Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India

Yıl 2016, , 24 - 37, 02.08.2016

Sumanta Das Malini Roy Choudhury Sujay Gandhi Viral Joshi

https://doi.org/10.30897/ijegeo.306468

Cited By: 8

Öz

Drought is a natural phenomenon which differs from other natural hazards by its slow accumulating process
and its indefinite commencement and termination. The present study addresses water deficiency and drought
occurrence over Kutch district, Gujarat, because nearly 45% of the whole Kutch district is severely suffering by
deficiency of water. Earth observation data (LANDSAT ETM+) and Standardized Precipitation Index were
used to analyze drought severity. Daily rainfall data over the study area were obtained from Indian
Meteorological Department (IMD) for the period of study (1990-2014) and geo-referenced for further analyses.
Using Remote Sensing and GIS techniques, rainfall variability map over the period of study has been prepared
to show rainfall distribution and land use and land cover map is prepared to show the area under different land
use classes and impacts of drought over land uses. Standardized Precipitation Index (SPI) was generated for
each block wise and scenario of drought development has been analyzed using decadal data set for the study
period (1990-2014). The present study suggests method and techniques for continuous drought monitoring by
linking temporal earth observation and rainfall data. The methodology will be very useful for the development
of a regional drought monitoring system.

Anahtar Kelimeler

Drought, SPI, drought severity, Rainfall variability

Kaynakça

• Das S, Choudhury MR, Nanda S. 2013. Geospatial Assessment of Agricultural Drought (A Case Study Of Bankura District, West Bengal), International Journal of Agricultural Science and Research (IJASR) ISSN 2250-0057 Vol. 3, Issue 1, Jun 2013, 1-28.
• McKee T. B., Doesken N. J., Kleist J. 1995. Drought monitoring with multiple time scales. Reprints, 9th Conference on Applied Climatology, January 15-20, Dallas, Texas, 233-236.
• McKee T. B., Doesken N. J., Kleist J. 1993. The relationship of Drought frequency and duration to time scales. Preprints, 8th Conference on Applied Climatology, January 17-22, Anaheim California, 179-184.
• Mishra A. K., Desai V. R. 2005. Spatial and temporal drought analysis in the Kansabati river basin, India. International River Basin Management, 3(1), 31-41.
• Nalbantis I., Tsakiris G. 2009. Assessment of hydrological drought revisited. Water Resources Management, 23, 881–897.
• Palmer W. C. 1965. Meteorological Drought. U. S. Weather Bureau, Washington DC, Research Paper No. 45.
• Palmer W. C. 1968. Keeping track of crop moisture conditions, nationwide: the new Crop Moisture Index. Weatherwise, 21, 156-161.
• Rawat K.S., Tripathi V.K., George Paul., Mishra A.K. 2014. The Standard Precipitation Index Analysis for Drought Assessment in Indian Agro-Climate Regions, using of GIS and Remote Sensing Data, NCWES - 2014, 223-232.
• Smakhtin V. U., Hughes D. A. 2004. Review, Automated Estimation and Analyses of Drought Indices in South Asia. International Water Management Institute, Colombo, Sri Lanka, Working Paper No. 83.
• Tsakiris G., Pangalou D. 2007. Vangelis H., Regional draught assessment based on the Reconnaissance Draught Index (RDI). Water Resources Management, 21, 821-833.
• Wilhite D., Glantz M. R. 1987. Understanding the drought phenomenon - The role of definitions, in Wilhite, David, Easterling, William, and Wood, David, eds., Planning for drought: Boulder, Colo., Westview Press, 11-27.
• Wilhite D. A., Hayes M. J., Svoboda M. D. 2000. Drought monitoring and assessment: status and trends in the United States. In: Vogt J. V., Somma F. (eds) Drought and drought mitigation in Europe. Kluwer Academic, Dordrecht, 149–160.