Showing results (51-60 of 158) with videos related to

Sort By:
Pageof 16
The Science of the Total Environment|November 21, 2022
Understanding the nocturnal ozone increase in Nanjing, China: Insights from observations and numerical simulationsKang Wang, Fangjian Xie, Ishaq Dimeji Sulaymon, et al.
The Science of the Total Environment|December 31, 2013
Evaluation of a seven-year air quality simulation using the Weather Research and Forecasting (WRF)/Community Multiscale Air Quality (CMAQ) models in the eastern United StatesHongliang Zhang, Gang Chen, Jianlin Hu, et al.
Environmental Science & Technology|February 21, 2014
Identifying PM2.5 and PM0.1 sources for epidemiological studies in CaliforniaJianlin Hu, Hongliang Zhang, Shuhua Chen, et al.
Environmental Health Perspectives|January 31, 2015
Associations of mortality with long-term exposures to fine and ultrafine particles, species and sources: results from the California Teachers Study CohortBart Ostro, Jianlin Hu, Debbie Goldberg, et al.
The Science of the Total Environment|November 5, 2022
Riparian areas as a conservation priority under climate changeXiaoyan Zhang, Xiuqin Ci, Jianlin Hu, et al.
Environmental Pollution (Barking, Essex : 1987)|August 23, 2017
Source apportionment of PM<sub>2.5</sub> in North India using source-oriented air quality modelsHao Guo, Sri Harsha Kota, Shovan Kumar Sahu, et al.
Environmental Pollution (Barking, Essex : 1987)|September 15, 2021
Long-term health impact of PM<sub>2.5</sub> under whole-year COVID-19 lockdown in ChinaXin Hao, Jiandong Li, Huijun Wang, et al.
International Journal of Hygiene and Environmental Health|December 30, 2021
Assessing short-term impacts of PM<sub>2.5</sub> constituents on cardiorespiratory hospitalizations: Multi-city evidence from ChinaYuanyuan Zhang, Linjiong Liu, Liansheng Zhang, et al.
The Science of the Total Environment|November 11, 2021
Diagnostic analysis of regional ozone pollution in Yangtze River Delta, China: A case study in summer 2020Lin Li, Fangjian Xie, Jingyi Li, et al.
Environmental Science & Technology|April 4, 2014
Predicting primary PM2.5 and PM0.1 trace composition for epidemiological studies in CaliforniaJianlin Hu, Hongliang Zhang, Shu-Hua Chen, et al.
Pageof 16