...
首页> 外文期刊>Proceedings of the International Association of Hydrological Sciences >Response of streamflow to climate change in a sub-basin of the source region of the Yellow River based on a tank model
【24h】

Response of streamflow to climate change in a sub-basin of the source region of the Yellow River based on a tank model

机译:基于储罐模型的黄河源区子流径流对气候变化的响应

获取原文

摘要

Though extensive researches were conducted in the source region of the Yellow River (SRYR) to analyse climate change influence on streamflow, however, few researches concentrate on streamflow of the sub-basin above the Huangheyan station in the SRYR (HSRYR) where a water retaining dam was built in the outlet in 1999. To improve the reservoir regulation strategies, this study analysed streamflow change of the HSRYR in a mesoscale. A tank model (TM) was proposed and calibrated with monthly observation streamflow from 1991 to 1998. In the validation period, though there is a simulation deviation during the water storage and power generation period, simulated streamflow agrees favourably with observation data from 2008 to 2013. The model was further validated by two inside lakes area obtained from Landsat?5, 7, 8 datasets from 2000 to 2014, and significant correlations were found between the simulated lake outlet runoff and respective lake area. Then 21 Global Climate Models (GCM) ensembled data of three emission scenarios (SRA2, SRA1B and SRB1) were downscaled and used as input to the TM to simulate the runoff change of three benchmark periods 2011–2030 (2020s), 2046–2065 (2050s), 2080–2099 (2090s), respectively. Though temperature increase dramatically, these projected results similarly indicated that streamflow shows an increase trend in the long term. Runoff increase is mainly caused by increasing precipitation and decreasing evaporation. Water resources distribution is projected to change from summer-autumn dominant to autumn winter dominant. Annual lowest runoff will occur in May caused by earlier snow melting and increasing evaporation in March. According to the obtained results, winter runoff should be artificially stored by reservoir regulation in the future to prevent zero-flow occurrent in May. This research is helpful for water resources management and provides a better understand of streamflow change caused by climate change in the future.
机译:尽管在黄河源区进行了广泛的研究以分析气候变化对水流的影响,但是,很少有研究集中在黄河岩站(HSRYR)上方的子流域,在该流域保水大坝于1999年在出口处建成。为改善水库调节策略,本研究分析了中尺度HSRYR的水流变化。提出了一个储罐模型(TM)并用1991年至1998年的每月观测流量进行校准。在验证期内,尽管蓄水和发电期间存在模拟偏差,但模拟流量与2008年至2013年的观测数据吻合良好。该模型进一步得到了2000年至2014年从Landsat?5、7、8数据集获得的两个内部湖泊面积的验证,并且在模拟的湖泊出口径流量与相应湖泊面积之间发现了显着的相关性。然后缩小了三种排放情景(SRA2,SRA1B和SRB1)的21个全球气候模型(GCM)组合数据,并将其用作TM的输入,以模拟2011-2030年(2020s),2046-2065年三个基准期的径流变化( 2050s),2080-2099(2090s)。尽管温度急剧上升,但这些预测结果相似地表明,长期来看,流量显示出上升趋势。径流增加主要是由于降水增加和蒸发减少所致。水资源分配预计将从夏秋为主向秋冬为主。每年最低的径流将发生在5月,这是由于3月积雪融化和蒸发增加。根据获得的结果,将来应通过水库调度人工存储冬季径流,以防止5月发生零流量。这项研究对水资源管理很有帮助,并且可以更好地了解未来气候变化引起的流量变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号