Zhen et al., 2023 - Google Patents
Transport matrix of PM2. 5 in Beijing-Tianjin-Hebei and Yangtze River Delta regions: Assessing the contributions from emission reduction and meteorological …Zhen et al., 2023
- Document ID
- 12924159982826525693
- Author
- Zhen J
- Guan P
- Yang R
- Zhai M
- Publication year
- Publication venue
- Atmospheric Environment
External Links
Snippet
Both meteorological changes and emission control have significant impacts on PM 2.5 concentration and regional transport contribution, where it is important to clarify the relationship among them for air pollution control. In this paper, the WRF-CAMx coupled with …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Cheng et al. | Dominant role of emission reduction in PM 2.5 air quality improvement in Beijing during 2013–2017: a model-based decomposition analysis | |
Yousefian et al. | Temporal variations of ambient air pollutants and meteorological influences on their concentrations in Tehran during 2012–2017 | |
Wang et al. | Responses of PM2. 5 and O3 concentrations to changes of meteorology and emissions in China | |
Chen et al. | Evaluating the “2+ 26” regional strategy for air quality improvement during two air pollution alerts in Beijing: variations in PM 2.5 concentrations, source apportionment, and the relative contribution of local emission and regional transport | |
Duan et al. | Influencing factors of PM2. 5 and O3 from 2016 to 2020 based on DLNM and WRF-CMAQ | |
Huang et al. | Numerical simulation and process analysis of typhoon‐related ozone episodes in Hong Kong | |
Yin et al. | Source contributions to PM2. 5 in Guangdong province, China by numerical modeling: Results and implications | |
Cheng et al. | Spatio-temporal variations of PM2. 5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing | |
Liu et al. | Fine particulate matter pollution in North China: Seasonal-spatial variations, source apportionment, sector and regional transport contributions | |
Li et al. | Modelling air quality during the EXPLORE-YRD campaign–Part II. Regional source apportionment of ozone and PM2. 5 | |
Jiang et al. | Coordination between sulfur dioxide pollution control and rapid economic growth in China: Evidence from satellite observations and spatial econometric models | |
Li et al. | An integrated process rate analysis of a regional fine particulate matter episode over Yangtze River Delta in 2010 | |
Ma et al. | Investigating impact of emission inventories on PM2. 5 simulations over North China Plain by WRF-Chem | |
Sun et al. | Meteorology impact on PM 2.5 change over a receptor region in the regional transport of air pollutants: Observational study of recent emission reductions in central China | |
Du et al. | Cross-state air pollution transport calls for more centralization in India's environmental federalism | |
Yang et al. | Impacts of aerosol–photolysis interaction and aerosol–radiation feedback on surface-layer ozone in North China during multi-pollutant air pollution episodes | |
Wen et al. | The impacts of meteorology on source contributions of air pollution in winter in Beijing, 2015–2017 changes | |
Tao et al. | Spatiotemporal variations of air pollutants based on ground observation and emission sources over 19 Chinese urban agglomerations during 2015–2019 | |
Yang et al. | Changes in concentrations of fine and coarse particles under the CO2-induced global warming | |
Zhen et al. | Transport matrix of PM2. 5 in Beijing-Tianjin-Hebei and Yangtze River Delta regions: Assessing the contributions from emission reduction and meteorological conditions | |
Cheng et al. | Application of trajectory clustering and source apportionment methods for investigating trans-boundary atmospheric PM10 pollution | |
Zhang et al. | Estimation of secondary PM< sub> 2.5</sub> in China and the United States using a multi-tracer approach | |
Dong et al. | Effects of anthropogenic precursor emissions and meteorological conditions on PM2. 5 concentrations over the “2+ 26” cities of northern China | |
Gu et al. | High-resolution regional emission inventory contributes to the evaluation of policy effectiveness: a case study in Jiangsu Province, China | |
He et al. | Multivariate statistical analysis of potentially toxic elements in soils under different land uses: Spatial relationship, ecological risk assessment, and source identification |