首页> 外文期刊>Geologia USP : Série Científica >Aplica??o do método índice de susceptibilidade para estimativa da susceptibilidade à contamina??o na Bacia hidrográfica dos rios Turvo, Santa Rosa e Santo Cristo
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Aplica??o do método índice de susceptibilidade para estimativa da susceptibilidade à contamina??o na Bacia hidrográfica dos rios Turvo, Santa Rosa e Santo Cristo

机译:敏感性指数法在河流河流域污染敏感性估算中的应用,圣罗莎和圣洁基督污染

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Due to the high level of contamination of surface water and the consequent decrease in drinking water reserves, groundwater sources are an alternative to supply the demand for water for human consumption. As a result, it is essential to monitor the potential sources of contamination that may affect the quality or quantity of water available. Thus, this study aims to identify potential polluting areas and sources of the Serra Geral Aquifer System on the hydrographic basin scale of the Turvo, Santa Rosa, Santo Cristo rivers. For this, the methodology of contamination susceptibility index was used, from crossing of a series of variables (Topography, soil use, aquifer material, distance to the water table and recharge). The results indicated that the susceptibility ranged from very low (4.89 % of the area) to high (0.004 %), with a predominance of moderate to low class. This indicates that the area presents favorable conditions for contamination in its greater portion. It is noteworthy that great part of the areas near the urban zones showed high susceptibility to contamination. This study presents the high potential of geoprocessing tools in determining the susceptibility index and mapping areas susceptible to contamination, able to improve groundwater management and the elaboration of municipal environmental plans.
机译:由于地表水的污染水平高,因此饮用水储量的降低,地下水来源是供应对人类消费水需求的替代方案。因此,必须监控可能影响可用水的质量或数量的污染源。因此,本研究旨在识别Turvo,Santa Rosa,Santo Cristo Rivers的水文盆地规模的潜在污染领域和塞拉伯含水层系统的来源。为此,使用污染易感性指数的方法,从一系列变量(地形,土壤使用,含水层材料,到水位和充电距离)的交叉。结果表明,易感性从非常低(4.89%)到高(0.004%),其主要是中等至低级的优势。这表明该区域在其更大的部分中呈现出污染的有利条件。值得注意的是,城区附近的地区的大部分地区对污染的敏感性很高。本研究介绍了地理处理工具的高潜力,在确定易受污染的敏感性指数和映射区域,能够改善地下水管理和市政环境计划的制定。

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