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Phys 129(4):409–424. https://doi.org/10.1007/s00703-016-0479-4
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(2017) A threefold rise in widespread extreme rain events over Central India. Nat Commun 8
(1):1–11. https://doi.org/10.1038/s41467-017-00744-9
Sahoo SK, Ajilesh PP, Gouda KC, Himesh S (2020) Impact of land-use changes on the genesis and
evolution of extreme rainfall event: a case study over Uttarakhand, India. Theor Appl Climatol
140:1–12. https://doi.org/10.1007/s00704-020-03129-z
Sarkar A, Chouhan P (2019) Dynamic simulation of urban expansion based on cellular automata
and Markov chain model: a case study in Siliguri Metropolitan Area, West Bengal. Model Earth
Syst Environ 5:1723–1732. https://doi.org/10.1007/s40808-019-00626-7
Sarkar A, Chouhan P (2020) Modeling spatial determinants of urban expansion of Siliguri a
metropolitan city of India using logistic regression. Model Earth Syst Environ 6:2317. https://
doi.org/10.1007/s40808-020-00815-9
Satishkumar K, Rathnam EV (2020) Comparison of six trend detection methods and forecasting for
monthly groundwater levels–a case study. ISH J Hydraul Eng:1–10. https://doi.org/10.1080/
09715010.2020.1715270
Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63
(324):1379–1389
Şen Z (2012) Innovative trend analysis methodology. J Hydrol Eng 17(9):1042–1046. https://doi.
org/10.1061/(ASCE)HE.1943-5584.0000556
182
T. Mandal et al.
In: Hydrologic time series analysis: theory and practice. Springer, Dordrecht, pp 181–200.
https://doi.org/10.1007/978-94-007-1861-6_9
Mandal T, Das J, Rahman ATMS, Saha P (2020) Rainfall insight in Bangladesh and India: climate
change and environmental perspective. In: Habitat, ecology and ekistics: case studies of humanenvironment interactions in India. Springer, Singapore. https://doi.org/10.1007/978-3-03049115-4_3
Mann HB (1945) Nonparametric tests against trend. Econometrica J Econometric Soc 13:245–259.
https://doi.org/10.2307/1907187
Mohorji AM, Şen Z, Almazroui M (2017) Trend analyses revision and global monthly temperature
innovative multi-duration analysis. Earth Syst Environ 1(1):9. https://doi.org/10.1007/s41748017-0014-x
Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL (2007) Model
evaluation guidelines for systematic quantification of accuracy in watershed simulations.
Trans ASABE 50(3):885–900
Nikumbh AC, Chakraborty A, Bhat GS (2019) Recent spatial aggregation tendency of rainfall
extremes over India. Sci Rep 9(1):1–7. https://doi.org/10.1038/s41598-019-46719-2
Nisansala WDS, Abeysingha NS, Islam A, Bandara AMKR (2020) Recent rainfall trend over Sri
Lanka (1987–2017). Int J Climatol 40(7):3417–3435. https://doi.org/10.1002/joc.6405
Öztopal A, Şen Z (2017) Innovative trend methodology applications to precipitation records in
Turkey. Water Resour Manag 31(3):727–737. https://doi.org/10.1007/s11269-016-1343-5
Phuong DND, Tram VNQ, Nhat TT, Ly TD, Loi NK (2020) Hydro-meteorological trend analysis
using the Mann-Kendall and innovative-Şen methodologies: a case study. Int J Glob Warming
20(2):145–164. https://doi.org/10.1504/IJGW.2020.105385
Pour SH, Abd Wahab AK, Shahid S, Ismail ZB (2020) Changes in reference evapotranspiration and
its driving factors in peninsular Malaysia. Atmos Res 246:105096. https://doi.org/10.1016/j.
atmosres.2020.105096
Rahman MA, Yunsheng L, Sultana N (2017) Analysis and prediction of rainfall trends over
Bangladesh using Mann–Kendall, Spearman’s rho tests and ARIMA model. Meteorol Atmos
Phys 129(4):409–424. https://doi.org/10.1007/s00703-016-0479-4
Rahman ATMS, Hosono T, Quilty JM, Das J, Basak A (2020) Multiscale groundwater level
forecasting: coupling new machine learning approaches with wavelet transforms. Adv Water
Resour 141:103595. https://doi.org/10.1016/j.advwatres.2020.103595
Roxy MK, Ghosh S, Pathak A, Athulya R, Mujumdar M, Murtugudde R, Terray P, Rajeevan M
(2017) A threefold rise in widespread extreme rain events over Central India. Nat Commun 8
(1):1–11. https://doi.org/10.1038/s41467-017-00744-9
Sahoo SK, Ajilesh PP, Gouda KC, Himesh S (2020) Impact of land-use changes on the genesis and
evolution of extreme rainfall event: a case study over Uttarakhand, India. Theor Appl Climatol
140:1–12. https://doi.org/10.1007/s00704-020-03129-z
Sarkar A, Chouhan P (2019) Dynamic simulation of urban expansion based on cellular automata
and Markov chain model: a case study in Siliguri Metropolitan Area, West Bengal. Model Earth
Syst Environ 5:1723–1732. https://doi.org/10.1007/s40808-019-00626-7
Sarkar A, Chouhan P (2020) Modeling spatial determinants of urban expansion of Siliguri a
metropolitan city of India using logistic regression. Model Earth Syst Environ 6:2317. https://
doi.org/10.1007/s40808-020-00815-9
Satishkumar K, Rathnam EV (2020) Comparison of six trend detection methods and forecasting for
monthly groundwater levels–a case study. ISH J Hydraul Eng:1–10. https://doi.org/10.1080/
09715010.2020.1715270
Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63
(324):1379–1389
Şen Z (2012) Innovative trend analysis methodology. J Hydrol Eng 17(9):1042–1046. https://doi.
org/10.1061/(ASCE)HE.1943-5584.0000556
182
T. Mandal et al.