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首页> 外文会议>2nd International Conference on Silting Problems in Hydropower Plants Sep 26-28, 2001 Bangkok, Thailand >REMOTE SENSING DATA MODEL FOR ESTIMATING SEDIMENT DELIVERY RATIO
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REMOTE SENSING DATA MODEL FOR ESTIMATING SEDIMENT DELIVERY RATIO

机译：估算沉积物输送比的遥感数据模型

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摘要

The ratio of sediment yields and gross-erosion is known as sediment delivery ratio (SDR). Knowledge of this ratio is important for optimal planning and design of may water resources developmental activities. In the present study, a remotely sensed data model has been proposed to estimate the SDR using the sediment routing approach. The gross soil erosion has been calculated using Universal Soil Loss Equation (USLE). Synergistic use of satellite data product, insitu observations and laboratory experimentation has been made to assess the various parameters needed to estimate the SDR. The study revealed that remote sensing techniques can provide many of the data required for the study. In general SDR for the Siwalik watersheds are more than 1.0. higher values are associated with the areas having landslides, rockslides and unstable steep slopes. The proposed model accounts for about 90% variation of the data. Input to the model can be easily extracted from remotely sensed data. The approach presented can be extended to other areas. It is expected that model will go a long way in planning and design of hydroelectric project.
机译：沉积物产量与总侵蚀量之比称为沉积物输送比（SDR）。了解该比率对于优化水资源开发活动的规划和设计很重要。在本研究中，提出了一种遥感数据模型，以使用沉积物路由方法估算SDR。使用通用土壤流失方程（USLE）计算了总土壤侵蚀。已经协同使用卫星数据产品，实地观测和实验室实验来评估估计SDR所需的各种参数。该研究表明，遥感技术可以提供研究所需的许多数据。通常，Siwalik流域的SDR大于1.0。较高的值与具有滑坡，岩石滑坡和不稳定的陡坡的地区有关。提出的模型约占数据变化的90％。可以从遥感数据中轻松提取模型的输入。提出的方法可以扩展到其他领域。预计该模型将在水电项目的规划和设计中大有帮助。

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