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- W4312901069 abstract "This chapter provides an overview of parametric and non-parametric statistical tests used for investigating homogeneity and trend in hydrological variables with a focus on Mann-Kendall (M-K) test and innovative trend analysis (ITA) method. Modifications suggested in both M-K and ITA tests are also briefly discussed. Furthermore, a case study is presented where seasonal (monsoon, post-monsoon, winter, and pre-monsoon) and annual rainfall of a hot arid region of India are examined for trends using variance-corrected M-K and ITA tests and for homogeneity using Tukey, Link-Wallace, Bartlett, and Hartley tests. The M-K test depicts positive (increasing) trends at 90% and 87% sites in monsoon and annual rainfall, respectively, and statistically significant trends at 4 sites (P < .05). However, ITA method is found over-sensitive in identifying significantly rising rainfall trends. Furthermore, Link-Wallace and Tukey tests perform better than Hartley and Bartlett tests in examining rainfall homogeneity. Accordingly, seasonal and annual rainfall in the area is found mostly homogeneous while significant non-homogeneity at a few sites is observed due to rising rainfall. The dissimilar findings obtained by different tests emphasize need of employing more than one test for detecting every property of a time series. Hence, use of adequate number of tests for trend and homogeneity detection is justified for arriving at a right conclusion. The pros and cons of employed trend and homogeneity tests are discussed. Findings of study revealed that rainfall in this traditionally water-short arid region has been rising over recent years, and therefore, there is a need to develop suitable strategies and feasible policies to conserve and harvest surplus rainwater and manage it sustainably. Moreover, limitations, future challenges and recommendations in field of hydrologic time series analysis are discussed." @default.
- W4312901069 created "2023-01-05" @default.
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- W4312901069 date "2022-01-01" @default.
- W4312901069 modified "2023-10-18" @default.
- W4312901069 title "Overview of trend and homogeneity tests and their application to rainfall time series" @default.
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- W4312901069 doi "https://doi.org/10.1016/b978-0-323-91910-4.00034-0" @default.
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