435 related articles for article (PubMed ID: 35328922)
41. Impact of fine particulate fluctuation and other variables on Beijing's air quality index.
Chen B; Lu S; Li S; Wang B
Environ Sci Pollut Res Int; 2015 Apr; 22(7):5139-51. PubMed ID: 25563832
[TBL] [Abstract][Full Text] [Related]
42. Spatial-Temporal Evolution of PM
Wang Y; Duan X; Wang L
Int J Environ Res Public Health; 2019 Mar; 16(6):. PubMed ID: 30893835
[TBL] [Abstract][Full Text] [Related]
43. [Variation characteristics and influencing factors of air pollution index in China].
Li XF; Zhang MJ; Wang SJ; Zhao AF; Ma Q
Huan Jing Ke Xue; 2012 Jun; 33(6):1936-43. PubMed ID: 22946179
[TBL] [Abstract][Full Text] [Related]
44. Understanding the Patterns and Drivers of Air Pollution on Multiple Time Scales: The Case of Northern China.
Liu Y; Wu J; Yu D; Hao R
Environ Manage; 2018 Jun; 61(6):1048-1061. PubMed ID: 29564496
[TBL] [Abstract][Full Text] [Related]
45. Analysis of air quality characteristics of Beijing-Tianjin-Hebei and its surrounding air pollution transport channel cities in China.
Xiao C; Chang M; Guo P; Gu M; Li Y
J Environ Sci (China); 2020 Jan; 87():213-227. PubMed ID: 31791494
[TBL] [Abstract][Full Text] [Related]
46. Observations on the particle pollution of the cities in China in the Coronavirus 2019 closure: Characteristics and lessons for environmental management.
Yao H; Niu G; Zhang Q; Jiang Q; Lu W; Liu H; Ni T
Integr Environ Assess Manag; 2021 Sep; 17(5):1014-1024. PubMed ID: 33565701
[TBL] [Abstract][Full Text] [Related]
47. The varying driving forces of PM
Liu Q; Wu R; Zhang W; Li W; Wang S
Environ Int; 2020 Dec; 145():106168. PubMed ID: 33049548
[TBL] [Abstract][Full Text] [Related]
48. How Do Economic Growth, Urbanization, and Industrialization Affect Fine Particulate Matter Concentrations? An Assessment in Liaoning Province, China.
Shi T; Hu Y; Liu M; Li C; Zhang C; Liu C
Int J Environ Res Public Health; 2020 Jul; 17(15):. PubMed ID: 32731614
[TBL] [Abstract][Full Text] [Related]
49. Spatial and Temporal Variation of Atmospheric Particulate Matter in Bangalore: A Technology-Intensive Region in India.
Devaraj S; Tiwari S; Ramaraju HK; Dumka UC; Sateesh M; Parmita P; Shivashankara GP
Arch Environ Contam Toxicol; 2019 Aug; 77(2):214-222. PubMed ID: 31168647
[TBL] [Abstract][Full Text] [Related]
50. [Evaluation of Air Pollution Characteristics and Air Quality Improvement Effect in Beijing and Chengdu].
Dang Y; Zhang XL; Rao XQ; Kang P; He JJ; Lu NS; Hua M; Xiang WG
Huan Jing Ke Xue; 2021 Aug; 42(8):3622-3632. PubMed ID: 34309249
[TBL] [Abstract][Full Text] [Related]
51. Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital cities based on in situ air quality monitoring data from China National Environmental Monitoring Center.
Zhao S; Yu Y; Yin D; He J; Liu N; Qu J; Xiao J
Environ Int; 2016 Jan; 86():92-106. PubMed ID: 26562560
[TBL] [Abstract][Full Text] [Related]
52. Spatiotemporal characterization of aerosols and trace gases over the Yangtze River Delta region, China: impact of trans-boundary pollution and meteorology.
Javed Z; Bilal M; Qiu Z; Li G; Sandhu O; Mehmood K; Wang Y; Ali MA; Liu C; Wang Y; Xue R; Du D; Zheng X
Environ Sci Eur; 2022; 34(1):86. PubMed ID: 36097441
[TBL] [Abstract][Full Text] [Related]
53. Spatial and temporal variation of particulate matter and gaseous pollutants in 26 cities in China.
Chai F; Gao J; Chen Z; Wang S; Zhang Y; Zhang J; Zhang H; Yun Y; Ren C
J Environ Sci (China); 2014 Jan; 26(1):75-82. PubMed ID: 24649693
[TBL] [Abstract][Full Text] [Related]
54. Investigating air pollutant concentrations, impact factors, and emission control strategies in western China by using a regional climate-chemistry model.
Yang J; Kang S; Ji Z; Yin X; Tripathee L
Chemosphere; 2020 May; 246():125767. PubMed ID: 31927371
[TBL] [Abstract][Full Text] [Related]
55. Particulate matter pollution in Chinese cities: Areal-temporal variations and their relationships with meteorological conditions (2015-2017).
Li X; Song H; Zhai S; Lu S; Kong Y; Xia H; Zhao H
Environ Pollut; 2019 Mar; 246():11-18. PubMed ID: 30529935
[TBL] [Abstract][Full Text] [Related]
56. Spatio-temporal characteristics of air pollutants over Xinjiang, northwestern China.
Rupakheti D; Yin X; Rupakheti M; Zhang Q; Li P; Rai M; Kang S
Environ Pollut; 2021 Jan; 268(Pt A):115907. PubMed ID: 33120351
[TBL] [Abstract][Full Text] [Related]
57. The relationships between surface-column aerosol concentrations and meteorological factors observed at major cities in the Yangtze River Delta, China.
Ding H; Kumar KR; Boiyo R; Zhao T
Environ Sci Pollut Res Int; 2019 Dec; 26(36):36568-36588. PubMed ID: 31728952
[TBL] [Abstract][Full Text] [Related]
58. Evaluation of PM10 forecasting based on the artificial neural network model and intake fraction in an urban area: a case study in Taiyuan City, China.
Zhang H; Liu Y; Shi R; Yao Q
J Air Waste Manag Assoc; 2013 Jul; 63(7):755-63. PubMed ID: 23926845
[TBL] [Abstract][Full Text] [Related]
59. Spatiotemporal variations of air pollution and population exposure in Shandong Province, eastern China, 2014-2018.
Zhong X; Zhao Y; Sha J; Liang H; Wu P
Environ Monit Assess; 2022 Jan; 194(2):114. PubMed ID: 35064834
[TBL] [Abstract][Full Text] [Related]
60. Quantifying the Spatiotemporal Heterogeneity of PM
Yang L; Qin C; Li K; Deng C; Liu Y
Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36673938
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]