首页> 外文会议>23rd Asian conference on remote sensing : Abstract book >SOIL EROSION MODELLING USING REMOTE SENSING AND GIS: A CASE STUDY OF JHIKHU KHOLA WATERSHED, NEPAL
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SOIL EROSION MODELLING USING REMOTE SENSING AND GIS: A CASE STUDY OF JHIKHU KHOLA WATERSHED, NEPAL

机译:基于遥感和GIS的土壤侵蚀模型研究-以尼泊尔吉克胡拉流域为例

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In the process of soil erosion, nutrients rich top fertile soil is lost and it also causes environmentalrnproblems due to siltation of lakes, reservoirs and rivers. Inventory on soil loss and prediction of soilrnerosion hazard is vital for effective soil conservation planning of a watershed for sustainablerndevelopment. Soil conservation is now a necessity in almost every country of the world under virtuallyrnevery type of land use.rnInformation obtained using remotely sensing techniques can help decision makers to prepare resourcernmap accurately in less time and cost. GIS, in other hand, helps in linking those maps with otherrninformation related to geographic location and helps modelling, analysing and solving complex problems.rnA case study describes and assesses soil erosion in a watershed belonging to the river Jhikhu Khola, inrnthe middle mountain region of Nepal. Using ERDAS Imagine and ILWIS software, a landuse map wasrngenerated from satellite imagery of the study area.rnFor the estimation of Soil loss by Morgan approach, the various factor maps like kinetic energy of rainfall,rnTop soil rooting depth, percentage rainfall contributing to permanent interception and stream flow, Croprncover management factor, Ratio of actual to potential evapotranspiration, Soil moisture storage capacityrnwere generated to get final output maps like Volume of overland flow; Rate of soil detachment byrnraindrop impact, Transport capacity of overland flow. Annual soil loss estimation is calculated byrncomparing two maps of soil detachment rate and transport capacity and taking the minimum value fromrnthem. Results provided by running a soil erosion model show that, rainfed agriculture is contributingrnmaximum soil losses, 32.5 t/ha/yr. The lower soil losses are recorded under forest cover (0.01 - 0.4rnt/ha/yr) and irrigated agricultural land (0.9 t/ha/yr). Average estimated annual soil loss of the study area isrn12.6 t/ha.
机译:在土壤侵蚀过程中,营养丰富的顶层肥沃土壤流失了,并且由于湖泊,水库和河流的淤积而造成了环境问题。土壤流失清单和土壤侵蚀危害的预测对于有效规划流域可持续发展的土壤保护至关重要。在几乎所有类型的土地利用下,几乎每个国家现在都必须进行土壤保护。使用遥感技术获得的信息可以帮助决策者以更少的时间和成本准确地准备资源图。另一方面,GIS有助于将这些地图与与地理位置相关的其他信息链接起来,并有助于对复杂问题进行建模,分析和解决。案例研究描述并评估了位于印度中部山区吉希霍拉河的一个流域的水土流失。尼泊尔使用ERDAS Imagine和ILWIS软件,从研究区域的卫星图像生成土地利用图。rn为了通过Morgan方法估算土壤流失,各种因素图如降雨的动能,rn顶生根深度,降雨百分比有助于永久拦截产生流量,Croprncover管理因子,实际蒸散量与潜在蒸散量之比,生成土壤水分存储量,以获取最终输出图,如陆地流量。雨滴影响下的土壤脱附率,陆流的输送能力。每年的土壤流失估算是通过比较两个土壤脱离速率和运输能力图并取其中的最小值来计算的。通过运行土壤侵蚀模型提供的结果表明,雨养农业造成的最大土壤损失为32.5吨/公顷/年。较低的土壤流失记录在森林覆盖率(0.01-0.4rnt / ha / yr)和灌溉农田(0.9 t / ha / yr)下。研究区的平均估计年土壤流失量为12.6吨/公顷。

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