Multi-watershed nonpoint source pollution management through coupling Bayesian-based simulation and mechanism-based effluent trading optimization
| العنوان: | Multi-watershed nonpoint source pollution management through coupling Bayesian-based simulation and mechanism-based effluent trading optimization |
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| المؤلفون: | Lei Yu, Yongping Li, Xueting Zeng, Xiaomei Xu, Juan Feng, Guohe Huang, Xinyu Han, Junlong Zhang, Chunrong Wang |
| المصدر: | Stochastic Environmental Research and Risk Assessment. 36:1313-1351 |
| بيانات النشر: | Springer Science and Business Media LLC, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Sustainable development, Environmental Engineering, Watershed, Process (engineering), Bayesian inference, Environmental Chemistry, Environmental science, Water quality, Safety, Risk, Reliability and Quality, Water resource management, Effluent, Uncertainty analysis, Nonpoint source pollution, General Environmental Science, Water Science and Technology |
| الوصف: | Multiple rivers flowing into the same bay can be correlated in water quality management and together determine the environmental status of the bay. Nonpoint source pollution management for multi-watershed aiming to alleviate environmental contamination as well as yield considerable economic and environmental benefits can be under additional challenges. In this study, a Bayesian simulation-based multi-watershed effluent trading designing model (BS-METM) is established for multi-watershed nonpoint source pollution management through incorporating techniques of water quality simulation, uncertainty analysis with Bayesian inference, optimal design for effluent trading, as well as mechanism analysis. BS-METM is capable of reflecting parameter uncertainties in nutrient simulation, disclosing the detailed optimal trading schemes under the impact of uncertainties and vital factors, and identifying optimal effluent trading mechanisms through revealing interaction among trading processes of multiple watersheds. BS-METM is applied to a real case of adjacent coastal watersheds (i.e. Daguhe and Moshuihe watersheds), which are identified as major sources of total phosphorus and ammonia nitrogen loadings to Jiaozhou Bay, China. Effluent trading optimization under multiple mechanisms, including intra-watershed trading, cross-watershed trading and non-trading, are conducted. The optimized industry scales and trading processes are obtained. The effects of vital factors on the trading process (i.e. environmental allowance-violation risk level and water availability level) are investigated. The interactions between water availability level and trading mechanism are also analyzed. It is proved that non-trading mechanism would be recommended under low water availability level and cross-watershed trading mechanism would be recommended under medium and high water availability level. The results provide a solid scientific basis for nonpoint source pollution management as well as effective sustainable development for multi-watershed region. |
| تدمد: | 1436-3259 1436-3240 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::91523bde0b51568b81bbbe9a15122498 https://doi.org/10.1007/s00477-021-02130-w |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........91523bde0b51568b81bbbe9a15122498 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14363259 14363240 |
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