On the basis of Digital Elevation Model （DEM） data, watershed delineation and spatial topological relationship were proposed by the Digital Elevation Drainage Network Model （DEDNM） for the area upstream of the Han...On the basis of Digital Elevation Model （DEM） data, watershed delineation and spatial topological relationship were proposed by the Digital Elevation Drainage Network Model （DEDNM） for the area upstream of the Hanzhong Hydrological Station in the Hanjiang River in China. Then, the Muskingum-Cunge method considering lateral flow into the river was applied to flood routing on the platform of digital basin derived from DEDNM. Because of considering lateral flow into the river, the Muskingum-Cunge method performs better than the Muskingum method in terms of the Nash-Sutcliffe model efficiency coefficient and the relative error of flood discharge peak value. With a routing-after-superposition algorithm, the Muskingum-Cunge method performs better than the Muskingum method in terms of the Nash-Sutcliffe model efficiency coefficient and the relative error of flood discharge peak value. As a result, the digital basin coupled with the Muskingum-Cunge method provides a better platform for water resources management and flood control.展开更多
以澜沧江-湄公河流域为研究对象,提出一种基于90 m分辨率的数字高程模型(DEM)和河网密度法的水系提取方法。基于ArcGIS中水文分析模块和缓冲区工具,引入数字化河网作为水系提取的影响条件,以实际水系修正主要河道的高程值;再采用河网密...以澜沧江-湄公河流域为研究对象,提出一种基于90 m分辨率的数字高程模型(DEM)和河网密度法的水系提取方法。基于ArcGIS中水文分析模块和缓冲区工具,引入数字化河网作为水系提取的影响条件,以实际水系修正主要河道的高程值;再采用河网密度法确定最佳集水面积阈值,并依据流域自然分水岭、流域控制面积以及干流主要水文控制站要素划分子流域;结合中央气象台精细化智能网格降水产品,分析不同子流域尺度对强降雨反映效应。结果表明,澜湄流域最佳集水面积阈值为129.1 km 2,数字水系河流相对误差为7.5%,河网套合差为2.5%;精度检验吻合程度较高,提取水系与实际水系较为一致。展开更多
GeoProcessing不仅提供空间数据分析的简单功能,而且支持建立非常复杂的地理处理模型来完成定制的地理处理任务和执行批处理操作。通过GeoProcessing地理处理新方法建立流域数字水系模型,是流域水文构成模拟计算、流域水土流失分析等的...GeoProcessing不仅提供空间数据分析的简单功能,而且支持建立非常复杂的地理处理模型来完成定制的地理处理任务和执行批处理操作。通过GeoProcessing地理处理新方法建立流域数字水系模型,是流域水文构成模拟计算、流域水土流失分析等的重要基础。为水文过程模拟分析提供有力支持。以岷江上游流域为研究区,首先使用GeoProcessing建模方法生成岷江上游流域30 m×30 m DEM并对其进行洼地的确定、填充和平地的抬升等预处理,采用D8法计算水流方向和汇流面积,在此基础上实现流域分水岭、河网水系和子流域等参数提取,并建立岷江上游流域数字水系模型。通过模型计算,较精确地确定了岷江上游的流域边界,其提取结果与传统的手工数字化成果吻合程度高,且细节部分更加突出;与传统的分步式操作相比,提高了水系河网提取的阈值试验条件设置次数,可批量处理,自动化程度高,人为干扰小,结果更加可信。当取汇水累计量≥600栅格单元(面积约为0.05km2)且综合长度≤500 m的水系时得到的结果与手工数字化地形图水系吻合较好。展开更多
基金Project supported by the National Natural Science Foundation of China (Grant No :40171016) and the National KeyBasic Research Programof China (Grant No :2006CB400502) .
文摘On the basis of Digital Elevation Model （DEM） data, watershed delineation and spatial topological relationship were proposed by the Digital Elevation Drainage Network Model （DEDNM） for the area upstream of the Hanzhong Hydrological Station in the Hanjiang River in China. Then, the Muskingum-Cunge method considering lateral flow into the river was applied to flood routing on the platform of digital basin derived from DEDNM. Because of considering lateral flow into the river, the Muskingum-Cunge method performs better than the Muskingum method in terms of the Nash-Sutcliffe model efficiency coefficient and the relative error of flood discharge peak value. With a routing-after-superposition algorithm, the Muskingum-Cunge method performs better than the Muskingum method in terms of the Nash-Sutcliffe model efficiency coefficient and the relative error of flood discharge peak value. As a result, the digital basin coupled with the Muskingum-Cunge method provides a better platform for water resources management and flood control.
文摘以澜沧江-湄公河流域为研究对象,提出一种基于90 m分辨率的数字高程模型(DEM)和河网密度法的水系提取方法。基于ArcGIS中水文分析模块和缓冲区工具,引入数字化河网作为水系提取的影响条件,以实际水系修正主要河道的高程值;再采用河网密度法确定最佳集水面积阈值,并依据流域自然分水岭、流域控制面积以及干流主要水文控制站要素划分子流域;结合中央气象台精细化智能网格降水产品,分析不同子流域尺度对强降雨反映效应。结果表明,澜湄流域最佳集水面积阈值为129.1 km 2,数字水系河流相对误差为7.5%,河网套合差为2.5%;精度检验吻合程度较高,提取水系与实际水系较为一致。
文摘GeoProcessing不仅提供空间数据分析的简单功能,而且支持建立非常复杂的地理处理模型来完成定制的地理处理任务和执行批处理操作。通过GeoProcessing地理处理新方法建立流域数字水系模型,是流域水文构成模拟计算、流域水土流失分析等的重要基础。为水文过程模拟分析提供有力支持。以岷江上游流域为研究区,首先使用GeoProcessing建模方法生成岷江上游流域30 m×30 m DEM并对其进行洼地的确定、填充和平地的抬升等预处理,采用D8法计算水流方向和汇流面积,在此基础上实现流域分水岭、河网水系和子流域等参数提取,并建立岷江上游流域数字水系模型。通过模型计算,较精确地确定了岷江上游的流域边界,其提取结果与传统的手工数字化成果吻合程度高,且细节部分更加突出;与传统的分步式操作相比,提高了水系河网提取的阈值试验条件设置次数,可批量处理,自动化程度高,人为干扰小,结果更加可信。当取汇水累计量≥600栅格单元(面积约为0.05km2)且综合长度≤500 m的水系时得到的结果与手工数字化地形图水系吻合较好。
