Efficient Water Resource Visualization using Big Data Analytics |
Author(s): |
| Bharatwaj Krishnan , Padmabhooshan Vasantdada Patil Institute of Technology, Pune, India; Akshay Atole, Padmabhooshan Vasantdada Patil Institute of Technology, Pune, India; Ajinkya Nimhan, Padmabhooshan Vasantdada Patil Institute of Technology, Pune, India; Shravan Vikhe, Padmabhooshan Vasantdada Patil Institute of Technology, Pune, India |
Keywords: |
| Data Mining, Knowledge Engineering, Cloud Computing, Data Analytics, Visualization |
Abstract |
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Water scarcity is a serious problem that the state of Maharashtra is facing today. Scarcity of water leads to long term drought when addressed incorrectly. Thus a strong demand for building a real-time system to support water resources analysis, modelling and prediction of drought arises. Models and approaches currently existing lack the desirable accuracy and speed needed in predicting and analysing drought. Here, this paper proposes a big data analytics based approach to support drought analysis and prediction based on widely diverse data sets including climate sensors, satellite and weather data, drought conditions and water usage reports. It also reports an implemented system supporting big data analytics for drought. It also uses an easy to understand Drought Index and presents data based on existing models and approaches, as well as proposed models. |
Other Details |
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Paper ID: IJSRDV6I20359 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 407-408 |
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