5 papers analyzed
These studies suggest that analyzing the temporal pattern of rainfall over a basin involves understanding average variability, spatial patterns, and trends, which are crucial for accurate flood estimation and development planning.
Understanding the temporal pattern of rainfall is crucial for effective flood estimation and water resource management. The following analysis synthesizes findings from multiple studies to provide a comprehensive overview of the temporal patterns of rainfall over various basins.
The study by highlights the importance of using frequency-duration relationships derived from recorded intense bursts of rainfall rather than complete storms. This method helps in minimizing joint probabilities in design flood models and aids in estimating floods with the same frequency as the design rainfall. The patterns incorporate average variability and the most likely sequence of intensities, providing a more accurate representation of rainfall events.
Research conducted in the Nile Basin assessed the spatiotemporal variability of annual and seasonal rainfall at 37 locations. The study identified three distinct groups based on long-term mean monthly rainfall and temporal variability. Significant linkages were found between rainfall patterns and various climate indices, such as Nino 3, Nino 3.4, and the North Atlantic Ocean and Indian Ocean drivers. This indicates that temporal variability in rainfall is influenced by global climatic factors.
The development of rainfall temporal patterns for the Kuantan River Basin utilized the Average Variability Method (AVM) recommended by the Australian Rainfall and Runoff guidelines. The study derived temporal patterns for various durations (15 minutes to 360 minutes) using 16 years of rainfall data. The results showed significant differences from existing regional values, emphasizing the need for basin-specific patterns for accurate flood estimation.
Similarly, the study on the Upper Klang Catchment derived temporal patterns for rainfall durations ranging from 10 minutes to 72 hours. Using over 30 years of pluviograph data, the study demonstrated the application of the Average Variability Method in deriving design rainfall temporal patterns. These patterns are essential for accurate flood estimations in the region.
The study on the Parambikulam Aliyar sub-basin in Tamil Nadu used the Mann-Kendall test and Sen's method to identify trends in annual and seasonal rainfall over 30 years. The findings revealed significant positive and negative trends at different stations, indicating varying rainfall patterns across the sub-basin. This information is vital for sustainable water resource management, particularly during flood and drought periods.
The temporal pattern of rainfall varies significantly across different basins and is influenced by both local and global climatic factors. Studies have demonstrated the importance of developing basin-specific temporal patterns for accurate flood estimation and water resource management. Understanding these patterns helps in designing effective flood control measures and sustainable planning for water resources.
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