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Article

Assessment of Population Exposure to Urban Flood at the Building Scale

1
School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
2
Department of Civil Engineering, University of Bristol, Bristol BS8 1TR, UK
3
Key Laboratory of VGE of Ministry of Education, Nanjing Normal University, Nanjing 210023, China
*
Author to whom correspondence should be addressed.
Water 2020, 12(11), 3253; https://doi.org/10.3390/w12113253
Received: 30 September 2020 / Revised: 11 November 2020 / Accepted: 18 November 2020 / Published: 20 November 2020
(This article belongs to the Special Issue GIS Application: Flood Risk Management)
The assessment of populations affected by urban flooding is crucial for flood prevention and mitigation but is highly influenced by the accuracy of population datasets. The population distribution is related to buildings during the urban floods, so assessing the population at the building scale is more rational for the urban floods, which is possible due to the abundance of multi-source data and advances in GIS technology. Therefore, this study assesses the populations affected by urban floods through population mapping at the building scale using highly correlated point of interest (POI) data. The population distribution is first mapped by downscaling the grid-based WorldPop population data to the building scale. Then, the population affected by urban floods is estimated by superimposing the population data sets onto flood areas, with flooding simulated by the LISFLOOD-FP hydrodynamic model. Finally, the proposed method is applied to Lishui City in southeast China. The results show that the population affected by urban floods is significantly reduced for different rainstorm scenarios when using the building-scale population instead of WorldPop. In certain areas, populations not captured by WorldPop can be identified using the building-scale population. This study provides a new method for estimating populations affected by urban flooding. View Full-Text
Keywords: population exposure; population mapping; POIs; urban floods population exposure; population mapping; POIs; urban floods
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MDPI and ACS Style

Zhu, S.; Dai, Q.; Zhao, B.; Shao, J. Assessment of Population Exposure to Urban Flood at the Building Scale. Water 2020, 12, 3253. https://doi.org/10.3390/w12113253

AMA Style

Zhu S, Dai Q, Zhao B, Shao J. Assessment of Population Exposure to Urban Flood at the Building Scale. Water. 2020; 12(11):3253. https://doi.org/10.3390/w12113253

Chicago/Turabian Style

Zhu, Shaonan; Dai, Qiang; Zhao, Binru; Shao, Jiaqi. 2020. "Assessment of Population Exposure to Urban Flood at the Building Scale" Water 12, no. 11: 3253. https://doi.org/10.3390/w12113253

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