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
Open Access
Journal Browser
Go
Applied Ecology and Environmental Sciences. 2022, 10(3), 79-87
DOI: 10.12691/aees-10-3-2
Open AccessArticle

Analysis of Precipitation and Drought (1951-2002) for Rajasthan State, India

Umesh Kumar1, , Naginder Singh2, Sanu Meena1, Ketan Jangir3 and Amit Meena4

1Department of Civil Engineering, M.B.M. Engineering College, Jodhpur 342011 Rajasthan, India

2Department of Electronics and Communication Engineering, M.B.M. Engineering College, Jodhpur 342011 Rajasthan, India

3Department of Chemical Engineering, M.B.M. Engineering College, Jodhpur 342011 Rajasthan, India

4Department of Mechanical Engineering, M.B.M. Engineering College, Jodhpur 342011 Rajasthan, India

Pub. Date: March 08, 2022

Cite this paper:
Umesh Kumar, Naginder Singh, Sanu Meena, Ketan Jangir and Amit Meena. Analysis of Precipitation and Drought (1951-2002) for Rajasthan State, India. Applied Ecology and Environmental Sciences. 2022; 10(3):79-87. doi: 10.12691/aees-10-3-2

Abstract

Over the past few centuries, India has been adversely affected by droughts which have a negative impact on the growth of the country. In this study draught analysis of 32 districts of Rajasthan state is carried out for the time period 1951-2002. Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) are used to detect Meteorological Drought in the study area using Precipitation and potential evapotranspiration. For trend analysis, the well-known statistical method known as the “Mann Kendal Test” is used. The result of most of the districts shows a negative trend while a very less number of districts shows a positive trend in drought. Baran district is showing a maximum increasing trend while the Hanumangarh district has a maximum decreasing trend.

Keywords:
drought analysis standardized precipitation index standardized precipitation evapotranspiration index rainfall

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/

References:

[1]  Serrano V S, Beguería S, López-Moreno J. A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. Journal of Climate. 2010; 23(7): 1696-1718.
 
[2]  Dingman, S. L. (1994). Physical hydrology, Prentice Hall Upper Saddle River, NJ
 
[3]  Khan, Y. 1988. Climate and Dryland Ecology. Rawat Publications. Jaipur and New Delhi: 1988.
 
[4]  McKee, T.B., N.J. Doesken and J. Kleist. 1993. The relationship of drought frequency and duration to time scale. In: Proceedings of the Eighth Conference on Applied Climatology, Anaheim, California, 17-22 January 1993. Boston, American Meteorological Society, 179-184.
 
[5]  Hu, Qi & Wilson, Garry. Effects of temperature anomalies on the Palmer Drought Severity Index in the central United States. International Journal of Climatology. 2020.
 
[6]  Theil, H. A rank-invariant method of linear and polynomial regression analysis, I. Proc. Kon. Ned. Akad. v. Wetensch. 1950. A53, 386-392.
 
[7]  Sen, P. K. Estimates of the regression coefficient based on Kendall’s tau. J. Amer. Statist. Assoc. 1968. 63, 1379-1389.
 
[8]  Nikravesh, G., Aghababaei, M., Nazari-Sharabian, M. and Karakouzian, M., 2020. Drought Frequency Analysis Based on the Development of a Two-Variate Standardized Index (Rainfall-Runoff). Water, 12(9), p.2599.
 
[9]  Pandey, V., Srivastava, P., Singh, S., Petropoulos, G. and Mall, R., 2021. Drought Identification and Trend Analysis Using Long-Term CHIRPS Satellite Precipitation Product in Bundelkhand, India. Sustainability, 13(3), p.1042.
 
[10]  Van Loon, A. and Laaha, G., 2015. Hydrological drought severity explained by climate and catchment characteristics. Journal of Hydrology, 526, pp.3-14.
 
[11]  Liu, S., Shi, H. and Sivakumar, B., 2020. Socioeconomic Drought under Growing Population and Changing Climate: A New Index Considering the Resilience of a Regional Water Resources System. Journal of Geophysical Research: Atmospheres, 125(15).
 
[12]  Department of Agriculture and Cooperation, Ministry of Agriculture Government of India, New Delhi, 2009. Meteorological drought is defined as a situation when there is a significant decrease from normal precipitation over an area (i.e. more than 25%). New Delhi.
 
[13]  Kulkarni, S., Wardlow, B., Bayissa, Y., Tadesse, T., Svoboda, M. and Gedam, S., 2020. Developing a Remote Sensing-Based Combined Drought Indicator Approach for Agricultural Drought Monitoring over Marathwada, India. Remote Sensing, 12(13), p.2091.
 
[14]  Gunawat, A., Dubey, S. and Sharma, D., 2016. Development of Indices for Aridity and Temperature Changes Pattern through GIS Mapping for Rajasthan, India. Climate Change and Environmental Sustainability, 4(2), p.178.
 
[15]  Rathore, M., 2004. State level analysis of drought policies and impacts in Rajasthan, India. Colombo, Sri Lanka: International Water Management Institute.
 
[16]  Das, P., Dutta, D., Sharma, J. and Dadhwal, V., 2015. Trends and behaviour of meteorological drought (1901-2008) over Indian region using standardized precipitation-evapotranspiration index. International Journal of Climatology, 36(2), pp.909-916.
 
[17]  Naresh Kumar, M., Murthy, C., Sesha Sai, M. and Roy, P., 2011. Spatiotemporal analysis of meteorological drought variability in the Indian region using standardized precipitation index. Meteorological Applications, 19(2), pp.256-264.
 
[18]  Von Gunten, D., Wöhling, T., Haslauer, C., Merchán, D., Causapé, J. and Cirpka, O., 2016. Using an integrated hydrological model to estimate the usefulness ofmeteorological drought indices in a changing climate. Hydrology and Earth System Sciences, 20(10), pp.4159-4175.
 
[19]  Wang, F., Shao, W., Yu, H., Kan, G., He, X., Zhang, D., Ren, M. and Wang, G., 2020. Re-evaluation of the Power of the Mann-Kendall Test for Detecting Monotonic Trends in Hydrometeorological Time Series. Frontiers in Earth Science, 8.
 
[20]  Taxak, A., Murumkar, A. and Arya, D., 2014. Long term spatial and temporal rainfall trends and homogeneity analysis in Wainganga basin, Central India. Weather and Climate Extremes, 4, pp.50-61.
 
[21]  Hu, Z., Liu, S., Zhong, G., Lin, H. and Zhou, Z., 2020. Modified Mann-Kendall trend test for hydrological time series under the scaling hypothesis and its application. Hydrological Sciences Journal, 65(14), pp.2419-2438.
 
[22]  Barnard, D., Germino, M., Bradford, J., O'Connor, R., Andrews, C. and Shriver, R., 2021. Are drought indices and climate data good indicators of ecologically relevant soil moisture dynamics in drylands?. Ecological Indicators, 133, p.108379.
 
[23]  Naresh Kumar, M., Murthy, C., Sesha Sai, M. and Roy, P., 2009. On the use of Standardized Precipitation Index (SPI) for drought intensity assessment. Meteorological Applications, 16(3), pp.381-389.
 
[24]  Cerpa Reyes, L., Ávila Rangel, H. and Herazo, L., 2022. Adjustment of the Standardized Precipitation Index (SPI) for the Evaluation of Drought in the Arroyo Pechelín Basin, Colombia, under Zero Monthly Precipitation Conditions. Atmosphere, 13(2), p.236.
 
[25]  Liu, C., Yang, C., Yang, Q. and Wang, J., 2021. Spatiotemporal drought analysis by the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) in Sichuan Province, China. Scientific Reports, 11(1).