Storm network reliability modelling under the influence of pollutant load and groundwater quantity estimation for urban water management planning under climatic variability

Abstract

Urbanization and climate change have combined effects on land use newlineand water resources. Urbanization increases population density, which leads to newlineincrease in the built-up areas, increasing imperviousness. The rise in newlineimperviousness is the leading cause of floods during high/heavy precipitation. newlineUrban flood has a severe impact on the Socioeconomic and environment. The newlinedecrease in infiltration leads to groundwater depletion. Pollution is another major newlineissue in Metropolitan Cities that reduces surface water and groundwater quality. newlineIt will also decrease the performance of both the natural and storm drain newlinenetworks. Climate change and urbanization tend to change the hydrological newlineparameters in urban regions. Extreme Precipitation events are likely to increase newlinein all the regions. In addition, the coastal cities receive precipitation from the newlinecyclones, which increases the risk of flooding in the urban coastal cities. Hence, newlineurban coastal cities are vulnerable to flooding during monsoon and lack newlinegroundwater resources during summer. Moreover, it is also necessary to manage newlinegroundwater resources to reduce the possibility of seawater intrusion. newlineUrbanization is unavoidable in a developing country to raise its newlineeconomy and create opportunities for people to improve their social and newlineeconomic standards. However, urbanization has an impact on water resources newlineand the environment. Studies related to urbanization and climate changes newlineshould be carried out to overcome these problems. Chennai City was chosen newlinein the current study, a metropolitan area often affected by floods and drought. newlineZone 9, 10 and 11, situated between the Adyar and Cooum rivers, and newlinecorresponding Wards 116, 132 and 152 are chosen for the micro-level studies. newlineIn the present study, rainfall analysis was carried out for historical and newlineprojected data. Rainfall deviations are analyzed using the anomaly index to newlinefind the dry and wet years. newline