發(fā)布時(shí)間：2021-04-11 10:47

　　This study applies a hydroeconomic optimization method for water resources management in the highly water stressed Haihe River basin. A multi-objective, multi-temporal deterministic hydroeconomic optimization model has been built to quantify the economic trade-offs and reveal "minimum cost strategies" when reducing groundwater abstraction to sustainable levels. A complex basin representation, with ～140,000 decision variables is formulated where each decision variable represents a flow-path from ... 

【文章來源】：Journal of Geographical Sciences. 2019,29(06)SCICSCD

【文章頁(yè)數(shù)】：24 頁(yè)

【文章目錄】：
1 Introduction
2 Methods and data
    2.1 Study region and input data
        2.1.1 Conceptual model
        2.1.2 Hydrological data
            （1） Catchment run-off
            （2） Inter-basin transfers
            （3） Groundwater resources
        2.1.3 Water demands
    2.2 Hydroeconomic optimization model
        2.2.1 Constraints
        2.2.2 Constraining method
        2.2.3 Shadow prices
    2.3 Economic input data
        2.3.1 Curtailment costs
        2.3.2 The cost of groundwater
3 Results
    3.1 Budyko modeling of catchment runoff
    3.2 Groundwater aquifer storage
    3.3 Average shadow prices of surface water sources
    3.4 Temporal variation of surface water availability shadow prices
    3.6 Economic costs associated with achieving sustainable groundwater abstraction
    3.7 Allocation patterns
    3.8 Model sensitivity
4 Discussion
    4.1 Choice of hydroeconomic modelling framework
    4.2 Uncertainty of available water resource
    4.3 Demand for input data
    4.4 Implications of models results
    4.5 Further model development
5 Conclusions
    5.1 Model framework
    5.2 Economic efficient and sustainable water resource allocations
    5.3 Future model improvements


【參考文獻(xiàn)】：
期刊論文
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[2]水資源經(jīng)濟(jì)價(jià)值計(jì)算與分析[J]. 李良縣,甘泓,汪林,倪紅珍,穆淑敏.  自然資源學(xué)報(bào). 2008(03)
[3]Using CropSyst to Simulate Spring Wheat Growth in Black Soil Zone of Northeast China[J]. WANG Zong-Ming, ZHANG Bai, LI Xiao-Yan, SONG Kai-Shan, LIU Dian-Wei and ZHANG Shu-Qing Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun 130012 (China)..  Pedosphere. 2006(03)



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