运用SCI-GROW模型预测农药对地下水的污染风险

在对美国环境保护局开发的地下水暴露评价模型进行比较的基础上,选择SCI-GROW模型预测我国福建省甘蔗种植区5种常用农药对地下水的污染风险,并将模型预测结果与该地区地下水中农药的实测结果进行比较,对模型进行验证.结果表明,模型预测结果与实测结果之间具有很好的相关性,SCI-GROW模型能较好地用于我国东南沿海等地下水位较高、降水量较大、土壤砂性等地下水易受污染地区农药的筛选评价.最后,运用SCI-GROW模型预测涕灭威等17种我国常用农药对地下水的污染风险,为这些农药的科学使用提供参考.

SCI-GROW Model for Groundwater Risk Assessment of Pesticides

The SCI-GROW model,developed by USEPA and commonly used in the United States,was selected to predict risks to groundwater of five types of pesticides frequently used in sugarcane fields in Fujian Province.Comparison between prediction and field measurement was carried out to validate the model.Results show that good correlation was observed between the two.The SCI-GROW model was applicable to screening assessment of groundwater contamination risks of pesticides in areas where groundwater is vulnerable to pesticide contamination in the coastal region of Southeast China with characteristics of higher in groundwater table,substantial in rainfall,and sandy in soil texture.In the end,the SCI-GROW model was used to predict risks of seventeen types of pesticides commonly used in the country,with a view to providing scientific reference for use of these pesticides.