基于遥感和地理信息系统的林都哈地小流域侵蚀危害程度分析

Prayogi Dhuha Brahmanto, B. Sulistyo, M. Barchia
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引用次数: 1

摘要

Rindu Hati子流域位于Bengkulu省中部的Bengkulu地区,该地区地势平坦,直到山地地形,坡度各异,年降雨量高达4,032毫米,这可能导致侵蚀。基于通用水土流失方程公式,利用遥感影像数据,应用GIS技术,对林都哈蒂小流域的土壤侵蚀进行了分析。USLE方法采用5个参数,即长度和坡度因子、降雨侵蚀力因子、作物经营因子和土地保护因子、土壤可蚀性因子。进行了覆盖层分析以获得侵蚀。然后,将结果与土壤深度图叠加,得到侵蚀危害等级,分为:极轻、轻、中等、严重和非常严重。结果表明:总体侵蚀量为12,410,650.59 tha -1 -1,其侵蚀危害程度较轻(15 tha -1 -1),覆盖面积为2,983 ha,分布在社区农业区和林区;轻度侵蚀率最大(> 15-60 tha -1 -1),覆盖面积为10,410.05 ha,分散在地势平坦的人工林区;中度侵蚀率(> 60-180吨/公顷-1年-1)分布在灌木土地利用和地形相对平坦的土地上,为1317.33公顷;重度侵蚀率(> 180- 480吨/公顷-1年-1)分布在灌木土地利用但地形丘陵和非常严重侵蚀率(> 480吨/公顷-1年-1)的土地上,为1735.48公顷,位于矿区。侵蚀潜力率制图将有助于确定研究区域良好和适当的土地管理和保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the Level of Erosion Hazard By Using Remote Sensing and Geographic Information System in the Sub-Watershed of Rindu Hati
Rindu Hati sub-watershed is located in District of Central Bengkulu, Bengkulu Province, that has flat until montainous topography with various slope and annual rainfall up to 4,032 mm year-1 which possible causes erosion. This research was aimed to analyze soil erosion at Rindu Hati sub-watershed based on the Universal Soil Loss Equation formula, using remote sensing imagery data and by applying GIS technique. USLE method were uses five parameters, those were length and slope factor, rainfall erosivity factor, crop management factor and land conservation , and soil erodibility factor. An overlay analysis has been conducted to obtain the erosion. Then, the result is overlaid with soil depth map to get the level of erosion hazard, which is classified into: very light, light, moderate, heavily, and very heavily. The results showed that the total erosion was 12,410,650.59 tons ha-1 year-1, while its level of erosion hazard were very light (15 tons ha-1 year-1) covering an area of 2,983 ha spreading over community agricultural areas and forest areas, the rate of light erosion (> 15-60 tons ha-1 year-1) has the largest area of covering an area of 10,410.05 ha which scattered in plantation areas having flat topography, moderate erosion rates (> 60-180 tons ha-1 year-1) of 1,317.33 ha spread over land areas with shrub land use and relatively flat topography, heavily erosion rates (> 180- 480 tons ha-1 year-1) covering 1,735.48 ha spread over land with shrub land use but has a hilly topography and very heavily erosion rates (> 480 tons ha-1 year-1) covering 2,700.42 ha located in the mining area. Erosion potential rate mapping will be very helpful in determining good and appropirate land management and conservation in the study area. 
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