Comprehensive comparison of artificial neural networks and long short-term memory networks for rainfall-runoff simulation
Physics and Chemistry of the Earth, Volume 123, October 2021
This study provides new insights into the potential use of machine learning in hydrological simulations.
Elsevier, Sustainable Cities and Society, Volume 27, 1 November 2016
How does climate change affect combined sewer overflow in a system benefiting from rainwater harvesting systems?
Combined Sewer Overflow (CSO) infrastructure are conventionally designed based on historical climate data. Yet, variability in rainfall intensities and patterns caused by climate change have a significant impact on the performance of an urban drainage system. Although rainwater harvesting (RWH) is a potential solution to manage stormwater in urban areas, its benefits in mitigating the climate change impacts on combined sewer networks have not been assessed yet.