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26 October 2022 Flood risk analysis and mapping in Henan Province using remotely sensed data and GIS techniques
Xiaoping Zhang, Yongyong Li, Xiaoqing Ma, Zehang Sun, Dongsheng Liu, Ying Lv
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Proceedings Volume 12269, Remote Sensing Technologies and Applications in Urban Environments VII; 122690L (2022) https://doi.org/10.1117/12.2643526
Event: SPIE Remote Sensing, 2022, Berlin, Germany
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Abstract
Zhengzhou City suffered the strongest rainstorm in history in July 2021, floods and other secondary disasters have greatly endangered the property and safety of local residents in Henan Province, China. In this paper, the flood risk of Henan Province was analyzed from the three perspectives of hazard, exposure and vulnerability, and seven factors of rainfall, elevation, slope, distribution density of river network, population, GDP and arable land occupation ratio were selected to create a flood disaster risk evaluation index system. Remotely sensed data and GIS were used to analyze and map the influencing factors, and then the comprehensive risk results of flood disasters in Henan Province were obtained based on analytic hierarchy process (AHP) method. Results show that the higher-risk area and high-risk area mainly locate in cities of Xinyang, Luohe, Zhumadian, Zhoukou and Xuchang, as well as the north of Zhengzhou, accounting for 43% of the total area of Henan Province. High risk area is mainly caused by high hazard of the flat terrain and abundant rainfall. The lower-risk area is mainly distributed in Sanmenxia, Jiyuan and Anyang, and the western part of Luoyang, that locate in high-elevation areas, and the vulnerability index of GDP is low in these areas. The rest of the areas are medium-risk areas. This research provides the background information for disaster prevention and mitigation management in Henan Province.
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Xiaoping Zhang, Yongyong Li, Xiaoqing Ma, Zehang Sun, Dongsheng Liu, and Ying Lv "Flood risk analysis and mapping in Henan Province using remotely sensed data and GIS techniques", Proc. SPIE 12269, Remote Sensing Technologies and Applications in Urban Environments VII, 122690L (26 October 2022); https://doi.org/10.1117/12.2643526
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KEYWORDS
Floods
Geographic information systems
Analytical research
Hazard analysis
Natural disasters
Remote sensing
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