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机译:在识别室内VOC来源时考虑主要VOC排放随时间变化的基于模型的方法
Building Energy and Environmental Systems Laboratory (BEESL), Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY 13244, USA;
Building Energy and Environmental Systems Laboratory (BEESL), Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY 13244, USA;
International Centre for Indoor Environment and Energy, Department of Civil Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark;
Danish Building Research Institute, Aalborg University, Harsholm, Denmark;
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY 13244, USA;
Building Energy and Environmental Systems Laboratory (BEESL), Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY 13244, USA;
long-term emission; emission source identification; material emission signature; VOC; PTR-MS;
机译:现场被动通量采样器测量多种室内来源的羰基和挥发性有机化合物的排放速率
机译:基于宏观模型的多孔固体传质模型及室内VOC浓度预测物理模型和建筑材料VOC排放数值分析第1部分
机译:个性化通风对地毯释放VOC的室内居住者室内空气质量的影响
机译:一种确定恒定排放源挥发性有机化合物排放的简便方法及其在室内空气质量研究中的应用
机译:根据PTR-MS测量的材料排放特征和空气样品,开发一种用于识别室内环境中VOC排放源的新方法。
机译:室内空气中多种木粒类型和浓度的VOC排放
机译:基于模型的方法,用于说明室内VOC源识别中一次VOC排放随时间的变化
机译:使用化合物特异性稳定同位素分析来区分蒸汽侵入和室内挥发性有机化合物来源 - 用于蒸汽入侵调查的CsIa协议。