{"title":"基于尺度自适应DEM的拓扑流道网络构建","authors":"Yumin Chen, X. Bi, Yajuan Li, Qiao Wan","doi":"10.1109/Geoinformatics.2013.6626134","DOIUrl":null,"url":null,"abstract":"In this study, we propose to simulate the dynamics of surface flow using a Topological Flow-path Network model (TFN) based on scale-adaptive DEMs (S-DEMs). This model makes full use of the high accuracy DEM data to extract topographical and hydrological characteristics from the terrain surface. It also assigns these characteristics with scale properties, thus building a stream-network-bounded scale-adaptive DEM system. For each DEM, a triangulated irregular network (TIN) surface is established and flow direction is calculated for each triangular facet in the TIN, building the flow paths from any location in the DEM to the basin outlet, such that a three-dimensional terrain expression is simplified to a one dimension topology flow structure. For each flow path, hydrological variables, such as flow velocity and volume, are computed using classic hydrological formula to support cross-scale simulation of the surface water dynamics.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Building Topological Flow-path Networks based on scale-adaptive DEM\",\"authors\":\"Yumin Chen, X. Bi, Yajuan Li, Qiao Wan\",\"doi\":\"10.1109/Geoinformatics.2013.6626134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, we propose to simulate the dynamics of surface flow using a Topological Flow-path Network model (TFN) based on scale-adaptive DEMs (S-DEMs). This model makes full use of the high accuracy DEM data to extract topographical and hydrological characteristics from the terrain surface. It also assigns these characteristics with scale properties, thus building a stream-network-bounded scale-adaptive DEM system. For each DEM, a triangulated irregular network (TIN) surface is established and flow direction is calculated for each triangular facet in the TIN, building the flow paths from any location in the DEM to the basin outlet, such that a three-dimensional terrain expression is simplified to a one dimension topology flow structure. For each flow path, hydrological variables, such as flow velocity and volume, are computed using classic hydrological formula to support cross-scale simulation of the surface water dynamics.\",\"PeriodicalId\":286908,\"journal\":{\"name\":\"2013 21st International Conference on Geoinformatics\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 21st International Conference on Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Geoinformatics.2013.6626134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 21st International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Geoinformatics.2013.6626134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
在这项研究中,我们建议使用基于尺度自适应dem (s - dem)的拓扑流路网络模型(TFN)来模拟地表流动的动力学。该模型充分利用高精度DEM数据,从地形表面提取地形水文特征。并赋予这些特征尺度属性,从而构建了一个流-网边界尺度自适应DEM系统。对于每个DEM,建立一个三角形不规则网络(TIN)面,并对TIN中的每个三角形面进行流向计算,构建从DEM中任意位置到盆地出水口的流动路径,将三维地形表达式简化为一维拓扑流动结构。对于每个流道,利用经典水文公式计算流速和体积等水文变量,支持地表水动力学的跨尺度模拟。
Building Topological Flow-path Networks based on scale-adaptive DEM
In this study, we propose to simulate the dynamics of surface flow using a Topological Flow-path Network model (TFN) based on scale-adaptive DEMs (S-DEMs). This model makes full use of the high accuracy DEM data to extract topographical and hydrological characteristics from the terrain surface. It also assigns these characteristics with scale properties, thus building a stream-network-bounded scale-adaptive DEM system. For each DEM, a triangulated irregular network (TIN) surface is established and flow direction is calculated for each triangular facet in the TIN, building the flow paths from any location in the DEM to the basin outlet, such that a three-dimensional terrain expression is simplified to a one dimension topology flow structure. For each flow path, hydrological variables, such as flow velocity and volume, are computed using classic hydrological formula to support cross-scale simulation of the surface water dynamics.