Abstract
Global warming is a biggest issue around the world. In this research paper, the temporal and spatial trend analysis of seasonal and annual rainfall on Bhogavo River watersheds in Sabarmati lower basin of Gujarat state of India has been analysed using the data of 11 rain gauge stations installed in Bhogavo watershed. Linear regression, Mann–Kendall Test, Sen’s slope test and innovative trend analysis methods are used to carry out monthly and annual rainfall trend analysis. In addition to the rainfall analysis, a number of rainy days change in magnitude as a percentage of mean rainfall have also been analysed using linear regression and Sen’s slope method, respectively. The IDW method is used to develop a spatial distribution of annual and seasonal rainfall trend over the study area. From the results, it is concluded that annual rainfall shown increasing (positive) trend at nine stations out of 11 stations. The highest value of change in magnitude of trend as a percentage of mean monthly rainfall has been obtained in the month of July, attributing increasing trend at Sayla station and lowest value magnitude of trend as a percentage of mean rainfall in the monthly rainfall has been obtained in the month of August, attributing decreasing trend at Bavla station.
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References
Basistha A, Arya D, Goel N (2009) Analysis of historical changes in rainfall in the Indian Himalayas. Int J of Climatol 29:555–572
Camuffo D, Becherini F, Della Valle A (2020) Relationship between selected percentiles and return periods of extreme events. Acta Geophys. https://doi.org/10.1007/s11600-020-00452-x
Chandniha S, Meshram S, Adamowski J, Mesharam C (2017) Trend analysis of precipitation in Jharkhand state, India investigating precipitation variability in Jharkhand state. J Theor Appl Climatol 130:261–274. https://doi.org/10.1007/s00704-016-1875-x
Chandole V, Joshi GS, Rana SC (2019) Spatio-temporal trend detection of hydro -meteorological parameters for climate change assessment in lower Tapi river basin of Gujarat state, India. J Atmos Solar-Terrestrial Phys 195:105–130. https://doi.org/10.1016/j.jastp.2019.105130
Cui L, Wang L, Singh R et al (2018) Association analysis between spatiotemporal variation of vegetation greenness and precipitation / temperature in the Yangtze river basin (China). J Environ Sci Pollut Res 25:21867–21878. https://doi.org/10.1007/s11356-018-2340-4
Dayal D, Pandey A, Himanshu S, Palmate S (2018) Long term historic changes of precipitation and aridity index over an Indian river basin. World Environ Water Res Congr 2018 262:262–272. https://doi.org/10.1061/9780784481417.026
Farhangi M, Kholghi M, Chavoshian S (2013) Rainfall trend analysis of hydrological sub basins in western Iran. J Irrig Drain Eng 144:1–11. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001271
Feng W, Chen L (2012) Estimation of the spatial rainfall distribution using inverse distance weighting (IDW) in the middle of Taiwan. J Paddy Water Environ 10:209–222. https://doi.org/10.1007/s10333-012-0319-1
Gajbhiye S, Meshram C, Mirabbasi R, Sharma S (2016) Precipitation trend analysis of Sindh river basin, India, from 102-year record (1901–2002). J of Atmos Sci 77:71–77. https://doi.org/10.1002/asl.602
Gocic M, Trajkovic S (2013) Analysis of changes in meteorological variables using Mann-Kendall and Sen’ s slope estimator statistical tests in Serbia. J Glob Planet Change 100:172–182. https://doi.org/10.1016/j.gloplacha.2012.10.014
Gocic M, Trajkovic S (2014) Spatio-temporal patterns of precipitation in Serbia. Theoret Appl Climatol 117(3–4):419–431. https://doi.org/10.1007/s00704-013-1017-7
Jain S, Kumar V, Saharia M (2012) Analysis of rainfall and temperature trends in northeast India. Int J Climatol. https://doi.org/10.1002/joc.3483
Jeneiova K, Kohnova S, Sabo M (2014) Detecting trends in the annual maximum discharges in the Vah river basin, Slovakia. J Silvatica et Lignaria Hungarica 10:133–144. https://doi.org/10.2478/aslh-2014-0010
Joshi GS, Makhasana P (2020) Assessment of seasonal climate transference and regional influential linkages to land cover—investigation in a river basin. J Atmos Solar-Terrestrial Phys 199:105–290. https://doi.org/10.1016/j.jastp.2020.105209
Joshi GS, Shah S (2019) Analysis of climate change impacts on rainfall trends in the Orsang river basin, India. World Environ Water Res Congr (ASCE). https://doi.org/10.1061/9780784482346.033
Kaur S, Diwakar S, Das A (2017) Long term rainfall trend over meteorological sub divisions and districts of long-term rainfall trend over meteorological sub divisions and districts of India. Mausam 68:439–450. https://doi.org/10.13140/RG.2.1.3908.4409
Kendall (1975) Rank correlation methods. 4th Edition, Charles Griffin, London, pp 34–37
Kumar V, Jain S, Singh Y (2010) Analysis of long-term rainfall trends in India. J Hydrol Sci 55(4):484–497. https://doi.org/10.1080/02626667.2010.481373
Li H, Liu L, Shan B et al (2019) Spatiotemporal variation of drought and associated multi-scale response to climate change over the Yarlung Zangbo river basin of Qinghai—Tibet. J Remote Sens 11:1596–1617. https://doi.org/10.3390/rs11131596
Liang P, Ding YH (2017) The long-term variation of extreme heavy precipitation and its link to urbanization effects in Shanghai during 1916–2014. Adv Atmos Sci 34(3):321–334. https://doi.org/10.1007/s00376-016-6120-0
Makhasana P, Joshi G (2019) Assessment of climate change impact using hydro-meteorological indicators-rainfall, temperature and runoff in Mazam river. Int Conf Clim Change 3:1–17. https://doi.org/10.17501/2513258X.2019.3101
Mann HB (1945) Non-parametric tests against trend. Econometrica 13:245–259
Motiee H, McBean E (2009) An assessment of long-term trends in hydrologic components and implications for water levels in Lake superior. J Hydrol Res 40:564–579. https://doi.org/10.2166/nh.2009.061
Pakalidou N, Karacosta P (2017) Statistical analysis of a 124-year period of precipitation data in Thessaloniki. In: Karacostas T, Bais A, Nastos PT (eds) Perspectives on atmospheric sciences. Springer, Cham, pp 537–543. https://doi.org/10.1007/978-3-319-35095-0_77
Partal T, Kucuk M (2006) Long-term trend analysis using discrete wavelet components of annual precipitations measurements in Marmara region (Turkey). J Phys Chem Earth 31:1189–1200. https://doi.org/10.1016/j.pce.2006.04.043
Patle G, Libang A (2014) Trend analysis of annual and seasonal rainfall to climate variability in North-East region of India. J Appl Nat Sci 6:480–483. https://doi.org/10.31018/jans.v6i2.486
Pingale S, Khare D, Jat M, Adamowski J (2014) Spatial and temporal trends of mean and extreme rainfall and temperature for the 33 urban centres of the arid and semi-arid state of Rajasthan, India. J Atmos Res 138:73–90. https://doi.org/10.1016/j.atmosres.2013.10.024
Sanikhani H, Kisi O, Mirabbasi R, Meshram S (2018) Trend analysis of rainfall pattern over the Central India during 1901–2010. Arab J Geosci 11:437–451. https://doi.org/10.1007/s12517-018-3800-3
Sayemuzzaman M, Jha M (2014) Seasonal and annual precipitation time series trend analysis in. J Atmos Res 137:183–194. https://doi.org/10.1016/j.atmosres.2013.10.012
Sen Z (2012) Innovative trend analysis methodology. J Hydrol Eng 17:1042–1046. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000556
Sonali P, Kumar N (2013) Review of trend detection methods and their application to detect temperature changes in India. J Hydrol 476:212–227. https://doi.org/10.1016/j.jhydrol.2012.10.034
Suryavanshi S, Pandey A, Chaube U, Joshi N (2013) Long-term historic changes in climatic variables of Betwa. J Theor Appl Climatol 117:403–418. https://doi.org/10.1007/s00704-013-1013-y
Tabari H, Marofi S, Aeini A, Talaee P, Mohammadi K (2011) Agricultural and forest meteorology trend analysis of reference evapotranspiration in the western half of Iran. J Agric For Meteorol 151:128–136. https://doi.org/10.1016/j.agrformet.2010.09.009
Wu H, Qian H (2016) Innovative trend analysis of annual and seasonal rainfall and extreme values in Shaanxi, China, since the 1950s. Int J Climatol 37:5282–5292. https://doi.org/10.1002/joc.4866
Yue S, Pilon P, Phinney B, Cavadias G (2002) The influence of autocorrelation on the ability to detect trend in hydrological series. 1829(October 2000). J Hydrol Proc 16:1807–1829. https://doi.org/10.1002/hyp.1095
Zarenistanak M, Dhorde A, Kripalani R (2014) Trend analysis and change point detection of annual and seasonal precipitation and temperature series over southwest Iran. J Indian Acad Sci 2:281–295. https://doi.org/10.1007/s12040-013-0395-7
Zhang X, Wang S et al (2015) Temporal and spatial variability in precipitation trends in the southeast Tibetan plateau during 1961–2012. J Clim Past Discuss. https://doi.org/10.5194/cpd-11-447-2015
Zhao J, Huang Q et al (2015) Analysis of temporal and spatial trends of hydro-climatic variables in the Wei river basin. J Environ Res 139:55–64. https://doi.org/10.1016/j.envres.2014.12.028
Acknowledgements
Thanks to State Water Data Centre (SWDC) of Gujarat for providing the necessary data related to the study area. Also, thanks to the water resources and Kalpasar department, Gujarat, for providing the basic information about the study area.
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Pratik Patel contributed to writing—original draft preparation, software and data analysis; Geeta S. Joshi and Shilpesh Rana contributed to writing—review and editing, supervision and validation; Geeta S. Joshi contributed to conceptualization and methodology; Geeta S. Joshi, Shilpesh Rana and Pratik Patel contributed to formal analysis and investigation. All authors have read and agreed to the published version of the manuscript.
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Communicated by Theodore Karacostas, Prof. (CO-EDITOR-IN-CHIEF).
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Patel, P.S., Rana, S.C. & Joshi, G.S. Temporal and spatial trend analysis of rainfall on Bhogavo River watersheds in Sabarmati lower basin of Gujarat, India. Acta Geophys. 69, 353–364 (2021). https://doi.org/10.1007/s11600-020-00520-2
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DOI: https://doi.org/10.1007/s11600-020-00520-2