Department of Civil and Environmental Engineering, University of Washington, 201 More Hall, Box 352700, Seattle, WA 98195-2700, United States.
Sci Total Environ. 2010 Feb 1;408(5):1120-30. doi: 10.1016/j.scitotenv.2009.11.033. Epub 2009 Dec 14.
Predictions from a simple line source dispersion model, Caline3, were included as a covariate in a land use regression (LUR) model for NO(X)/NO(2) in Los Angeles, CA and Seattle, WA. The Caline3 model prediction assumed a unit emission factor for all roadway segments (1.0g/vehicle-mile). The NO(X) and/or NO(2) measurements for LA and Seattle were obtained from a comprehensive measurement campaign that is part of the Multi-Ethnic Study of Atherosclerosis Air Pollution Study (MESA Air). The measurement campaigns in both cities were approximately 2weeks in duration employing approximately 145 measurement sites in Greater LA and 26 sites in Seattle. The best "standard" LUR model (obtained without the inclusion of the Caline3 predictions) in LA had R(2) values of 0.53 for NO(X) and 0.74 for NO(2). The leave-one-out cross-validated R(2) values for NO(X) and NO(2) were 0.45 and 0.71, respectively. The equivalent "standard" NO(2) model for Seattle had an R(2) of 0.72 and a leave-one-out cross-validated R(2) of 0.63. When the Caline3 variable was included in the LA hybrid model, the R(2) values were 0.71 and 0.79 for NO(X) and NO(2), respectively. The corresponding cross-validated R(2) values were 0.66 and 0.77, for NOX and NO2, respectively. In Seattle, the inclusion of the Caline3 variable resulted in a NO(2) model with an R(2) of 0.81 and a corresponding cross-validated R(2) of 0.67. In LA, hybrid model performance was not affected by excluding roadways with annual average daily traffic volumes (AADT)<100,000. When the Caline3 predictions for heavy-duty trucks and lighter-duty vehicles were modelled as separate terms, the estimated fleet average NO(X) emission factors were 8.9 (SE=0.7) and 0.16 (SE=0.12) grams NO(X)/vehicle mile for heavy-duty and lighter-duty vehicles, respectively. These values are consistent with fleet average emission factors computed for LA with EMFAC 2007.
从一个简单的线源扩散模型(Caline3)的预测结果被纳入了洛杉矶和西雅图的基于土地利用的回归(LUR)模型,作为氮氧化物(NOx)/二氧化氮(NO2)的一个协变量。Caline3 模型预测假设所有道路段的单位排放因子均为 1.0g/车英里。洛杉矶和西雅图的 NOx 和/或 NO2 测量值是从一项综合测量活动中获得的,该活动是多民族动脉粥样硬化空气污染研究(MESA 空气)的一部分。这两个城市的测量活动持续了大约 2 周,在大洛杉矶地区使用了大约 145 个测量点,在西雅图使用了 26 个测量点。在洛杉矶,没有纳入 Caline3 预测的最佳“标准”LUR 模型(获得),其 NOx 的 R2 值为 0.53,NO2 的 R2 值为 0.74。NOx 和 NO2 的留一法交叉验证 R2 值分别为 0.45 和 0.71。西雅图等效的“标准”NO2 模型的 R2 值为 0.72,留一法交叉验证 R2 值为 0.63。当 Caline3 变量被纳入洛杉矶混合模型时,NOx 和 NO2 的 R2 值分别为 0.71 和 0.79。相应的交叉验证 R2 值分别为 0.66 和 0.77。在西雅图,纳入 Caline3 变量后,NO2 模型的 R2 值为 0.81,相应的交叉验证 R2 值为 0.67。在洛杉矶,混合模型的性能不受排除年平均日交通量(AADT)<100000 的道路的影响。当重型卡车和轻型车辆的 Caline3 预测被建模为单独的项时,估计的车队平均 NOx 排放因子分别为 8.9(SE=0.7)和 0.16(SE=0.12)克 NOx/车英里,分别用于重型和轻型车辆。这些值与使用 EMFAC 2007 为洛杉矶计算的车队平均排放因子一致。