...
首页> 外文期刊>Theoretical and applied climatology >Effects of climate change on annual streamflow using climate elasticity in Poyang Lake Basin, China
【24h】

Effects of climate change on annual streamflow using climate elasticity in Poyang Lake Basin, China

机译:基于气候弹性的Po阳湖流域气候变化对年流量的影响

获取原文
获取原文并翻译 | 示例
           

摘要

Hydrological processes depend directly on climate conditions [e.g., precipitation, potential evapotranspiration (PE)] based on the water balance. This paper examines streamflow datasets at four hydrological stations and meteorological observations at 79 weather stations to reveal the streamflow changes and underlying drivers in four typical watersheds (Meigang, Saitang, Gaosha, and Xiashan) within Poyang Lake Basin from 1961 to 2000. Most of the less than 90th percentile of daily streamflow in each watershed increases significantly at different rates. As an important indicator of the seasonal changes in the streamflow, CT (the timing of the mass center of the streamflow) in each watershed shows a negligible change. The annual streamflow in each watershed increases at different rates, with a statistically significant trend (at the 5 % level) of 9.87 and 7.72 mm year~(-1), respectively, in Meigang and Gaosha watersheds. Given the existence of interactions between precipitation and PE, the original climate elasticity of streamflow can not reflect the relationship of streamflow with precipitation and PE effectively. We modify this method and find the modified climate elasticity to be more accurate and reasonable using the correlation analysis. The analyses from the modified climate elasticity in the four watersheds show that a 10 % increase (decrease) in precipitation will increase (decrease) the annual streamflow by 14.1-16.3 %, while a 10 % increase (decrease) in PE will decrease (increase) the annual streamflow by -10.2 to -2.1 %. In addition, the modified climate elasticity is applied to estimate the contribution of annual precipitation and PE to the increasing annual streamflow in each watershed over the past 40 years. Our result suggests that the percentage attribution of the increasing precipitation is more than 59 % and the decreasing in PE is less than 41 %, indicating that the increasing precipitation is the major driving factor for the annual streamflow increase for each watershed.
机译:水文过程直接取决于基于水平衡的气候条件[例如,降水,潜在蒸散量(PE)]。本文研究了1961年至2000年Po阳湖流域内四个典型流域(梅岗,赛塘,高沙和下山)四个水文站的水流数据集和79个气象站的气象观测结果。在每个流域中,每天流量的不足百分之九十以不同的速率显着增加。作为流向季节性变化的重要指标,每个流域中的CT(流向质心的时间)变化很小。在梅岗流域和高沙流域,每个流域的年流量以不同的速率增加,在9.5%和7.72 mm年〜(-1)年有统计学上的显着趋势(在5%水平)。考虑到降水与PE之间存在相互作用,因此,原始流量的气候弹性不能有效地反映河流与降水和PE的关系。我们对此方法进行了修改,并使用相关分析发现修改后的气候弹性更加准确合理。通过对四个流域的气候弹性修正的分析表明,降水量增加(减少)10%将使年流量增加(减少)14.1-16.3%,而PE减少量(增加)10%(减少) )年流量为-10.2至-2.1%。此外,修改后的气候弹性可用于估算过去40年中每个流域的年降水量和PE对年流量增加的贡献。我们的结果表明,降水增加的百分比属性大于59%,PE的减少小于41%,表明降水增加是每个流域年流量增加的主要驱动因素。

著录项

  • 来源
    《Theoretical and applied climatology》 |2013年第2期|169-183|共15页
  • 作者单位

    Applied Hydrometeorological Research Institute, Nanjing University of Information Science and Technology (NUIST),210044 Nanjing, China Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology (NUIST),Ningliu Road 219,210044 Nanjing, China;

    Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology (NUIST),Ningliu Road 219,210044 Nanjing, China;

    International Institute for Earth System Science,Nanjing University,210093 Nanjing, China;

    Department of Geography, Northern Illinois University,DeKalb60115IL, USA;

    College of Hydrology and Water Resources, Hohai University,210098 Nanjing, China;

    Wuhan Regional Climate Center,430074 Wuhan, China;

    Key Laboratory of Poyang Lake Environment and Resource Utilization Ministry of Education, Nanchang University,330029 Nanchang, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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