Preprints
https://doi.org/10.5194/nhess-2021-163
https://doi.org/10.5194/nhess-2021-163

  08 Jun 2021

08 Jun 2021

Review status: a revised version of this preprint was accepted for the journal NHESS and is expected to appear here in due course.

Assessment of the Direct Economic Losses of Flood Disasters Based on the Spatial Valuation of Land Use and Quantification of Vulnerabilities: A Case Study of the 2014 Flood in Lishui city, China

Haixia Zhang1,2, Weihua Fang1,2,3, and Hua Zhang1,2 Haixia Zhang et al.
  • 1Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  • 2Academy of Disaster Risk Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  • 3Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China

Abstract. The refined assessment of the direct economic losses of flood disasters is important for emergency dispatch and risk management in small- and medium-sized cities. There are still great challenges in the accuracy and timeliness of the previous research methods. In this study, a single flood disaster in Lishui city in 2014 was taken as an example to study and verify a method for the rapid and refined assessment of direct economic loss. First, based on a field investigation, the inundation range and submerged depth simulated by the flooding model were verified. Next, the urban land use status map and high-precision remote sensing classification data were fused and combined with expert questionnaire surveys, thereby providing the types and values of disaster-bearing bodies. Then, the existing vulnerability curve database was summarized, and the curves were calibrated by disaster loss reporting. Finally, the spatial distributions of the flood disaster loss ratio and loss value were estimated by spatial analysis. It is found that the constructed land use map has detailed types and value attributes as well as high-precision spatial information. Secondly, the vulnerability curves after function fitting and calibration effectively reflect the change characteristics of land use loss ratio in this area. Finally, the estimated loss ratio and loss value distributions can accurately reflect the spatial pattern of flood disaster loss, which is useful for the government to formulate effective disaster reduction and relief measures.

Haixia Zhang et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-163', Jean-Paul Pinelli, 30 Jun 2021
    • AC1: 'Reply on RC1', Haixia Zhang, 21 Jul 2021
  • RC2: 'Comment on nhess-2021-163', Anonymous Referee #2, 16 Jul 2021
    • AC2: 'Reply on RC2', Haixia Zhang, 21 Jul 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-163', Jean-Paul Pinelli, 30 Jun 2021
    • AC1: 'Reply on RC1', Haixia Zhang, 21 Jul 2021
  • RC2: 'Comment on nhess-2021-163', Anonymous Referee #2, 16 Jul 2021
    • AC2: 'Reply on RC2', Haixia Zhang, 21 Jul 2021

Haixia Zhang et al.

Data sets

Flood loss assessment Haixia Zhang, Weihua Fang, Hua Zhang https://github.com/Haixia-Zhang/Flood-loss-assessment.git

Haixia Zhang et al.

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Short summary
Taking a single flood disaster in Lishui City as an example, a rapid and refined assessment of economic loss is studied and verified, which can effectively simulate the distribution of loss ratio and loss value. It includes the construction of land use type and value based on data fusion and expert questionnaire survey, the fitting and calibration of vulnerability curves based on existing database and disaster loss reporting, and estimation of loss ratio and loss value by spatial analysis.
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