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| Titel |
A dual-inexact fuzzy stochastic model for water resources management and non-point source pollution mitigation under multiple uncertainties |
| VerfasserIn |
C. Dong, Q. Tan, G.-H. Huang, Y.-P. Cai |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 18, no. 5 ; Nr. 18, no. 5 (2014-05-19), S.1793-1803 |
| Datensatznummer |
250120358
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| Publikation (Nr.) |
 copernicus.org/hess-18-1793-2014.pdf |
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| Zusammenfassung |
| In this research, a dual-inexact fuzzy stochastic programming (DIFSP) method
was developed for supporting the planning of water and farmland use
management system considering the non-point source pollution mitigation under
uncertainty. The random boundary interval (RBI) was incorporated into DIFSP
through integrating fuzzy linear programming (FLP) and chance-constrained
programming (CCP) approaches within an interval linear programming (ILP)
framework. This developed method could effectively tackle the uncertainties
expressed as intervals and fuzzy sets. Moreover, the lower and upper bounds
of RBI are continuous random variables, and the correlation existing between
the lower and upper bounds can be tackled in RBI through the joint
probability distribution function. And thus the subjectivity of decision
making is greatly reduced, enhancing the stability and robustness of obtained
solutions. The proposed method was then applied to solve a water and farmland
use planning model (WFUPM) with non-point source pollution mitigation. The
generated results could provide decision makers with detailed water
supply–demand schemes involving diversified water-related activities under
preferred satisfaction degrees. These useful solutions could allow more
in-depth analyses of the trade-offs between humans and environment, as well
as those between system optimality and reliability. In addition, comparative
analyses on the solutions obtained from ICCP (Interval chance-constraints
programming) and DIFSP demonstrated the higher application of this developed
approach for supporting the water and farmland use system planning. |
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