Sujith Kumar, S.; Panda, U.S.; Pradhan, U.K; Mishra, P., and Ramana Murthy, M.V., 2020. Web-based decision support system for coastal water quality. In: Sheela Nair, L.; Prakash, T.N.; Padmalal, D., and Kumar Seelam, J. (eds.), Oceanic and Coastal Processes of the Indian Seas. Journal of Coastal Research, Special Issue No. 89, pp. 139-144. Coconut Creek (Florida), ISSN 0749-0208.

Operational systems on real-time monitoring of coastal water quality can play a key role to counter and reduce the pollution causing hazardous events in the coastal region. An automated alert system is required to provide relevant information to the coastal authorities, water quality managers and other coastal stakeholders on a real-time basis to avoid any lead time or potential human errors. This paper presents an architecture for coastal water quality prediction and alert system by integrating different platforms and services to achieve scalability, provisioning of resources in real time, simplified deployment and management of resources and applications. The forecast system was developed through data assimilation from coupled hydrodynamic water quality models and field observations and archived in an integrated Database Management System (DBMS). A web-service is programmed to fetch the data from server on demand in order to disseminate the information to the public. Web applications use an architecture that breaks applications into discrete parts, using multiple programming languages and deploying the applications on several layers of technology. The other features of the website include Query builder as per user's specification, Fetch and display latest time series data on water quality parameters based on locations and graphical representation.

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