Estimasi Laju Erosi Menggunakan Metode Revised Universal Soil Loss Equations (RUSLE) di Das Brantas (Wilayah Administrasi Kota Surabaya

Sianturi, Ignatius Bennito (2024) Estimasi Laju Erosi Menggunakan Metode Revised Universal Soil Loss Equations (RUSLE) di Das Brantas (Wilayah Administrasi Kota Surabaya. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 03311940000102-Udergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 March 2026. Download (5MB) | Request a copy

Abstract

Erosi merupakan peristiwa pergerakan muka tanah yang disebabkan oleh terjadinya perpindahan muka tanah yang dipengaruhi oleh beberapa faktor, yaitu: air, angin, gravitasi, dan glasier. Perpindahan muka tanah ini dapat dihitung besarnya dalam nilai laju erosi. Permodelan nilai laju erosi yang umum digunakan memang terbatas memodelkan nilai laju erosi yang disebabkan oleh air seperti erosi lembaran, erosi parit, dan beberapa erosi lainnya. Laju erosi yang tinggi dan tidak terkontrol dapat menyebabkan hilangnya kesuburan tanah dan penumpukan sedimen tebal yang tebal pada aliran Sungai dan kali di mana pada akhirnya hal ini akan menyebabkan bencana seperti banjir. Pada penelitian ini telah dilakukan perhitungan laju erosi menggunakan metode RUSLE (Revised Universal Soil Loss Equation) di DAS Brantas (Batas Administrasi Kota Surabaya) dengan menggunakan beberapa data berupa curah hujan Kota Surabaya tahun 2022 selama 12 bulan, citra satelit Sentinel 2A, kelerengan yang didapatkan dari DEMNAS, dan tekstur tanah. Pengolahan terhadap 4 data di atas menghasilkan 5 parameter yaitu faktor erosivitas (R), faktor erodibilitas (K), faktor kelerengan (LS), faktor kehijauan (C), dan faktor konservasi tanah (P). Dari perhitungan yang dilakukan didapatkan bahwa rata-rata laju erosi di DAS Brantas (Batas Administrasi Surabaya) adalah sebesar 32,714 ton/Ha/tahun. Jika mengacu pada klasifikasi KLHK terkait kelas bahaya erosi maka laju erosi di DAS Brantas (wilayah administrasi Kota Surabaya) masuk di kelas bahaya ringan.
===================================================================================================================================
Erosion is the event of soil surface movement caused by the displacement of the soil surface influenced by several factors, namely: water, wind, gravity, and glaciers. This soil surface displacement can be quantified in terms of the erosion rate value. The commonly used modeling of erosion rate values is indeed limited to modeling the rate of erosion caused by water, such as sheet erosion, gully erosion, and several other types of erosion. High and uncontrolled erosion rates can lead to the loss of soil fertility and the accumulation of thick sediment in rivers and streams, which ultimately can cause disasters such as floods. In this study, erosion rate calculations were performed using the RUSLE (Revised Universal Soil Loss Equation) method in the Brantas River Basin (Administrative Boundary of Surabaya City) using several types of data, including Surabaya City's rainfall for the year 2022 over 12 months, Sentinel 2A satellite imagery, slope obtained from DEMNAS, and soil texture. Processing of the above four data types resulted in five parameters: erosivity factor (R), erodibility factor (K), slope length factor (LS), cover management factor (C), and conservation practice factor (P). From the calculations performed, it was found that the average erosion rate in the Brantas River Basin (Administrative Boundary of Surabaya) is 32,714 tons/Ha/year. If referring to the classification of the Ministry of Environment and Forestry regarding erosion hazard classes, the erosion rate in the Brantas River Basin (administrative area of Surabaya City) falls into the “light” hazard class

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Erosi, Laju Erosi, RUSLE. Erosion, Soil Loss, RUSLE.
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems.
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Ignatius Bennito Sianturi
Date Deposited:	19 Feb 2024 07:53
Last Modified:	19 Feb 2024 07:53
URI:	http://repository.its.ac.id/id/eprint/107603

Actions (login required)

View Item