康艳, 闫亚廷, 杨斌. 基于LMDI-SD耦合模型的绿色发展灌区水资源承载力模拟[J]. 农业工程学报, 2020, 36(19): 150-160. DOI: 10.11975/j.issn.1002-6819.2020.19.017
    引用本文: 康艳, 闫亚廷, 杨斌. 基于LMDI-SD耦合模型的绿色发展灌区水资源承载力模拟[J]. 农业工程学报, 2020, 36(19): 150-160. DOI: 10.11975/j.issn.1002-6819.2020.19.017
    Kang Yan, Yan Yating, Yang Bin. Simulation of water resource carrying capacity based on LMDI-SD model in green development irrigation areas[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2020, 36(19): 150-160. DOI: 10.11975/j.issn.1002-6819.2020.19.017
    Citation: Kang Yan, Yan Yating, Yang Bin. Simulation of water resource carrying capacity based on LMDI-SD model in green development irrigation areas[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2020, 36(19): 150-160. DOI: 10.11975/j.issn.1002-6819.2020.19.017

    基于LMDI-SD耦合模型的绿色发展灌区水资源承载力模拟

    Simulation of water resource carrying capacity based on LMDI-SD model in green development irrigation areas

    • 摘要: 针对灌区大量引水导致的河道断流、生态环境恶化以及水资源利用效率不高等问题,开展绿色发展模式下水资源承载能力模拟研究。以宝鸡峡灌区为研究区,基于Divisia指数分解、Kaya恒等式以及系统动力学理论,提出对数平均迪氏分解与系统动力学耦合模型,从需水机理出发识别灌区用水量变化的主要驱动因子;运用情景分析法,考虑生态需水、高效节水、产业结构调整和外调水等情景设置5种模拟方案,对2017-2030年灌区需水量进行动态模拟;引入水资源承载指数探讨规划年2025年和2030年的水资源承载力水平。结果表明:灌区各部门用水定额对用水量变化起主要驱动作用;按方案1(现状发展模式),2025年水资源基本可承载灌区社会经济发展,但2030年出现轻度超载;方案5(绿色发展模式)通过对用水变化主要驱动因子的调控,到2030年,水资源承载指数均小于1,属于可承载状态。研究表明,通过合理的调控措施可有效地缓解灌区水资源供需矛盾、提升水资源承载能力。研究可为干旱半干旱灌区绿色发展模式下水资源合理开发提供科学的决策依据。

       

      Abstract: Aiming at the problems of river dry-up, deterioration of the eco-environment and inefficient use of water resources caused by water diversion in the irrigation area, water resources carrying capacity under the green development model was simulated. Taking the Baojixia irrigation area as the research area, based on divisia exponential decomposition, Kaya equation and system dynamics theory, a coupled model with Logarithmic Mean Divisia Index (LMDI) and System Dynamics (SD) was proposed. LMDI model, based on water demand mechanism, was developed to decompose and identify the main driving factors for changes of the water consumption, including irrigation water consumption, industrial water consumption and domestic water consumption in the irrigation area. System dynamics model was employed to simulate the water requirement via inputting the key driving factors from the LMDI model. Five simulation schemes were set up using scheme analysis method, including ecological water demand, high-efficiency water saving, industrial structure adjustment and external water diversion. The proposed models were used to simulate the water demand of the irrigation area dynamically in the future, from 2017 to 2030. The levels of water resources carrying capacity were discussed by employing water resources carrying index in the planning year 2025 and 2030. The results showed that the quotas of water consumption played the major driving roles in the change of water consumption in different departments of irrigation area by analyzing historical data. According to the simulation results of the scheme 1 (current development model), the differences between supply and demand water were positive, and the carrying indexes of water resources were less than 1, which means the water resources could carry the development of the irrigation area in 2025. In 2030, the carrying indexes were greater than 1, which indicated that water resources were overloaded. Under the scheme 2 (environment-friendly model), the scheme 3 (environment-friendly and water-saving model) and the scheme 4 (environment-friendly, water-saving and industrial structure adjustment model ), P=75% in 2030, the differences between supply and demand water were negative, and the carrying indexes were greater than 1, indicating that the water resources cannot supply the social and economic development. But for the scheme 5 (green development model), the differences between supply and demand water were positive, and the carrying indexes of water resource were less than 1 through regulating the main driving factors of the water consumption in 2025 and 2030, which implied that the water resources can carry the development of the irrigation area. It was also shown that reasonable measures can alleviate effectively the contradiction between water supply and demand in irrigation areas and improve the water carrying capacity. The purpose of this study is to provide a scientific decision-making method for the rational utilization of water resources under the green development model in the arid and semi-arid irrigation areas.

       

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