Transferability and generalizability of regression models of ultrafine particles in urban neighborhoods in the Boston area.
Transferability and generalizability of regression models of ultrafine particles in urban neighborhoods in the Boston area.
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DOI：
10.1021/es5061676
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发表时间：
2015-05-19
影响因子：
11.4
通讯作者：
Durant, John L.
中科院分区：
文献类型：
--
作者：
Patton, Allison P.;Zamore, Wig;Naumova, Elena N.;Levy, Jonathan I.;Brugge, Doug;Durant, John L.
土地利用回归(LUR)模型已被用于评估空气污染物暴露，但关于特定地点的LUR模型是否适用于其他地点(可转移性)或一般模型是否适用于较小的区域(可普适性)，证据有限。我们测试了波士顿地区(美国马萨诸塞州)每小时颗粒物浓度(PNC)的时空Lur模型的可转换性和泛化能力。93号州际公路附近的市区。4个社区特定的回归模型和1个波士顿地区模型是根据流动监测测量(每社区一年34-46天)开发的。通过将每个社区特定的模型应用于其他社区来测试可转移性；通过将波士顿地区模型应用于每个社区来测试泛化能力。模型的可转移性和泛化能力在有和没有邻域特定校准的情况下进行了测试。重要的PNC预测因素(调整后的R2=0.24-0.43)包括风速和风向、温度、公路交通量和与公路边缘的距离。直接模型可迁移性较差(R2<；0.17)。当地校准的转移模型(R2=0.19-0.40)和波士顿地区的模型(调整后的R2=0.26，范围：0.13-0.30)的表现与邻里特定的模型相似；然而，当地校准的转移模型的某些系数是无法解释的。我们的结果表明，每小时PNC的邻域特定LUR模型的可转移性有限，但当使用本地数据进行校准时，一个通用模型在多个地区的表现是可以接受的。
Land use regression (LUR) models have been used to assess air pollutant exposure, but limited evidence exists on whether location-specific LUR models are applicable to other locations (transferability) or general models are applicable to smaller areas (generalizability). We tested transferability and generalizability of spatial-temporal LUR models of hourly particle number concentration (PNC) for Boston-area (MA, U.S.A.) urban neighborhoods near Interstate 93. Four neighborhood-specific regression models and one Boston-area model were developed from mobile monitoring measurements (34–46 days/neighborhood over one year each). Transferability was tested by applying each neighborhood-specific model to the other neighborhoods; generalizability was tested by applying the Boston-area model to each neighborhood. Both the transferability and generalizability of models were tested with and without neighborhood-specific calibration. Important PNC predictors (adjusted-R2 = 0.24–0.43) included wind speed and direction, temperature, highway traffic volume, and distance from the highway edge. Direct model transferability was poor (R2 < 0.17). Locally-calibrated transferred models (R2 = 0.19–0.40) and the Boston-area model (adjusted-R2 = 0.26, range: 0.13–0.30) performed similarly to neighborhood-specific models; however, some coefficients of locally calibrated transferred models were uninterpretable. Our results show that transferability of neighborhood-specific LUR models of hourly PNC was limited, but that a general model performed acceptably in multiple areas when calibrated with local data.
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影响因子：
5
作者：
Ainslie, B.;Steyn, D. G.;Rucker, M.
通讯作者：
Rucker, M.
影响因子：
11.4
作者：
Henderson, Sarah B.;Beckerman, Bernardo;Brauer, Michael
通讯作者：
Brauer, Michael
影响因子：
11.4
作者：
Abernethy, Rebecca C.;Allen, Ryan W.;Brauer, Michael
通讯作者：
Brauer, Michael
影响因子：
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作者：
Briggs, DJ;de Hoogh, C;Smallbone, K
通讯作者：
Smallbone, K
影响因子：
9.8
作者：
Hagler, Gayle S. W.;Lin, Ming-Yeng;Jackson, Laura E.
通讯作者：
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