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| Titel |
Multi-objective optimization for combined quality–quantity urban runoff control |
| VerfasserIn |
S. Oraei Zare, B. Saghafian, A. Shamsai |
| 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 ; 16, no. 12 ; Nr. 16, no. 12 (2012-12-03), S.4531-4542 |
| Datensatznummer |
250013602
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| Publikation (Nr.) |
 copernicus.org/hess-16-4531-2012.pdf |
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| Zusammenfassung |
| Urban development affects the quantity and quality of urban surface runoff.
In recent years, the best management practices (BMPs) concept has been widely
promoted for control of both quality and quantity of urban floods. However,
means to optimize the BMPs in a conjunctive quantity/quality framework are
still under research. In this paper, three objective functions were
considered: (1) minimization of the total flood damages, cost of BMP
implementation and cost of land-use development; (2) reducing the amount of
TSS (total suspended solid) and BOD5 (biological oxygen demand), representing the pollution characteristics, to below the
threshold level; and (3) minimizing the total runoff volume. The biological
oxygen demand and total suspended solid values were employed as two
measures of urban runoff quality. The total surface runoff volume produced
by sub-basins was representative of the runoff quantity. The construction
and maintenance costs of the BMPs were also estimated based on the local
price standards. Urban runoff quantity and quality in the case study
watershed were simulated with the Storm Water Management
Model (SWMM). The NSGA-II (Non-dominated
Sorting Genetic Algorithm II) optimization technique was applied to derive
the optimal trade off curve between various objectives. In the proposed
structure for the NSGA-II algorithm, a continuous structure and intermediate
crossover were used because they perform better as far as the optimization
efficiency is concerned. Finally, urban runoff management scenarios were
presented based on the optimal trade-off curve using the k-means method.
Subsequently, a specific runoff control scenario was proposed to the urban
managers. |
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