Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India

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dc.contributor.authorPatakamuri, Sandeep Kumaren
dc.contributor.authorMuthiah, Krishnavenien
dc.contributor.authorSridhar, Venkataramanaen
dc.contributor.departmentBiological Systems Engineeringen
dc.date.accessioned2020-01-24T17:14:49Zen
dc.date.available2020-01-24T17:14:49Zen
dc.date.issued2020-01-11en
dc.date.updated2020-01-23T22:00:52Zen
dc.description.abstractThe objective of this study is to evaluate the homogeneity, trend, and trend change points in the rainfall data. Daily rainfall data was collected for the arid district of Ananthapuramu, Andhra Pradesh state, India from 1981 to 2016 at the subdistrict level and aggregated to monthly, annual, seasonal rainfall totals, and the number of rainy days. After quality checks and homogeneity analysis, a total of 27 rain gauge locations were considered for trend analysis. A serial correlation test was applied to all the time series to identify serially independent series. NonParametric Mann–Kendall test and Spearman’s rank correlation tests were applied to serially independent series. The magnitude of the trend was calculated using Sen’s slope method. For the data influenced by serial correlation, various modified versions of Mann–Kendall tests (pre-whitening, trend-free pre-whitening, bias-corrected pre-whitening, and two variants of variance correction approaches) were applied. A significant increasing summer rainfall trend is observed in six out of 27 stations. Significant decreasing trends are observed at two stations during the southwest monsoon season and at two stations during the northeast monsoon season. To identify the trend change points in the time series, distribution−free cumulative sum test, and sequential Mann–Kendall tests were applied. Two open−source library packages were developed in R language namely, ”modifiedmk” and ”trendchange” to implement the statistical tests mentioned in this paper. The study results benefit water resource management, drought mitigation, socio−economic development, and sustainable agricultural planning in the region.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationPatakamuri, S.K.; Muthiah, K.; Sridhar, V. Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India. Water 2020, 12, 211.en
dc.identifier.doihttps://doi.org/10.3390/w12010211en
dc.identifier.urihttp://hdl.handle.net/10919/96572en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjecttrend analysisen
dc.subjectnonparametric trend testsen
dc.subjectMann–Kendallen
dc.subjectmodified Mann–Kendallen
dc.subjectclimate changeen
dc.subjectmodifiedmken
dc.subjecttrendchangeen
dc.titleLong-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, Indiaen
dc.title.serialWateren
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
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