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| Content Provider | Springer Nature Link |
|---|---|
| Author | Liu, Feng Wen, Zhi Zheng, Li Jun |
| Copyright Year | 2014 |
| Abstract | In this study, an inexact stochastic robust air quality management model (ISRAQMM) was developed for supporting regional air pollution control. The Fengrun district in Tangshan City, China, was used as a study case for demonstration. The ISRAQMM has the advantages of reflecting uncertainty and evaluating trade-offs between system economy and reliability, where the model parameters are provided as discrete intervals and deterministic values under various scenarios. The model’s objective function was an integration of the expected cost, cost variability and penalty function of constraints violation rather than the traditional objective function considering only the economic factor; meanwhile, the inexact model parameters were expressed as discrete intervals, which have low data requirements. A variety of solutions were obtained, which could be used to help evaluate the trade-off between system economy and reliability. Using the case study, the applicability of the ISRAQMM was demonstrated. A set of conservative solutions with lower risks and cost-effective solutions with higher risks was provided. The balanced scenario solution was recommended for decision makers, since it respects both system economy and reliability. The successful applications of the ISRAQMM in the studied real world are expected to be a good demonstration for many other areas. |
| Starting Page | 1485 |
| Ending Page | 1498 |
| Page Count | 14 |
| File Format | |
| ISSN | 14363240 |
| Journal | Stochastic Environmental Research and Risk Assessment |
| Volume Number | 29 |
| Issue Number | 5 |
| e-ISSN | 14363259 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2014-08-13 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Stochastic robust optimization Interval linear programming Air quality management Fengrun district Uncertainty Math. Application in Environmental Science Earth Sciences Probability Theory and Stochastic Processes Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Computational Intelligence Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution |
| Content Type | Text |
| Resource Type | Article |
| Subject | Environmental Chemistry Environmental Engineering Water Science and Technology Safety, Risk, Reliability and Quality |
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