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Comparison of one-dimensional and two-dimensional GRASS-GIS models for flood mapping

机译:一维和二维GRASS-GIS模型在洪水地图中的比较

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The first step of a risk assessment analysis is the evaluation of flood-prone areas. Its importance is considered for both managing and planning emergency activities, such as hydraulic risk reduction management, and also town planning. Nowadays, using Geographic Information System (GIS) technology for risk assessment analysis is very common. However, it is not widely used for defining inundated areas. LiDAR data, such as digital elevation models (DEM), makes GIS numerical models attractive methods for obtaining a flooded area automatically. Using GIS tools is beneficial for effective processing and accuracy assessment in comparison to traditional methods which are based on topographic maps and field surveys. A first approach (Federici & Sguerso, Bollettino SIFET 4:25–42, 2007; Marzocchi, 2009) uses a GIS module in order to simulate perifluvial flood maps, having as prerequisites (i) the conformation of the river floodplain by a high-resolution DEM and (ii) a water surface profile along the river axis calculated for a given water discharge through a generic one-dimensional (1D) hydraulic model (HEC-RAS, Basement, MIKE 11, etc.). On the other hand, a second approach uses a GIS-embedded two-dimensional (2D) model in order to simulate flooded areas due to a dam break (Cannata&Marzocchi, Nat Hazards 61(3):1143–1159, 2012). This module solves the conservative form of the 2D shallow water equations (SWE) using a finite volume method (FVM). The intercell flux is computed by a one-side upwind conservative scheme extended to a 2D problem (Ying et al., J hydraul eng-ASCE 10:977–98, 2004). The newly developed GIS module gives as output maximum intensity maps which can be directly used in a risk assessment process. Both models have been implemented in geographic resources analysis support system (GRASS)-GIS software (Neteler et al., Environ Model Softw 31:124–130, 2012; GRASS, 2013) and two new commands (r.inund.fluv and r.damflood) have been created. Both are available on the official GRASS addons website and are distributed under the terms of the GNU General Public License (GPL). In this work we present a comparison between the two models mentioned above. We analyse the possibility of integrating these two approaches. We intend to use the 1D model, GIS embedded if possible, to calculate the water surface profile along the river axis and the 2D numerical one to analyse inundation beside the river levees.
机译:风险评估分析的第一步是评估易发洪水地区。对于管理和计划紧急活动(例如减少水力风险管理)以及城镇规划都考虑了其重要性。如今,使用地理信息系统(GIS)技术进行风险评估分析非常普遍。但是,它并未广泛用于定义淹没区域。 LiDAR数据(例如数字高程模型(DEM))使GIS数值模型成为自动获取洪水区域的有吸引力的方法。与基于地形图和野外勘测的传统方法相比,使用GIS工具有助于进行有效的处理和准确性评估。第一种方法(Federici&Sguerso,Bollettino SIFET 4:25-42,2007; Marzocchi,2009)使用GIS模块来模拟河道泛滥图,其前提条件是(i)高河道对河漫滩的构造分辨率DEM和(ii)通过通用一维(1D)水力模型(HEC-RAS,地下室,MIKE 11等)针对给定的排水量计算出的沿河流轴线的水面轮廓。另一方面,第二种方法是使用GIS嵌入的二维(2D)模型来模拟由于大坝溃坝而造成的洪水泛滥区域(Cannata&Marzocchi,Nat Hazards 61(3):1143-1159,2012)。该模块使用有限体积法(FVM)求解二维浅水方程(SWE)的保守形式。细胞间通量通过扩展到二维问题的单向逆风保守方案来计算(Ying等人,J hydraul eng-ASCE 10:977-98,2004)。新开发的GIS模块提供最大强度图作为输出,可直接用于风险评估过程。两种模型均已在地理资源分析支持系统(GRASS)-GIS软件(Neteler等人,Environ Model Softw 31:124-130,2012; GRASS,2013)中实现,并使用了两个新命令(r.inund.fluv和r .damflood)。两者都可以在GRASS附加组件官方网站上找到,并根据GNU通用公共许可(GPL)的条款进行分发。在这项工作中,我们将对上述两种模型进行比较。我们分析了整合这两种方法的可能性。我们打算使用一维模型(如果可能的话,可以嵌入GIS)来计算沿河轴线的水面轮廓,并使用二维数值模型来分析河堤旁的洪水。

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