CD Skripsi

Evaluasi Data Curah Hujan Satelit Gpm (Global Precipitation Measurement) Terhadap Data Curah Hujan Stasiun Petapahan

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ABSTRACT
Rainfall data plays an important role in predicting flood risk and drought. Due to the high cost of establishing and operating rainfall observation stations and the difficult topography of mountainous areas, the number of rain observation stations is limited. Rainfall measurements at each observation station are point rainfall data. The GPM (Global Precipitation Measurement) satellite launched by NASA and JAXA provides satellite rainfall data that can be tested against surface station rainfall data such as Petapahan Station. This study evaluates the relationship between satellite rainfall data and surface rainfall data using statistical tests such as correlation coefficient (r), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mann Whitney test, and Coefficient of Determination (R2), as well as stepwise regression.The results of the evaluation are the daily and monthly rainfall r values at Petapahan Station of 0.004 and 0.16. After the rain data is corrected by using the daily rain data correction equation, namely RPTP = -1.8623 + 1.23993 RGPM, after correction of the rain data, the RMSE and MAE values become smaller, although when correlated with surface rain data with correction rain data, the r value is

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1907113188

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Sipil., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1907113188

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

DAUS

Versi lain/terkait

Lampiran Berkas

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