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Hydrological impacts of climate change in the upper reaches of the Yangtze River Basin

机译:长江流域上游气候变化对水文的影响

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摘要

Recent water resource crises underlie the need for more research aimed at understanding how climate change may influence the spatial and temporal trends of hydroclimatic variables. Distributed hydro-logical models (DHMs) that are capable of projecting water resource variability and heterogeneity are valuable simulation tools. A significant advantage of DHMs lies in their ability to take the spatial distribution of land use and soil type into consideration. This study applied a statistical downscale method to NCEP/NCAR reanalysis data and data provided by two General Circulation Models (GCMs), HadCM3 and ECHAM4, to analyze future daily average temperatures and precipitation at 67 meteorological stations in the upper reaches of Yangtze River Basin (UYRB) under two different greenhouse gas emission scenarios (A2 and B2). Meteorological predictions were then used as inputs in a hydrological model, termed EasyDHM, to project future runoff in the river basin over the 21st century. Results showed that average temperatures are projected to increase in the river basin over the next 90 years. Annual rainfall is likely to decrease, with the most reductions occurring during the summer. However, increases in rainfall are possible during the spring. Total annual runoff of the whole UYRB is projected to decline, but increased runoff in sub-regions including the Jialing River Basin is possible. Comparisons between different elevations suggest that temperature variability will be slightly larger in high elevation regions; however, the fluctuation of precipitation in high elevation regions is predicted to be much smaller than fluctuations at low elevations. Overall, the results from this study suggest that climate change could reduce runoff in the UYRB and exacerbate water supply problems in the region.
机译:最近的水资源危机使人们需要开展更多的研究,旨在了解气候变化如何影响水文气候变量的时空趋势。能够预测水资源变化和非均质性的分布式水文模型(DHM)是有价值的模拟工具。 DHM的显着优势在于其能够将土地利用和土壤类型的空间分布考虑在内。这项研究对NCEP / NCAR再分析数据和由两种通用环流模型(HCM3和ECHAM4)提供的数据应用了统计降尺度方法,以分析长江流域上游67个气象站的未来日平均温度和降水量( UYRB)在两种不同的温室气体排放情景下(A2和B2)。然后将气象预测作为水文模型EasyDHM的输入,以预测21世纪流域未来的径流。结果表明,在未来90年中,预计流域的平均温度将升高。年降雨量可能会减少,减少最多的是夏季。但是,春季可能会增加降雨。整个乌拉圭河流域的年总径流预计会下降,但包括嘉陵江流域在内的次区域径流可能会增加。不同海拔之间的比较表明,高海拔地区的温度变化会稍大。但是,据预测高海拔地区的降水波动要比低海拔地区的波动小得多。总体而言,这项研究的结果表明,气候变化可能会减少UYRB的径流并加剧该地区的供水问题。

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  • 来源
    《Quaternary International》 |2013年第5期|62-74|共13页
  • 作者单位

    School of Civil Engineering, Tianjin University, Tianjin 300072, China,State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, China;

    State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, China;

    State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, China;

    State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, China;

    School of Environmental Science and Engineering, Donghua University, Shanghai 201620, China;

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