Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

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Meteorological Drought Index Computation of Jalna Tehsil (Maharashtra) Using Standardized Precipitation Index

Authors
Satish V. Kanthale1, *, Vaishali. D. Bhagile2
1Department of Computer Science, VSS College, Jalna, MS, India
2Department of Computer Science, IT & Animation, Deogiri College, Aurangabad, MS, India
*Corresponding author. Email: satishkanthale@gmail.com
Corresponding Author
Satish V. Kanthale
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_42How to use a DOI?
Keywords
Drought; SPI; RAI
Abstract

The most complicated but least recognised of all natural disasters is drought. It is comprehensively characterized as “sever water deficiency”. This study stresses upon the use of R Studio software for analysis of precipitation data by using SPI in the field of Meteorological Drought assessment. In this study an effort has been made to derive meteorological based Standardized Precipitation Index (SPI). The precipitation index where processed and analyzed with different graphical representation. The outcomes acquired can be useful for dry spell the executives designs and will help in uncovering genuine dry season circumstance nearby. The precipitation data of Jalna tehsil (Maharashtra) of last 21 years is being observed for assessment and analysis. Geospatial technology enables the monitoring, forecasting, and evaluation of such natural disasters’ consequences at all scales. The frequency and recurrence of droughts in a certain area may now be quickly and thoroughly monitored and mapped thanks to recent improvements in remote sensing and GIS technology. With the aid of satellite photos, some drought indicators have been identified and evaluated.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
978-94-6463-136-4
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_42How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Satish V. Kanthale
AU  - Vaishali. D. Bhagile
PY  - 2023
DA  - 2023/05/01
TI  - Meteorological Drought Index Computation of Jalna Tehsil (Maharashtra) Using Standardized Precipitation Index
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 485
EP  - 498
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_42
DO  - 10.2991/978-94-6463-136-4_42
ID  - Kanthale2023
ER  -