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The Spatial Information System to Predict Regional Debris Flow

机译:预测区域碎片流动的空间信息系统

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Applied remote sensing and GIS, a spatial information system to predict regional debris flow has been established for Lower Jinshajiang River Basin (called as MFPIS). The key points of the prediction information system are: first, using remote sensing, to investigate the debris flows and their geologic and geomorphic conditions in the whole region, and to judge the danger-degree of debris flow of each small sub-region; second, to study the correlativity of rain-triggered factors and danger-degree with the occurrence of debris flow; third, using GIS, to convert the continuous hydrometeoric information, such as precipitation, evaporation and rain forecast, into the rain-trigger indexes for each small sub-region, and to integrate them with danger-degree of each sub-region. It forms a dynamic spatial information system, to predict the debris flow in each sub-region. In MFPIS, the "debris flow occurring index" Id is suggested to predict debris flow directly. The trial operation of MFPIS shows that the occurrences of debris flow are correlated to Id closely. It also shows that the remote sensing investigation and the judgment of the danger-degree of debris flow are the basis of the prediction; to forecast the rainstorm center accurately is the key of the accurate prediction of debris flow.
机译:应用遥感和GIS,为降低金沙江流域(称为MFPI),已经建立了一种预测区域碎片流动的空间信息系统。预测信息系统的关键点是:首先,使用遥感,研究整个地区的碎片流动及其地质和地貌条件,并判断每个小次区域的碎屑流动程度;其次,研究雨触发因子的相关性和危险程度随碎片流动的发生;第三,使用GIS,将连续的水力学信息(如降水,蒸发和雨)转换为每个小子区域的雨触发指数,并将它们与每个子区域的危险相结合。它形成动态空间信息系统,以预测每个子区域中的碎屑流动。在MFPI中,建议直接预测碎片流动的“碎片流动索引”ID。 MFPI的试验操作表明,碎片流量的发生与ID密切相关。它还表明,遥感调查和对碎片流量危险程度的判断是预测的基础;预测暴雨中心准确的是准确预测碎片流动的关键。

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