Statistical Modeling of Extreme Drought Occurrence in Bellary District of Eastern Karnataka
Proceedings of the National Academy of Sciences, India Section B: Biological Sciences - Tập 85 - Trang 423-430 - 2014
Tóm tắt
Drought is a natural hazard which may temporarily affect any region in the world by several means. In the present study frequency analysis of meteorological drought in the Bellary region of Karnataka has been investigated for 52 years (1961–2012) using the Standardized Precipitation Index (SPI) at short (SPI-1 and SPI-3), medium (SPI-6) and long (SPI-12) time scales. This method aims to provide a concise overall picture of drought, regardless of the actual probability distribution of the observed cumulative amount of rainfall for a given time scale. By applying the SPI methodology, results indicated that drought randomly affected a region and several drought events occurred during the period analyzed. The generalized extreme value (GEV) distribution was fitted to data from the location to describe the extremes of rainfall and to predict its future behavior. Minimum assured drought at 50 % probability level was observed to be a better representative of long-term average of drought (minimum SPI) in the region as depicted by the GEV distribution. The return period analysis indicate that the region experiences extreme drought (SPI < −2) every ten or less years for all time scales, whereas moderate to severe drought occurs every alternate year. There is thus a necessity to prepare contingency plans for the region and focus on the cultivation of those crops with a capacity of withstanding droughts of moderate intensity which will be used as a guide for water resource management in the region during droughts.
Tài liệu tham khảo
Moneo M, Iglesias A (2007) A framework for irrigation management during drought: application in two case studies in the Tagus basin, Spain. In: Lamaddalena N, Bogliotti C,Todorovic M, Scardigno A (eds) Water saving in Mediterranean agriculture and future research needs, Vol. 2. CIHEAM, Bari, pp 305–320
Wilhite DA, Glantz MH (1985) Understanding: the drought phenomenon: the role of definitions. Water Int 10(3):111–120. doi:10.1080/02508068508686328
Palmer W (1965) “Meteorological drought”. Tech. Rep, vol 45. U.S. Weather Bureau, Washington, p 58
Kinninmonth WR, Voice ME, Beard GS, de Hoedt GC, Mullen CE (2000) Australian climate services for drought management. In: Wilhite DA (ed) Drought, a global assessment. Routledge, New York, pp 210–222
McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In: Pre-prints, eighth conference on applied climatology, Anaheim, California, pp 179–184
Tsakiris G, Vangelis H (2005) Establishing a drought index incorporating evapotranspiration. Eur Water 9(10):3–11
Edossa DC, Babel MS, Gupta AD (2010) Drought analysis on the Awash River Basin, Ethiopia. Water Resour Manag 24:1441–1460
Mishra AK, Desai VR (2005) Spatial and temporal drought analysis in the Kansabati river basin, India. Int J River Basin Manag 3(1):31–41. doi:10.1080/15715124.2005.9635243
Patel NR, Chopra P, Dhdwal VK (2007) Analyzing spatial patterns of meterological drought using standardized precipitation index. Meteorol Appl 14:329–336
Alam NM, Mishra PK, Jana C, Adhikary PP (2014) Stochasitc model for drought forecasting in Bundelkhand region in Central India. Indian J Agric Sci 84(2):79–84
Venkateswarlu B, Prasad JVNS (2012) Carrying capacity of Indian agriculture: issues related to rainfed agriculture. Curr Sci 102(6):882–888
Wani SP, Sarvesh KV, Krishnappa K, Dharmarajan BK, Deepaja SM (2012) Bhoochetana: mission to boost productivity of rainfed agriculture through science-led interventions in Karnataka. ICRISAT, Hyderabad, p 84
Anonymous (1980) 25 Years research on soil and water conservation in semi-arid deep black soils. CS&WCR&TI, Research Centre, Bellary
Thom HCS (1958) A note on the gamma distribution. Mon Weather Rev 86:117–122
Abramowitz M, Stegun A (1965) Handbook of mathematical formulas, graphs, and mathematical tables. Dover Publications Inc, New York
Lloyd-Hughes B, Saunders M (2002) A drought climatology for Europe. Int J Climatol 22:1571–1592. doi:10.1002/joc.846
NERC (1975) Flood studies report, vol 1. Natural Environment Research Council, London
Leadbetter G, Lindgren G, Rootzen H (1983) Extremes and related properties of random sequences and processes. Springer, New York
Coles SG (2001) An introduction to statistical modeling of extreme values. Springer, London
D’Agostino RB, Stephens MA (eds) (1986) Goodness-of-fit Techniques. Marcel Dekker, New York
Adhikari RN, Ram Mohan Rao MS, RaoBhaskar P (1993) Analysis of rainfall data for water management of dryland zone of Karnataka. Mausam 44(2):147–152
Box GEP, Jenkins GM (1974) Time series forecasting and control. Holden-Day, San Francisco
Tonini F, Lasinio GJ, Hochmair HH (2012) Mapping return levels of absolute NDVI variations for the assessment of drought risk in Ethiopia. Int J Appl Earth Obs Geoinf 18:564–572. doi:10.5897/JDAE12.05
Unkasevic M, Tosic I (2009) Changes in extreme daily winter and summer temperatures in Belgrade. Theor Appl Climatol 95:27–38. doi:10.1007/s00704-007-0364-7
NadarajahS Choi D (2007) Maximum daily rainfall in South Korea. J Earth Syst Sci 116(4):311–320