...
首页> 外文期刊>The Science of the Total Environment >Evaluating drivers and flow patterns of inter-provincial grain virtual water trade in China
【24h】

Evaluating drivers and flow patterns of inter-provincial grain virtual water trade in China

机译:评估中国省间粮食虚拟水贸易的司机和流量模式

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

China's food security is facing serious threats because the virtual water triggered by grain trade flows from the water-scarce north region to the water-rich south region in recent years. Thus, quantitatively evaluating grain virtual water flow is increasingly important. We established a multi-objective linear optimization model based on analyzing drivers of grain trade by the entropy method, and the two drivers of transport cost and grain consumption structure between provinces were analyzed. The results show that the virtual water flow of inter-provincial grain trade of China was 98.38 Gm~3 in 2015, accounting for 15% of the total water consumption of grain production. The impact weights of grain transportation cost and difference of grain consumption structure between provinces on virtual water flow were 0.665 and 0.335, respectively. Although the production and consumption of grain in northern region were almost the same, the virtual water imbedded in grain trade still flowed from the north to the south under the influence of grain imports from abroad and grain consumption structure. Compared to previous methods, the model added the principle of the entropy method into linear programming analysis. This innovative model not only quantitatively evaluated the driving forces of grain trade through the weight coefficient, but also established a universal model of quantifying grain virtual water flow. Moreover, we reduced data assumptions, such as not considering actual grain imports and transport modes of grain, which improves the credibility of quantitative results. The model quantified virtual water from the perspective of driving impacts and precluded the limitations of trade data. The model can be used in other countries and regions, where trade data is difficult to obtain, to calculate trade patterns. The results are useful for decision makers to implement virtual water strategies, mitigate national water scarcity, and facilitate sustainable development of grain production.
机译:中国的粮食安全正面临严重的威胁,因为近年来粮食贸易从水资源稀缺北部地区的粮食贸易流动触发的虚拟水。因此,定量评估晶粒虚拟水流越来越重要。我们建立了一种基于熵方法分析粮食贸易驱动程序的多目标线性优化模型,分析了各省省份运输成本和谷物消费结构的两个驱动因素。结果表明,2015年中国省矿产贸易的虚拟水流为98.38〜3,占粮食产量总消耗量的15%。粮食运输成本的冲击重量和虚拟水流省谷物消费结构的差异分别为0.665和0.335。虽然北部地区的粮食的生产和消费几乎是相同的,但在粮食贸易中嵌入的虚拟水仍然在北方的粮食进口到国外的影响和谷物消费结构下流动。与以前的方法相比,模型将熵方法的原理添加到线性编程分析中。这种创新模型不仅定量评估了通过体重系数的粮食贸易的驱动力,而且建立了量化谷物虚拟水流的通用模型。此外,我们减少了数据假设,例如不考虑实际谷物进口和谷物的运输方式,这提高了定量结果的可信度。从驾驶冲击的角度来看,模型量化了虚拟水,并排除了贸易数据的局限性。该模型可用于其他国家和地区,其中难以获得交易数据,以计算贸易模式。结果对于决策者为实施虚拟水战略,减轻国家水资源稀缺,并促进粮食生产的可持续发展。

著录项

  • 来源
    《The Science of the Total Environment》 |2020年第25期|139251.1-139251.11|共11页
  • 作者单位

    Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas Ministry of Education Northwest A & F University Yangling 712100 Shaanxi China Institute of Water Saving Agriculture in Arid regions of China Northwest A & F University Yangling 712100 Shaanxi China;

    Department of Agricultural and Biological Engineering Purdue University West Lafayette IN 47907 USA;

    Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas Ministry of Education Northwest A & F University Yangling 712100 Shaanxi China Institute of Water Saving Agriculture in Arid regions of China Northwest A & F University Yangling 712100 Shaanxi China;

    Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas Ministry of Education Northwest A & F University Yangling 712100 Shaanxi China Institute of Water Saving Agriculture in Arid regions of China Northwest A & F University Yangling 712100 Shaanxi China;

    Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas Ministry of Education Northwest A & F University Yangling 712100 Shaanxi China Institute of Water Saving Agriculture in Arid regions of China Northwest A & F University Yangling 712100 Shaanxi China;

    Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas Ministry of Education Northwest A & F University Yangling 712100 Shaanxi China Institute of Water Saving Agriculture in Arid regions of China Northwest A & F University Yangling 712100 Shaanxi China Department of Agricultural and Biological Engineering Purdue University West Lafayette IN 47907 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Grain virtual water trade; Driving factors; Multi-objective linear programming model; Entropy method; China;

    机译:粮食虚拟水资源;驱动因素;多目标线性规划模型;熵方法;中国;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号