3rd International Conference on Water Resource and Environment | |
Water quality and emergy evaluation of two freshwater aquacultural systems for eutrophic water in the Controlling by Biological Chains | |
地球科学;生态环境科学 | |
Xi, L.M.^1 ; Liu, C.Q.^2 ; Liu, D.F.^1 ; Huang, W.L.^1 ; Sun, Y.^1 | |
College of Environmental Science and Engineering, Nankai University, Tianjin, China^1 | |
College of Life Science, Hebei University, Hebei, China^2 | |
关键词: Aquaculture systems; Baiyangdian lakes; Ecological economics; Ecological restoration; Ecological systems; Emergy evaluation; Environmental sustainability; Non-renewable energy; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/82/1/012070/pdf DOI : 10.1088/1755-1315/82/1/012070 |
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学科分类:环境科学(综合) | |
来源: IOP | |
【 摘 要 】
According to the ecological restoration theory, this experiment establishes aquaculture systems controlled by biological chains in both Xiaoxidian area and Dujiadian area of Baiyangdian Lake separately in order to improve the environment and bring economic benefits. The appearance of Emergy Theory provides a new method for the quantitative analysis of ecological economic system. Based on the analysis of Emergy Theory, this thesis compares the eco-economic systems under different polyculture models between Xiaoxidian area and Dujiadian area. The result demonstrates that Xiaoxidian ecological system is of high Emergy Transformity with higher emergy output and economic income per unit area compared with Dujiadian area. While Dujiadian area has higher Emergy Yield Rate and lower Environment Load Rate. So Dujiadian area is more sustainable due to the overload non-renewable energy of Xiaoxidian area devoted by human. Therefore, it will be better if we adjust and optimize the management of aquaculture system in Xiaoxidian area in order to find a stable equilibrium point between environmental sustainability and economic benefits.
【 预 览 】
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Water quality and emergy evaluation of two freshwater aquacultural systems for eutrophic water in the Controlling by Biological Chains | 732KB | download |