The Reverse Based Identification of Source Intensity Changes in Sudden Pollution Accidents in Medium River
2015
Huang Rui | Han Long-xi
Based on the migration and transformation features of pollution sources in wide and shallow rivers, several monitoring points of water quality were set in the downstream to obtain a series of monitoring information. The changes of source intensity were, therefore, determined to present the problems in the inversion of instantaneous pollution sources during sudden pollution accidents. The research employs a differential evolution (DE) algorithm to inverse the location and number of emissions of pollutants discharged. The results show that the DE algorithm can accurately identify the sizes and locations of pollution sources and provide technical support for the identification of pollution sources. The research explored the impact of monitoring schemes on the accuracy of inversion results. It is of technical significance for manipulating and optimizing the emergency monitoring plans.
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