National scale spatiotemporal land-use regression model for PM2.5, PM10 and NO2 concentration in China

Zhang, Zhenyu; Wang, Jianbing; Hart, Jaime E.; Laden, Francine; Zhao, Chen; Li, Tiantian; Zheng, Pei-Wen; Li, Die; Yu, Zhenhua; Chen, Kun

doi:10.1016/j.atmosenv.2018.08.046

Cited by 95 publications

(46 citation statements)

References 49 publications

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“…Organization and Chinese authorities 31 . With the acceleration of economic and industrial development, air pollution will most likely be an inevitable issue, particularly in the developing countries.…”

Section: Discussionmentioning

confidence: 99%

Short-term Exposure of PM2.5 and PM10 Increases the Number of Outpatients with Eczema in Guangzhou: A Time-Series Study

Ji¹,

Yang²,

Xu³

et al. 2020

Preprint

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Background: The worldwide prevalence of eczema has continued to rise over the past decades.This has led to emphasis on the association between air pollution and eczema. This study investigated the relationship between daily exposure to air pollution and the number of eczema outpatient visits in Guangzhou with the overarching goal of providing novel insights on the interventions for eczema aggravation and prevention.Methods: Daily air pollution data, meteorological data, and number of eczema outpatients were obtained from 18th January 2013 to 31st December 2018 in Guangzhou. A generalized additive model with Poisson distribution was used to assess the association between the number of eczema outpatient visits and short-term exposure of PM2.5 and PM10. In addition, the effect of PM2.5 and PM10 by age (<65 years, ≥65 years) and gender was evaluated. Results: A total of 293,343 eczema outpatient visits were recorded. The obtained results indicated that a 10μg/m3 increase of the same day/ lag 1 day/ lag 2 days PM2.5 was associated with increments of 2.33%(RR=1.0233, 95%CI: 1.0206-1.0260, P<0.001), 1.81% (RR=1.0181, 95%CI: 1.0153-1.0209, P<0.001), and 0.95%(RR=1.0095, 95%CI: 1.0068-1.0123, P<0.001) in eczema outpatients risk, respectively. On the other hand, a 10μg/m3 increase of PM10 was associated with eczema outpatients risk increments of 1.97%(RR=1.0197, 95%CI: 1.0177-1.0217, P<0.001), 1.65%(RR=1.0165, 95%CI: 1.0145-1.0186, P<0.001), and 0.98%(RR=1.0098, 95%CI: 1.0078-1.0118, P<0.001), respectively. Furthermore, the effects of PM on the increment of eczema were similar in the male and female groups. Results obtained after age stratification analyses indicated that the strongest positive association between PM2.5 exposure and eczema were observed at lag 0 day with the percent changes being 4.72% (95%CI, 4.18-5.28%, P<0.001), 1.92%(95%CI: 1.65-2.19%, P<0.001) and 3.34% (95%CI, 2.9- 3.78%, P<0.001) in <12 years old, ≥12 and <65years old, and ≥65 years old groups, respectively. Conclusion: Short-term exposure of PM2.5 and PM10 increases the number of eczema outpatients especially among children and the elderly. This study has provided a further understanding of the relationship between air pollutants and eczema, which will benefit disease prevention and lower the health burden.

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Section: Discussionmentioning

confidence: 99%

Short-term Exposure of PM2.5 and PM10 Increases the Number of Outpatients with Eczema in Guangzhou: A Time-Series Study

Ji¹,

Yang²,

Xu³

et al. 2020

Preprint

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“…Additional studies have explored the correlation between PM 2.5 concentration and land-use distribution by using a land-use regression model (LUR). Zhang et al (2018) explored and analyzed the relationship between land use and PM 2.5 concentration in China based on ground monitoring data and spatial econometric models and showed that the construction land and road length in the 1-km buffer were positively correlated with the PM 2.5 concentration, while the grassland area and forest area in the buffer zone were negatively correlated with the PM 2.5 concentration [ 13 ]. Yang et al (2017) analyzed the impact of land-use distribution on PM 2.5 in Nanchang city using a linear regression model and proved that land-use distribution had a significant effect on PM 2.5 concentration.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation of the Impact of Land-Use Distribution on PM2.5 in Weifang: Seasonal Variations

Zhang

Dai

et al. 2020

IJERPH

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As air pollution becomes highly focused in China, the accurate identification of its influencing factors is critical for achieving effective control and targeted environmental governance. Land-use distribution is one of the key factors affecting air quality, and research on the impact of land-use distribution on air pollution has drawn wide attention. However, considerable studies have mostly used linear regression models, which fail to capture the nonlinear effects of land-use distribution on PM2.5 (fine particulate matter with a diameter less than or equal to 2.5 microns) and to show how impacts on PM2.5 vary with land-use magnitudes. In addition, related studies have generally focused on annual analyses, ignoring the seasonal variability of the impact of land-use distribution on PM2.5, thus leading to possible estimation biases for PM2.5. This study was designed to address these issues and assess the impacts of land-use distribution on PM2.5 in Weifang, China. A machine learning statistical model, the boosted regression tree (BRT), was applied to measure nonlinear effects of land-use distribution on PM2.5, capture how land-use magnitude impacts PM2.5 across different seasons, and explore the policy implications for urban planning. The main conclusions are that the air quality will significantly improve with an increase in grassland and forest area, especially below 8% and 20%, respectively. When the distribution of construction land is greater than around 10%, the PM2.5 pollution can be seriously substantially increased with the increment of their areas. The impact of gardens and farmland presents seasonal characteristics. It is noted that as the weather becomes colder, the inhibitory effect of vegetation distribution on the PM2.5 concentration gradually decreases, while the positive impacts of artificial surface distributions, such as construction land and roads, are aggravated because leaves drop off in autumn (September–November) and winter (December–February). According to the findings of this study, it is recommended that Weifang should strengthen pollution control in winter, for instance, expand the coverage areas of evergreen vegetation like Pinus bungeana Zucc. and Euonymus japonicus Thunb, and increase the width and numbers of branches connecting different main roads. The findings also provide quantitative and optimal land-use planning and strategies to minimize PM2.5 pollution, referring to the status of regional urbanization and greening construction.

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“…After detailed review, few studies were found to have evaluated the economic value of the air that we breathe (Table 1). Here, we employed the value of the provisioning of clean air as the avoided cost of reducing the air pollution (mainly refers to particulate matter, defined as PM2.5 [21]), that is, $0.018 m 3 •person −1 •day −1 as the unit value of air that we breathe. 3.2.…”

Section: Atmospheric Servicesmentioning

confidence: 99%

Economic Valuation of Earth’s Critical Zone: A Pilot Study of the Zhangxi Catchment, China

et al. 2020

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Earth’s critical zone is the physical layer contained between the top of the vegetation canopy and the depth of the circulating groundwater below the land surface. The critical zone is defined within the study of Earth natural sciences as the unique terrestrial biophysical system that supplies most life-sustaining resources for humans. A feature of this specific physical system that is defined by geographical locale is the interactions of people with the vertically-connected biophysical flows and transformations (energy, material, biodiversity) that contribute to human welfare by delivering, both directly and indirectly, critical zone services to humankind. We have characterized these interactions by considering the full extent of the critical zone through the application of economic valuation methods. We estimated the current economic value of 14 critical zone services for 5 biophysical components of Earth’s critical zone, based on data collected from the Zhangxi catchment of Ningbo city located in the Yangtze River Delta region of China and from several additional published studies. For the full vertical extent of Earth’s critical zone bounded by the Zhangxi catchment, the value, most of which is outside the market, was estimated to be USD 116 million in 2018. Valuation of goods and services was delineated for benefits arising from key components of the critical zone physical system. The estimated value of the atmospheric component of Earth’s critical zone was USD 5 million; the vegetation component value was USD 96 million; the soil component value was USD 8 million; the surface water component value was USD 5 million; and the groundwater component value was USD 2 million. Because of the nature of the uncertainties and lack of data for the full range of identified services, these values are considered a minimum estimate. Gross domestic product in the Zhangxi catchment was around USD 431 million in 2018. These results illustrate, for one location, the range of services that arise when considering the full depth of Earth’s critical zone, the data needs for valuing this range of services, and the conceptual and potential methodological advances, and the challenges, that exist at the disciplinary interface between Earth natural sciences and applied economics.

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National scale spatiotemporal land-use regression model for PM2.5, PM10 and NO2 concentration in China

Cited by 95 publications

References 49 publications

Short-term Exposure of PM2.5 and PM10 Increases the Number of Outpatients with Eczema in Guangzhou: A Time-Series Study

Short-term Exposure of PM2.5 and PM10 Increases the Number of Outpatients with Eczema in Guangzhou: A Time-Series Study

Investigation of the Impact of Land-Use Distribution on PM2.5 in Weifang: Seasonal Variations

Economic Valuation of Earth’s Critical Zone: A Pilot Study of the Zhangxi Catchment, China

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