| 韩杰,陈兴鹏.基于水足迹的民勤县农作物耗水当量与气候响应评估[J].干旱地区农业研究,2017,35(6):216~226 |
| 基于水足迹的民勤县农作物耗水当量与气候响应评估 |
| Climate response for equivalence of crop water consumption induced by climate in Minqin County based on water footprint |
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| DOI：10.7606/j.issn.1000-7601.2017.06.32 |
| 中文关键词: 水足迹 水资源压力指数 气候耗水当量 民勤县 |
| 英文关键词:water footprint, WSI, water consumption induced by climate Minqin County |
| 基金项目:国家社会科学基金项目(11BSH059)；国家自然科学基金项目(40871061， 41471462)；兰州大学中央高校基本科研业务费专项资金(13LZUJBWZB003) |
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| 中文摘要: |
| 在阐述水足迹、水资源压力指数的基础上，计算了1991—2013年民勤县8种主要农作物（玉米、小麦、棉花、葵花、苹果、瓜类、蔬菜）蓝水需水量、总耗水当量和单位作物耗水当量，研究了这些作物在23年内总耗水当量和单位耗水当量的时间序列变化规律，并对比三种经济技术耗水分离模型，分离出4种典型作物（小麦、玉米、棉花、瓜类）单位气候耗水当量，最后选择逐步回归分析法探讨了作物气候耗水当量与相关气候因子之间的关系。结果表明：(1) 民勤总耗水当量逐年增加，粮食作物总耗水当量变化最大，蔬菜、油料作物（葵花）次之，单位作物耗水当量在震荡中逐年递减；(2) HP滤波法为最优气候耗水当量分离模型，单位作物气候耗水当量趋势性不明显，序列期内震荡显著，且不同作物差异较大；(3) 显著影响单位作物气候耗水当量的主要气候因子为5、6月份总降水量和7月份相对湿度，与生长期内气温要素相关性不强。可见，不同作物耗水变化的气候响应模式差异较大，整体受降水和温度的影响显著，但对全球气候变暖大趋势的响应机制尚不明确。 |
| 英文摘要: |
| On the basis of elaboration of the water footprint and the water resources stress indicators, we calculated the blue water demand, the total water consumption and the unit of crop water consumption of eight kinds of crops, (maize, wheat, cotton, sunflower, apple, melons and vegetables) in Minqin County from 1991 to 2013. And we studied the variation law of total water consumption and unit of water consumption with time of these crops in 23 years. We analyzed unit climate water consumption of four kinds of typical crops: wheat, maize, cotton and melons, using preferred HP filter method from three kinds of economic and technical analysis models of water consumption. Furthermore, we discussed the relationship between climate water consumption and the related climate factors of these crops using stepwise regression analysis method. The results were amazing. Firstly, water consumption of crops increased year by year, maximum total water consumption of food crops changed the most, followed by vegetables and sunflower. However, unit of crop water consumption diminished in the wave. Secondly, HP filter method is an optimal model for analyzing climate water consumption. The trend of unit of crop climate water consumption was inapparent, but the wave was prominent in this period, and the difference was significant between different crops. Thirdly, the main climate factors that influenced the unit of crop climate water consumption were total rainfall in May and June and relative humidity in July, and there was no significant correlation with temperature during the growth period. In conclusion, response mode to climate change of different crop's water consuption changes vary greatly. Crop's water consurnption is affetted by precipitation and humidity significantly and the response mode trend of global warming is not obvious. |
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