Spatio-Temporal Rainfall Variability Analysis, Case Study: KSA
SpatioTemporal Rainfall Variability Analysis, Case Study: KSA
|© 2021 by IJETT Journal|
|Year of Publication : 2021|
|Authors : Salma M. Elsherif, Alaa El-Zawahry, ahmed H. Soliman
|DOI : 10.14445/22315381/IJETT-V69I12P216|
How to Cite?
Salma M. Elsherif, Alaa El-Zawahry, ahmed H. Soliman, "SpatioTemporal Rainfall Variability Analysis, Case Study: KSA," International Journal of Engineering Trends and Technology, vol. 69, no. 12, pp. 136-143, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I12P216
Rainfall amount and distribution are varied spatially and temporally all over the world. Moreover, the rainfall variability may significantly vary within the same local region. Identification of rainfall amount and pattern is one of the main challenges facing all hydrologic analysts. Several approaches are available nowadays to deal with the variability of data sets. Some of these approaches can be simply applied, while others are more complicated and maybe not appropriate to be used to handle rainfall variability. So, this paper is devoted to presenting a comprehensive framework of rainfall variability analysis and handling to be followed. The framework is built by combining the K-means approach with some newly developed techniques as part of this research to enhance the results of the current approaches and convert them to be more dynamic. The built framework is tested using rainfall data collected from more than 280 rainfall gauges distributed all over the Kingdom of Saudi Arabia, which has high diversity with no defined pattern, neither spatially nor temporal. The testing results confirmed that the framework is a very powerful tool and gives robust results.
K-means, KSA Rainfall, Rainfall Variability, Spatial Clustering, Two-Step Clustering.
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