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Detecting improvement in ambient air toxics: An application to ambient benzene measurements in Houston, Texas

机译:检测环境空气中有毒物质的改善:德克萨斯州休斯顿的环境苯测量中的应用

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摘要

Traditional regulatory methods for evaluating air toxics have several limitations. Two common methods rely either on self-reported industrial emissions from the Toxics Release Inventory or a single summary statistic such as the average or arithmetic mean. A novel statistical approach for detecting overall long term improvement in ambient air quality is demonstrated using measurements of the air toxic benzene evaluated over five years in Houston, Texas. Through trends of seven key statistical measures, long term improvements were detected at more monitors than would have been found using traditional methods while lack of improvement is highlighted at other monitors. This new approach includes analysis of high and low end concentrations, as well as central tendency, evaluated at specific air toxic human health risk thresholds.
机译:用于评估空气中毒物的传统监管方法有几个局限性。两种常见方法依赖于有毒物质排放清单的自我报告的工业排放或单一的汇总统计数据,例如平均值或算术平均值。通过在得克萨斯州休斯敦进行的五年中评估的空气有毒苯的测量,证明了一种用于检测环境空气质量总体长期改善的新颖统计方法。通过七项关键统计指标的趋势,与使用传统方法发现的监视器相比,在更多监视器上发现了长期的改进,而在其他监视器上则发现缺乏改进。这种新方法包括在特定的空气毒性人类健康风险阈值下评估的高端和低端浓度以及集中趋势的分析。

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