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A decomposition-integration risk analysis method for real-time operation of a complex flood control system
- Source :
- Water Resources Research. 53:2490-2506
- Publication Year :
- 2017
- Publisher :
- American Geophysical Union (AGU), 2017.
-
Abstract
- Risk analysis plays an important role in decision making for real-time flood control operation of complex flood control systems. A typical flood control system consists of reservoirs, river channels, and downstream control points. The system generally is characterized by nonlinearity and large scale. Additionally, the input variables are mostly stochastic. Because of the dimensionality problem, generally, it would not be possible to carry out risk analysis without decomposition. In this paper, we propose a decomposition-integration approach whereby the original complex flood control system is decomposed into a number of independent subsystems. We conduct risk analysis for each subsystem and then integrate the results by means of combination theory of stochastic processes. We evaluate the propagation of uncertainties through the complex flood control system and calculate the risk of reservoir overtopping, as well as the risk of flooding at selected downstream control points. We apply the proposed methodology to a flood control system in the middle reaches of the Huaihe River basin in China. The results show that the proposed method is practical and provides a way to estimate the risks in real-time flood control operation of a complex flood control system. This article is protected by copyright. All rights reserved.
- Subjects :
- 010504 meteorology & atmospheric sciences
Computer science
Stochastic process
0208 environmental biotechnology
02 engineering and technology
01 natural sciences
020801 environmental engineering
Water resources
Flood control
Nonlinear system
Risk analysis (engineering)
Stochastic simulation
Entropy (information theory)
Risk assessment
0105 earth and related environmental sciences
Water Science and Technology
Curse of dimensionality
Subjects
Details
- ISSN :
- 00431397
- Volume :
- 53
- Database :
- OpenAIRE
- Journal :
- Water Resources Research
- Accession number :
- edsair.doi...........bd5fbbed9b10d43b0bad68044ae5b74a