Saadi, Yusron and Pradjoko, Eko and Mardiana, Sus (2022) Soil erosion prediction and risk assessment using RUSLE model and GIS techniques in Nangka watershed. Journal of Water and Land Development, 55 (X-XII). pp. 185-191. ISSN PL-ISSN 1429-7426, e-ISSN 2083-4535
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Abstract
Soil erosion in Nangka watershed has always been a matter of concern. Over the last decade soil erosion has led to the continuous environmental problems. A thorough examination to the extent of the problem was required to identify an appropriate soil conservation strategy within the watershed. This study was conducted to observe erosion rates and map out the erosion hazard level. Erosion predictions were analyzed by using the Revised Universal Soil Loss Equation (RUSLE) model with the help of ArcGIS software. RUSLE was selected because of its quantitative ability to estimate average annual soil erosion and its compatibility with GIS interface. The potential hazard of soil erosion was classified and ranked into five class category as set by national authority. The results reveal that Nangka watershed is prone to soil erosion with the annual average values ranging from 1.330 tonnes ha-1 yr-1 to 2472.290 tonnes ha-1 yr-1. High soil erosion rates of 9.800% are in severe (Class IV) and very severe (Class V) condition, primarily in the upper course of the watershed. Low annual average of soil erosion (Class I and Class II), which accounted 75.950% of the total erosion, mostly took place in the steepness below 35%. The remaining area of 14.250% within the watershed is in a moderate condition (Class III). It is expected that the results of this study help the authority in the implementation of soil conservation measures.
| Item Type: | Article |
|---|---|
| Keywords (Kata Kunci): | Soil erosion, watershed, erosion hazard level, RUSLE, conservation measures |
| Subjects: | T Technology > TC Hydraulic engineering. Ocean engineering |
| Divisions: | Fakultas Teknik |
| Depositing User: | Yusron Saadi |
| Date Deposited: | 12 Jun 2023 23:27 |
| Last Modified: | 12 Jun 2023 23:27 |
| URI: | http://eprints.unram.ac.id/id/eprint/39736 |
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