基于复合信息的流域特征提取研究
首发时间:2006-05-15
摘要:信息技术的发展为水文科学提供了新的机遇和挑战,从地理信息中,尤其是从DEM中提取水文模拟所需要的流域特征曾一度成为研究热点。但由于DEM本身的分辨率和信息量有限,仅以其为数据源提取出的流域特征往往与自然情况存在较大差异,直接影响着以虚拟河网为基础的分布式水文模拟。本文在DEM的基础之上迭加了自然水系的位置信息作为流域特征提取的限制条件提取流域特征,与引入自然水系前所提取的流域特征进行了对比,发现在自然水系位置的约束下提取流域特征,不仅可以纠正DEM生成过程中引入的较大误差,而且大大提高了洼地和平原区流域特征提取的精度,为分布式水文模型的模拟提供更高精度的流域特征信息。并与同类方法进行了比较,结果显示本文所使用的方法由于未对原有DEM信息进行修改,具有较高的精度。
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tudy on Methods of Extracting Catchment Properties Based on Multi-source Information
Abstract:Development of information techniques offers new chances and challenges to hydrology. Extracting catchment properties from geography information system, especially from digital elevation models has becoming so hot. While the extracted properties often be very different from natural for the resolution and information of DEM is limited, which effects on hydrologic simulation. Natural river system was added on DEM to extract catchment properties as controlling factor. And the properties gotten with methods before or after adding natural channels were compared. The results showed that extracting catchment properties from DEM under the controlling of natural channels improved the precision of properties in two aspects at least. Firstly, the larger errors of DEM coming from horizontal resolution were corrected mostly for the right main channel could be gotten with this method. Secondly, this method resolved the problem of extracting river network of pits and plains, and improved the precision of properties. It was compared with similar methods, too. As a result, this method was more exacter. The reason may be that original information of DEM was not modified during extracting catchment properties with this method.
Keywords: extracting catchment properties DEM multi-source information
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