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An Interval Two-Stage Stochastic Programming Model for Flood Resources Allocation under Ecological Benefits as a Constraint Combined with Ecological Compensation Concept

Author

Listed:
  • Yu Qiu

    (Northeast Asian Studies College, Jilin University, Changchun 130012, China)

  • Yuan Liu

    (Key Laboratory of Environmental Change and Natural Disaster, MOE, Beijing Normal University, Beijing 100875, China)

  • Yang Liu

    (School of Water Resources and Environment Engineering, Changchun Institute of Technology, Changchun 130012, China)

  • Yingzi Chen

    (Northeast Asian Studies College, Jilin University, Changchun 130012, China)

  • Yu Li

    (College of Environmental Science and Engineering, North China Electrical Power University, Beijing 102206, China)

Abstract

The Momoge National Nature Reserve (MNNR) is located at the intersection of Nenjiang and Taoer Rivers in Baicheng City, Jilin Province, where the Taoer River is the main source of water for the nature reserve. However, due to the construction of the water control project in the upper reaches of the Taoer River, the MNNR has been in a state of water shortage for a long time. To guarantee the wetland function of the nature reserve, the government planned to carry out normal and flood water supply from Nenjiang River through the West Water Supply Project of Jilin Province. Therefore, how to improve the utilization of flood resources effectively has become one of the key issues of ecological compensation for the MNNR. In this paper, a flood resources optimal allocation model that is based on the interval two-stage stochastic programming method was constructed, and the corresponding flood resource availability in different flow scenarios of Nenjiang River were included in the total water resources to improve their utilization. The results showed that the proportion of flood resources that were used in the MNNR after optimization was more than 70% under different flow scenarios, among which the proportion of flood resources under a low-flow scenario reached 77%, which was 23% higher than the proposed increase. In addition, the ecological benefits of low, medium, and high flow levels reached the range of 26.30 (10 6 CNY) to 32.14(10 6 CNY), 28.21(10 6 CNY) to 34.49(10 6 CNY) and 29.41(10 6 CNY) to 35.94(10 6 CNY), respectively. According to the results, flood resources significantly reduce the utilization of normal water resources, which can be an effective supplement to the ecological compensation of nature reserves and provide a basis for the distribution of transit flood resources in other regions.

Suggested Citation

  • Yu Qiu & Yuan Liu & Yang Liu & Yingzi Chen & Yu Li, 2019. "An Interval Two-Stage Stochastic Programming Model for Flood Resources Allocation under Ecological Benefits as a Constraint Combined with Ecological Compensation Concept," IJERPH, MDPI, vol. 16(6), pages 1-18, March.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:6:p:1033-:d:216135
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    References listed on IDEAS

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    1. Feng Huang & Bo Yan & Xiao Zhang & Dayong Zhao & Lidan Guo & Yuankun Wang & Ziqiang Xia, 2018. "Water Regime Evolution of Large Seasonal Lakes: Indicators for Characterization and an Application in Poyang Lake, China," IJERPH, MDPI, vol. 15(11), pages 1-20, November.
    2. H. Lu & G. Huang & G. Zeng & I. Maqsood & L. He, 2008. "An Inexact Two-stage Fuzzy-stochastic Programming Model for Water Resources Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(8), pages 991-1016, August.
    3. Zhe Yuan & Jijun Xu & Yongqiang Wang, 2018. "Projection of Future Extreme Precipitation and Flood Changes of the Jinsha River Basin in China Based on CMIP5 Climate Models," IJERPH, MDPI, vol. 15(11), pages 1-17, November.
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    Cited by:

    1. Jitao Zhang & Zengchuan Dong & Tian Chen, 2020. "Multi-Objective Optimal Allocation of Water Resources Based on the NSGA-2 Algorithm While Considering Intergenerational Equity: A Case Study of the Middle and Upper Reaches of Huaihe River Basin, Chin," IJERPH, MDPI, vol. 17(24), pages 1-18, December.
    2. Xianrui Liao & Chong Meng & Zhixing Ren & Wenjin Zhao, 2020. "Optimization of Ecological Water Supplement Scheme for Improved Suitable Habitat Area for Rare Migratory Birds in Nature Reserves Using Interval-Parameter Fuzzy Two-Stage Stochastic Programming Model," IJERPH, MDPI, vol. 17(20), pages 1-20, October.
    3. Junfei Chen & Qian Li & Huimin Wang & Menghua Deng, 2019. "A Machine Learning Ensemble Approach Based on Random Forest and Radial Basis Function Neural Network for Risk Evaluation of Regional Flood Disaster: A Case Study of the Yangtze River Delta, China," IJERPH, MDPI, vol. 17(1), pages 1-21, December.
    4. Yuanyuan Li & Zhenmin Ding & Shunbo Yao & Caixia Xue & Yuanjie Deng & Lei Jia & Chaoqing Chai & Xiao Zhang, 2022. "How to Price Ecosystem Water Yield Service and Determine the Amount of Compensation?—The Wei River Basin in China as an Example," Land, MDPI, vol. 11(7), pages 1-14, July.

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