Inexact two-stage stochastic credibility constrained programming for water quality management

► An ITSCCP model is developed for water quality management under uncertainties. ► Uncertainties in the format of random events, fuzzy sets, and intervals are tackled. ► Desired strategies for achieving multiple conflicting targets are identified. In this study, an inexact two-stage stochastic credi...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Resources, conservation and recycling Ročník 73; s. 122 - 132
Hlavní autori: Li, Zhong, Huang, Gordon, Zhang, Yimei, Li, Yongping
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Kidlington Elsevier B.V 01.04.2013
Elsevier
Predmet:
algorithms
Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization
Applied sciences
Chemical engineering
China
Continental surface waters
Credibility
Exact sciences and technology
Fuzzy
Natural water pollution
Optimization modeling
Pollution
pollution control
pollution load
recycling
risk
solutions
Stochastic programming
Three Gorges Reservoir
water quality
Water quality management
Water treatment and pollution
watersheds
China
Fuzzy
Water quality management
Credibility
Optimization modeling
Three Gorges Reservoir
Stochastic programming
Uncertainty
Pollution control
Algorithm
Modeling
Optimization
Pollution
Surface water
Water quality
Stream
Pollution abatement
Mathematical programming
ISSN:0921-3449, 1879-0658
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:► An ITSCCP model is developed for water quality management under uncertainties. ► Uncertainties in the format of random events, fuzzy sets, and intervals are tackled. ► Desired strategies for achieving multiple conflicting targets are identified. In this study, an inexact two-stage stochastic credibility constrained programming (ITSCCP) method is developed and applied to the water quality management system. It incorporates the credibility constrained programming, two-stage stochastic programming and interval programming within an optimization framework, so that uncertainties expressed as intervals, probabilistic and possibilistic distributions can be effectively communicated. The study area is the Xiangxi River Basin of the Three Gorges Reservoir (TGR), the largest reservoir in China. The significant advantage of the ITSCCP water quality management model is that it can reflect the tradeoffs between the predefined economic targets and the associated environmental penalties, as well as the fuzziness of the pollution load capacities. Stable interval solutions can be obtained by using the two-step interactive solution algorithm. A spectrum of potential pollution abatement options with varied levels of system-failure risk can be generated. The resulting solutions show that the proposed method can provide scientific bases for water quality management and other environmental systems problems.
Bibliografia:http://dx.doi.org/10.1016/j.resconrec.2013.01.008
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0921-3449
1879-0658
DOI:10.1016/j.resconrec.2013.01.008