Forecasting, Analytics, Modelling and Simulation for Flood Inundation Mapping: Big Data Analytics for Water-ClimateAgriculture-Energy Security

Data Acquisition, Data Sharing, monitoring, and decision making are vital for dams and water resources management. By harnessing the power of digital tools and technologies, stakeholders can improve resilience, efficiency, and sustainability across water, climate, agriculture, and security domains, ultimately contributing to more effective and equitable management of natural resources and societal well-being. In order to address the challenges of water-climate-agricultural-energy security, and inefficient use of resources while promoting long-term environmental, social, and economic sustainability. We at FAMS, brings together data and models in water resources planning and management, dam safety, hydrology, flood mitigation strategies, climate risk assessment and impacts, climate adaptation, land development. Through modelling, simulation, analytics, forecasting, and visualisation related to water-climate-food-energy security sector and related fields. In present study, we demonstrate process optimization using technological applications of data science, analysis, deep learning, machine learning, simulation, neural network, GIS and remote sensing and artificial intelligence for various applications of extended hydrological prediction, flood forecasting, drought monitoring, water yield intelligence, integrated reservoirs management, and energy risk mitigation.