Estimation of Erosion and Sediment using Gavrilović Method in Krueng Jreu Sub-basin, Aceh Province, Indonesia

I. Ramli, D. Devianti, Intan Aryani, Purwana Satrio, Dewi SARTİKA THAMREN2
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Abstract

Erosion and sediment in a basin can be estimated by calculating and forecasting using various methods. This study aims to assess erosion and sedimentation in the Krueng Jreu sub-basin in the province of Aceh, Indonesia, using the Gavrilović method. This research was carried out by analyzing secondary data for the last ten years, from 2012 to 2021. Data include geology, slope, land use, and river channel networks. The observed parameters include the coefficient of intensity of erosion, temperature coefficient, and sedimentation coefficient, which are used to analyze the erosion volume, spatial sediment rate, and total sediment rate in the Krueng Jreu sub-basin area. The results of calculations using the Gavrilović method show that four main parameters of the biophysical characteristics of the sub-basin, including (1) sensitivity of soil and local geological conditions to erosion, (2) land use, (3) erosion type, and (4) slope of land, have been shown to affect the occurrence of erosion and annual sediment rates. Geological conditions and land use provide a high level of sensitivity to the results of the coefficient of intensity of erosion. Temperature and rainfall are directly proportional to the annual erosion volume and the spatial sediment rate. The lowest yearly erosion volume and spatial sediment rate in 2019 were 64965.41 m3km-2year-1 and 58206.18 m3km-2year-1. Meanwhile, the highest annual erosion volume and spatial sediment rate will occur in 2021, 101500.71 m3km-2year-1 and 90940.21 m3km-2year-1. Fluctuations in the annual volume of erosion are caused by rainfall, affecting the spatial sediment rate and the total sediment rate.
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印度尼西亚亚齐省Krueng Jreu子流域侵蚀沙量的gavriloviki法估算
通过各种方法的计算和预测,可以估计流域的侵蚀和泥沙。本研究旨在利用gavriloviki方法评估印度尼西亚亚齐省Krueng Jreu子盆地的侵蚀和沉积。这项研究是通过分析2012年至2021年过去十年的二手数据进行的。数据包括地质、坡度、土地利用和河道网络。观测参数包括侵蚀强度系数、温度系数和沉积系数,用于分析克鲁仁次流域的侵蚀体积、空间沙率和总沙率。利用加夫里洛维奇方法计算的结果表明,该子流域生物物理特征的四个主要参数(1)土壤和当地地质条件对侵蚀的敏感性,(2)土地利用,(3)侵蚀类型,(4)土地坡度)影响侵蚀发生和年泥沙速率。地质条件和土地利用对侵蚀强度系数的结果具有高度敏感性。温度和降雨量与年侵蚀量和空间泥沙速率成正比。2019年侵蚀量和空间沙率最低,分别为64965.41 m3km-2year-1和58206.18 m3km-2year-1。年侵蚀量和空间沙率最高的年份是2021年,分别为101500.71 m3km-2year-1和90940.21 m3km-2year-1。年侵蚀量的波动是由降雨引起的,影响空间输沙率和总输沙率。
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