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Grid-Based Land-Use Composition and Configuration Optimization for Watershed Stormwater Management

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  • Ge Zhang
  • Subhrajit Guhathakurta
  • Susannah Lee
  • Amy Moore
  • Lijiao Yan

Abstract

This paper demonstrates a new method of optimizing land-use patterns to reduce the negative impacts of urbanization on watershed stormwater systems. The Yong-Ding watershed in western Beijing, China, serves as a case study for this research. A regression model that estimates watershed hydrology response to land use pattern changes is integrated with a land-use allocation model to determine the optimal landuse pattern for minimizing peak flow or total volume at the watershed outlet. This system also uses the CLUE-S model to generate empirical land-use patterns under different development intensities and then determines the land use pattern change constraints for each optimization process. The impacts of optimization are detected by comparing the land use pattern characteristics and watershed hydrology of empirical and optimal scenarios under the same development intensity. The results of the hydrological evaluation suggest that, compared to land-use location control, land-use composition and configuration control may be a more powerful method for minimizing the negative hydrological impact of urbanization. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Ge Zhang & Subhrajit Guhathakurta & Susannah Lee & Amy Moore & Lijiao Yan, 2014. "Grid-Based Land-Use Composition and Configuration Optimization for Watershed Stormwater Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2867-2883, August.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:10:p:2867-2883
    DOI: 10.1007/s11269-014-0642-y
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    References listed on IDEAS

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    1. Peng Shi & Xinxin Ma & Yuanbing Hou & Qiongfang Li & Zhicai Zhang & Simin Qu & Chao Chen & Tao Cai & Xiuqin Fang, 2013. "Effects of Land-Use and Climate Change on Hydrological Processes in the Upstream of Huai River, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1263-1278, March.
    2. Azam Haidary & Bahman Amiri & Jan Adamowski & Nicola Fohrer & Kaneyuki Nakane, 2013. "Assessing the Impacts of Four Land Use Types on the Water Quality of Wetlands in Japan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2217-2229, May.
    3. Goffe, William L. & Ferrier, Gary D. & Rogers, John, 1994. "Global optimization of statistical functions with simulated annealing," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 65-99.
    4. Eglese, R. W., 1990. "Simulated annealing: A tool for operational research," European Journal of Operational Research, Elsevier, vol. 46(3), pages 271-281, June.
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    Cited by:

    1. Liping Zhang & Shiwen Zhang & Yajie Huang & Meng Cao & Yuanfang Huang & Hongyan Zhang, 2016. "Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model," IJERPH, MDPI, vol. 13(4), pages 1-20, March.
    2. Tewodros Assefa Nigussie & Abdusselam Altunkaynak, 2016. "Assessing the Hydrological Response of Ayamama Watershed from Urbanization Predicted under Various Landuse Policy Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3427-3441, August.

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