论文标题
使用基于六角形的蜂窝自动机建立的径流模型检测洪水区域
Flood zones detection using a runoff model built on Hexagonal shape based cellular automata
论文作者
论文摘要
本文介绍了由数字地形模型定义的景观中的3D地理信息系统（GIS）建模和仿真，该景观由某些可用的地理位置API提供。所提出的方法使用基于细胞自动机的算法来计算水流动态。该方法在位于摩洛哥以北的丹吉尔（Tangier）的27kMx19km的案例研究区域进行了测试。实际上，我们旨在检测洪水区，以防止与城市和农村地区的空间占用有关的问题。可以使用基于蜂窝自动机（CA）的方法从流形状推导一些指数，从而可以降低与具有多个变化的空间结构相关的复杂性。使用3D可视化提供了对径流过程的时空模拟，我们可以将其与地理信息系统工具（GIS）配对。开发了用于使用基于蜂窝自动机的径流模型分析洪水区域检测的3D GIS建模方法由三个主要步骤组成：输入（收集数据），计算（CA工具）和可视化（3D模拟）。
This article presents a 3D geographic information systems (GIS) modeling and simulation of water flow in a landscape defined by a digital terrain model, provided by some available geolocation APIs. The proposed approach uses a cellular automata based algorithm to calculate water flow dynamic. The methodology was tested on a case study area of 27kmx19km located in Tangier, north of Morocco. In fact, we aim to detect flood zones in order to prevent problems related to space occupation in urban and rural regions. Some indices can be deduced from the stream shape using Cellular Automata (CA) based approach that can reduce the complexity related to space structures with multiple changes. A spatiotemporal simulation of the runoff process is provided using 3D visualization that we can pair with geographical information system tools (GIS). The 3D GIS modeling approach that was developed for the analyses of flood zones detection using a runoff model based on cellular automata was comprised of three main steps: Input (collection of data), calculation (CA tool) and visualization (3D simulation).
