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A general multi-objective programming model for minimum ecological flow or water level of inland water bodies

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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 ecosystems, 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 ecological 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 regeneration 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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References

  • Abbaspour M, Nazaridoust A. 2007. Determination of environmental water requirements of Lake Urmia, Iran: an ecological approach. International Journal of Environmental Studies, 64(2): 161–169.

    Article  Google Scholar 

  • Ahn C, Moser K F, Sparks R E, et al. 2007. Developing a dynamic model to predict the recruitment and early survival of black willow (Salix nigra) in response to different hydrologic conditions. Ecological Modelling, 204(3–4): 315–325.

    Article  Google Scholar 

  • Bao A M, Mu G J, Zhang Y, et al. 2006. Estimation of the rational water area for controlling wind erosion in the dried-up basin of the Ebinur Lake and its effect detection. Chinese Science Bulletin, 51(SI): 68–74.

    Article  Google Scholar 

  • Beca. 2008. Draft Guidelines for the Selection of Methods to Determine Ecological Flows and Water Levels. Report prepared by Beca Infrastructure Ltd for MfE. Wellington: Ministry for the Environment.

    Google Scholar 

  • Bovee K D. 1982. A guide to stream habitat analysis using the instream flow incremental methodology. In: Instream Flow Information Paper 12. Washington D C: Fish and Wildlife Service, Office of Biological Services.

    Google Scholar 

  • Braatne J H, Rood S B, Goater L A, et al. 2008. Analyzing the impacts of dams on riparian ecosystems: a review of research strategies and their relevance to the Snake River through Hells Canyon. Environmental Management, 41(2): 267–281.

    Article  Google Scholar 

  • Cui B S, Zhao X, Yang Z F. 2005. Eco-hydrology-based calculation of minimum ecological water requirement for lakes. Acta Ecologica Sinica, 25(7): 1788–1795. (in Chinese)

    Google Scholar 

  • Gippel C J, Stewardson M J. 1998. Use of wetted perimeter in defining minimum environmental flows. Regulated Rivers: Research and Management 14(1): 53–67.

    Article  Google Scholar 

  • Hao Z C, Shang S H. 2008. Multi-objective assessment method based on physical habitat simulation for calculating ecological river flow demand. Journal of Hydraulic Engineering, 39(5): 557–561. (in Chinese)

    Google Scholar 

  • Hughes F M R, Rood S B. 2003. Allocation of river flows for restoration of floodplain forest ecosystems: a review of approaches and their applicability in Europe. Environmental Management, 32(1): 12–33.

    Article  Google Scholar 

  • Jain S K. 2012. Assessment of environmental flow requirements. Hydrological Processes, 26(22): 3472–3476.

    Article  Google Scholar 

  • Jia C G, Wang X F, Jin H L, et al. 2006. Research on the dynamic changes of Ebinur Lake area and the effects. Journal of Arid Land Resources and Environment, 20(4): 152–156. (in Chinese)

    Google Scholar 

  • Jowett I G. 1997. Instream flow methods: a comparison of approaches. Regulated Rivers: Research and Management, 13(2): 115–127.

    Article  Google Scholar 

  • King J, Louw D. 1998. Instream flow assessments for regulated rivers in South Africa using the building block methodology. Aquatic Ecosystem Health and Management, 1(2): 109–124.

    Article  Google Scholar 

  • Li D Z. 1999. Hydrological characteristics of the Ertix River. Journal of China Hydrology, (4): 54–57. (in Chinese)

    Google Scholar 

  • Li L J, Li J Y, Liang L Q, et al. 2009. Method for calculating ecological water storage and ecological water requirement of marsh. Journal of Geographical Sciences, 19(4): 427–436.

    Article  Google Scholar 

  • Li X H, Song Y D, Li Y T, et al. 2007. Calculation methods of lowest ecological water level of lake. Arid Land Geography, 30(4): 526–530. (in Chinese)

    Google Scholar 

  • Liu D W, Abuduwaili J, Lei J Q, et al. 2011. Wind erosion of saline playa sediments and its ecological effects in Ebinur Lake, Xinjiang, China. Environmental Earth Sciences, 63(2): 241–250.

    Article  Google Scholar 

  • Liu S X, Mo X G, Xia J, et al. 2006. Estimating minimum in-stream flow requirements via wetted perimeter method. Journal of Geographical Sciences, 16(2): 242–250

    Article  Google Scholar 

  • Liu Y Q, Wang X F, Wu Y. 2008. Study on the lowest ecological water level of Aiby Lake. Journal of Arid Land Resources and Environment, 22(10): 111–114. (in Chinese)

    Google Scholar 

  • Mahoney J M, Rood S B. 1998. Stream flow requirements for cottonwood seedling recruitment: an integrative model. Wetlands, 18(4): 634–645.

    Article  Google Scholar 

  • Shang S H. 2006. System Analysis of Water Resources: Methods and Applications. Beijing: Tsinghua University Press, 135–137. (in Chinese)

    Google Scholar 

  • Shang S H. 2008. A multiple criteria decision-making approach to estimate minimum environmental flows based on wetted perimeter. River Research and Applications, 24(1): 54–67.

    Article  Google Scholar 

  • Shang S H, Mao X M. 2010. Determination of minimum flood stage and flow for the regeneration of floodplain forest from inundated forest width-stage curve. Water Science and Engineering, 3(3): 257–268.

    Google Scholar 

  • Shang S H. 2013. Lake surface area method to define minimum ecological lake level from level-area-storage curves. Journal of Arid Land, 5(2): 133–142.

    Article  Google Scholar 

  • Sun T, Yang Z F, Cui B S. 2008. Critical environmental flows to support integrated ecological objectives for the yellow river estuary, China. Water Resources Management, 22(8): 973–989.

    Article  Google Scholar 

  • Tan Y Y, Wang X, Li C H, et al. 2012. Estimation of ecological flow requirement in Zoige Alpine Wetland of southwest China. Environmental Earth Sciences, 66(5): 1525–1533.

    Article  Google Scholar 

  • Tennant D L. 1976. Instream flow regimens for fish, wildlife, recreation and related environmental resources. Fisheries, 1(4): 6–10.

    Article  Google Scholar 

  • Tharme R E. 2003. A global perspective on environmental flow assessment: emerging trends in the development and application of environmental flow methodologies for rivers. River Research and Applications, 19(5–6): 397–441.

    Article  Google Scholar 

  • Van der Lee G E M, Van der Molen D T, Van den Boogaard H F P, et al. 2006. Uncertainty analysis of a spatial habitat suitability model and implications for ecological management of water bodies. Landscape Ecology, 21(7): 1019–1032.

    Article  Google Scholar 

  • Waddle T J. 2001. PHABSIM for Windows: User’s Manual and Exercises. Fort Collins: U.S. Geological Survey.

    Google Scholar 

  • Xu Z X, Chen M J, Dong Z C. 2004. Researches on the calculation methods of the lowest ecological water level of lake. Acta Ecologica Sinica, 24(10): 2324–2328. (in Chinese)

    Google Scholar 

Download references

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Authors and Affiliations

  1. State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China

    SongHao Shang

  2. Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China

    SongHao Shang

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  1. SongHao Shang
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Correspondence to SongHao Shang.

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Shang, S. A general multi-objective programming model for minimum ecological flow or water level of inland water bodies. J. Arid Land 7, 166–176 (2015). https://doi.org/10.1007/s40333-014-0077-6

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  • DOI: https://doi.org/10.1007/s40333-014-0077-6

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