Research on risk assessment of waterlogging in mountainous cities:a case study of Guiyang city
Yin Changying1, Dai Li2,3, Xu Dandan4, Zhao Yuhan2,3, Zheng Jiawei2,3, Wang Ping1
1. School of Architecture and Urban Planning,Guizhou Institute of Technology,Guiyang 550003; 2. School of Geography and Environmental Science,Guizhou Normal University,Guiyang 550025; 3. Guizhou Key Laboratory of Mountain Resources and Environment Remote Sensing,Guiyang 550025; 4. Guizhou Meteorological Society,Guiyang 550002
Abstract：In order to reduce the impact of urban flood disasters on the development of cities all over the world,especially the mountain cities.The high-precision remote sensing images are used to extract land use types in the main urban area of Guiyang city of Guizhou province.The spatial distribution characteristics of waterlogging risk in the study area are calculated by combining meteorological,population,GDP and topographic data with positive and negative indexes and analytic hierarchy process.The results show that the risk areas above intermediate level account for 52.09%,mainly distributed in the central and northern parts of the study area.The risk areas above intermediate level account for a large proportion in individual administrative regions,up to 90.90%.The level of waterlogging risk is closely related to regional economic development,precipitation,topography and population,and is highly correlated with typical karst landforms.The results can enrich the research contents of relevant discriplines,and provide reference for local urban waterlogging disaster prevention and spatial management.
尹昌应, 戴丽, 徐丹丹, 赵禹韩, 郑佳薇, 王平. 山地城市内涝灾害风险评价研究——以贵阳市为例[J]. 气象水文海洋仪器, 2022, 39(4): 64-69.
Yin Changying, Dai Li, Xu Dandan, Zhao Yuhan, Zheng Jiawei, Wang Ping. Research on risk assessment of waterlogging in mountainous cities:a case study of Guiyang city. Meteorological Hydrological and Marine Instrument, 2022, 39(4): 64-69.
Jongman B,Kreibich H,Apel H,et al.Comparative flood damage model assessment:towards a European approach[J].Natural Hazards and Earth System Sciences,2012,12:3733-3752.
Maiwald H,Schwarz J,Kaufmann C,et al.Innovative vulnerability and risk assessment of urban areas against flood events:prognosis of structural damage with a new approach considering flow velocity[J].Water,2022,14:2793.
Torres M,Chávez-Cifuentes J,Reinoso E.A conceptual flood model based on cellular automata for probabilistic risk applications[J].Environmental Modelling & Software,2022,157:105530.