EVALUASI DAN ESTIMASI DATA CURAH HUJAN HARIAN BERBASIS SATELLITE CHIRPS (STUDI KASUS : KABUPATEN OGAN KOMERING ILIR, BANYUASIN, PAGAR ALAM DAN MUSI RAWAS PROVINSI SUMATERA SELATAN)

KHOYRIN, M. AFIF and Iryani, Sakura Yulia (2023) EVALUASI DAN ESTIMASI DATA CURAH HUJAN HARIAN BERBASIS SATELLITE CHIRPS (STUDI KASUS : KABUPATEN OGAN KOMERING ILIR, BANYUASIN, PAGAR ALAM DAN MUSI RAWAS PROVINSI SUMATERA SELATAN). Undergraduate thesis, Sriwijaya University.

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Abstract

The need for rainfall data is an important factor in the development sector. Limited rainfall data can hinder various analyses in the field of hydrology and water resources planning. One alternative for measuring rainfall is by using Satellite CHIRPS, which records only cloud activities and requires validation in its use. This study aims to determine the correction factor in Satellite CHIRPS rainfall data that can reduce errors so that Satellite CHIRPS rainfall data can approach the conditions of field rainfall measurements. The data used are daily rainfall data in 2020-2021 using four stations: Celikah Station (Ogan Komering Ilir Regency), Srikaton Station (Banyuasin Regency), Pagar Alam Station (Pagar Alam Regency), and Terawas Station (Musi Rawas Regency). Calibration of Satellite CHIRPS measurements was carried out by the trial and error method 37 times to determine the correction factor and reduce error values towards field measurements. Validation was carried out to determine the level of correlation between Satellite CHIRPS measurements and field measurements using four methods, namely NSE (Nash Sutcliffe Efficiency), MAE (Mean Absolute Error), RMSE (Root Mean Squared Error), and r (Correlation Coefficient) with results at the four stations used in sequence, for NSE values are 0.881 (good), 0.973 (good), 0.764 (good), and 0.673 (good); for MAE testing, they are 1.027; 0.616; 2.888 and 2.139; for RMSE testing, they are 2.79; 1.707; 4.411 and 3.916; and for correlation coefficient testing, they are 0.94 (very strong); 0.986 (very strong); 0.874 (very strong) and 0.821 (very strong). For rainfall data estimation, Satellite CHIRPS data in 2022, which has been calibrated, was used with the result that light rain conditions were the most frequent with the highest percentage at Celikah Station (58.6%), Srikaton Station (62.7%), Pagar Alam Station (63.6%), and Terawas Station (59.2%). Cloudy conditions also occur quite frequently, with the highest percentage at Celikah Station (29.3%), Srikaton Station (24.7%), Pagar Alam Station (24.1%), and Terawas Station (27.9%). Moderate and heavy rain conditions only occur with lower percentages, and there are no conditions very heavy and extreme rainfall.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Rainfall, Satellite CHIRPS, Validation, Calibration, and Estimation
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA174 Engineering design
T Technology > TC Hydraulic engineering. Ocean engineering > TC1-978 Hydraulic engineering
Divisions: 03-Faculty of Engineering > 22201-Civil Engineering (S1)
Depositing User: M.'Afif Khoyrin
Date Deposited: 03 Apr 2023 06:38
Last Modified: 03 Apr 2023 06:38
URI: http://repository.unsri.ac.id/id/eprint/92798

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