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Application of water footprint combined with a unified virtual crop pattern to evaluate crop water productivity in grain production in China

机译:水足迹与统一虚拟作物模式相结合在中国粮食生产中评价作物水分生产率的应用

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摘要

Water shortages are detrimental to China's grain production while food production consumes a great deal of water causing water crises and ecological impacts. Increasing crop water productivity (CWP) is critical, so China is devoting significant resources to develop water-saving agricultural systems based on crop planning and agricultural water conservation planning. A comprehensive CWP index is necessary for such planning. Existing indices such as water use efficiency (WUE) and irrigation efficiency (IE) have limitations and are not suitable for the comprehensive evaluation of CWP. The water footprint (WF) index, calculated using effective precipitation and local water use, has advantages for CWP evaluation. Due to regional differences in crop patterns making the CWP difficult to compare directly across different regions, a unified virtual crop pattern is needed to calculate the WF. This project calculated and compared the WF of each grain crop and the integrated WFs of grain products with actual and virtual crop patterns in different regions of China for 2010. The results showed that there were significant differences for the WF among different crops in the same area or among different areas for the same crop. Rice had the highest WF at 1.39 m~3/kg, while corn had the lowest at 0.91 m~3/kg among the main grain crops. The WF of grain products was 1.25 m~3/kg in China. Crop patterns had an important impact on WF of grain products because significant differences in WF were found between actual and virtual crop patterns in each region. The CWP level can be determined based on the WF of a virtual crop pattern, thereby helping optimize spatial distribution of crops and develop agricultural water savings to increase CWP.
机译:缺水不利于中国的粮食生产,而粮食生产消耗大量水,造成水危机和生态影响。提高作物水分生产率(CWP)至关重要,因此中国正在投入大量资源,根据作物规划和农业节水规划来发展节水农业系统。全面的CWP索引对于此类规划是必要的。现有指标(如用水效率(WUE)和灌溉效率(IE))有局限性,不适合用于CWP的综合评估。使用有效降水量和当地用水量计算的水足迹(WF)指数对于CWP评估具有优势。由于作物模式的区域差异,使CWP难以直接在不同区域之间进行比较,因此需要统一的虚拟作物模式来计算WF。该项目计算并比较了2010年中国不同地区的每种谷物作物的WF和谷物产品的WF与实际和虚拟作物的格局。结果表明,同一地区不同作物之间的WF有显着差异。或同一农作物的不同区域之间。在主要粮食作物中,水稻的WF最高,为1.39 m〜3 / kg,而玉米最低,为0.91 m〜3 / kg。中国谷物产品的WF为1.25 m〜3 / kg。作物形态对谷物产品的WF有重要影响,因为在每个区域的实际和虚拟作物形态之间都发现WF的显着差异。可以基于虚拟作物模式的WF来确定CWP水平,从而帮助优化作物的空间分布并发展农业节水以增加CWP。

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  • 来源
    《Science of the total environment》 |2014年第1期|1-9|共9页
  • 作者单位

    Key Laboratory for Agricultural Soil and Water Engineering in Arid Area of Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, PR China, Institute of Water Saving Agriculture in Arid Regions of China, Northwest A&F University, Yangling, Shaanxi 712100, PR China, Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47906, USA;

    Key Laboratory for Agricultural Soil and Water Engineering in Arid Area of Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, PR China, Institute of Water Saving Agriculture in Arid Regions of China, Northwest A&F University, Yangling, Shaanxi 712100, PR China, College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, PR China;

    Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47906, USA;

    Key Laboratory for Agricultural Soil and Water Engineering in Arid Area of Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, PR China, Institute of Water Saving Agriculture in Arid Regions of China, Northwest A&F University, Yangling, Shaanxi 712100, PR China;

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

    Water footprint; Crop pattern; Crop water productivity; Water use efficiency; Irrigation efficiency; China;

    机译:水足迹;作物模式;作物水分生产率;用水效率;灌溉效率;中国;

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