Abstract
The present research analyzed spatial and temporal variability of short-term meteorological drought using Standardized Precipitation Index (SPI) and non-parametric trend tests for the semi-arid north Gujarat region, India. The SPI-6 indicating meteorological drought has been thoroughly examined considering drought characteristics such as intensity, duration, recurrence probability, and major drought years. The SPI-6 analysis along with non-parametric trend tests such as Mann-Kendall (MK) and Modified Mann-Kendall (MMK) for trend significance, Sen’s slope (SEN) and Linear Regression (LR) for trend magnitude and Lanzante’s test (LNZ) for change point detection were performed on Indian Meteorological Department (IMD) gridded rainfall data having time span 1951–2020 years. The analysis revealed major drought events for the years 1968, 1974, 1987, 1999, 2002, and recently in 2018 which were spatially distributed for the entire region using the IDW interpolation method in GIS-Environment. Based on the average SPI-6 values over the entire region, 1985–1987 and 1999–2002 time periods were observed to be severely dry spells in which 1987 was the extreme drought with intensity up to -4.24 in southern parts. The recurrence probability of extreme droughts was found to be highest (1 in 18 years) in northern and central parts. The trend analysis of SPI-6 values highlighted negative trends in about 17% of the grid points indicating drought-prone areas whereas about 83% of the grid points revealed positive trends indicating increasing wet spells. From the change point detection, significant changes in drought were observed for the year 2002 in most grid points. Present research outcomes will be helpful in crafting regional drought policies for the sustainable management of water resources in a changing climate.
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References
MDM (2009) Manual for Drought Management, Report of Department of Agriculture and Cooperation, Ministry of Agriculture Government of India New Delhi, November 2009
WMO (2012) Standardized Precipitation Index User Guide, Report of World Meteorological Organization (M. Svoboda, M. Hayes and D. Wood), Geneva, ISBN 978-92-63-11091
Mckee TB, Doesken NJ, Kleist JR (1993) The relationship of drought frequency and duration to time scales. In: 8th conference on applied climatology, Anaheim, California, 17–22 January, pp 179–184
Zarei and Eslamian (2017) Trend assessment of precipitation and drought index (SPI) using parametric and non-parametric trend analysis methods (case study: arid regions of southern Iran). Int J Hydrol Sci Technol 7(1):12–38. https://doi.org/10.1504/IJHST.2017.080957
Incoom (2020) Rainfall variabilities and droughts in the Savannah zone of Ghana from 1960–2015. Sci Afr. https://doi.org/10.1016/j.sciaf.2020.e00571
Feng W, Lu H, Yao T (2020) Drought characteristics and its elevation dependence in the Qinghai-Tibet plateau during the last half-century. Sci Rep 10:14323. https://doi.org/10.1038/s41598-020-71295-1
Alsubih M, Mallick J, Talukdar S (2021) An investigation of the short-term meteorological drought variability over Asir Region of Saudi Arabia. Theor Appl Climatol 145:597–617. https://doi.org/10.1007/s00704-021-03647-4
Patel, (2007) Analyzing spatial patterns of meteorological drought using standardized precipitation index. Met. Apps 14:329–336. https://doi.org/10.1002/met.33
Bandyopadhyay and Saha (2016) A comparative analysis of four drought indices using geospatial data in Gujarat, India. Arab J Geosci 9:341. https://doi.org/10.1007/s12517-016-2378-x
Das J, Gayen A, Saha P (2020) Meteorological drought analysis using Standardized Precipitation Index over Luni River Basin in Rajasthan, India. SN Appl Sci 2:1530. https://doi.org/10.1007/s42452-020-03321-w
Swain S, Mishra SK, Pandey A (2021) A detailed assessment of meteorological drought characteristics using simplified rainfall index over Narmada River Basin, India. Environ Earth Sci 80:221. https://doi.org/10.1007/s12665-021-09523-8
PMKSY 2020, District Irrigation Plan (2016–2020) of Banaskantha, Patan and Mehsana districts, Reports of PMKSY (Predhan Mantri Krishi Sinchayee Yojana) prepared by NABCONS
Joshi and Shah (2022) Trend analysis of hydro-meteorological parameters and influence of anthropogenic activities in lower Narmada river basin, India. Phys Chem Earth Parts a/b/c 126:103148. https://doi.org/10.1016/j.pce.2022.103148
Mann, (1945) Nonparametric tests against trend. Econometrica 13:245–259. https://doi.org/10.2307/1907187
Kendall (1975) Rank correlation methods. Charless Griffin, London
Yue S, Wang CY (2004) The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series. Water Resour Manage 18:201–218. https://doi.org/10.1023/B:WARM.0000043140.61082.60
Sen, (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63:1379–1389. https://doi.org/10.1080/01621459.1968.10480934
Lanzante JR (1996) Resistant, robust and non-parametric techniques for the analysis of climate data: theory and examples, including applications to historical radiosonde station data. Int J Climatol 16:1197–1226. https://doi.org/10.1002/(SICI)1097-0088(199611)16:11%3C1197::AID-JOC89%3E3.0.CO;2-L
Acknowledgements
The authors are thankful for the financial support received from the Climate Change Department of the state government of Gujarat, India under research project-CCSGS (Principal Investigator—Dr. Geeta S. Joshi).
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Soni, D.H., Joshi, G.S. (2024). Spatiotemporal Variability of Short-Term Meteorological Drought for Semi-arid North Gujarat Region, India. In: Vinod Chandra Menon, N., Kolathayar, S., Sreekeshava, K.S. (eds) Environmental Engineering for Ecosystem Restoration. IACESD 2023. Lecture Notes in Civil Engineering, vol 464. Springer, Singapore. https://doi.org/10.1007/978-981-97-0910-6_7
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