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PURE:一个基于网络的决策支持系统,用于评估加利福尼亚可持续害虫管理实践中农药的环境风险。

PURE: a web-based decision support system to evaluate pesticide environmental risk for sustainable pest management practices in California.

机构信息

Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, USA.

出版信息

Ecotoxicol Environ Saf. 2012 Aug;82:104-13. doi: 10.1016/j.ecoenv.2012.05.019. Epub 2012 Jun 15.

Abstract

Farmers, policy makers, and other stakeholders seek tools to quantitatively assess pesticide risks for mitigating pesticide impacts on ecosystem and human health. This paper presents the Pesticide Use Risk Evaluation (PURE) decision support system (DSS) for evaluating site-specific pesticide risks to surface water, groundwater, soil, and air across pesticide active ingredient (AI), pesticide product, and field levels. The risk score is determined by the ratio of the predicted environmental concentrations (PEC) to the toxicity value for selected endpoint organism(s); except that the risk score for the air is calculated using the emission potential (EP), which is a pesticide product property for estimating potential volatile organic compound (VOC) emissions by California Environmental Protection Agency (CEPA). The risk scores range from 0 to 100, where 0 represents negligible risk while 100 means the highest risk. The procedure for calculating PEC in surface water was evaluated against monitoring data for 41 pesticide AIs, with a statistically significant correlation coefficient of r=0.82 (p<0.001). In addition, two almond fields in the Central Valley, California were evaluated for pesticide risks as a case study, where the commonly acknowledged high-risk pesticides gained high risk scores. Simazine, one of the most frequently detected pesticides in groundwater, was scored as 74 (the moderate high risk class) to groundwater; and chlorpyrifos, one of the frequently detected pollutants in surface water, was scored as 100 (the high risk class) to surface water. In support of pesticide risk quantitative assessment and use of reduced-risk pesticide selection, the PURE-DSS can be useful to assist growers, pesticide control advisors, and environmental protection organizations in mitigating pesticide use impacts on the environment.

摘要

农民、政策制定者和其他利益相关者寻求工具来定量评估农药风险,以减轻农药对生态系统和人类健康的影响。本文介绍了农药使用风险评估 (PURE) 决策支持系统 (DSS),用于评估特定地点的农药风险,包括地表水、地下水、土壤和空气,涉及农药活性成分 (AI)、农药产品和田间水平。风险评分是通过预测环境浓度 (PEC) 与选定终点生物体的毒性值之比确定的;但空气的风险评分是使用排放潜力 (EP) 计算的,EP 是农药产品的一个特性,用于估计加利福尼亚州环境保护局 (CEPA) 潜在挥发性有机化合物 (VOC) 的排放。风险评分范围从 0 到 100,其中 0 表示可忽略的风险,而 100 表示最高风险。地表水 PEC 的计算程序已针对 41 种农药 AI 的监测数据进行了评估,具有统计学意义的相关系数 r=0.82(p<0.001)。此外,作为案例研究,对加利福尼亚州中央山谷的两个杏仁田进行了农药风险评估,其中公认的高风险农药获得了高风险评分。西玛津是地下水检测到的最常见农药之一,被评为地下水的 74(中度高风险类别);而在地表水检测到的最常见污染物之一氯吡硫磷,被评为地表水的 100(高风险类别)。为了支持农药风险定量评估和使用低风险农药选择,PURE-DSS 可以帮助种植者、农药控制顾问和环境保护组织减轻农药使用对环境的影响。

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