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Application of Geographic Information Systems for Flood Risk Analysis: A Case Study from Accra Metropolitan Area

机译:地理信息系统在洪水风险分析中的应用 - 以Accra Metropolitan地区为例

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The main objective of the study was to identify high flood risk zones in AMA. The study also used questionnaires to assess local knowledge on what accounts for the high flood risk in their community. Spatial analysis techniques were used to model flood risk based on the following contributory factors; land cover, soil, drainage density, topography and proximity to rivers. The results show that high flood risk areas covered 46.3kmsup2/sup(20%), moderate risk area, 72.9kmsup2/sup(31.6%), low risk area 41.5kmsup2/sup(18%) and very low risk areas, about 6.7kmsup2/sup(2.9%). The high flood risk zones were low-lying areas below 50 meters above sea level and closely associated with poor drainage systems. People perceived not just low-lying areas as a paramount reason accounting for flooding but also very bad waste disposal habit of the public. These offsets the efforts of waste management companies to keep drains free of refuse.
机译:该研究的主要目标是识别AMA中的高洪水风险区域。该研究还使用调查问卷来评估当地知识对其社区中洪水风险的高洪水风险的账户。空间分析技术用于基于以下贡献因素来模拟洪水风险;陆地覆盖,土壤,排水密度,地形和河流接近。结果表明,高洪水风险地区46.3km 2 (20%),适度风险区域,72.9km 2 (31.6%),低风险区域41.5km 2 (18%)和非常低的风险区域,约6.7km 2 (2.9%)。高洪水风险区低洼地区低于海拔50米,与差的排水系统密切相关。人们认为不仅仅是低洼地区作为洪水洪水的最重要原因,而且公众的废物处理习惯也非常糟糕。这些抵消了废物管理公司的努力,以防止拒绝垃圾。

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