Abstract
Flood risk has become a serious challenge for many cities, including New York City (NYC). Evaluating urban flood adaptability evaluation is crucial for regulating storm and rain risks. In this study, we proposed an integrated framework based on the Integrated Valuation of Ecosystem Services (InVEST) model and Geographic Information System (GIS). First, the InVEST model was used to assess the water yield, soil conservation, and water quality purification in NYC. Second, the entropy weighting method was employed to determine the weights of indicators for computing the flood adaptability evaluation (FAE). Third, a spatial correlation of FAE was conducted and finally delineated the flood adaptability zones in GIS. The results show that: (1) The spatial distribution of FAE was uneven, high in the surrounding area and low in the center. (2) The Moran's I for FAE was 0.644, showing an overall positive spatial relationship of FAE. High-scoring clusters were located in the southeastern area while low-scoring clusters were in the northern, central, and southwestern areas. (3) The FAE in NYC can be divided into five categories: the lower-adapted zone (0.22–0.27), low-adapted zone (0.28–0.31), medium-adapted zone (0.32–0.36), high-adapted zone (0.37–0.43) and higher-adapted zone (0.44–0.50). These results of the study can provide evidence and recommendations for flood risk management in NYC and other cities worldwide.
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All the data used for the study appear in Sect. 2.2 of the submitted article.
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This research was supported by the National Natural Science Foundation of China (Grant No. 51878593).
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This research was funded by the National Natural Science Foundation of China (Grant No. 51878593).
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Conceptualization, Song Yao and Zihan Chen; data curation, Song Yao; formal analysis, Song Yao and Zihan Chen; funding acquisition, Guoping Huang; methodology, Song Yao; resources, Guoping Huang; software, Song Yao; supervision, Guoping Huang; validation, Song Yao; visualization, Song Yao; writing—original draft preparation, Song Yao and Zihan Chen; writing—review and editing, Song Yao. All authors read and approved the final manuscript.
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Yao, S., Huang, G. & Chen, Z. Evaluation of urban flood adaptability based on the InVEST model and GIS: A case study of New York City, USA. Nat Hazards (2024). https://doi.org/10.1007/s11069-024-06632-y
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DOI: https://doi.org/10.1007/s11069-024-06632-y