River Pollution Accident Reconstruction System
the river basin water quality monitoring and emergency management personnel under the emergency needs of the scientific support for decision-making. River pollution accident reconstruction system is using the downstream monitoring station data, simulation and reconstruction of the source of truth. Based on MATLAB and Visual C + + Building a river pollution accident reconstruction system, to achieve one-dimensional pollutants in rivers, two-dimensional simulation, and the results visualization; the use of Bayesian theory, the combination of river pollutant dispersion simulation models and monitoring data to estimate pollution source time, location and intensity of such important parameters, using Markov chain Monte Carlo method a posteriori inference is pollution leakage time, place and source of pollution intensity estimates of the parameters, the results are visually displayed graphic.
reconstruction of the pollution source dispersion model Bayesian inference Markov Chain Monte Carlo algorithm
Liufu Yan Hua Mao Xing Meng Bo Liu Mao
Center of Urban Public Safety Research Nankai University Tianjin, china Fire research institute of The Ministry of Public Security Tianjin, china
国际会议
成都
英文
376-380
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）