Overview of Trend and Homogeneity Tests and Understanding Rainfall Variability in a Hot Arid Region of India
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Title |
Overview of Trend and Homogeneity Tests and Understanding Rainfall Variability in a Hot Arid Region of India
Not Available |
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Creator |
Deepesh Machiwal
H.M. Meena D.V. Singh |
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Subject |
Arid region
Box-whisker plot Homogeneity testing Seasonal and annual rainfall Trend identification Trend quantification |
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Description |
Not Available
This chapter provides an overview of the parametric and non-parametric statistical tests used for investigating the homogeneity and the trend in hydrological variables with a focus on the Mann-Kendall (M-K) test and innovative trend analysis (ITA) method. Modifications suggested in both the M-K and ITA tests are also briefly discussed. Furthermore, a case study is presented where the seasonal (monsoon, post-monsoon, winter and pre-monsoon) and annual rainfall of a hot arid region of India are examined for the presence of trends using two tests, i.e., variance-corrected M-K test and ITA test and for the homogeneity using four tests, i.e., Tukey, Link-Wallace, Bartlett, and Hartley tests. The M-K test depicts positive (increasing) trends at 90 and 87% sites in the monsoon and annual rainfall, respectively, and statistically significant trends at 4 sites (p Not Available |
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Date |
2022-11-14T09:03:58Z
2022-11-14T09:03:58Z 2022-10-21 |
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Type |
Book chapter
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Identifier |
Machiwal, D., Meena, H.M. and Singh, D.V. (2022). Overview of Trend and Homogeneity Tests and Understanding Rainfall Variability in a Hot Arid Region of India. In: Zakwan, M., Wahid, A., Niazkar, M. and Chatterjee, U. (Editors), Water Resource Modeling and Computational Technologies, Elsevier, pp. 599-620.
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/75097 |
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Language |
English
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Relation |
Not Available;
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Publisher |
Elsevier
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