31.Wang, J., Ni, R., Lin, J., Tan, X., Tong, D., Zhao, H., Zhang, Q., Lu, Z., Streets, D., Pan, D. and Huang, Y., Guan, D., Feng, K., Yan, Y., Hu, Y., Liu, M., Chen, L., and Liu, P., 2019. Socioeconomic and atmospheric factors affecting aerosol radiative forcing: Production-based versus consumption-based perspective. Atmospheric Environment, 200, pp.197-207.
发布时间：2021-06-03 点击次数：
上一条：30.Xue, T., Zheng, Y., Tong, D., Zheng, B., Li, X., Zhu, T. and Zhang, Q., 2019. Spatiotemporal continuous estimates of PM2.5 concentrations in China, 2000–2016: A machine learning method with inputs from satellites, chemical transport model, and ground observations. Environment international, 123, pp.345-357.
下一条：32.Zheng, B., Tong, D., Li, M., Liu, F., Hong, C., Geng, G., Li, H., Li, X., Peng, L., Qi, J. Yan, L., Zhang, Y., Zhao, H., Zheng, Y., He, K., and Zhang, Q., 2018. Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions. Atmospheric Chemistry and Physics, 18(19), pp.14095-14111.
