151
Views
1
CrossRef citations to date
0
Altmetric
Articles

Scenario-Based Economic Risk Assessment of Paddy Damage Caused by Floods in the Huai River Sub-Basin of China

, &
Pages 1186-1205 | Published online: 31 Aug 2014
 

ABSTRACT

A new method, namely, the scenario-based method, is developed and further applied in assessing economic risk of paddy damage caused by floods in the Huai River sub-basin of China following these four steps: (1) generation of scenarios, (2) simulation of scenarios, (3) consequence of scenarios, and (4) comprehension of scenarios. In the first step, a rainfall Intensity-Duration-Frequency (IDF) model is established to generate a set of storm scenarios in the sub-basin by selecting seven return periods. In the second step, the flooding simulation for each scenario is carried out based on the distributed Rainfall-Runoff-Inundation (RRI) model to obtain inundation depth (meter) and time (day) over the sub-basin. In the third step, a grid-based Flood Economic Loss Estimation (FELE) model of paddies is employed to estimate economic losses of paddies in Chinese Yuan (CNY), where inundation depth and duration are treated as parameters for each scenario. In the last step, the Conditioned Expected Losses (CELs) in CNY for each county is derived as a measurement of risk by fitting the risk curve with scenario samples. Based on CELs, an economic risk zoning map of paddy damage caused by floods in the Huai River sub-basin was created as a final result.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 358.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.