Spatial and temporal variation of precipitation trends in Andhra Pradesh, India

Sivajothi, R.; Karthikeyan, K.

doi:10.1088/1757-899x/263/4/042146

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Mondal et al [54] reported a decreasing summer rainfall. Sivajothi et al [55] used district-level average rainfall data and reported a significant increasing annual and northeast monsoon rainfall and a decreasing southwest monsoon rainfall. Naveen et al [56] presented a detailed analysis of various climatological parameters such as rainfall, temperature, wind speed, humidity, evaporation, solar radiation, etc., of the Ananthapuramu district.…”

Section: Introductionmentioning

confidence: 99%

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

Patakamuri

Muthiah

Sridhar

2020

Water

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The 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.

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Section: Introductionmentioning

confidence: 99%

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

Patakamuri

Muthiah

Sridhar

2020

Water

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Analysis of precipitation pattern using various stochastic distributions in Karnataka state, India

Sivajothi

Karthikeyan

Sarkar³

2018

J. Phys.: Conf. Ser.

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A comparison study between Doane’s and Freedman-Diaconis’ binning rule in characterizing potential water resources availability

Chuan

Yusoff

Aziz

et al. 2019

J. Phys.: Conf. Ser.

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One of the primary constraints for development and management of water resources is the spatial and temporal uncertainty of rainfall. This is due to the stability and reliability of water supply is dynamically associated with the spatial and temporal uncertainty of rainfall. However, this spatial and temporal uncertainty can be assessed using the intensity entropy (IE) and apportionment entropy (AE). The main objective of this study is to investigate the implications of the use of Doane’s and Freedman-Diaconis’ binning rule in characterizing potential water resource availability (PWRA), which the PWRA is assessed via the standardized intensity entropy (IE’) against the standardized apportionment entropy (AE’) scatter diagram. To pursue the objective of this study, the daily rainfall data recorded ranging from January 2008 to December 2016 at four rainfall monitoring stations located Coastal region of Kuantan District Pahang are analyzed. The analysis results illustrated that the use of Doane’s binning rule is more appropriate than Freedman-Diaconis’ binning rule. This is due to the resulted PWRA characteristics using Doane’s binning rule is relatively consistent with practical climate such that the study region is experiencing poor-in-water zone with less amount and high uncertainty of rainfall during the Southwest Monsoon, while abundant and perennial rainfall during the Northeast Monsoon. Furthermore, the use of Doane’s binning rule is more advantages compared to the Freedman-Diaconis’ binning rule with the abstraction of computational cost and time.

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Spatial and temporal variation of precipitation trends in Andhra Pradesh, India

Cited by 3 publications

References 12 publications

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

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

Analysis of precipitation pattern using various stochastic distributions in Karnataka state, India

A comparison study between Doane’s and Freedman-Diaconis’ binning rule in characterizing potential water resources availability

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