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- W2020876170 abstract "We propose a new model of transboundary pollution for Lake Taihu in China. This model takes into account the re-suspension of phosphorus, the main pollutant in shallow lake eutrophication. Wind is identified as the main cause for phophourus re-suspension, thus wind speed, modeled as a stochastic variable, is introduced in pollutant dynamics. Moreover, asymmetry between main polluters, namely Jiangsu and Zhejiang provinces, is considered. Model parameters are estimated based on recent ecological and economic studies of Lake Taihu and its region. Thanks to a technique introduced by Judd et al. (2011) for economic models, we compute the numerical solution of this differential game with stochastic non-linear dynamics. As a result we find the optimal pollution loadings for both provinces. Loading profiles are coherent with intuition: they decrease with pollution concentration and wind speed. Cumulative loadings of both regions are compared with the symmetric case. Finally, we find that in the case of Lake Taihu, policy makers should curve Zhejiang's incentive to emit by placing a tax on agricultural activities. Revenues generated from those taxes could fund sustainable development policies, thus improving pollution abatement for Lake Taihu." @default.
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- W2020876170 date "2014-01-01" @default.
- W2020876170 modified "2023-09-23" @default.
- W2020876170 title "Optimal Control of Phosphorus Pollution in Lake Taihu with Wind-induced Nonlinear Feedbacks" @default.
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- W2020876170 doi "https://doi.org/10.2991/lemcs-14.2014.141" @default.
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