Li Z - Search Results

1

Characterization of PM_2.5 exposure concentration in transport microenvironments using portable monitors.

Li Z, Che W, Frey HC, Lau AKH, Lin C. Li Z, et al. Environ Pollut. 2017 Sep;228:433-442. doi: 10.1016/j.envpol.2017.05.039. Epub 2017 May 27. Environ Pollut. 2017. PMID: 28558284

2

Factors affecting variability in PM_2.5 exposure concentrations in a metro system.

Li Z, Che W, Frey HC, Lau AKH. Li Z, et al. Environ Res. 2018 Jan;160:20-26. doi: 10.1016/j.envres.2017.09.006. Epub 2017 Sep 21. Environ Res. 2018. PMID: 28941800

3

Indoor Exposure to Ambient Particles and Its Estimation Using Fixed Site Monitors.

Che W, Frey HC, Li Z, Lao X, Lau AKH. Che W, et al. Among authors: li z. Environ Sci Technol. 2019 Jan 15;53(2):808-819. doi: 10.1021/acs.est.8b04474. Epub 2018 Dec 28. Environ Sci Technol. 2019. PMID: 30398338

4

A feasible experimental framework for field calibration of portable light-scattering aerosol monitors: Case of TSI DustTrak.

Li Z, Che W, Lau AKH, Fung JCH, Lin C, Lu X. Li Z, et al. Environ Pollut. 2019 Dec;255(Pt 1):113136. doi: 10.1016/j.envpol.2019.113136. Epub 2019 Sep 5. Environ Pollut. 2019. PMID: 31522000

5

A novel framework for decomposing PM_2.5 variation and demographic change effects on human exposure using satellite observations.

Lin C, Lau AKH, Lao XQ, Fung JCH, Lu X, Li Z, Ma J, Li C, Wong AHS. Lin C, et al. Among authors: li c, li z. Environ Res. 2020 Mar;182:109120. doi: 10.1016/j.envres.2020.109120. Epub 2020 Jan 7. Environ Res. 2020. PMID: 31927247

6

Differences in concentration and source apportionment of PM_2.5 between 2006 and 2015 over the PRD region in southern China.

Lu X, Chen Y, Huang Y, Lin C, Li Z, Fung JCH, Lau AKH. Lu X, et al. Among authors: li z. Sci Total Environ. 2019 Jul 10;673:708-718. doi: 10.1016/j.scitotenv.2019.03.452. Epub 2019 Apr 4. Sci Total Environ. 2019. PMID: 31003098

7

Long-term trends of atmospheric hot-and-polluted episodes (HPE) and the public health implications in the Pearl River Delta region of China.

Nduka IC, Huang T, Li Z, Yang Y, Yim SHL. Nduka IC, et al. Among authors: li z. Environ Pollut. 2022 Oct 15;311:119782. doi: 10.1016/j.envpol.2022.119782. Epub 2022 Aug 4. Environ Pollut. 2022. PMID: 35934153

8

A practical framework for predicting residential indoor PM_2.5 concentration using land-use regression and machine learning methods.

Li Z, Tong X, Ho JMW, Kwok TCY, Dong G, Ho KF, Yim SHL. Li Z, et al. Chemosphere. 2021 Feb;265:129140. doi: 10.1016/j.chemosphere.2020.129140. Epub 2020 Dec 2. Chemosphere. 2021. PMID: 33310317

9

A novel approach for assessing the spatiotemporal trend of health risk from ambient particulate matter components: Case of Hong Kong.

Li Z, Ho KF, Dong G, Lee HF, Yim SHL. Li Z, et al. Environ Res. 2022 Mar;204(Pt A):111866. doi: 10.1016/j.envres.2021.111866. Epub 2021 Aug 11. Environ Res. 2022. PMID: 34390721

10

Prediction model for air particulate matter levels in the households of elderly individuals in Hong Kong.

Tong X, Ho JMW, Li Z, Lui KH, Kwok TCY, Tsoi KKF, Ho KF. Tong X, et al. Among authors: li z. Sci Total Environ. 2020 May 15;717:135323. doi: 10.1016/j.scitotenv.2019.135323. Epub 2019 Nov 30. Sci Total Environ. 2020. PMID: 31839290

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