River flood spreading prediction system using cellular automata (Case study Bengawan Solo River)

R. B. Prasetya, A. Fariza, Jauari Akhmad Nur Hasim, A. Basuki
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引用次数: 8

Abstract

Bojonegoro is a city in Indonesia which annually floods. The flood disaster caused by the Solo River provides a great loss. Flood prediction and modeling of spreading needed to be able to minimize losses caused by flooding. By doing prediction, flood-affected areas can be known from the outset to allow for flood prevention measures. Cellular automata algorithms used in this study to determine the direction of the spread flooding. Cellular automata algorithms process the elevation data, soil type data, river mapping data, river volume changes data and rainfall data. The prediction results are presented in 2-dimensional images so as to facilitate the visualization of the distribution of flood observation.
基于元胞自动机的河流洪水蔓延预测系统(以班加湾索罗河为例)
Bojonegoro是印度尼西亚的一个城市,每年都会发生洪水。梭罗河引发的洪水灾害造成了巨大的损失。洪水预测和蔓延建模需要能够最大限度地减少洪水造成的损失。通过预测,可以从一开始就知道受洪水影响的地区,以便采取防洪措施。本研究采用元胞自动机算法确定洪水扩散方向。元胞自动机算法处理高程数据、土壤类型数据、河流制图数据、河流体积变化数据和降雨数据。预报结果以二维图像的形式呈现,便于洪水观测分布的可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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