CD Skripsi

Evaluasi Curah Hujan Gpm Dan Gsmap Dengan Curah Hujan Permukaan Stasiun Bunga Raya Das Siak

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Rainfall measurements at each observation station produce rainfall data point rain is considered to represent the rainfall of a certain radius. Establishment costs, operational costs and difficult natural conditions mean that the limited availability of rain measuring stations in many areas is the main obstacle in providing spatially reliable rainfall data. Supporting instruments that can provide a better picture of rain distribution and support forecast accuracy, one of which is satellite. The satellites that are supporting instruments in this research are the GPM and GSMaP satellites. Satellite rain data was tested at Bunga Raya Station in Siak Regency. The evaluation carried out was the relationship between satellite rainfall data and surface rainfall data using statistical tests, namely, correlation coefficient (r), RMSE, MAE, and the Mann Whitney test as well as correcting simple linear equations. using the Stepwise Regression method. The results of the correlation coefficient value for rainfall data from Bunga Raya Station with the GPM satellite are daily = 0.986 and monthly = 0.971 and the comparison value for Bunga Raya Station data with the GSMaP satellite is daily = 0.992, and monthly = 0.986 using the Weibull distribution. After correction, the daily and monthly GPM and GSMAP correlation coefficient is = 1. The resulting value shows an increased correlation coefficient, and the error value indicated by GPM and GSMaP rainfall decreases, the value is 1 (classified as strong) or more than 0.6 so that the data rain correction can be used. An alternative for collecting satellite rainfall data that is good for use in the Bunga Raya Station area is the GSMaP satellite, because the correlation coefficient value of the GSMaP satellite is very strong and the M4E value and RMSE value on GSMaP tends to be smaller than GPM.

Keywords: Surface rainfall, GPM, GSMaP, Satellite Rain

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1907110725

Penerbit

Pekanbaru : Universitas Riau - F. Teknik - Teknik Sipil., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1907110725

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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