Applied Ecology and Environmental Sciences
ISSN (Print): 2328-3912 ISSN (Online): 2328-3920 Website: http://www.sciepub.com/journal/aees Editor-in-chief: Alejandro González Medina
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Applied Ecology and Environmental Sciences. 2020, 8(5), 294-302
DOI: 10.12691/aees-8-5-17
Open AccessArticle

Spatio-Temporal Drought Assessment of Marathwada Region

Huchhe M. R1, , Mukkannawar U. S2 and Bandela N. N1

1Department of Environmental Science, Dr. BabasahebAmbedkar University, Aurangabad, Maharashtra, India

2Indian Institute of Tropical Meteorology (IITM), (MoES, GoI), Pune, Maharashtra, India

Pub. Date: July 24, 2020

Cite this paper:
Huchhe M. R, Mukkannawar U. S and Bandela N. N. Spatio-Temporal Drought Assessment of Marathwada Region. Applied Ecology and Environmental Sciences. 2020; 8(5):294-302. doi: 10.12691/aees-8-5-17

Abstract

Drought is a prolonged shortage in the water supply and considered to be the most complex but least understood of all-natural hazards. The current study utilizes 47 years of data for drought assessment to understand drought patterns and severity. All drought-prone districts in the study area experience famine that is still slow-onset, creeping, and a recurrent occurrence. The spatio-temporal behavior of meteorological drought was investigated by calculating the Standard Precipitation Index (SPI) and spatial distribution of droughts by ArcGIS software. The SPI index is useful for the determination of drought conditions at diverse time scales and monitoring different types of drought. This index captured the collected deficit (SPI< 0) or extra (SPI> 0) of precipitation over a specified period. In the current investigation, 1972, 2000, and 2014 chosen as representative drought years based on negative SPI trends. The spatial pattern shows the area of agricultural drought increased during the kharif crop season (June - Oct). Based on the acquired result it is reveals that the SPI is an indicative parameter for assessment of agricultural drought in the Marathwada region. It also provides useful information to create a decision support system for agricultural drought or arid condition avoidance, mitigation, along with irrigation management improvement.

Keywords:
agriculture drought assessment precipitation SPI spatial-temporal analysis and meteorological drought

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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