文件名称：大气水文耦合模型
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更新时间：2018-08-31 02:13:57
大气 水文 模型
水文模型 全英的 Abstract: Much attention has recently been focused on the effects that climate variability and human activities have had on runoff. In this study, these effects are quantified using three methods, namely, multi-regression, hydrologic sensitivity analysis, and hydrologic model simulation. A conceptual framework is defined to separate the effects. As an example, the change in annual runoff from the semiarid Laohahe basin (18 112 km2) in northern China was investigated. Non-parametric Mann-Kendall test, Pettitt test, and precipitation-runoff double cumulative curve method were adopted to identify the trends and change-points in the annual runoff from 1964 to 2008 by first dividing the long-term runoff series into a natural period (1964–1979) and a human-induced period (1980–2008). Then the three quantifying methods were calibrated and calculated, and they provided consistent estimates of the percentage change in mean annual runoff for the human-induced period. In 1980–2008, human activities were the main factors that reduced runoff with contributions of 89–93%, while the reduction percentages due to changes in precipitation and potential evapotranspiration only ranged from 7 to 11%. For the various effects at different durations, human activities were the main reasons runoff decreased during the two drier periods of 1980–1989 and 2000–2008. Increased runoff during the wetter period of 1990–1999 is mainly attributed to climate variability. This study quantitatively separates the effects of climate variability and human activities on runoff, which can serve as a reference for regional water resources assessment and management. Copyright 2011 John Wiley & Sons, Ltd.