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机构地区:[1]京都大学都市环境专攻 [2]武汉工业学院多孔介质力学研究所,湖北武汉430023
出 处:《武汉工业学院学报》2009年第3期64-67,共4页Journal of Wuhan Polytechnic University
摘 要:针对山形县日本国道12号线的一个监测的降水边坡的水文特性,建立了相应的多水箱模型,提出了新的模型参数识别的优化方法:变维动态搜索;并结合水箱模型,综合模拟降雨过程中边坡水位变化.结果表明:该模型能在降雨过程中,迅速得到边坡水位值,并且水位的模拟值与实测值吻合较好,说明多水箱模型用于小流域的边坡降雨入渗模拟较为准确。Tank model is built on the theory of water balance. Based on traditional tank model, a new structure of multi-tank model is proposed. Because of its high dimension, the parameter calibration process of multi-tank model is typically difficult to obtain optimal parameters using the existing optimal methods. A new random optimization approach called modified dynamically dimensioned search (MDDS) is proposed to retrieve parameter values of the new model. MDDS is based on heuristic global search and its adjustment is achieved by dynamically and randomly reducing the number of searching dimensions. Multi-tank model with 32 parameters is applied to an actual case, According to the results; good agreement between observed values and calculation results is obtained. It is demonstrated that this model is a helpful tool for water table forecasting of the slope.
关 键 词:多水箱模型 动态变维搜索 降雨入渗 参数优化 地下水位预测
分 类 号:TE357.6[石油与天然气工程—油气田开发工程]
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