Analysis on the future runoff changes in Shiyang River basin based on genetic algorithm models

Wenxing Wang, Huichun Shi, Anlong Wang
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引用次数: 1

Abstract

According to observational data of temperature precipitation and runoff during the past 50 and more years in the upper reaches of the Shiyang River basin of the Qilian Mountains, we employ genetic algorithms and the automatic optimization method, as well as the man-machine dialogue method to build models of runoff response to temperature and precipitation changes. With these models, changes are calculated in runoff from the corresponding changes in the upper reaches of the Shiyang River basin mountain based on change trends of temperature and precipitation as well as the climate scenarios in future. The results show the runoff from the mountains is to decrease in the future due to the changes in precipitation and temperature; the extent of this decline depends mainly on the extent to which mountain precipitation declines.
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基于遗传算法模型的石羊河流域未来径流变化分析
根据祁连山石羊河流域上游近50余年的气温降水和径流观测资料,采用遗传算法和自动优化方法,以及人机对话方法,建立了径流对气温和降水变化的响应模型。利用这些模型,根据未来气温、降水变化趋势和气候情景,计算了石羊河流域上游山区相应变化的径流量变化。结果表明:受降水和温度变化的影响,未来山区径流量呈减少趋势;这种减少的程度主要取决于山地降水减少的程度。
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