulnerabilidad socioeconómica, mostrando niveles de vulnerabilidad correspondiente a una alta y muy alta vulnerabilidad de las zonas periféricas de la zona de estudio. Los hallazgos de esta investigación serán útiles para que los encargados de la formulación de políticas en gestión de riesgo de desastres tomen decisiones informadas para reducir la vulnerabilidad e incrementar de la resiliencia de la población altoandina de Puno.

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Research on identification and zoning control of territorial spatial risk pattern based on deep learning: A case study of Shenzhen, China

Xia,

Ma,

Wang

et al. 2024

Journal of Cleaner Production

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Development and application of a model for assessing climate-related disaster risk

Cited by 4 publications

References 52 publications

Rainstorm and high‐temperature disaster risk assessment of territorial space in Beijing, China

Rainstorm and high‐temperature disaster risk assessment of territorial space in Beijing, China

Regiones Altoandinas y su vulnerabilidad socioeconómica: caso zona urbana de Puno

Research on identification and zoning control of territorial spatial risk pattern based on deep learning: A case study of Shenzhen, China

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