Decision Support System for Water Conservation and Availability Prediction |
Author(s): |
| Ankita Kharatmal , Modern Education Society?s College of Engineering, Pune, India; Mr. Sumit Hirve, Modern Education Society?s College of Engineering, Pune, India; Meenakshi Lokade, Modern Education Society?s College of Engineering, Pune, India; Rupali Kadam, Modern Education Society?s College of Engineering, Pune, India; Komal Sherkhane, Modern Education Society?s College of Engineering, Pune, India |
Keywords: |
| Data Mining, Data Visualization, Cloud Computing, Secure, Data Analysis |
Abstract |
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Water scarcity is one of the serious problems that Maharashtra is facing today. Water scarcity leads to doughtiness when it is not properly utilized. This provides a strong demand in building a real-time system to support water resources analysis, drought modeling and prediction. Existing models and approaches lack of desirable accuracy in predicting and analyzing Maharashtra Drought. This project proposes a big data based approach to support Maharashtra Drought analysis and prediction based on diverse data sets, including climate sensor and satellite data, weather data, and drought condition and water usage reports. It uses a proposed Maharashtra Drought Index and presents big data analytics results based on existing big data models and algorithms, as well as proposed graphic models. |
Other Details |
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Paper ID: IJSRDV5I120149 Published in: Volume : 5, Issue : 12 Publication Date: 01/03/2018 Page(s): 297-299 |
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