CD Skripsi
Analisis Pola Sebaran Stasiun Hujan Menggunakan Metode Kagan-Rodda Di Pulau Bengkalis
The clarity and accuracy of rainfall analysis in a region greatly depend on the distribution and the ideal number of rain gauge stations. This research examines the density of existing rain gauge stations based on the World Meteorological Organization (WMO) standards and rationalizes the number and distribution patterns of rain gauge stations using the Kagan-Rodda method. This method analyzes variations in error levels within the context of Bengkalis Island, a small archipelagic region with an area of 911 km². The study utilizes satellite rainfall data from the Global Precipitation Measurement (GPM) and data from a single surface rain gauge station to analyze four variations in the side lengths of the Kagan-Rodda triangles. By maintaining the existing rain gauge station, this research produces four alternative numbers and distribution patterns for rain gauge stations using the Z1 value standard below 5% and considering WMO standards. The analysis results show a coefficient of variation (Cv) of 0.092, r(0) of 0.478, and d(0) of 156.25 km from daily rainfall data. Additionally, the r(0) from satellite rainfall data is 0.593 with a d(0) of 109.89 km. Three out of the four alternatives meet the WMO recommendations regarding the area of influence per station using the Thiessen Polygon method. This study highlights the importance of utilizing GPM satellite data for rainfall calculations, especially in regions with limited rain gauge stations. Therefore, the findings of this research can serve as a foundation for better infrastructure planning, such as flood control, and support sustainable water resource management on Bengkalis Island.
Keywords: WMO, GPM, Kagan-Rodda.
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