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Drought Prediction and Management using Big Data Analytics
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 162 - Number 4 |
| Year of Publication: 2017 |
| Authors: Himani Shah, Vinita Rane, Jayesh Nainani, Benita Jeyakumar, Nupur Giri |
10.5120/ijca2017913276
|
Himani Shah, Vinita Rane, Jayesh Nainani, Benita Jeyakumar, Nupur Giri . Drought Prediction and Management using Big Data Analytics. International Journal of Computer Applications. 162, 4 ( Mar 2017), 27-30. DOI=10.5120/ijca2017913276
Abstract
The prediction of occurrence of droughts has been a challenging task. However, it is necessary that prediction is done with at most accuracy to prevent loss of life and property. Based on the previous year’s rainfall, temperature and evapotranspiration data, DDI will be calculated which will be based on SPI, SPEI, PDSI, PHDI and ZIND indices. This proposed index will be trained using random forest algorithm and the output will help to predict the severity of drought for the upcoming years. Also, round robin algorithm with dynamic quantum size is used for resource allocation for the victims of drought affected areas.
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