Stream flow prediction using TIGGE ensemble precipitation forecast data for Sabarmati river basin
Flooding is the most prevalent natural disaster globally. Increasing flood frequency affects
developing nations as these countries lack strong forecasting systems. The most flood-prone …
developing nations as these countries lack strong forecasting systems. The most flood-prone …
Improving the reservoir inflow prediction using TIGGE ensemble data and hydrological model for Dharoi Dam, India
Flooding occurs frequently compared to other natural disasters. Less developed countries
are severely affected by floods. This research provides an integrated hydrometeorological …
are severely affected by floods. This research provides an integrated hydrometeorological …
Using the general regression neural network method to calibrate the parameters of a sub-catchment
QC Cai, TH Hsu, JY Lin - Water, 2021 - mdpi.com
Computer software is an effective tool for simulating urban rainfall–runoff. In hydrological
analyses, the storm water management model (SWMM) is widely used throughout the world …
analyses, the storm water management model (SWMM) is widely used throughout the world …
Superiority of artificial neural networks over conventional hydrological models in simulating urban catchment runoff
The synergistic impacts of climate change and urbanisation have amplified the recurrence
and austerity of intense rainfall events, exacerbating persistent flooding risk in urban …
and austerity of intense rainfall events, exacerbating persistent flooding risk in urban …