摘要: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 monitoringinformation. The changes of source intensity were, therefore, determined to present the problems inthe inversion of instantaneous pollution sources during sudden pollution accidents. The researchemploys a differential evolution (DE) algorithm to inverse the location and number of emissions ofpollutants discharged. The results show that the DE algorithm can accurately identify the sizes andlocations 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 oftechnical significance for manipulating and optimizing the emergency monitoring plans..