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Author:

Liu, Y. (Liu, Y..) | Chen, B. (Chen, B..) | Duan, C. (Duan, C..) | Wang, H. (Wang, H..)

Indexed by:

EI Scopus SCIE

Abstract:

In this study, an economic loss assessment framework was proposed to evaluate the economic losses of urban waterlogging based on the integrated catchment management (ICM) model and information-based network environ analysis (NEA). First, the urban waterlogging model was constructed based on the ICM model to simulate the submerged depth, inundated area and duration of waterlogging. Second, the initial waterlogging risk of different economic sectors was combined with the submerged depth-disaster loss rate curve. Last, the information-based NEA was employed to quantify the distributed control relationships among different economic sectors. The results of a case study of Beijing showed that direct economic loss can reach 16.3 billion yuan in a recurrence period of once in 50 years. Forty percent of the waterlogging risk was transferred to the downstream regions or sectors via the national supply chain. The proposed economic loss assessment framework may help promote waterlogging prevention strategies. © 2023 Elsevier B.V.

Keyword:

ICM model Urban waterlogging Network environ analysis Risk assessment Economic loss

Author Community:

  • [ 1 ] [Liu Y.]State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, 100875, China
  • [ 2 ] [Chen B.]State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, 100875, China
  • [ 3 ] [Duan C.]State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, 100875, China
  • [ 4 ] [Wang H.]College of Architecture and Civil Engineering, Beijing University of Technology, 100124, China

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Source :

Resources, Conservation and Recycling

ISSN: 0921-3449

Year: 2023

Volume: 192

1 3 . 2 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:17

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 19

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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