International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 8

Research Paper | Environmental Engineering | India | Volume 10 Issue 7, July 2021


Meteorological Drought Assessment in India using Machine Learning Techniques

Pavan Mohan .N


Abstract: Global climate change causes a decrease in precipitation in India, as in many other places around the globe. As a result, droughts have occurred over a large area and in a more drastic way than in the past. The present study focuses upon assessment of meteorological drought conditions with Machine learning algorithms, such as Support Vector Machine (SVM) and Decision Tree (DT) based upon the measurement of precipitation over 36 meteorological -subdivisions in India. Meteorological drought occurs when precipitation is less than average over a prolonged time scale. It usually precedes various kinds of drought and adversely affects the environmental, economic and social conditions. Among various methods for assessment of meteorological drought by using drought indices, Machine learning algorithms can be of vital use in evaluating systems. Operating on multi-sensory data sets like SVM and DT, we will have far-reaching impacts to overcome socio- economic vulnerability in India. However, this preliminary study is focused on precipitation impacting meteorological drought. Building on the Machine learning algorithms, it is now possible to timely conduct real-time evaluation by SVM and DT applications. This approach will help us to have a refined view of drought transformations. Timely comprehensive analysis, severity and trends of meteorological drought category. Other drought interactions that are still relatively unknown, particularly in India, are to be more focused.


Keywords: Decision Tree, Meteorological Drought, Support Vector Machine


Edition: Volume 10 Issue 7, July 2021,


Pages: 592 - 598


How to Cite this Article?

Pavan Mohan .N, "Meteorological Drought Assessment in India using Machine Learning Techniques", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR21709204919, Volume 10 Issue 7, July 2021, 592 - 598

How to Share this Article?

Enter Your Email Address


Similar Articles with Keyword 'Decision'

Downloads: 126

M.Tech / M.E / PhD Thesis, Environmental Engineering, India, Volume 7 Issue 9, September 2018

Pages: 985 - 989

Optimization Model for Integrated Solid Waste Management in Gurugram

Aakash Patel, Bharat Jhamnani

Share this Article

Downloads: 143

Research Paper, Environmental Engineering, India, Volume 6 Issue 6, June 2017

Pages: 259 - 264

Application of Analytical Hierarchy Process in Evaluation of Best Sewage Treatment Plant

Kshitij Upadhyay

Share this Article

Similar Articles with Keyword 'Tree'

Downloads: 78

Research Paper, Environmental Engineering, Brazil, Volume 9 Issue 7, July 2020

Pages: 819 - 830

Analysis of the Productive Capacity of an Aquaponic System with Macrobrachium Amazonicum (Heller, 1862) and Lettuce Culture (Lactuta Sativa Var. Crispa)

Carlos Otavio Rodrigues dos Santos, Antonio Pereira Junior

Share this Article

Downloads: 106

Research Paper, Environmental Engineering, China, Volume 7 Issue 2, February 2018

Pages: 1548 - 1551

Analysis on the Effect of Different Driving Conditions on Dispersion of Vehicle Exhaust Based on Fluent

LI Konglong, LIU Hongbin

Share this Article

Similar Articles with Keyword 'Support'

Downloads: 118

Research Paper, Environmental Engineering, India, Volume 8 Issue 9, September 2019

Pages: 827 - 830

Consequence of Hydraulic Retention Time on Fixed Film Reactor using Sugar Mill Wastewater

Sivakumar.M.S, Asha.B

Share this Article

Downloads: 123

Research Paper, Environmental Engineering, India, Volume 6 Issue 12, December 2017

Pages: 1000 - 1002

Evaluation of Land Use Planning, Transport Scenario with Reference to Express Highways in and Around Hyderabad City, Telangana

P. Chandra Shekhar, Dr. Talla Manorama Kumari, V. Venkateswara Reddy

Share this Article
Top