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干旱区科学  2015, Vol. 7 Issue (2): 166-176    DOI: 10.1007/s40333-014-0077-6
  学术论文 本期目录 | 过刊浏览 | 高级检索 |
A general multi-objective programming model for minimum ecological flow or water level of inland water bodies
SongHao SHANG1,2
1 State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;
2 Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
A general multi-objective programming model for minimum ecological flow or water level of inland water bodies
SongHao SHANG1,2
1 State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;
2 Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
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摘要 Assessment of ecological flow or water level for water bodies is important for the protection of degraded or degrading ecosystems caused by water shortage in arid regions, and it has become a key issue in water resources planning. In the past several decades, many methods have been proposed to assess ecological flow for rivers and ecological water level for lakes or wetlands. To balance water uses by human and eco-systems, we proposed a general multi-objective programming model to determine minimum ecological flow or water level for inland water bodies, where two objectives are water index for human and habitat index for ecosystems, respectively. Using the weighted sum method for multi-objective optimization, minimum eco-logical flow or water level can be determined from the breakpoint in the water index–habitat index curve, which is similar to the slope method to determine minimum ecological flow from wetted perimeter–discharge curve. However, the general multi-objective programming model is superior to the slope method in its physical meaning and calculation method. This model provides a general analysis method for ecological water uses of different inland water bodies, and can be used to define minimum ecological flow or water level by choosing appropriate water and habitat indices. Several commonly used flow or water level assessment methods were found to be special cases of the general model, including the wetted perimeter method and the multi-objective physical habitat simulation method for ecological river flow, the inundated forest width method for regenera-tion flow of floodplain forest and the lake surface area method for ecological lake level. These methods were applied to determine minimum ecological flow or water level for two representative rivers and a lake in northern Xinjiang of China, including minimum ecological flow for the Ertix River, minimum regeneration flow for floodplain forest along the midstream of Kaxgar River, and minimum ecological lake level for the Ebinur Lake. The results illustrated the versatility of the general model, and can provide references for water resources planning and ecosystem protection for these rivers and lake.
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SongHao SHANG
关键词:  adaptation  climatic gradient  morphological trait  osmotic potential  water state  water metabolism  antioxidative enzyme    
Abstract: Assessment of ecological flow or water level for water bodies is important for the protection of degraded or degrading ecosystems caused by water shortage in arid regions, and it has become a key issue in water resources planning. In the past several decades, many methods have been proposed to assess ecological flow for rivers and ecological water level for lakes or wetlands. To balance water uses by human and eco-systems, we proposed a general multi-objective programming model to determine minimum ecological flow or water level for inland water bodies, where two objectives are water index for human and habitat index for ecosystems, respectively. Using the weighted sum method for multi-objective optimization, minimum eco-logical flow or water level can be determined from the breakpoint in the water index–habitat index curve, which is similar to the slope method to determine minimum ecological flow from wetted perimeter–discharge curve. However, the general multi-objective programming model is superior to the slope method in its physical meaning and calculation method. This model provides a general analysis method for ecological water uses of different inland water bodies, and can be used to define minimum ecological flow or water level by choosing appropriate water and habitat indices. Several commonly used flow or water level assessment methods were found to be special cases of the general model, including the wetted perimeter method and the multi-objective physical habitat simulation method for ecological river flow, the inundated forest width method for regenera-tion flow of floodplain forest and the lake surface area method for ecological lake level. These methods were applied to determine minimum ecological flow or water level for two representative rivers and a lake in northern Xinjiang of China, including minimum ecological flow for the Ertix River, minimum regeneration flow for floodplain forest along the midstream of Kaxgar River, and minimum ecological lake level for the Ebinur Lake. The results illustrated the versatility of the general model, and can provide references for water resources planning and ecosystem protection for these rivers and lake.
Key words:  adaptation    climatic gradient    morphological trait    osmotic potential    water state    water metabolism    antioxidative enzyme
收稿日期:  2014-02-14      修回日期:  2014-04-14           出版日期:  2015-04-10      发布日期:  2014-04-22      期的出版日期:  2015-04-10
基金资助: 

This work was supported by the Open Research Fund Program of State key Laboratory of Hydroscience and Engineering, Tsinghua University (sklhse-2013-A-03) and the National Nat-ural Science Foundation of China (50879041).

通讯作者:  SongHao SHANG    E-mail:  shangsh@tsinghua.edu.cn
引用本文:    
SongHao SHANG. A general multi-objective programming model for minimum ecological flow or water level of inland water bodies[J]. 干旱区科学, 2015, 7(2): 166-176.
SongHao SHANG. A general multi-objective programming model for minimum ecological flow or water level of inland water bodies. Journal of Arid Land, 2015, 7(2): 166-176.
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http://jal.xjegi.com/CN/10.1007/s40333-014-0077-6  或          http://jal.xjegi.com/CN/Y2015/V7/I2/166
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