A5043816646- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Atmospheric chemistry and aerosols
- Atmospheric aerosols and clouds
- Water Quality Monitoring and Analysis
- Climate Change and Health Impacts
- Atmospheric and Environmental Gas Dynamics
- COVID-19 impact on air quality
- Occupational and environmental lung diseases
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Yersinia bacterium, plague, ectoparasites research
- Global Health Care Issues
- Zoonotic diseases and public health
- Solar Radiation and Photovoltaics
- Animal Ecology and Behavior Studies
- Atmospheric Ozone and Climate
- Occupational exposure and asthma
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Remote Sensing in Agriculture
- Aeolian processes and effects
- Vehicle emissions and performance
- Energy and Environment Impacts
Beijing Meteorological Bureau
2018-2024
Huayun Sounding Meteorological Technology Co. Ltd. (China)
2021-2024
China Meteorological Administration
2023-2024
Nanjing University of Information Science and Technology
2023
Tsinghua University
2017-2019
BackgroundAir pollution in Beijing has been improving through implementation of the Air Pollution Prevention and Control Action Plan (2013–17), but its implications for respiratory morbidity have not directly investigated. We aimed to assess potential effects air-quality improvements on health by investigating number cases acute exacerbations chronic obstructive pulmonary disease (COPD) advanced air each year.MethodsDaily city-wide concentrations PM10, PM2·5, PMcoarse (particulate matter...
The COVID-19 quarantine in China is thought to have reduced ambient air pollution. overall exposure of the population also depends, however, on indoor quality and human mobility activities. Here, by integrating real-time data a questionnaire survey time-activity patterns during pandemic, we show that despite decrease PM2.5 quarantine, total population-weighted considering both outdoor environments increased 5.7 μg m-3 (95% confidence interval, 1.2-11.0 m-3). increase was mainly driven...
Atmospheric chemical transport models (CTMs) have been widely used to simulate spatiotemporally resolved PM2.5 concentrations. However, CTM results are usually prone bias and errors. In this study, we improved the accuracy of predictions by developing an ensemble deep learning framework fuse model simulations with ground-level observations. The encompasses four machine-learning models, i.e., general linear model, fully connected neural network, random forest, gradient boosting machine,...
Chinese cities are experiencing severe air pollution in particular, with extremely high PM2.5 levels observed cold seasons. Accurate forecasting of occurrence such events advance can help the community to take action abate emissions and would ultimately benefit citizens. To improve quality model forecasts China, we proposed a bias-correction framework that utilized historic relationship between biases forecasted observational variables post-process current forecasts. The consists four...
A small number of studies suggested that air pollution was associated with idiopathic pulmonary fibrosis (IPF) exacerbation, incidence and mortality. However, no to date were conducted in regions where is substantial. We aimed investigate whether there are associations between acute increases hospitalization patients a confirmed primary diagnosis IPF Beijing.Daily count hospitalizations (International Classification Disease-10th Revision, J84.1) obtained from an administrative database for...
The co-occurrence of fine particulate matter (PM2.5) and ozone (O3) pollution during the warm season has become a growing public health concern. interaction between PM2.5 O3 its contribution to disease burden associated with co-pollution not been thoroughly examined. We collected data on hospital admissions for respiratory diseases from city-wide discharge database in Beijing 2013 2019. City-wide 24-h mean daily maximum 8-h were averaged 35 monitoring stations across Beijing. Conditional...
Plague remains a threat to public health and is considered as re-emerging infectious disease today. Rodents play an important role major hosts in plague persistence driving outbreaks natural foci; however, few studies have tested the association between host diversity ecosystems human risk. Here we use zero-inflated generalized additive models examine of species richness with presence (where could occur) intensity (the average number annual cases when they occurred) China during Third...
Few studies investigated relative contributions of PM2.5 concentration at multiple time-scales (short-term, seasonal and long-term periods) on the hospitalisation risk for acute exacerbation COPD (AECOPD). In this study, we specified discriminated short-term, trend effects AECOPD in Beijing between 2010 2019. Daily observations from US Embassy Jan 1, 2010, to Dec 31, 2019 (3652 days) were decomposed components by using robust Kolmogorov-Zurbenko filter. During study period, daily counts...
In this study, we used Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) aerosol products acquired from 2006 to 2016 identify global long-range transport pathways, including the trans-Atlantic, trans-Pacific, and trans-Arabian Sea pathways. Deep analyses were subsequently conducted focusing on two significant paths within range of trans-Pacific pathway, which generated a three-stage conceptual model mainly identifying aerosols Taklimakan Desert North China Plain. The results show...
The COVID-19 quarantine in China is thought to have been beneficial for reducing the population exposure ambient air pollution. overall also depends, however, on indoor quality and human mobility activities, which changed during pandemic. Here we integrate real-time data, questionnaire survey during-pandemic activity patterns, advanced modeling techniques, an model. We first show a decrease of 16.7 μg∙m-3 national average population-weighted PM2.5 (i.e., one month following start Spring...
Abstract. Well-estimated air pollutant concentration fields are critically important to compensate for observations that only sparsely available, especially over non-urban areas. Previous data fusion methods generally used statistical models relate of target variables proxy and supporting at known stations. In this study, we developed a new paradigm by designing deep-learning model framework workflow learn multivariable spatial correlations from chemical transport (CTM) simulations, before...
Abstract. Chemical transport models (CTM) have wide and profound applications in air quality simulations managements. However, its are often constrained by high computational burdens. In this study, we developed a neural network based CTM model (FastCTM) to efficiently simulate ten pollutant composition variables, including major PM2.5 species of SO42-, NO3-, NH4+, organic matters other inorganic components, coarse part PM10, SO2, NO2, CO O3. The FastCTM has principle-informed structure...
Plague, a devastating infectious disease caused by Yersinia pestis, has killed millions of people in the past and is still active natural foci world today. Understanding spatiotemporal patterns plague outbreaks history critically important, as it may help to facilitate prevention control potential future outbreaks. In this study, we explored clusters human occurrences China using machine-learning clustering method reconstructed transmission pattern during Third Pandemic (1772-1964). We...
Abstract Accurate and frequent cloud‐base height calculation is beneficial to solar farming agricultural activities also indicative for future meteorology conditions. This study used paired whole‐sky imagers estimate with high quality. The obtained quality assured cloud base feature points a robust Shi‐Tomasi‐Scale Invariant Feature Transform algorithm before employing double‐eye locating approach, which fast easy implement operationally. estimated heights have spatial coverages. Evaluated...
Background: Air pollution levels in Beijing have been improving through implementation of the Pollution Prevention and Control Action Plan (2013-2017) but implication for respiratory morbidity not directly investigated. Methods: Daily city-wide mean concentrations PM10, PM2·5, NO2, SO2, CO Ozone 2013-17 were averaged from 35 monitoring stations across city. PMcoarse was derived by subtracting PM2·5 PM10. A generalized additive Poisson time-series model applied to estimate percentage change...
Aerosol vertical profiles play an important role in understanding the global aerosol column integrated characters. This study focuses on expressing AOD distribution from MODIS AODs (used as total sky), CALIOP extinction (applied to express structures) and reanalysis PBLH threshold altitude for different spatial layers divided). For seasonal averaged proportions of PBLH, peak value over land appears MAM (74.1%) with valley DJF (65.4%). Over ocean, values appear (76.1%) (71%), correspondingly....