Modeling urban stormwater management in the town of Dodola based on landuse and climate change using SWMM 5.1

Modeling the impact of future rainfall changes on the effectiveness of urban stormwater control measures

“…As noted by prior researchers, relatively few modeling studies are available that focus on urban stormwater management in the context of climate change 67 , and since climate impacts vary substantially by location, identifying variation across cities is imperative 42 . The work available corroborates this study’s findings that in regions likely to experience precipitation regime shifts, runoff increases will be acute in urbanized areas due to both precipitation intensity changes and continued urban expansion 68 , 69 . For example, Zahmatkesh et al 53 used statistical downscaling of the CMIP5 outputs and a change factor approach to drive a continuous simulation model that showed an average of 51% increase in total annual runoff across New York City for the future period 2030–2059.…”

“…Impacts may include impaired aquatic ecosystems, property damage, and human health risks, which will depend on several locally defined factors in addition to runoff increases. In many cities, impacts will be further exacerbated by the continued expansion of impervious cover 68 , 73 , 74 and sea level rise in coastal communities. With stormwater infrastructure reaching the end of its useful lifespan in many parts of the United States and the potential for new funding sources to assist cities with upgrades 23 , 75 , many cities may soon be able to increase investments to minimize impacts.…”

Evaluation of best management practices to reduce sediment yield in the upper Gilo watershed, Baro akobo basin, Ethiopia using SWAT

“…However, continuous flow and sediment data for 1987 to 1989 and 2015 to 2020 are only available for the rainy season and thus not considered for simulation in the present study. A large number of model parameters were estimated from various sources, influencing simulation results with varying weights [ 49 ]. As a result, SWAT-CUP was used before calibration to identify the sensitive parameters using a local sensitive approach (one parameter at a time).…”