Applied Ecology and Environmental Sciences
ISSN (Print): 2328-3912 ISSN (Online): 2328-3920 Website: https://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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References:

[1]  Economic Survey of Maharashtra, “Economic Survey of Maharashtra,” Directorate of Economics and Statistics, Planning Department, Mumbai, 2012.
 
[2]  B. Venkateswarlu, R. D. Ahire, and P. S. Kapse, “Farmers Suicides in Marathwada Region of India: A Causative Analysis,” Int.J.Curr.Microbiol.App.Sci, vol. 8, no. 04, pp. 296-308, Apr. 2019.
 
[3]  W. C. Palmer, “Meterological Drought,” US Weather Bureau, Washington, DC, vol. 58, 1965.
 
[4]  W. J. Gibbs, J. V. Maher, and A. B. of Meteorology, Rainfall deciles as drought indicators. Melbourne: Bureau of Meteorology, 1967.
 
[5]  T. B. McKee, N. J. Doesken, and J. Kleist, “THE RELATIONSHIP OF DROUGHT FREQUENCY AND DURATION TO TIME SCALES,” p. 6, 1993.
 
[6]  D. McKee, T. B. N. J. and Kleist, J, “Drought Monitoring with Multiple Time Scales - Technische Informationsbibliothek (TIB),” 1995. [Online]. Available: https://www.tib.eu/en/search/id/BLCP%3ACN008169111/Drough t-Monitoring-with-Multiple-Time-Scales/. [Accessed: 19-Feb-2020].
 
[7]  P. G. Gore and K. C. S. Ray, “Droughts and aridity over districts of Gujarat,” Journal of Agrometeorology, 04-Mar-2002. [Online]. Available: https://eurekamag.com/research/003/719/003719097.php. [Accessed: 19-Feb-2020].
 
[8]  W. M. Alley, “The Palmer drought severity index: limitations and assumptions,” Journal of climate and applied meteorology, vol. 23, no. 7, pp. 1100-1109, 1984.
 
[9]  N. B. Guttman, “Comparing the Palmer Drought Index and the Standardized Precipitation Index1,” JAWRA Journal of the American Water Resources Association, vol. 34, no. 1, pp. 113-121, 1998.
 
[10]  N. B. Guttman, “Accepting the Standardized Precipitation Index: A Calculation Algorithm1,” JAWRA Journal of the American Water Resources Association, vol. 35, no. 2, pp. 311-322, 1999.
 
[11]  L. Ji and A. Peters, “Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices,” Remote Sensing of Environment, vol. 87, pp. 85-98, Sep. 2003.
 
[12]  A. U. Komuscu, “Using the SPI to Analyze Spatial and Temporal Patterns of Drought in Turkey,” vol. 11, no. 1, p. 8, 1999.
 
[13]  R. A. Seiler, M. Hayes, and L. Bressan, “Using the standardized precipitation index for flood risk monitoring,” International Journal of Climatology, vol. 22, no. 11, pp. 1365-1376, 2002.
 
[14]  F. Anctil, W. Larouche, A. A. Viau, and L.-É. Parent, “Exploration de l’indicateur standardisé de précipitation à l’aide d’une analyse statistique régionale,” Can. J. Soil. Sci., vol. 82, no. 1, pp. 115-125, Feb. 2002.
 
[15]  X. Lana, C. Serra, and A. Burgueño, “Patterns of monthly rainfall shortage and excess in terms of the standardized precipitation index for Catalonia (NE Spain),” International Journal of Climatology, vol. 21, no. 13, pp. 1669-1691, 2001.
 
[16]  B. Lloyd‐Hughes and M. A. Saunders, “Seasonal prediction of European spring precipitation from El Niño-Southern Oscillation and Local sea-surface temperatures,” International Journal of Climatology, vol. 22, no. 1, pp. 1-14, 2002.
 
[17]  K. Chaudhari and V. Dadhwal, “Assessment of impact of drought-2002 on the production of major kharif and rabi crops using standardized precipitation index,” Journal of agrometeorology, vol. 6, pp. 10-15, Jun. 2004.
 
[18]  A. K. Mishra and V. P. Singh, “Drought modeling - A review,” 2011.
 
[19]  CGWB, “Central Ground Water Board, Ministry of Water Resources, RD &GR Government of India,” 2012. [Online]. Available: http://cgwb.gov.in/District_Profile/Maharashtra_districtprofile.ht ml. [Accessed: 19-Feb-2020].
 
[20]  V. Ade, “Farmers’ Suicide in Marathwada Region of Maharashtra State: A Geo-Political View,” vol. Vol-68, pp. 10251-10263, Feb. 2020.
 
[21]  S. Mishra et al., “Suicide of Farmers in Maharashtra Background Papers,” p. 130, 2006.
 
[22]  M. A. B. Jadhav, “Rural Industrial Units of Marathwada Region: An Overview,” International Journal of Management and Economics, no. 17, p. 4, 2015.
 
[23]  D. Swami, P. Dave, and D. Parthasarathy, “Agricultural susceptibility to monsoon variability: A district level analysis of Maharashtra, India,” Sci. Total Environ., vol. 619-620, pp. 559-577, Apr. 2018.
 
[24]  OGD India, “data.gov.in,” data.gov.in, 2018. [Online]. Available: https://data.gov.in/. [Accessed: 19-Feb-2020].
 
[25]  IMD, “Customized Rainfall Information System (CRIS),” 2018. [Online]. Available: http://hydro.imd.gov.in/hydrometweb/(S(re5t4orvec1aibisobwdwt q5))/DistrictRaifall.aspx. [Accessed: 19-Feb-2020].
 
[26]  Department of Agriculture, Government of Maharashtra, and Emblem - National Portal of India, “krishi Maharashtra Goverment,” 2018. [Online]. Available: http://krishi.maharashtra.gov.in/1238/District-Level. [Accessed: 19-Feb-2020].
 
[27]  Dr. M. J. Hayes, “Drought Indices,” Feature Article from Intermountain West Climate Summary, vol. 3, no. 6, pp. 1-21, Jul. 2007.
 
[28]  G. Tsakiris and H. Vangelis, “Towards a Drought Watch System based on Spatial SPI,” Water Resources Management, vol. 18, no. 1, pp. 1-12, Feb. 2004.
 
[29]  R. Bonifacio and D. I. Grimes, “Drought and flood warning in southern Africa,” The United Kingdom. National Coordination Committee for the International Decade for Natural Disaster Reduction. 1998.
 
[30]  T. late P. P. A. Burrough, R. A. McDonnell, and C. D. Lloyd, Principles of Geographical Information Systems, Third Edition. Oxford, New York: Oxford University Press, 2015.