期刊导航

论文摘要

基于逆向概率密度函数的污染云团空间重构

Reconstruct of Pollution Cloudy Based on Backward Density Probability Function Diffusion Equation

作者:程伟平(浙江大学 建筑工程学院);廖锡健(浙江大学 建筑工程学院);陈一帆(浙江大学 建筑工程学院);周长青(中国城市规划设计研究院)

Author:Cheng Weiping(College of Civil Eng. and Architecture,Zhejiang Univ.);Liao Xijian(College of Civil Eng. and Architecture,Zhejiang Univ.);Chen Yifan(College of Civil Eng. and Architecture,Zhejiang Univ.);Zhou Changqing(China Academy of Urban Planning and Design)

收稿日期:2011-10-10          年卷(期)页码:2012,44(4):32-38

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:逆向概率密度函数;污染云团;空间重构

Key words:backward probability density function;pollution cloud;spatial reconstruction

基金项目:国家自然科学基金资助项目(50879075);水体污染控制与治理国家科技重大专项(2008ZX07421-006;2009ZX07424-004)

中文摘要

利用逆向概率密度函数与浓度的关系,对逆向概率密度函数与初始浓度场进行卷积即可得到观测点的浓度值。建立了通过逆向概率密度微分方程求解观测点浓度值的数值模型,并通过算例验证了该方法的正确性。在此基础上,建立了基于逆向概率密度函数的污染云团空间重构模型,并采用扫描法进行最优解的搜索。该方法效率高,且得到的解是空间内的全局最优解。通过2维空间重构算例的仿真,对比研究了不同监测点数量时污染云团空间重构性能,发现两个及以上测点情况下,计算结果可靠性高,抗噪能力强。

英文摘要

The method for the concentration calculation of observation point was developed and verified. A pollution cloud’s spatial reconstruction model based on the backward probability density function was proposed, and the direct scanning method was used to search the optimal solution. The solution obtained by this method was the global optimal solution in the discrete solution space. The discussion of two cases showed that the model has excellent reliability and accuracy, when the quantity of observation points is two or more.

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