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Looking Forward To Addressing Ever Finer (and Costlier) Issues: Research Issues in Air Quality

机译:期待解决越来越多的(和Costlier)问题:空气质量研究问题

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1. Key scientific research needs (out of many) 1.1 Improving and assessing ability of models to accurately quantify source impacts 1.1.1 We probably get it about right most of the time, but this is not always good enough (health assessments) 1.2 Understanding secondary organic aerosol formation 1.2.1 Major model bias at this time 1.3 Accurately assessing exposure (and errors) 1.3.1 Will limit ability to identify low level responses 1.4 Integrating emerging sensors into AQ management and science 1.4.1 They are coming... fast 1.5 Did not have a chance to elaborate more on 1.5.1 Rising background, other model errors/biases 2. Progress is being made on all fronts 2.1 Significant advances in instrumentation, science integrated in to models 3. Some major concerns 3.1 Losing critical data resources (AQ monitors being removed, e.g., CSN, others) 3.1.1 Needed for model evaluation and exposure assessment 3.2 Inappropriate use of models (direct use in health assessments without considering bias and error structures).
机译:1.关键科学研究需求(超出许多)1.1改进和评估模型的能力,以准确量化源影响1.1.1我们大部分时间都可能会得到它,但这并不总是足够好(健康评估)1.2理解二次有机气溶胶形成1.2.1主要模型偏差在此时的1.3准确评估曝光(和错误)1.3.1将限制识别低级响应的能力1.4将新兴传感器集成到AQ管理和科学中1.4.1他们即将到来。 FAST 1.5没有机会在1.5.1上升的背景下阐述更多,其他模型错误/偏见2.在所有前端进行2.1仪器的显着进展,科学集成到模型中.3.1丢失了批评。数据资源(被删除的AQ监视器,例如CSN,其他)3.1.1模型评估和曝光评估所需的3.2不当使用模型(直接使用健康评估而不考虑偏见A. ND错误结构)。

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