基于随机微分方程的重度污染区域河流水质检测研究  

River Water Quality Detection in Severe Contaminated Areas Based on Stochastic Differential Equations

作　　者：王浅宁 Wang Qianning(College of hydraulic&Environmental Engineering,Zhengzhou University,Zhengzhou 450001,China)

机构地区：[1]郑州大学水利与环境学院,河南郑州450001

出　　处：《环境科学与管理》2018年第2期153-156,共4页Environmental Science and Management

摘　　要：为了治理重度污染区域中的河流,需要对重度污染区域中的河流水质进行检测,当前河流水质检测方法对重度污染区域中的河流水质进行检测时,与实际结果不符,检测结果不准确。提出一种基于随机微分方程的重度污染区域河流水质检测方法。在重度污染区域的河流中设置检测点,确定水质检测的指标,采用随机微分方程计算重度污染区域中河流水质的初始输入值、水力参数、水质参数,通过统计矩对随机微分方程进行求解,完成重度污染区域中河流水质的检测。实验结果表明,所提方法可以准确的对重度污染区域中的河流水质进行检测。In order to control rivers in heavily polluted areas,it is necessary to detect the river water quality in heavily polluted areas.The current river water quality detection methods do not match the actual results in the detection of river water quality in severe polluted areas,and the detection results are not accurate.A method for river water quality detection in severe polluted area based on stochastic differential equation is proposed.Set the detection point in heavily polluted river area,determine the water quality detection index,using stochastic differential equations and severe pollution area of river water quality of the initial input values,hydraulic parameters and water quality parameters by solving the stochastic differential equations by statistical moments,detect heavy water of river pollution in the region.The experimental results show that the proposed method can accurately detect the river water quality in the heavily polluted area.

关 键 词：随机微分方程 重度污染区域 河流水质 水质检测 

分 类 号：X853[环境科学与工程—环境工程]