文献类型：期刊文献

英文题名：Land Use Regression Models for Particle Number Concentration and Black Carbon in Lanzhou, Northwest of China

作者：Fang, Shuya[1];Zhou, Tian[1];Jin, Limei[2];Zhou, Xiaowen[1];Li, Xingran[1];Song, Xiaokai[1];Wang, Yufei[1];Veintimilla, Salvador Garcia-Ayllon

第一作者：Fang, Shuya

通信作者：Zhou, T[1]

机构：[1]Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China;[2]Gansu Univ Chinese Med, Sch Publ Hlth, Lanzhou 730000, Peoples R China

第一机构：Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China

通信机构：[1]corresponding author), Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China.

年份：2023

卷号：15

期号：17

外文期刊名：SUSTAINABILITY

收录：;Scopus(收录号：2-s2.0-85170203098);WOS:【SSCI(收录号:WOS:001144841600001)，SCI-EXPANDED(收录号:WOS:001144841600001)】；

基金：We thank the Lanzhou Ecology and Environment Bureau for providing the Lanzhou University superstation measurements. We thank Xiangyu Xu for helpful guidance on model building and acknowledge all anonymous reviewers for their insightful and valuable comments.

语种：英文

外文关键词：land use regression; mobile monitoring; particle number concentration; black carbon

摘要：It is necessary to predict the spatial variation in particle number concentration (PNC) and black carbon (BC) because they are considered air pollutants associated with traffic and many diseases. In this study, land use regression (LUR) models for PNC and BC were developed based on a mobile monitoring campaign in January 2020 in Lanzhou, and the performance of models was evaluated with hold-out validation (HV) and leave-one-out cross-validation (LOOCV). The results show that the adjusted R-2 of the LUR models for PNC and BC are 0.51 and 0.53, respectively. The R-2 of HV and LOOCV are 0.43 and 0.44, respectively, for the PNC model and 0.42 and 0.50, respectively, for the BC model. The performances of the LUR models are of a moderate level. The spatial distribution of the predicted PNC is related to the distance from water bodies. The high PNC is related to industrial pollution. The BC concentration decreases from south to north. High BC concentrations are associated with freight distribution centres and coal-fired power plants. The range of PNC particle sizes in this study is larger than in most studies. As one of few studies in Lanzhou to develop LUR models of air pollutants, it is important to accurately estimate pollutant concentrations to improve air quality and provide health benefits for residents.