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The response of crop water productivity to climatic variation in the upper-middle reaches of the Heihe River basin, Northwest China

机译:中国西北部黑河流域上部地区作物水生产率对气候变异的响应

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The Heihe River basin is one of the important bases for commercial grain production in China. The climate change impacts on crop yield and crop water productivity (CWP) need to be examined for sustainable development of regional agriculture, especially under the pressure of population growth and regional water scarcity. A distributed hydrological model was constructed for the upper-middle reaches of the Heihe River basin on the basis of the Soil and Water Assessment Model (SWAT). The sensitivity ranks of hydrological parameters were evaluated for the runoff and evapotranspiration processes, and then independently calibrated with the observations of three gauging stations (Qilian, Zhamashike, and Yingluoxia stations) and the evapotranspiration data derived by remote-sensing. The study first simulated crop yield and CWP for four typical crop types, namely corn, spring wheat, spring barley, and spring canola-Polish, for the period of 1966-2014 using the SWAT model, calibrated with the crop yield data (during the period of 2005-2014) from Zhangye Statistics Yearbook. The spatial-temporal features of crop yield and CWP were analyzed. A fluctuating growth was found for the 49 year trend of corn, spring wheat, and spring canola-Polish. The spring barley shows a slightly decreasing trend. The high-yield area moved from the west part (Suzhou and Gaotai counties) to the east part (Linze, Ganzhou, and Shandan counties) of the basin for the past 49 years, and the area of high CWP concentrated in the Gaotai and Linze Counties. The responses of CWP to climatic forcing were further studied using wavelet coherence method. It is found that maximum temperature dominated the CWP evolutions, especially at the long-term scales. The corn showed the largest elastic responses to the climatic factors, which may be favorable to improve regional CWP by expanding planting area. In addition, the strategies of regional CWP improvement were discussed based on the results.
机译:黑河流域是中国商业粮食生产的重要基础之一。需要审查对作物产量和作物水生产率(CWP)对区域农业的可持续发展的影响,特别是在人口增长和区域水资源稀缺的压力下。在土壤和水评估模型(SWAT)的基础上,为黑河河流域的上部到处构建了分布式水文模型。评估水文参数的敏感性等级对径流和蒸发过程,然后独立地校准三个测量站(祁连,Zhamashike和Yingluoxia站)和通过遥感来源的蒸发数据。该研究首先模拟了四种典型作物类型的作物产量和CWP,即玉米,春小麦,弹簧大麦和春季釜油,在使用SWAT模型的1966-2014期间,用作物产量数据校准(在2005 - 2014年的时期)来自张掖统计年鉴。分析了作物产量和CWP的空间时间特征。玉米玉米,春小麦和春季釜兰抛光的49年趋势发现了波动的增长。春天大麦呈略有下降趋势。从西部(苏州和盖泰县)到盆地的东部(苏州和高地县)的高屈服地区于过去49年来,高CWP领域集中在Gaotai和Linze县。使用小波相干方法进一步研究了CWP对气候强制的反应。结果发现,最高温度占据了CWP演进,特别是在长期尺度上。玉米表现出对气候因子的最大弹性响应,这可能是通过扩大种植区域来改善区域CWP的。此外,根据结果讨论了区域CWP改善的策略。

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