Long term spatial and temporal rainfall trends and homogeneity analysis in Wainganga basin, Central India

Gridded rainfall data of 0.5×0.5° resolution (CRU TS 3.21) was analysed to study long term spatial and temporal trends on annual and seasonal scales in Wainganga river basin located in Central India during 1901–2012. After testing the presence of autocorrelation, Mann–Kendall (Modified Mann–Kendall)...

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Main Authors: Arun Kumar Taxak, A.R. Murumkar, D.S. Arya
Format: Article
Language:English
Published: Elsevier 2014-08-01
Series:Weather and Climate Extremes
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2212094714000292
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spelling doaj-04c6e81b57e94fce99afa134a2cf8ca72020-11-24T20:53:45ZengElsevierWeather and Climate Extremes2212-09472014-08-014C506110.1016/j.wace.2014.04.005Long term spatial and temporal rainfall trends and homogeneity analysis in Wainganga basin, Central IndiaArun Kumar TaxakA.R. MurumkarD.S. AryaGridded rainfall data of 0.5×0.5° resolution (CRU TS 3.21) was analysed to study long term spatial and temporal trends on annual and seasonal scales in Wainganga river basin located in Central India during 1901–2012. After testing the presence of autocorrelation, Mann–Kendall (Modified Mann–Kendall) test was applied to non-auto correlated (auto correlated) series to detect the trends in rainfall data. Theil and Sen׳s slope estimator test was used for finding the magnitude of change over a time period. For detecting the most probable change year, Pettitt–Mann–Whitney test was applied. The Rainfall series was then divided into two partial duration series for finding changes in trends before and after the change year. Arc GIS was used to explore spatial patterns of the trends over the entire basin. Though most of the grid points shows a decreasing trend in annual rainfall, only seven grids has a significant decreasing trend during 1901–2012. On the basis of seasonal trend analysis, non-significant increasing trend is observed only in post monsoon season while seven grid points show significant decreasing trend in monsoon rainfall and non-significant in pre-monsoon and winter rainfall over the last 112 years. During the study period, overall a 8.45% decrease in annual rainfall is estimated. The most probable year of change was found to be 1948 in annual and monsoonal rainfall. There is an increasing rainfall trend in the basin during the period 1901–1948, which is reversed during the period 1949–2012 resulting in decreasing rainfall trend in the basin. Homogeneous trends in annual and seasonal rainfall over a grid points is exhibited in the basin by van Belle and Hughes׳ homogeneity trend test.http://www.sciencedirect.com/science/article/pii/S2212094714000292TrendHomogeneity Mann–Kendall testSen׳s slope estimatorRainfallWainganga
collection DOAJ
language English
format Article
sources DOAJ
author Arun Kumar Taxak
A.R. Murumkar
D.S. Arya
spellingShingle Arun Kumar Taxak
A.R. Murumkar
D.S. Arya
Long term spatial and temporal rainfall trends and homogeneity analysis in Wainganga basin, Central India
Weather and Climate Extremes
Trend
Homogeneity Mann–Kendall test
Sen׳s slope estimator
Rainfall
Wainganga
author_facet Arun Kumar Taxak
A.R. Murumkar
D.S. Arya
author_sort Arun Kumar Taxak
title Long term spatial and temporal rainfall trends and homogeneity analysis in Wainganga basin, Central India
title_short Long term spatial and temporal rainfall trends and homogeneity analysis in Wainganga basin, Central India
title_full Long term spatial and temporal rainfall trends and homogeneity analysis in Wainganga basin, Central India
title_fullStr Long term spatial and temporal rainfall trends and homogeneity analysis in Wainganga basin, Central India
title_full_unstemmed Long term spatial and temporal rainfall trends and homogeneity analysis in Wainganga basin, Central India
title_sort long term spatial and temporal rainfall trends and homogeneity analysis in wainganga basin, central india
publisher Elsevier
series Weather and Climate Extremes
issn 2212-0947
publishDate 2014-08-01
description Gridded rainfall data of 0.5×0.5° resolution (CRU TS 3.21) was analysed to study long term spatial and temporal trends on annual and seasonal scales in Wainganga river basin located in Central India during 1901–2012. After testing the presence of autocorrelation, Mann–Kendall (Modified Mann–Kendall) test was applied to non-auto correlated (auto correlated) series to detect the trends in rainfall data. Theil and Sen׳s slope estimator test was used for finding the magnitude of change over a time period. For detecting the most probable change year, Pettitt–Mann–Whitney test was applied. The Rainfall series was then divided into two partial duration series for finding changes in trends before and after the change year. Arc GIS was used to explore spatial patterns of the trends over the entire basin. Though most of the grid points shows a decreasing trend in annual rainfall, only seven grids has a significant decreasing trend during 1901–2012. On the basis of seasonal trend analysis, non-significant increasing trend is observed only in post monsoon season while seven grid points show significant decreasing trend in monsoon rainfall and non-significant in pre-monsoon and winter rainfall over the last 112 years. During the study period, overall a 8.45% decrease in annual rainfall is estimated. The most probable year of change was found to be 1948 in annual and monsoonal rainfall. There is an increasing rainfall trend in the basin during the period 1901–1948, which is reversed during the period 1949–2012 resulting in decreasing rainfall trend in the basin. Homogeneous trends in annual and seasonal rainfall over a grid points is exhibited in the basin by van Belle and Hughes׳ homogeneity trend test.
topic Trend
Homogeneity Mann–Kendall test
Sen׳s slope estimator
Rainfall
Wainganga
url http://www.sciencedirect.com/science/article/pii/S2212094714000292
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