Water quality modeling in sewer networks: Review and future research directions

• Empirical and kinetic models dominate data-driven in SN water quality modeling. Models are mainly developed for prediction process understanding. using limited field data, while experimental data often used. exhibit overall low to moderate performance real SNs. Future work should focus on appropriate resolution, hybrid model transferability. Urban sewer networks (SNs) increasingly facing issues as a result of many challenges, such population growth, urbanization climate change. A promising way addressing these is by developing models. Many have been recent years facilitate the management Given proliferation different promise they shown, it timely assess state-of-the-art this field, identify potential challenges suggest future research directions. In review, types, modeled parameters, modeling purpose, availability, type case studies evaluation critically analyzed discussed based review 110 papers published between 2010 2019. The identified that applications empirical those issues. majority understanding or sampled data. While applied problems, corresponding accuracies or, some cases, low, especially when dealing with larger also most common associated SNs proposed several These include identification resolutions development models, need opportunity develop improvement