A regional hourly maximum rainfall extraction method for part of Upper Blue Nile Basin, Ethiopia

Alem, Animut M.; Tilahun, Seifu A.; Moges, Mamaru A.; Melesse, Assefa M.

doi:10.1016/b978-0-12-815998-9.00009-9

Cited by 8 publications

(2 citation statements)

References 8 publications

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“…The supervised cluster algorithm approach, K-means, is applied to identify homogeneous regions across Taiwan. The K-mean clustering technique is chosen owing to its successful application in other rainfall regionalization studies [22,[36][37]. In the K-means method, each cluster is represented by its centroid, which is the mean (weighted or unweighted average) of feature vectors within the cluster.…”

Section: K-means Clusteringmentioning

confidence: 99%

Spatial Frequency Analysis by Adopting Regional Analysis with Radar Rainfall in Taiwan

Chang¹,

Rahmad²,

Wu³

et al. 2022

Preprint

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This study proposed a spatially and temporally improving methodology adopting the Regional Frequency Analysis with L-moments approach to estimate rainfall quantiles from 22787 grids of radar rainfall in Taiwan for a 24-hour duration. Due to limited radar coverage in the eastern region, significant discordant grids were found in the coastal area of the eastern region. A K-means cluster analysis using scaled at-site characteristics was used to group the QPESUMS grids in Taiwan into 22 clusters/sub-regions based on their characteristics. Spatially, homogeneous subregions with QPESUMS data produce more detailed homogeneous subregions with clear and continuous boundaries, especially in the mountain range area where the number of rain stations is still very limited. According to the results of z-values and L-moment ratio diagrams, the Wakeby (WAK), Generalized Extreme Value (GEV), and Generalized Pareto (GPA) distributions of rainfall extremes fitted well for the majority of subregions. The Wakeby distribution was the dominant best-fitted distribution, especially in the central and eastern regions. The east of the northern part and southern part of Taiwan had the highest extreme rainfall for each return period. Both areas were frequently struck by typhoons. By using grid-based (at-site) as the basis for assessing regional frequency analysis, the results show that the regional approach in determining extreme rainfall is very suitable for large-scale applications and even better for smaller scales such as watershed areas. The spatial investigation was performed by establishing regions of interest in small subregions across the northern part. It showed that regionalization was correct and consistent.

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Section: K-means Clusteringmentioning

confidence: 99%

Spatial Frequency Analysis by Adopting Regional Analysis with Radar Rainfall in Taiwan

Chang¹,

Rahmad²,

Wu³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Statistical regionalization is usually carried out by identifying homogeneous regions (HRs), where some theoretical moments are assumed as constant, while others can be expressed as functions of specific geomorphic covariates [35]. HRs are often identified by adopting: (1) geographical or administrative criteria; (2) cluster analysis [36][37][38][39]; or (3) artificial intelligence techniques [40]. Moreover, approaches that do not define fixed-boundary regions [41][42][43][44] are receiving increasing attention [45][46][47].…”

Section: Introductionmentioning

confidence: 99%

Two-Parameter Probability Distributions: Methods, Techniques and Comparative Analysis

Anghel,

Stanca,

Ilinca

2023

Water

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Considering the wide applicability of two-parameter distributions in the frequency analysis of extreme events, this article presents new elements regarding the use of thirteen two-parameter probability distributions, using three parameter estimation methods. All the necessary elements for the application of these distributions are presented using the method of ordinary moments (MOM), the method of linear moments (L-moments) and the method of high order linear moments (LH-moments). Only these three methods are analyzed, because they are usually applied in the analysis regarding the regionalization of extreme events. As a case study, the frequency analysis of the maximum annual flows on the Siret River, Lungoci station, Romania, was made. For the recommended methods (L- and LH-moments), from the thirteen analyzed distributions, the log-normal distribution had the best results, with the theoretical values L-coefficient of variation and L-kurtosis (0.297, 0.192, 0.323, 0.185, 0.336, and 0.185) best approximating the corresponding values of the recorded data (0.339, 0.185, 0.233, 0.199, 0.198, and 0.205).

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Regionalization of Multiplicative Random Cascade Model Parameter for Awash River Basin, Ethiopia

Dabesa,

Tripathi

2023

Climate Change Impact on Water Resources

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A regional hourly maximum rainfall extraction method for part of Upper Blue Nile Basin, Ethiopia

Cited by 8 publications

References 8 publications

Spatial Frequency Analysis by Adopting Regional Analysis with Radar Rainfall in Taiwan

Spatial Frequency Analysis by Adopting Regional Analysis with Radar Rainfall in Taiwan

Two-Parameter Probability Distributions: Methods, Techniques and Comparative Analysis

Regionalization of Multiplicative Random Cascade Model Parameter for Awash River Basin, Ethiopia

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