Compiling non-parametric tests along with CA-ANN model for precipitation trends and variability analysis: A case study of Eastern India

In the present research, mean monthly precipitation data have been used to analyze the existing trends of the precipitation for the periods of 1981–2019 using non-parametric methods as the Mann-Kendall test and Sen's Slope (β). The results show a positive increasing trend in annual precipitatio...

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Autores principales:	Debabrata Sarkar, Trishna Sarkar, Sunil Saha, Prolay Mondal
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2021
Materias:	Precipitation Non-parametric test Trend analysis Future prediction West Bengal Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/0962d95a1d154d1692eebb0a8377bea9
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spelling	oai:doaj.org-article:0962d95a1d154d1692eebb0a8377bea92021-11-14T04:35:46ZCompiling non-parametric tests along with CA-ANN model for precipitation trends and variability analysis: A case study of Eastern India2666-445310.1016/j.watcyc.2021.11.002https://doaj.org/article/0962d95a1d154d1692eebb0a8377bea92021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666445321000076https://doaj.org/toc/2666-4453In the present research, mean monthly precipitation data have been used to analyze the existing trends of the precipitation for the periods of 1981–2019 using non-parametric methods as the Mann-Kendall test and Sen's Slope (β). The results show a positive increasing trend in annual precipitation in the south whereas the central part of the study area recorded insignificant declining tends of precipitation over the last century. The maximum decrease in annual precipitation is detected in the Raiganj station (−0.286 mm/year). Alipore station recorded the maximum increase (1.354 mm/year) and the maximum decrease of monsoonal precipitation recorded in Malda station (−1.155 mm/year). The average coefficient value of all stations of winter is 72.83% whereas seasonally the coefficient of variation is low as 19.21% in monsoon time. The high coefficient value in winter (72.83%), pre-monsoon (39.70%), and post-monsoon (34.68%) depicting the weather severity in the study area. For forecasting potential rainfall patterns CA-ANN method was utilized and the high kappa value of the forecasted maps illustrates the authenticity of the findings. The annual rainfall will notice a little of 0.26% of rises in rainfall quantity from 2023 to 2027 and the post-monsoon rainfall will experience a major decline of 8.53% by the year 2023. For the policymakers, this study significantly enhances the climatic knowledge regarding the study region and that can help in managing resources and overall development of this area.Debabrata SarkarTrishna SarkarSunil SahaProlay MondalKeAi Communications Co., Ltd.articlePrecipitationNon-parametric testTrend analysisFuture predictionWest BengalEnvironmental technology. Sanitary engineeringTD1-1066ENWater Cycle, Vol 2, Iss , Pp 71-84 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Precipitation Non-parametric test Trend analysis Future prediction West Bengal Environmental technology. Sanitary engineering TD1-1066
spellingShingle	Precipitation Non-parametric test Trend analysis Future prediction West Bengal Environmental technology. Sanitary engineering TD1-1066 Debabrata Sarkar Trishna Sarkar Sunil Saha Prolay Mondal Compiling non-parametric tests along with CA-ANN model for precipitation trends and variability analysis: A case study of Eastern India
description	In the present research, mean monthly precipitation data have been used to analyze the existing trends of the precipitation for the periods of 1981–2019 using non-parametric methods as the Mann-Kendall test and Sen's Slope (β). The results show a positive increasing trend in annual precipitation in the south whereas the central part of the study area recorded insignificant declining tends of precipitation over the last century. The maximum decrease in annual precipitation is detected in the Raiganj station (−0.286 mm/year). Alipore station recorded the maximum increase (1.354 mm/year) and the maximum decrease of monsoonal precipitation recorded in Malda station (−1.155 mm/year). The average coefficient value of all stations of winter is 72.83% whereas seasonally the coefficient of variation is low as 19.21% in monsoon time. The high coefficient value in winter (72.83%), pre-monsoon (39.70%), and post-monsoon (34.68%) depicting the weather severity in the study area. For forecasting potential rainfall patterns CA-ANN method was utilized and the high kappa value of the forecasted maps illustrates the authenticity of the findings. The annual rainfall will notice a little of 0.26% of rises in rainfall quantity from 2023 to 2027 and the post-monsoon rainfall will experience a major decline of 8.53% by the year 2023. For the policymakers, this study significantly enhances the climatic knowledge regarding the study region and that can help in managing resources and overall development of this area.
format	article
author	Debabrata Sarkar Trishna Sarkar Sunil Saha Prolay Mondal
author_facet	Debabrata Sarkar Trishna Sarkar Sunil Saha Prolay Mondal
author_sort	Debabrata Sarkar
title	Compiling non-parametric tests along with CA-ANN model for precipitation trends and variability analysis: A case study of Eastern India
title_short	Compiling non-parametric tests along with CA-ANN model for precipitation trends and variability analysis: A case study of Eastern India
title_full	Compiling non-parametric tests along with CA-ANN model for precipitation trends and variability analysis: A case study of Eastern India
title_fullStr	Compiling non-parametric tests along with CA-ANN model for precipitation trends and variability analysis: A case study of Eastern India
title_full_unstemmed	Compiling non-parametric tests along with CA-ANN model for precipitation trends and variability analysis: A case study of Eastern India
title_sort	compiling non-parametric tests along with ca-ann model for precipitation trends and variability analysis: a case study of eastern india
publisher	KeAi Communications Co., Ltd.
publishDate	2021
url	https://doaj.org/article/0962d95a1d154d1692eebb0a8377bea9
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Compiling non-parametric tests along with CA-ANN model for precipitation trends and variability analysis: A case study of Eastern India

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