Researchers have developed a new machine learning system to improve the accuracy and efficiency of sewer-river system models. This innovative approach, detailed in an article published in Environmental Science and Ecotechnology, promises to significantly reduce parameter calibration time and enhance model precision in predicting urban water pollution.