CD Skripsi

Analisis Penggunaan Data Hujan Satelit Global Precipitation Measurement (Gpm) Sebagai Input Model Mock Dan Rainrun Di Daerah Aliran Sungai Mesjid Kota Dumai

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The use of clean water is a fundamental necessity for the population in Indonesia, where clean water is utilized for drinking, hydrology, irrigation, and various other purposes. Consequently, it plays a crucial role in the periodic infrastructure provision of clean water. One of the sources of water on Earth is derived from rainfall. In the planning of the development of existing water resources, field discharge data is required. Field data available includes rainfall data, climatological data, and water level data. However, due to data limitations, the accuracy of data becomes a challenge in analyzing a hydrological model. Therefore, it is deemed necessary to utilize satellite rainfall data as an alternative to surface rainfall data for hydrological modeling. In this case, rainfall data from the Global Precipitation Measurement (GPM) satellite is employed. In the modeling of rainfall-runoff transformation, the mock and rainrun models are utilized. From the testing results, the Coefficient of Correlation (R) values have an average criterion that is very low for both the Mock and Rainrun models. For the Nash-Sutcliffe Coefficient (NSE) in the Mock model, the values are scheme 1 = 0.506, scheme 2 = 0.555, scheme 3 = 0.578, and scheme 4 = 0.431, meeting the criteria on average. For the Nash-Sutcliffe Coefficient (NSE) in the Rainrun model, the values are scheme 1 = 0.505, scheme 2 = 0.582, scheme 3 = 0.506, and scheme 4 = 0.501, meeting the criteria on average.

Keywords: Rainfall; GPM; Mock; Rainrun; Transformation

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1907124065

Penerbit

Pekanbaru : Universitas Riau - TEKNIK - Teknik Sipil., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1907124065

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK SIPIL

Info Detail Spesifik

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Pernyataan Tanggungjawab

Vina

Versi lain/terkait

Lampiran Berkas

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