Abstract
To maintaining a health ecological environment in Three Gorges Reservoir (TGR) area, ecological shelter zones (ESZ) need to be built in the TGR shore zone urgently. Based on the implication and function of ESZ, this study first analyzed the relationships amongst three subsystems of the TGR area, including the upstream production-living land, the downstream reservoir water body, and the ESZ. Then a simple and practical hydrological environment model for controlling the eutrophication of the TGR water body was constructed to determine ESZ range of TGR. Additionally, based on the pollutant degradation efficiency of ESZ and the assimilative capacity of reservoir water body, a raster reverse tracking method was proposed to determine the range of ESZ. Thirdly, take Yangdu town in Zhongxian county as a typical region, the ESZ range under three scenarios of different rainfall intensity, degradation efficiency and inflow water quality that corresponding to the three decisive factors of defining ESZ range were discussed. Finally, the statistical laws of the ESZ’s width at each boundary points were discussed to facilitate the ESZ construction projects, and selected standardized rate at 70, 90, and 99 % were labelled as “General”, “Good” and “Excellent” level to represent the performance of the width of the ESZ range. In conclusion, it suggest “Good” level width as basic width of ESZ, and additionally a special protection zone should be put on upstream environment for the extreme large width at the boundary points.
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Acknowledgments
The work was financially supported by the special research of China Institute of Water Resources and Hydropower Research (No. 1017), the Research Fund for the Doctoral Program of Higher Education (No. 20090094110005) and the National Natural Science Foundation of China (Nos. 41130639, 51179045). The relevant data was from immigration office, Chongqing city and corresponding county.
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Feng, J., Hu, Y., Li, Z. et al. Defining the range of ecological shelter zones in the shore zone of Three Gorges Reservoir, China. Stoch Environ Res Risk Assess 28, 1973–1984 (2014). https://doi.org/10.1007/s00477-014-0882-7
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DOI: https://doi.org/10.1007/s00477-014-0882-7