Evaluation of urban flood adaptability based on the InVEST model and GIS: A case study of New York City, USA

Song Yao (), Guoping Huang () and Zihan Chen
Additional contact information
Song Yao: Zhejiang University
Guoping Huang: University of Southern California
Zihan Chen: George School

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2024, vol. 120, issue 12, No 25, 11063-11082

Abstract: 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.

Keywords: Flood adaptability; InVEST model; Water yield; Soil conservation; Water quality purification; New York City (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11069-024-06632-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:120:y:2024:i:12:d:10.1007_s11069-024-06632-y

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-024-06632-y

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().