Rasionalisasi Jaringan Pos Hujan dan Pos Duga Air Dengan Metode Stepwise dan Standar WMO (World Metrological Organization) di DAS Opak
Keywords:
pos hujan, pos duga air, standar WMO, metode stepwiseAbstract
In the construction of a hydraulic structure, the accuracy hydrological basic data are needed from an the accuracy hydrological post network. The rationalization of the network of rainfall recorder and water level recorder using a stepwise method and the WMO standard. It was carried out in the Opak Watershed using annual rainfall data for 10 years as an independent variable and annual discharge data for 10 years as a dependent variable. By using the WMO standard, it can be seen the need for the number of stations in the Opak Watershed based on the characteristics of the type of area. Meanwhile the stepwise method can find out the recommendations for the rain station by looking at the correlation coefficient between the rain station and the water level recorder. Based on the result of rationalization analysis, the combination of the best regression models from the network of rain recorder has a good correlation coefficient with the water level recorder. There are 10 posts with a correlation coefficient of 1.00, namely rain posts Tanjung Tirto (X12), Santan (X6), Prumpung (X9),Terong (X13), Karang Ploso (X11), Bronggang (X3), Plataran (X10), Kedungkeris (X5), Pundong (X8) dan Gedangan Karangmojo (X4).
Dalam pembangunan bangunan keairan, membutuhkan data dasar hidrologi yang akurat yang berasal dari jaringan pos hidrologi yang akurat. Rasionalisasi jaringan pos hujan dan pos duga air dengan metode Stepwise dan standar WMO dilaksanakan di DAS Opak dengan menggunakan data hujan tahunan selama 10 tahun sebagai variabel bebas, dan data debit tahunan selama 10 tahun sebagai variabel terikat. Dengan menggunakan standar WMO, dapat diketahui kebutuhan dari jumlah stasiun di DAS Opak berdasarkan karakteristik jenis daerah. Sedangkan dengan metode stepwise dapat mengetahui rekomendasi pos hujan dengan melihat koefisien korelasi pos hujan dengan pos duga airnya. Berdasarkan hasil dari analisa rasionalisasi tersebut, didapatkan hasil kombinasi model regresi terbaik dari pos hujan yang memiliki koefisien korelasi baik dengan pos duga air. Terdapat 10 pos hujan dengan koefisien korelasi sebesar 1,00, yaitu pos hujan Tanjung Tirto (X12), Santan (X6), Prumpung (X9),Terong (X13), Karang Ploso (X11), Bronggang (X3), Plataran (X10), Kedungkeris (X5), Pundong (X8) dan Gedangan Karangmojo (X4).
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