Temporal trends of hydro‐climatic variables and runoff response to climatic variability and vegetation changes in the Yiluo River basin, China
Temporal trends of hydro‐climatic variables and runoff response to climatic variability and vegetation changes in the Yiluo River basin, China
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DOI：
10.1002/hyp.7414
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发表时间：
2009-10
影响因子：
3.2
通讯作者：
Qiang Liu;Zhifeng Yang;B. Cui;T. Sun
中科院分区：
文献类型：
--
作者：
Qiang Liu;Zhifeng Yang;B. Cui;T. Sun
伊洛河是三门峡大坝以下黄河中下游最大的支流。伊洛河流域水文过程的变化受气候变化和人类活动的影响，直接影响黄河下游的生态完整性。了解气候变化和人类活动对伊洛河流域水文过程的影响，对于维护黄河下游生态系统的完整性和社会的可持续发展尤为重要。利用Mann-Kendall法(M-K法)、Yamamoto法和线性拟合模型，研究了伊洛河流域1961-2000年年降水量、气温、参考蒸散量和径流量的时间变化趋势。利用经验模型和简单水量平衡模型讨论了气候变化和植被变化对年径流的影响，并估算了它们对年径流变化的贡献。结果表明：(1)在95%的置信度水平下，M-K方法对气温有明显的上升趋势，对降水和ET0有明显的下降趋势。(2)M-K法和Yamamoto法检测到伊洛河年径流量从1987年开始发生突变，将1961-2000年的年径流量分为基准期(1961-1986年)和变化期(1987-2000年)；(3)植被变化是伊洛河年径流量由基准期向变化期变化的主要原因，气候变化对伊洛河年径流量变化的贡献较小。版权所有©2009 John Wiley&Sons，Ltd.
The Yiluo River is the largest tributary for the middle and lower reaches of the Yellow River below Sanmenxia Dam. Changes of the hydrological processes in the Yiluo River basin, influenced by the climatic variability and human activities, can directly affect ecological integrity in the lower reach of the Yellow River. Understanding the impact of the climatic variability and human activities on the hydrological processes in the Yiluo River basin is especially important to maintain the ecosystem integrity and sustain the society development in the lower reach of the Yellow River basin. In this study, the temporal trends of annual precipitation, air temperature, reference evapotranspiration (ET0) and runoff during 1961–2000 in the Yiluo River basin were explored by the Mann‐Kendall method (M‐K method), Yamamoto method and linear fitted model. The impacts of the climatic variability and vegetation changes on the annual runoff were discussed by the empirical model and simple water balance model and their contribution to change of annual runoff have been estimated. Results indicated that (i) significant upwards trend for air temperature and significant downwards trend both for precipitation and ET0 were detected by the M‐K method at 95% confidence level. And the consistent trends were obtained by the linear fitted model; (ii) the abrupt change started from 1987 detected by the M‐K method and Yamamoto method, and so the annual runoff during 1961–2000 was divided into two periods: baseline period (1961–1986) and changeable period (1987–2000); and (iii) the vegetation changes were the main cause for change of annual runoff from baseline period to changeable period, and climatic variability contributed a little to the change of annual runoff of the Yiluo River. Copyright © 2009 John Wiley & Sons, Ltd.