Height Above the Nearest Drainage to Predict Flooding Areas in São Luiz do Paraitinga, São Paulo

IF 0.5 Q4 FORESTRY
Ewerton Danilo Souza Santos, H. Pinheiro, Humberto Gallo Junior
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引用次数: 2

Abstract

Natural events associated to environmental disasters has increased with climate changes. Understanding the watershed behavior allows the managers to execute an efficient land use planning. By using as a study area the municipality of São Luiz do Paraitinga, the study’s goal was apply the Height Above the Nearest Drainage Model, which allows categorizing areas based on simulations of water level variations, to evaluate flooding risks at the municipality. The data were processed using ArcGIS Desktop v. 10.3, System for Automated Geoscientific Analysis and TerraHidro. The flood susceptibility map was generated with spatial resolution of 30 m. It was simulated water level variations of 7, 9, 12 and 15 meters and, according to the model, areas with high or very high flood susceptibility cover approximately 13% of the study area (81 km2). In general, the methods used afforded coherent results given the resolution of source data and available information.
圣保罗州o Luiz do Paraitinga,预测洪水区域的距离最近排水系统的高度
与环境灾害相关的自然事件随着气候变化而增加。了解流域行为可以使管理者执行有效的土地利用规划。通过使用 o Luiz do Paraitinga市作为研究区域,研究的目标是应用最近排水模型的高度,该模型允许基于水位变化的模拟对区域进行分类,以评估市政当局的洪水风险。数据处理使用ArcGIS Desktop v. 10.3, System for Automated Geoscientific Analysis和TerraHidro。生成空间分辨率为30 m的洪水敏感性图。该模型模拟了7、9、12和15米的水位变化,根据该模型,高或极高洪水易感性区域约占研究面积(81平方公里)的13%。一般来说,在给定源数据和可用信息的分辨率的情况下,所使用的方法提供了一致的结果。
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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来源期刊
CiteScore
1.80
自引率
12.50%
发文量
20
审稿时长
31 weeks
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