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首页> 外文期刊>Canadian Water Resources Journal >A GIS-Based Model to Assess the Risk of On-Site Wastewater Systems Impacting Groundwater and Surface Water Resources
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A GIS-Based Model to Assess the Risk of On-Site Wastewater Systems Impacting Groundwater and Surface Water Resources

机译：基于GIS的现场废水系统影响地下水和地表水资源的风险评估模型

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摘要

On-site systems are successfully used across Ontario and Canada in rural areas to treat and disperse wastewater in areas without access to centralized sewer facilities. Ontario has detailed technical guidelines for the design and installation of on-site systems to help safeguard against contamination to public health and the environment. However, since on-site systems are managed by private users, there are significant risks to either surface and groundwater resources when the systems malfunction or are improperly operated and maintained. This research assesses and models these risks on a regional basis utilizing a GIS-based assessment tool. The developed risk assessment model uses nine pertinent parameters to account for contaminant loading and pathways, and system characteristics. Risk parameters included soil type, slope, lot size, surface water proximity, floodplain, groundwater intrinsic susceptibility, recharge areas and water supply proximity. When applied to Huron-Kinloss Township in Ontario, at-risk areas were successfully determined by the model and then confirmed and validated by local experts. Soil type, groundwater intrinsic susceptibility and system age were the greatest contributors to the overall risk for this area. The GIS-based model is useful for decision-makers in identifying at-risk areas for targeted management strategies such as prioritized re-inspection programs.
机译：在安大略省和加拿大农村地区成功使用了现场系统，以在没有集中式下水道设施的地区处理和分散废水。安大略省为设计和安装现场系统提供了详细的技术指南，以帮助防止污染公共卫生和环境。但是，由于现场系统是由私人用户管理的，因此当系统发生故障或操作和维护不当时，地表和地下水资源将面临巨大风险。这项研究使用基于GIS的评估工具在区域范围内评估和建模了这些风险。开发的风险评估模型使用九个相关参数来说明污染物的负载和途径以及系统特征。风险参数包括土壤类型，坡度，地块大小，地表水接近度，洪泛区，地下水固有磁化率，补给面积和供水距离。当将其应用于安大略省的休伦－金洛斯镇时，该模型成功确定了高风险区域，然后由当地专家进行了确认和验证。土壤类型，地下水固有磁化率和系统年龄是造成该地区总体风险的最大因素。基于GIS的模型对于决策者确定有针对性的管理策略（例如优先检查项目）的高风险区域很有用。

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  • 来源
    《Canadian Water Resources Journal》 |2011年第3期|p.229-246|共18页
  • 作者

    Andrew Oosting; Doug Joy;

  • 作者单位

    School of Engineering, University of Guelph, Guelph, Ontario NIG 2W1;

    School of Engineering, University of Guelph, Guelph, Ontario NIG 2W1;

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  • 正文语种 eng
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