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Assessing the resolution effects of digital elevation models on automated floodplain delineation A case study from the Camp Creek watershed in Missouri.

机译：评估数字高程模型对洪泛区自动划定的分辨率影响以密苏里州Camp Creek流域为例。

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摘要

Automated floodplain modeling commonly requires Digital Elevation Models (DEMs) to represent the topography. As a raster representation of the Earth surface, changing a DEMs resolution (data cell size) has a profound impact on the floodplain delineation. Since 1995 DEM resolution has increased from 100- to 1-meter resolution. This thesis addresses how different DEM resolutions, and different DEM data sources, affect the outcome of modeled floodplain boundaries in the Camp Creek Watershed, a predominately agricultural watershed in Missouri. Two data sets are analyzed: a Light Detection and Ranging (LiDAR) terrain model re-sampled to 1-, 3-, 5-, 10-, 15-, and 30-meter resolutions and existing United States Geological Survey (USGS) 5-, 10-, and 30-meter DEMs. The floodplain delineation process includes hydrologic modeling, hydraulic modeling, and floodplain delineation. Each process includes various input parameters and outputs. Resultant stream networks, watershed boundaries, and floodplains are examined to evaluate the effects of different resolutions. Using 3- or 5- meter LiDAR DEMs produces data that agree with the 1-m data greater than the 90th percentile. The agreement also includes the 10-m DEM data when analyses remove the floodplain modeling cumulative discrepancy effects. Similar trends were not found when using the USGS counterparts; possibly due to the use of the same underlying source material to create the DEMs. When removing the cumulative distortion effect of resolution on the entire modeling process, LiDAR DEM floodplains displayed a 1-4% increase in goodness of fit. Analyzing the results of two separate hydraulic models (HEC-RAS and CARES) finds little difference between their calculated flood surface elevations. Additionally, the thesis analyzes the data storage needs and processing time for modeling different resolutions, finding substantial savings in both as the underlying DEM resolution is decreased. The thesis begins to analyze how models are affected by input variables but many additional studies are needed. Further study of these variables is needed to determine if a single most appropriate model and DEM resolution exists, or what combination of models are appropriate for various types of automated floodplain modeling.
机译：自动化的洪泛区建模通常需要数字高程模型（DEM）来表示地形。作为地球表面的栅格表示，更改DEM分辨率（数据像元大小）对洪泛区的划定具有深远的影响。自1995年以来，DEM分辨率已从100米提高到1米。本文探讨了不同的DEM分辨率和不同的DEM数据源如何影响Camp Creek流域（密苏里州主要是农业流域）的洪泛区边界建模结果。分析了两个数据集：重新采样到1、3、5、10、15和30米分辨率的光检测和测距（LiDAR）地形模型，以及现有的美国地质调查局（USGS）5 -，10米和30米的DEM。洪泛区划定过程包括水文建模，水力模型和洪泛区划定。每个过程都包括各种输入参数和输出。检查最终的河流网络，流域边界和洪泛区，以评估不同分辨率的影响。使用3米或5米的LiDAR DEM产生的数据与大于90％的1-m数据相符。当分析消除了洪泛区建模的累积差异影响时，该协议还包括10米DEM数据。使用USGS同行时未发现类似趋势；可能是由于使用了相同的基础源材料来创建DEM。当消除分辨率对整个建模过程的累积失真影响时，LiDAR DEM洪泛区的拟合优度提高了1-4％。分析两个单独的水力模型（HEC-RAS和CARES）的结果，发现它们计算出的洪水表面高程之间几乎没有差异。此外，本文分析了用于建模不同分辨率的数据存储需求和处理时间，并发现随着底层DEM分辨率的降低，两者都可节省大量资金。本文开始分析输入变量如何影响模型，但还需要进行许多其他研究。需要进一步研究这些变量，以确定是否存在单个最合适的模型和DEM分辨率，或者哪种模型组合适用于各种类型的自动洪泛区建模。

著录项

  • 作者

    Charrier, Richard.;

  • 作者单位

    University of Missouri - Columbia.;

  • 授予单位 University of Missouri - Columbia.;
  • 学科 Geodesy.;Water Resource Management.;Hydrology.
  • 学位 M.A.
  • 年度 2009
  • 页码 131 p.
  • 总页数 131
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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