李保国, 黄峰. 1998~2007年中国农业用水分析[J]. 水科学进展, 2010, 21(4): 575-583.
引用本文: 李保国, 黄峰. 1998~2007年中国农业用水分析[J]. 水科学进展, 2010, 21(4): 575-583.
LI Bao-guo, HUANG Feng. Trends in China’s agricultural water use during recent decade using the green and blue water approach[J]. Advances in Water Science, 2010, 21(4): 575-583.
Citation: LI Bao-guo, HUANG Feng. Trends in China’s agricultural water use during recent decade using the green and blue water approach[J]. Advances in Water Science, 2010, 21(4): 575-583.

1998~2007年中国农业用水分析

Trends in China’s agricultural water use during recent decade using the green and blue water approach

  • 摘要: 中国农业用水在未来将面临巨大的挑战。根据国际农业用水研究和政策领域近10年出现的范式变迁的核心内容,建立了基于"绿水"、"蓝水"的中国农业用水的新综合分析框架。并利用广义农业水资源量和广义农业水土资源匹配的概念和评估方法,分析了全国1998~2007年10年间4种主要粮食作物(水稻、小麦、玉米和大豆)的农业用水、耗水以及水分生产力变化趋势和现状。结果表明:中国广义农业水资源量中57%来源于耕地有效降水的"绿水",43%来源于耕地灌溉"蓝水"。主要粮食作物水分生产力水平已经接近或达到世界较高水平。未来继续提升水分生产力的任务将会更加艰巨。因此,为保证中国粮食安全,建议国家设立"粮食安全水资源红线"。同时,根据广义农业水资源量的分析计算,主要粮食作物用水安全红线应该划定在大约7800亿m3左右。

     

    Abstract: China agricultural water use and management are facing enormous challenges in the 21st century.The core concepts of the paradigm shift in the global scientific research and public policy are regarding the agricultural water use and management in the last decade,i.e.,green water(GW),blue water(BW),the crop water productivity (CWP),and the broadly-defined agricultural water resources(BAWR),as well as matching between the cropland and the BAWR.Using these concepts,we propose an integrated framework for assessing China's agricultural water use of 1998-2007.The results reveal that among all the water that is potentially available for the cropland use,the GW contribution accounts for 57%and the remaining 43% are coming from BW.The CWP of major grain crops have already been at or approaching to the higher levels as measured by the international standards.Further improvement on the subject is thus limited.Based upon our estimated value of BAWR,the bottom line of water resources for the China's food security should then be set at 7 800×108m3.

     

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