Penilaian Semula Nilai Indeks Hakisan Hujan (R) Dalam Model Usle Dengan Menggunakan Sistem Maklumat Geografi

Omar, Mohamad Nazuhan (2015) Penilaian Semula Nilai Indeks Hakisan Hujan (R) Dalam Model Usle Dengan Menggunakan Sistem Maklumat Geografi. Masters thesis, Perpustakaan Hamzah Sendut.

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Abstract

Soil erosion is a serious problem and it needed to be addressed. There are various methods used to estimate soil erosion and among them is the universal soil loss equation (usle). An r factor refers to the soil erosion process influences by the rain. In the usle model, there are several calculating methods of r factor, such as the method proposed by roose (1975). This study was conducted to estimate the usle soil erosion using the values proposed by roose, to test the accuracy of the r factor variables of usle model specified by roose (1975) that is 0.5p and to reevaluate the compatibility of the r factor. This study was conducted in lembangan sungai pelarit hulu and lembangan sungai jarum by using the annual rainfall data from 2001 to 2007. The data was analyzed using a geographic information system (gis). Results from previous studies recorded the highest observation data with a record of 13,249.61 tons/year 2001 and the lowest observed data of 3,573.95 tons/year 2006. Roose calculation methods shows the highest difference of soil loss estimated by 377.77% and the differences closest to the observed data is 28.84%. Results of the arithmetic method 0.185p x 1.73 provides a better estimated of soil loss with the highest percentage differences of 101.77% and the percentage closest to the observed data is 0.91%. The new value of r factor of 0.185p is better than 0.5p because it gives a better estimation of soil loss and it is more suitable to be applied in the study basin and malaysia.

Item Type: Thesis (Masters)
Subjects: P Language and Literature > P Philology. Linguistics > P1-1091 Philology. Linguistics(General)
Divisions: Pusat Pengajian Ilmu Kemanusiaan (School of Humanities) > Thesis
Depositing User: Mr Hasmizar Mansor
Date Deposited: 27 Oct 2025 07:43
Last Modified: 27 Oct 2025 07:43
URI: http://eprints.usm.my/id/eprint/63087

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