Social vulnerability assessment of natural hazards on county-scale using high spatial resolution satellite imagery: a case study in the Luogang district of Guangzhou,South China |
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| Authors: | J Zeng Z Y Zhu J L Zhang T P Ouyang S F Qiu Y Zou T Zeng |
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| Institution: | (1) Key Laboratory of Marginal Sea Geology, Guangzhou Institute of Geochemistry, CAS, Guangzhou, 510640, People’s Republic of China; |
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| Abstract: | Social vulnerability assessment of natural hazards aims to identify vulnerable populations and provide decision makers with
scientific basis for their disaster prevention and mitigation decisions. A new method based on remote sensing is presented
here to establish a model of social vulnerability for county-scale regions that lack of relative data. To calculate population
density, which is the most important indicator in social vulnerability assessment, first, a statistical model is established
to estimate the population on village level. Then a new concept defined as “population density based on land use” is created
to replace the arithmetic population density. The former has taken the dynamic human distribution related to land use into
account; thus, it can map the population distribution more realistically. The other two indicators are age structure and distance
to hospital. The application of this method to the Luogang District of Guangzhou, South China demonstrated its capability
of providing high spatial resolution and reasonable social vulnerability for social vulnerability assessment of natural hazards. |
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