...
首页> 外文期刊>Environmental Modeling & Assessment >Catchment Characterisation Tool: Prioritising Critical Source Areas for managing diffuse nitrate pollution
【24h】

Catchment Characterisation Tool: Prioritising Critical Source Areas for managing diffuse nitrate pollution

机译:流域特征分析工具:确定关键源区域的优先级,以管理弥散性硝酸盐污染

获取原文
获取原文并翻译 | 示例

摘要

Where diffuse losses of nutrients from agriculture is a major challenge for integrated catchment management and the achievement of Water Framework Directive objectives, modelling tools can be used to target the high-risk areas and focus the limited resources available for mitigation measures. The Catchment Characterisation Tool (CCT) is a GIS-based model developed to assess the potential risk posed by nitrate and phosphate from diffuse agricultural sources to surface water and groundwater by delineating critical source areas in Irish sub-catchments. The CCT model results have been generated to support pressure-impact assessments following the source-pathway-receptor concept to target local catchment stream walks in areas where the potential impact may be higher. These risk maps can be used at a maximum scale of 1:25,000 (e.g. water body scale) to target areas for Local Catchment Assessments and are not designed or suitable to be used on their own as a basis for decisions at local or field scale. Consequently, these maps act as signposts for where further characterisation and engagement actions should be prioritised. This paper details the model structure and data requirements for the CCT for nitrate followed by validation of the results by comparing a national dataset of measured nitrate concentrations in Irish water bodies with values predicted by the CCT. The model performed well at predicting the annual average nitrate concentrations, with surface waters showing better correlation with CCT predictions than for groundwater. More detailed comparisons with intensively monitored test catchments showed satisfactory correlation between the predictions and measured concentrations. The outputs are displayed in pollution impact potential (PIP) maps that rank the modelled values so that prioritisation can be given to the higher ranked areas or critical source areas.
机译:农业综合养分管理和实现《水框架指令》目标面临的主要挑战是来自农业的养分分散流失,因此可以使用建模工具来针对高风险地区,并集中有限的资源用于缓解措施。流域特征分析工具(CCT)是基于GIS的模型,旨在通过描绘爱尔兰次流域的关键水源区域来评估硝酸盐和磷酸盐从分散的农业来源到地表水和地下水的潜在风险。 CCT模型结果已经生成,以支持根据源-途径-受体概念以潜在影响可能更大的区域中的局部集水径为目标的压力影响评估。这些风险图最大可以以1:25,000(例如水体规模)的比例用于目标集水区评估区域,不适用于或自己单独用作地方或现场规模决策的基础。因此,这些地图充当路标的位置,应在此处优先考虑进一步的表征和参与行为。本文详细介绍了硝酸盐CCT的模型结构和数据要求,然后通过比较爱尔兰水体中硝酸盐浓度的国家数据集与CCT预测的值来验证结果。该模型在预测年平均硝酸盐浓度方面表现良好,地表水与CCT预测的相关性比地下水好。与集中监测的测试流域的更详细比较显示,预测值与测得浓度之间具有令人满意的相关性。输出结果显示在污染影响潜能(PIP)图中,该图对模型值进行排序,以便可以将优先级分配给排名较高的区域或关键源区域。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号