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Cost Analysis of Additional Rainfall Station in The Kayan River Area, North Kalimantan Province Fadzil Abdillah; Hanie Teki Tjendani; Esti Wulandari
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 10 (2026): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i10.606

Abstract

With a total area of the Kayan River Basin (WS) reaching 3,178,215.72 hectares, when compared to other River Basins in Kalimantan, the Kayan WS only has seven rain gauge stations, of which six are in good condition and one is damaged or inactive. Therefore, it is important to determine the appropriate rationalization method in order to obtain the appropriate number and distribution of rain gauge stations and can represent the characteristics of the area in the Kayan River Basin. The method used to analyze the rationalization of these rain gauge stations includes determining the maximum need, minimum need, and the Kagan-Rodda method. After evaluating several methods, the most suitable method for rationalizing rain stations in the Kayan WS is the Kagan-Rodda method. The results of the evaluation of the need for rain stations in the Kayan River Basin are 33 (thirty-three) stations, the existing rain stations are 6 (six) stations, the need for the addition of 27 (twenty-seven) new rain stations.
Analysis of The Rationalization of Rainfall Stations in The Kayan River Basin, North Kalimantan Province Fadzil Abdillah; Hanie Teki Tjendani; Esti Wulandari
Jurnal Teknik Indonesia Vol. 5 No. 3 (2026): Jurnal Teknik Indonesia
Publisher : Publica Scientific Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58860/jti.v5i3.923

Abstract

The Kayan River Basin (Wilayah Sungai [WS]) covers an area of 3,178,215.72 hectares, making it one of the largest river basins in Kalimantan. However, compared with other river basins in the region, the Kayan WS currently has only seven rainfall stations, of which six are operational and one is damaged or inactive. This limited observation network is insufficient to represent the highly heterogeneous spatial distribution of rainfall across the basin, which extends from mountainous upstream areas with high precipitation to lowland coastal regions. Therefore, this study aims to determine the most appropriate rationalization method for identifying the optimal number and spatial distribution of rainfall stations capable of adequately representing rainfall variability within the Kayan River Basin. Three approaches were evaluated for rainfall station rationalization: the maximum requirement method, the minimum requirement method, and the Kagan–Rodda method. The results indicate that the Kagan–Rodda method is the most suitable approach for rationalizing the rainfall station network in the Kayan WS. Based on this method, the basin requires a total of 33 rainfall stations. Given that only six operational stations currently exist, an additional 27 rainfall stations are required to establish an optimal monitoring network.