Height Above the Nearest Drainage to Predict Flooding Areas in São Luiz do Paraitinga, São Paulo
| Autor: | Humberto Gallo Junior, Helena Saraiva Koenow Pinheiro, Ewerton Danilo Souza Santos |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Hydrology Watershed Flood myth Land use Flooding (psychology) Climate change land use Land-use planning Forestry 04 agricultural and veterinary sciences SD1-669.5 01 natural sciences flooding risks Water level Climate changes 040103 agronomy & agriculture HAND model 0401 agriculture forestry and fisheries Environmental science Drainage 010606 plant biology & botany |
| Zdroj: | Floresta e Ambiente, Vol 28, Iss 2 (2021) Floresta e Ambiente, Volume: 28, Issue: 2, Article number: e20200070, Published: 20 JAN 2021 Floresta e Ambiente v.28 n.2 2021 Floresta e Ambiente Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
| ISSN: | 2179-8087 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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