Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Despite the alleviation of particulate matter (PM), the ambient ozone (O) concentration is continuously increasing in Hunan province where the investigation of O pollution has been rarely reported. Accordingly, the spatio-temporal evolution of O pollution was first analyzed based on hourly air quality data observed by national monitoring stations from 2015 to 2020 over 14 cities in Hunan province. Afterwards, the combination of meteorological data from the European Center for Medium-range Weather Forecast (ECMWF) and the generalized additive model (GAM) was applied to investigate the driving factors of the O long-term trend during this period. The results presented obvious diurnal, monthly, and seasonal characteristics of O variations. High O concentrations occurred in May and September monthly, and the peak O season was autumn. Furthermore, the 90 percentile O increased at a rate of 4.7 μg·(m·a) temporally, and high O values mainly occurred in the north-eastern region spatially, in contrast to the low O values in the western region. The modeling results indicated that the increase in O was mainly ascribed to precursor emissions. Furthermore, meteorology promoted a rise in O with the impact magnitude of 1 μg·(m·a). Remarkably, meteorology accelerated the O increases in spring, summer, and the eastern region, whereas it restrained increases in autumn, winter, and the northwest. The effect of meteorology on PM was different from O during this period. Overall, this study highlighted the importance of meteorological impacts when regulating emission reduction measures for O abatement. It required greater effort regarding O mitigation to offset the side-effect from meteorology in meteorology-sensitive seasons and regions. Additionally, the regional corporation is indispensable to reduce O transportation from upwind.

Download full-text PDF

Source
http://dx.doi.org/10.13227/j.hjkx.202104017DOI Listing

Publication Analysis

Top Keywords

spatio-temporal evolution
8
hunan province
8
[analysis ozone
4
ozone pollution
4
pollution spatio-temporal
4
evolution characteristics
4
characteristics identification
4
identification long-term
4
long-term variation
4
variation driving
4

Similar Publications

Above-ground biomass contributes a large proportion of mangrove carbon stock; however, spatio-temporal dynamics of biomass are poorly understood in carbonate settings of the Southern Hemisphere. This influences the capacity to accurately project the effects of accelerating sea-level rise on this important carbon store. Here, above-ground biomass and productivity dynamics were quantified across mangrove age zones dominated by , spanning a tidal gradient atop a reef platform at Low Isles, Great Barrier Reef, Australia.

View Article and Find Full Text PDF

Background: In August 1995, necropsies on post-weaning piglets from the CA-CART farm in the province of Cartago, Costa Rica, revealed respiratory lesions, pleuritis, peritonitis, and arthritis. Skin lesions were also observed, progressing to scabs. A subsequent outbreak in 1996 prompted antibiotic administration.

View Article and Find Full Text PDF

To address the pressure of emissions reduction in urban residential blocks (RBs), this study takes 99 micro-scale RBs in Hongqiao District, Tianjin as the objects, aiming to reveal the driving mechanism of built environmental factors (BEF) on residential blocks carbon emissions (RBCE) and explore planning strategies that balance carbon reduction and health benefits. By integrating spatial statistical analysis and high-precision machine learning models, the system has systematically revealed the spatio-temporal evolution laws, spatial differentiation characteristics and driving mechanisms of BEF on RBCE. Key findings include: (1) From 2021 to 2023, both the RBCE, residential blocks carbon emissions intensity (RBCEI), and average household carbon emissions (RBCE-AH) showed a "first rise then fall" fluctuation, with an overall 5.

View Article and Find Full Text PDF

Comprehensive control of fine particulate matter (PM) and ozone (O) is essential for improving environmental quality. In this study, spatiotemporal pattern mining methods were used to study the spatiotemporal evolution of PM and O in Shandong Province, and Kolmogorov‒Zurbenko (KZ) filtering and stepwise regression methods were integrated to study their influencing factors. The results revealed that (1) from 2014-2023, the PM concentrations in Shandong were high in winter and low in summer, forming a "U"-shaped pattern, and the O concentration showed a seasonal pattern of summer > spring > fall > winter, revealing an inverted "U"-shaped pattern.

View Article and Find Full Text PDF

Taking a mine in Guizhou Province as the research background, a combination of similar simulation experiments and numerical simulation was used to analyse the spatial distribution of overburden collapse and the development of fissures during the mining process. The results indicate that: (1) During the mining of the upper coal seam, the overlying rock is not affected by faults, the 'three zones' are significantly developed, the collapse morphology exhibits a typical 'trapezoidal' structure, and the fractures undergo stages of formation, expansion, and closure; (2) The lower coal seam is affected by reverse faults, resulting in asymmetrical overburden collapse patterns and discontinuous fissure development. When mining across faults, periodic pressure is intense, and the stride length is significantly reduced, with severe rock fragmentation near the faults.

View Article and Find Full Text PDF