WATER MANAGEMENT USING BIG DATA ANALYTICS

Abstract

Water is the most precious natural resource for well sustained life. As we know that population and urbanization
grow at very high rate which in result cause serious disturbances in whole value-chain in water ecosystem. Due to climate
change and human mishandling the resources, recently NITI AAYOG presents report which clearly indicates that by 2030
India will face a worst water crisis especially our demand of potable water will outstrip supply. So a proper and robust
system is in the need of the hour. After 3 decades of various policy and programs we have not achieved the sustained way and
also our policymakers also failed to consolidate all stakeholder and data related to every component of policy. As mentioned
one of the reasons for failure in implementation is that there is no proper consolidation and analysis of the data of various
programs, river, streams, aquifers etc. So we proposed a robust system which runs on the principles of Big Data, and we
implemented these data sets with the help of various new analytical algorithms such as Random forest techniques and some
machine learning techniques. Not only we have gathered the information from historical and governmental sources, we
provide visualization of analysis. Ergo our outcome not only show various trends in water quality but it also helps in
understanding the parameters and their needs, which in turn helps to find root cause of failure and helps in future planning.