Our project enhanced the application of GIS, remote sensing technique and developed the proper flood models coupling with river water quality model for urban flood management and water quality analysis in Asian coastal countries. We used the IoT tools to set up real time monitoring for developing early warning system and improve knowledge operationalizing such systems that can predict urban floods and reduce vulnerability using climate and non-climate information. In addition, we applied and downscaled the latest CMIP6 Socio-economic climate change scenarios (SSPs) in three study cities, and use the future change information in rainfall intensity to identify the climate change induced variation of the urban water cycle. Then, we assessed the flood risk, sediment and nutrient concentrations change under the latest CMIP6 future climate scenario to develop and implement Flood Risk Mitigation and Water Quality Improvement Plans. As outcomes, we identified on-site adaptation strategies that restore water cycle and reduce the range of variability in climate change induced flood and water scarcity in three coastal cities, respectively. Finally, we produced capacity development materials targeting local government officials and communities for implementing the research methodology.