Construction of Multipollutant Air Quality Health Index and Susceptibility Analysis Based on Mortality Risk in Beijing, China

Wang, Yu; Ding, Ding; Ji, Xiaohui; Zhang, Xuelei; Zhou, Pengyao; Dou, Yan; Mo, Dan; Shu, Mushui

doi:10.3390/atmos13091370

Cited by 4 publications

(2 citation statements)

References 37 publications

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“…The Generalized Additive Model (GAM), a traditional mode of time series analysis, was used to estimate the exposure-response relationship between regional air pollutant concentrations and daily mortality. The basic modeling strategy of time series analysis is the same as in the previous study [76]. Based on a zero concentration of air pollutants, an exposure-response model was used to calculate the excess mortality caused by the daily PM 10 pollution level during the study period, as shown in Equation ( 10):…”

Section: Excess Mortalitymentioning

confidence: 99%

Characterization and Source Apportionment of PM in Handan—A Case Study during the COVID-19

Shu

Wang

et al. 2023

Atmosphere

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Handan is a typical city affected by regional particulate pollution. In order to investigate particulate matter (PM) characterization, source contributions and health risks for the general populations, we collected PM samples at two sites affected by a pollution event (12–18 May 2020) during the COVID-19 pandemic and analyzed the major components (SNA, OCEC, WSIIs, and metal elements). A PCA-MLR model was used for source apportionment. The carcinogenic and non-carcinogenic risks caused by metal elements in the PM were assessed. The results show that the renewal of old neighborhoods significantly influences local PM, and primarily the PM10; the average contribution to PM10 was 27 μg/m3. The source apportionment has indicated that all other elements came from dust, except Cd, Pb and Zn, and the contribution of the dust source to PM was 60.4%. As PM2.5 grew to PM10, the PM changed from basic to acidic, resulting in a lower NH4+ concentration in PM10 than PM2.5. The carcinogenic risk of PM10 was more than 1 × 10−6 for both children and adults, and the excess mortality caused by the renewal of the community increased by 23%. Authorities should pay more attention to the impact of renewal on air quality. The backward trajectory and PSCF calculations show that both local sources and short-distance transport contribute to PM—local sources for PM10, and short-distance transport in southern Hebei, northern Henan and northern Anhui for PM2.5, SO2 and NO2.

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Section: Excess Mortalitymentioning

confidence: 99%

Characterization and Source Apportionment of PM in Handan—A Case Study during the COVID-19

Shu

Wang

et al. 2023

Atmosphere

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“…Air pollution is both an environmental and a public health issue, especially in developing countries. Short-or long-term exposure to polluted environments can have serious adverse effects on human health, and air pollution is responsible for increased mortality and hospitalization rates, reduced life expectancy, and epidemics of asthma and allergies [3]. Air pollution is also an important factor affecting climate change and ecohydrological processes.…”

Section: Introduction 1background and Motivationmentioning

confidence: 99%

A Novel Combined Model for Air Quality Index Forecasting in Changchun

Chen,

Wang,

Deng

2023

Atmosphere

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With the rapid development of the economy and continuous improvement in people’s living standards, the predictions of the air quality index have attracted wide attention. In this paper, a new feature selection method (Pearson-MI) and a combined model construction method (modified inverse variance method) were proposed to study the air quality index (AQI) and its influencing factors in Changchun. The Pearson-MI method selects the factors that affect the AQI of Changchun City from many influencing factors. This method reduces the RMSE of the LSTM model and XGBoost model by 27% and 5% and the MAE by 41% and 5%, respectively. A model that combines XGBoost, SVR, RF, and LSTM was constructed using the inverse variance method to predict the air quality index of Changchun City. The modified combined model resulted in a 2% reduction in RMSE and a 0.6% reduction in MAE compared with the unmodified combined model. The numerical results of our study show that the prediction accuracy of the modified combined model is obviously higher than that of the basic model, and the prediction accuracy is further improved under the Pearson-MI feature selection.

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Integrated health risk assessment of ozone and nitrogen dioxide pollution during the cold and warm seasons in the Beijing–Tianjin–Hebei region

Wang,

Ding,

Dou

et al. 2024

Air Qual Atmos Health

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Construction of Multipollutant Air Quality Health Index and Susceptibility Analysis Based on Mortality Risk in Beijing, China

Cited by 4 publications

References 37 publications

Characterization and Source Apportionment of PM in Handan—A Case Study during the COVID-19

Characterization and Source Apportionment of PM in Handan—A Case Study during the COVID-19

A Novel Combined Model for Air Quality Index Forecasting in Changchun

Integrated health risk assessment of ozone and nitrogen dioxide pollution during the cold and warm seasons in the Beijing–Tianjin–Hebei region

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