skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A Decentralized Bi-Level Fuzzy Two-Stage Decision Model for Flood Management

Abstract

Flood, as a serious worldwide environment problem, can lead to detrimental economic losses and fatalities. Effective flood control is desired to mitigate the adverse impacts of flooding and the associated flood risk through development of cost-effective and efficient flood management decisions and policies. A bi-level fuzzy two-stage stochastic programming model, named BIFS model is developed in this study to provide decision support for economic analysis of flood management. The BIFS model is capable of not only addressing the sequential decision making issue involving the two-level decision makers, but also correcting the pre-regulated flood management decisions before the occurrence of a flood event in the two-stage environment. The probabilistic and non-probabilistic uncertainties expressed as probability density functions and fuzzy sets are quantitatively analyzed. The overall satisfaction solution is obtained for meeting the goals of the two-level decision makers by compromising, reflecting the tradeoffs among various decision makers in the two decision-making levels. The results of application of the BIFS model to a representative case study indicate informed decision strategies for flood management. Tradeoffs between economic objectives and uncertainty-averse attitudes of decision makers are quantified.

Authors:
 [1]; ORCiD logo [2]
  1. South Univ. of Science and Technology of China, Shenzhen (China). School of Environmental Science and Engineering, and Engineering Innovation Center Beijing
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1460641
Report Number(s):
LA-UR-17-21139
Journal ID: ISSN 0920-4741
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Accepted Manuscript
Journal Name:
Water Resources Management
Additional Journal Information:
Journal Volume: 32; Journal Issue: 5; Journal ID: ISSN 0920-4741
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Environmental Protection; Flood management; diversion; two-level; two-stage; economic analysis

Citation Formats

Wang, Hong, and Zhang, Xiaodong. A Decentralized Bi-Level Fuzzy Two-Stage Decision Model for Flood Management. United States: N. p., 2018. Web. doi:10.1007/s11269-017-1894-0.
Wang, Hong, & Zhang, Xiaodong. A Decentralized Bi-Level Fuzzy Two-Stage Decision Model for Flood Management. United States. doi:10.1007/s11269-017-1894-0.
Wang, Hong, and Zhang, Xiaodong. Thu . "A Decentralized Bi-Level Fuzzy Two-Stage Decision Model for Flood Management". United States. doi:10.1007/s11269-017-1894-0. https://www.osti.gov/servlets/purl/1460641.
@article{osti_1460641,
title = {A Decentralized Bi-Level Fuzzy Two-Stage Decision Model for Flood Management},
author = {Wang, Hong and Zhang, Xiaodong},
abstractNote = {Flood, as a serious worldwide environment problem, can lead to detrimental economic losses and fatalities. Effective flood control is desired to mitigate the adverse impacts of flooding and the associated flood risk through development of cost-effective and efficient flood management decisions and policies. A bi-level fuzzy two-stage stochastic programming model, named BIFS model is developed in this study to provide decision support for economic analysis of flood management. The BIFS model is capable of not only addressing the sequential decision making issue involving the two-level decision makers, but also correcting the pre-regulated flood management decisions before the occurrence of a flood event in the two-stage environment. The probabilistic and non-probabilistic uncertainties expressed as probability density functions and fuzzy sets are quantitatively analyzed. The overall satisfaction solution is obtained for meeting the goals of the two-level decision makers by compromising, reflecting the tradeoffs among various decision makers in the two decision-making levels. The results of application of the BIFS model to a representative case study indicate informed decision strategies for flood management. Tradeoffs between economic objectives and uncertainty-averse attitudes of decision makers are quantified.},
doi = {10.1007/s11269-017-1894-0},
journal = {Water Resources Management},
number = 5,
volume = 32,
place = {United States},
year = {2018},
month = {3}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 1 work
Citation information provided by
Web of Science

Figures / Tables:

Table 1 Table 1: Cost-related modeling parameters for flood diversion

Save / Share:

Works referenced in this record:

Interactive fuzzy random cooperative two-level linear programming through level sets based probability maximization
journal, March 2013


Possibilistic linear programming for managing interest rate risk
journal, March 1993


Floodplain Planning with Risk-Based Optimization
journal, May 2002


Portfolio selection under independent possibilistic information
journal, October 2000


Decision-Making in a Fuzzy Environment
journal, December 1970


Fuzzy goal programming approach to multilevel programming problems
journal, January 2007

  • Pramanik, Surapati; Roy, Tapan Kumar
  • European Journal of Operational Research, Vol. 176, Issue 2
  • DOI: 10.1016/j.ejor.2005.08.024

Multivariate flood risk analysis for Wei River
journal, December 2015

  • Xu, Ye; Huang, Guohe; Fan, Yurui
  • Stochastic Environmental Research and Risk Assessment, Vol. 31, Issue 1
  • DOI: 10.1007/s00477-015-1196-0

Optimal control of flood diversion in watershed using nonlinear optimization
journal, August 2012


A Dynamic Optimization Approach for Power Generation Planning under Uncertainty
journal, June 2008

  • Liu, Z. F.; Huang, G. H.; Li, N.
  • Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol. 30, Issue 14-15
  • DOI: 10.1080/15567030801929217

Fuzzy approach for multi-level programming problems
journal, January 1996


An Inexact Two-Stage Stochastic Programming Model for Water Resources Management Under Uncertainty
journal, May 2000


Inexact Probabilistic Optimization Model and Its Application to Flood Diversion Planning in a Dynamic and Uncertain Environment
journal, August 2015


Dual-Interval Two-Stage Optimization for Flood Management and Risk Analyses
journal, December 2008


Global exposure to river and coastal flooding: Long term trends and changes
journal, October 2012


Robust stochastic fuzzy possibilistic programming for environmental decision making under uncertainty
journal, December 2009


Major flood disasters in Europe: 1950–2005
journal, November 2006


Water Resources Management Models Based on Two-Level Linear Fractional Programming Method under Uncertainty
journal, September 2015


Fuzzy goal programming algorithm for solving decentralized bi-level multi-objective programming problems
journal, September 2009


A dual two-stage stochastic model for flood management with inexact-integer analysis under multiple uncertainties
journal, September 2012

  • Maqsood, Imran; Huang, Guo H.
  • Stochastic Environmental Research and Risk Assessment, Vol. 27, Issue 3
  • DOI: 10.1007/s00477-012-0629-2

Interactive fuzzy goal programming approach for bilevel programming problem
journal, April 2009


Development and evaluation of a framework for global flood hazard mapping
journal, August 2016


Municipal solid waste management planning considering greenhouse gas emission trading under fuzzy environment
journal, March 2014


Energy-water nexus: Balancing the tradeoffs between two-level decision makers
journal, December 2016


A new approach to some possibilistic linear programming problems
journal, July 1992


Mixed interval–fuzzy two-stage integer programming and its application to flood-diversion planning
journal, March 2007


Fuzzy programming approach to multi-level programming problems
journal, June 2003


TOPSIS for bi-level MODM problems
journal, February 2013


Ensemble flood risk assessment in Europe under high end climate scenarios
journal, November 2015


    Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.