Urban Areas In China Research Articles

Perceived Constraints on Active Recreational Sport Participation among Residents in Urban China.

Recreational sport participation is an important pathway to improving the quality of life. While facilities for recreational sports are provided in many urban areas in China, how urban residents might be aware of or use these facilities for recreational sport participation is still a vague notion in the literature. This study explored the linkages between perceived leisure constraints and active participation in recreational sports among urban residents. We collected data samples from 2901 urban residents in China to identify their perceived constraints and the effects of the perceived constraints on active recreational sport participation by structural equation models. Five perceived constraints of active recreational sport participation were identified: intrapersonal, interpersonal, environmental condition, facility-service management, and leisure opportunity constraints. More specifically, leisure opportunity, intrapersonal, facility-service management, and interpersonal constraints were the four most important constraints limiting active recreational sport participation of urban residents. Theoretical and practical implications to facilitate the active recreational sport participation of Chinese urban residents were discussed.

Prevalence and associated factors of anxiety among the population in an urban area of China: a cross-sectional study

ObjectiveThis study was conducted to explore the prevalence and associated factors of anxiety disorder among the population in an urban area of China.DesignA cross-sectional study.SettingThe study was conducted in Shanghai,...

A time-dependent density functional theory investigation of the atmospheric absorption spectra of polycyclic aromatic hydrocarbons (PAHs) and their derivatives (Alkyl-PAHs, oxygenated-PAHs, and Nitrated-PAHs) over an urban area in China

Polycyclic aromatic hydrocarbons (PAHs) and their oxygenated (OPAHs) and nitrated (NPAHs) derivatives are main chromophores of the carbonaceous aerosol brown carbon (BrC), which is linked with radiative forcing. Here, we investigated the atmospheric absorption spectra of 64 PAHs, OPAHs, and NPAHs directly over the Chinese megacity of Xi’an, by employing a time-dependent density functional theory (TD-DFT) computational approach and correcting the results for the experimentally determined atmospheric concentration of the studied molecules. The obtained data showed that these molecules contribute more to radiative forcing by absorbing light in the UVA and (sub)visible region of the spectrum. Investigating “daily” absorption spectra revealed major seasonal variation in the intensity of light absorption, but little changes in the shape of the absorption spectra. The observed light absorption can be explained mainly by contributions from PAHs and to a lesser extent by carbonyl-OPAHs, with relatively low contributions of the other OPAHs and NPAHs. Among them, benzo[b+j+k]fluoranthenes, benzo[e]pyrene, benzo[a]pyrene, benzo[ghi]perylene, indeno[1,2,3-cd]pyrene, 6H-benzo[cd]pyren-6-one, 7H-benz[de]anthracen-7-one, and benz[a]anthracene-7,12-dione are highlighted as potentially problematic contributors for radiative forcing over Xi’an.

Deaths Attributable to Indoor PM2.5 in Urban China When Outdoor Air Meets 2021 WHO Air Quality Guidelines.

The World Health Organization reduced the recommended level of annual mean PM2.5 concentrations to 5 μg/m3 in 2021. Previously, the guideline was geared toward ambient air pollution, and now it explicitly applies to indoor air pollution. However, the disease burden attributed to different indoor emission sources has been overlooked, particularly in urban areas. Our objective was to estimate the mortality attributable to indoor PM2.5 in urban areas in China. Our model estimated 711 thousand (584-823) deaths and 2.75 trillion (2.26-3.19) CNY economic losses attributable to PM2.5 in urban China in 2019, in which indoor sources contributed 394 thousand (323-457) deaths and 1.53 trillion (1.25-1.77) CNY losses. There would still be 536 thousand (427-638) PM2.5-attributable deaths and 2.07 trillion (1.65-2.47) CNY losses each year when the outdoor PM2.5 is 5 μg/m3, of which 485 thousand (386-578) deaths and 1.87 trillion (1.49-2.23) CNY are attributable to indoor sources. Despite cleaner outdoor air and no solid fuels being used, considerable health hazards and economic losses are attributable to indoor PM2.5. Measures to reduce PM2.5 exposure in humans from both indoor and outdoor sources are required to achieve a substantial reduction in deaths.

Big data-driven decoupling framework enabling quantitative assessments of electric vehicle performance degradation

Electric vehicle (EV) performance in terms of the available driving range per charge and the energy consumption rate continuously degrades during its service life. Quantitative assessments of EV performance degradation play an important role in EV residual value analysis, battery management, and battery recycling. However, EV performance degradation is highly sensitive to both ambient temperature and battery aging states; coupled factors make its quantification challenging. Here, a novel big data-driven decoupling framework is proposed to investigate the partial relationships between EV performance degradation and each individual variable (e.g., temperature and total driving distances). The core innovation involves the decoupling process that can enable real-world and large-scale degradation assessments. The basic functionality of the decoupling is achieved by an iterative learning framework where different machine learning-based models can communicate with each other. It achieves the advantages of unsupervised training and high performance; the mean absolute error can be controlled less than 0.1 in the model validation of EV ranges. Its effectiveness is verified using different real-world EV datasets. By utilizing the framework, the changes in the range and energy consumption of EVs across 10 urban areas in China are assessed. The results show that the range and energy consumption rate of EVs are more greatly influenced by ambient temperature than by battery aging. Less consideration of variable decoupling may yield misleading results in EV performance analysis. Our proposed framework opens avenues for quantifying EV performance degradation via real-world EV data, which is critical to onboard and cloud-based EV research.

Spatio-Temporal Pattern and Spatial Disequilibrium of Cultivated Land Use Efficiency in China: An Empirical Study Based on 342 Prefecture-Level Cities

As an important resource for human survival and development, the utilization efficiency of cultivated land is directly related to national food security and social harmony and stability. Based on the stochastic frontier production function, this paper estimated the cultivated land use efficiency of 342 prefecture-level administrative regions in China from 2003 to 2019 and used spatial autocorrelation analysis and the Gini coefficient decomposition model to explore the spatial agglomeration and spatial disequilibrium of cultivated land use efficiency in China. The results showed the following: (1) Overall, the efficiency of cultivated land use in China has steadily improved since 2003, but the overall level remains low. The use efficiency of cultivated land decreases in the order of eastern, northeastern, western, and central regions, and the use efficiency of cultivated land in the central region increased the fastest. (2) From the perspective of the spatial dimension, the cultivated land use efficiency in urban areas of China has a multi-core structure of “high in the south and low in the north, high in the east and low in the west” and an obvious spatial differentiation pattern. At the same time, the spatial aggregation characteristics of cultivated land use efficiency have become more prominent with the passage of time. (3) There are obvious regional differences in cultivated land use efficiency in China, showing a downward trend as a whole, and the gap between regions is the main source of spatial non-equilibrium, followed by the super-variable density and the gap within regions. Revealing the temporal and spatial changes in cultivated land use efficiency is helpful to understand the present situation of cultivated land use and to formulating effective land use policies.

Cooking or heating with solid fuels increased the all-cause mortality risk among mid-aged and elderly People in China

BackgroundOur study aimed to explore the associations between solid fuels burning for either heating or cooking and all-cause mortality based on 2859 participants from the China Health and Retirement Longitudinal Study during 2011–2018.MethodsLogistic regression models were performed to estimate the risk for all-cause mortality between different types of fuels in the current longitudinal study. Furthermore, the combined impacts of applying solid fuels for both cooking and heating and the effect among those who switched types of fuels in cooking or heating during follow-up were also analyzed. Interaction and stratification analysis by covariables was applied further to explore the relationship between fuel burning and all-cause mortality.ResultsAfter full-adjustment, usage of solid fuels was associated with higher all-cause mortality (for heating: OR = 1.93, 95% CI = 1.25, 3.00; for cooking: OR = 1.76, 95% CI = 1.10, 2.82). Using solid fuels for both cooking and heating (OR = 2.36; 95% CI, 1.38, 4.03) was associated with a higher risk of all-cause mortality, while using solid fuels with a single purpose was not (OR = 1.52; 95% CI, 0.90, 2.55). Protective tendencies were detected in switching solid to clean fuel for cooking (OR = 0.62; 95% CI, 0.32, 1.17) and heating (OR = 0.62; 95% CI, 0.35, 1.10).ConclusionEither cooking or heating with solid fuels increases the risk of all-cause mortality among Chinese mid-aged and aging people in the urban area of China.

Evaluation of ecological-economic-social synergy in urban area of China

To understand the synergetic features of economy, society, and ecology in cities, we established an urban ecological-economic-social synergetic index evaluation system from three aspects (per capita green area, per capita GDP, and life expectancy per capita) and created an urban ecological-economic-social synergetic index eva-luation method. We analyzed the synergetic features by comparing the ecological-economic-social synergetic index and comprehensive function scores of 35 typical cities in China. The differences in ecological-economic-social synergy and function score for different city sizes and administrative divisions were investigated, while the synergy level of cities were classified. The results showed that the average ecological-economic-social synergetic index of 35 cities in China was 28.79, with the highest of 3.83 and the lowest of 63.04 in 2016. The synergetic index, urban econo-mic function, and social function were significantly positively correlated with urban population sizes and economic sizes. There were significant differences in synergetic index among cities with different population sizes, economic sizes, and administrative functions. The urbanization in China was still in the status of functional imbalance. Urban development was conducive to improve cities' function, but did not effectively improve the synergy of ecology, economy, and society. The ecological function of cities significantly affected urban synergy, which indicated that the poor urban ecological function was the main restrictive factor for urban synergy in China.

Internet use and consumption diversity: Evidence from rural China

AbstractThe Internet is integral to modern living. While the Internet is ubiquitous in China's urban areas, its uptake is still lagging in the country's rural regions—the development potential of the Internet remains untapped, and despite China's steep economic growth during the 21st century, the living standards in its rural regions remain low. The Internet can accelerate rural development in China. This study is focused on analyzing whether and to what extent Internet use affects consumption diversity, an indicator of the quality of life, in rural China. To this end, we employ the instrumental‐variable‐based two‐stage endogenous treatment regression model to analyze the 2018 China Family Panel Studies survey data. The modeling approach allows us to account for the endogeneity of Internet use. The results show that consumption diversity is positively associated with Internet use. Furthermore, it rises with household income, household size, and wealth. Whether the Internet is accessed via smartphones or computers has no bearing on household consumption diversity. We also find that education, household income, and wealth increase one's predicted probability of using the Internet. The results also point to regional differences in consumption diversity and the likelihood of using the Internet.

Regional heterogeneity and driving factors of road runoff pollution from urban areas in China.

Due to the multiple influences of natural and anthropogenic factors, stormwater runoff from urban roads generally presents heterogeneous pollution among cities. The identification of regional heterogeneity and related driving factors of road runoff pollution is of significance for the optimal management of road runoff pollution according to the local circumstances. In this study, the regional heterogeneity of urban road runoff pollution from fourteen representative cities in China is analyzed for four typical pollutants including total suspended solids (TSS), chemical oxygen demand (COD), total nitrogen (TN) and total phosphorus (TP). The results show wide variations in TSS, COD, TN and TP pollution among cities, with the average event mean concentrations ranging from 77.0 to 1347.9, 31.4 to 488.1, 0.81 to 8.46, 0.139 to 1.930mg/L, respectively. One-way ANOVA analyses demonstrate significant differences in road runoff pollution among cities. The TSS pollution is significantly heavier for northern and northwestern inland cities than that for eastern and southern cities. Pearson correlation analysis and Stepwise linear regression analysis are performed to identify and rank the influence of climate, population, economy, industry structure, traffic and environmental quality. Direct relationships of road runoff pollution are detected with PM2.5, PM10, secondary industry, tertiary industry, annual rainfall, and urban green coverage, among which PM10 and urban green coverage are the most important and common factors exerting positive and negative influences on road runoff pollution, respectively. Based on the findings of this work, improvement of atmospheric particulate pollution and increase in urban greenness are recommended measures to manage the road runoff pollution. Furthermore, the traffic-related emissions accompanying the upgrading of industry structure should be effectively controlled to attenuate the TSS and COD pollution in road runoff.

The Effects of Vocational-Skills Training on Migrant Workers’ Willingness to Settle in Urban Areas in China

Using the micro data of the China Labor Force Dynamics Survey (CLDS), this study constructed an employment quality index of migrant workers by using the factor analysis method, it used the binary logistic model and the intermediary effect model to explore the urban-settlement intention of 1451 migrant workers in 29 cities in China, and it empirically analyzed the impact and internal mechanism of vocational-skills training on migrant workers’ willingness to settle in urban areas. The results show that (1) there is a significant positive relationship between the vocational-skills training and the migrant workers’ settlement intention. A further analysis showed that the empirical results remain robust after correcting endogeneity bias by using the instrumental variable model; and (2) participating in vocational-skills training can improve the employment quality of migrant workers, which would result in the increase of migrant workers’ willingness to settle in urban areas, and employment quality plays the significant intermediary role in this path. (3) The heterogeneity test results show that participating in vocational-skills training has a larger effect on the willingness to settle in urban areas of older-generation, female, and married migrant workers. Therefore, this paper makes the following suggestions: the government should do a good job of top-level design of vocational-skills training for migrant workers, increase investment in human capital of migrant workers, and improve the employment quality of migrant workers.

Investigation of dicarboxylic acids, oxocarboxylic acids, α-dicarbonyls, and volatile organic compounds at the Yellow River Delta, northern China during summer: Contributions of anthropogenic hydrocarbons to secondary organic aerosols

Total suspended particulate (TSP) and air samples were collected at Yellow River Delta (YelRD) in summer 2016 to analyze the concentrations of diacids and related secondary organic aerosols (SOA) and volatile organic compounds (VOCs). 37 organic components (dicarboxylic acids, oxocarboxylic acids, α-dicarbonyls, and fatty acids) and 40 VOCs were analyzed. Most of the dicarboxylic acids showed a similar diurnal variation characteristic with a slightly higher concentration during the daytime than nighttime. Oxalic acid (C2) was the species with the highest contribution to the total dicarboxylic acids, followed by succinic acid (C4), phthalic acid (Ph), and malonic acid (C3). The concentration of total VOCs in YelRD was lower than that in some urban areas in China, alkanes were the dominant component. The oxidation of anthropogenic aromatics to dicarboxylic acids and related SOA is also likely in YelRD. Source apportionment by positive matrix factorization (PMF) revealed that biogenic emissions, diesel exhaust, and oil volatilization, vehicular emissions, coal combustion, and secondary oxidation were the most important sources of organic species and VOCs in YelRD. This study provides potential insights into the characteristics of dicarboxylic acids and related SOA formed from VOCs oxidation in YelRD.

High proportion of tuberculosis transmission among social contacts in rural China: a 12-year prospective population-based genomic epidemiological study

ABSTRACT Tuberculosis (TB) is more prevalent in rural than urban areas in China, and delineating TB transmission patterns in rural populations could improve TB control. We conducted a prospective population-based study of culture-positive pulmonary TB patients diagnosed between July 1, 2009 and December 31, 2020 in two rural counties in China. Genomic clusters were defined with a threshold distance of 12-single-nucleotide-polymorphisms, based on whole-genome sequencing. Risk factors for clustering were identified by logistic regression. Transmission links were sought through epidemiological investigation of genomic-clustered patients. Of 1517 and 751 culture-positive pulmonary TB patients in Wusheng and Wuchang counties, respectively, 1289 and 699 strains were sequenced. Overall, 624 (31.4%, 624/1988) patients were grouped into 225 genomic clusters. Epidemiological links were confirmed in 41.8% (196/469) of clustered isolates, including family (32.7%, 64/196) and social contacts (67.3%, 132/196). Social contacts were generally with relatives, within the community or in shared aggregated settings outside the community, but the proportion of clustered contacts in each category differed between the two sites. The time interval between diagnosis of student cases and contacts was significantly shorter than family and social contacts, probably due to enhanced student contact screening. Transmission of multidrug-resistant (MDR) strains was likely responsible for 81.4% (83/102) of MDR-TB cases, with minimal acquisition of additional resistance mutations. A large proportion of TB transmission in rural China occurred among social contacts, suggesting that active screening and aggressive contact tracing could benefit TB control, but contact screening should be tailored to local patterns of social interactions.

Profiles of total and sn-2 fatty acid of human mature milk and their correlated factors: A cross-sectional study in China.

Fatty acid (FA) in breast milk is beneficial to the growth and neurodevelopment of infants. However, the structure profiles of breast milk FAs and the influencing factors which are crucial for normal function have not been fully elucidated. This study aimed to characterize the profiles of total and sn-2 FAs in human mature milk based on two representative urban areas in China and explore potential sociodemographic determinants. Mothers (n = 70) at 40–100 d postpartum from Beijing and Danyang were recruited according to unified inclusion and exclusion criteria. Total and sn-2 FA compositions were examined by gas chromatography and quantified. Using the Spearman correlation and multiple regression model, we found that the location and maternal education level were the most conspicuous correlated factor. The milk of mothers from Beijing had higher levels of the n-6 series of long-chain polyunsaturated fatty acids (LCPUFA) (C20:2, C20:3n-6, C20:4n-6, n-6PUFA/n-3PUFA, LA/ALA, and ARA/DHA) than that of Danyang, while the opposite was observed in the n-3 series of LCPUFA (C18:3n-3 and Total n-3PUFA). Compared to the milk of mothers with a high school degree or below, those with a bachelor's degree or above had lower SFAs (C10:0, C12:0, C14:0, and Total SFA), n-3 series of LCPUFA (C18:3n-3 and Total n-3PUFA), C18:1n-9t, and higher n-6 series of LCPUFA (C18:2n-6c, C20:2, C20:4n-6, Total n-6PUFA, and n-6PUFA/n-3PUFA). Maternal age, infant gender, pre-conception body mass index (BMI), parity, delivery mode, and gestational weight gain were also associated with total FAs. However, fewer associations were found between the above factors and sn-2 FAs. This study will promote an understanding of human breast milk's lipid profile and help develop a formula more suitable for infants.

Sustainable Renewal of Historical Urban Areas: A Demand–Potential–Constraint Model for Identifying the Renewal Type of Residential Buildings

The assessment of buildings facilitates the exploration of the viability of progressive and organic renewal, prevents the aimless and unorganized demolition of residential buildings in previous urban renewal projects, and facilitates the balancing of the preservation and sustainable development of historical urban areas. Studies have rarely examined the effect of regional factors on building renewal or differentiated the effects of historic preservation and development conditions. The fundamental function of historical urban areas in China is to provide residence. Therefore, this study developed a framework to identify the renewal type of residential buildings. The developed framework was used to construct a demand–potential–constraint model with assessment indicators related to three dimensions, namely renewal demand, development potential, and preservation constraint. Moreover, discriminant matrices were employed to divide the renewal of residential buildings into four modes and subdivide it into six types. The historical urban area of Suzhou was selected as the study site. According to the results of renewal type identification, renewal schedules and models with high referential value can be developed by urban renewal planners, which facilitates the optimization of resource allocation. The developed framework provides novel theoretical and practical insights regarding building renewal assessment in historical urban areas.

Comparing the Receipt of Social Assistance in Urban and Rural China and the Role of Ethnicity

This article compares receipt of dibao social assistance in rural and urban areas of China using household data from seven province-level units. The probability of dibao receipt is positively related to the number of persons in the household who are older, adults who do not work and to the possibility that the head of household is in poor health. Means testing based on household income is more stringent in urban areas while low household wealth is a more important factor of dibao receipt in rural areas. In rural China, membership of the Communist Party of China (CPC) increases the probability of dibao receipt. A larger proportion of ethnic minority households than majority households receive dibao.

Spatiotemporal variation of urban thermal environment and its relationship with urban expansion types from 2000 to 2020: a case of Huai’an central urban area, Huai’an, China

It is critically important to understand the variation of urban thermal environment since urban heat island (UHI) effect is one of the most worrisome urban environment and impedes urban sustainable development. Taking Huai’an central urban area in China as a case, Landsat images from 2000 to 2020 were used, we first estimated land surface temperature (LST) and land covers based on google earth engineer (GEE) platform. Then explored annual variation of SUHI and urban expansion types using statistics method and urban landscape Analysis tools. Finally, discussed the heat effect of urban expansion types and directions. The results showed that (1) SUHI patches gradually concentrated in Phase I, while in Phase II, concentrated SUHIs spread continuously from urban centre to rural area, changing from two centres to a polycentric pattern. (2) Urban expansion was characterized as a diffusion and coalescence process, extension type is the most dominant urban growth mode, second is leapfrog type, and the smallest is infilling type. (3) Annual trend of NLST shows an increasing trend for all three urban expansion types during the last two decades, which of extension mode was biggest, while, that of infilling growth was smallest. This research can attribute a better understanding for the impact of urban expansion on surface heat island effects.

Long-term trend of ozone pollution in China during 2014–2020: distinct seasonal and spatial characteristics and ozone sensitivity

Abstract. In the past decade, ozone (O3) pollution has become a severe environmental problem in China's major cities. Here, based on available observational records, we investigated the long-term trend of O3 pollution in China during 2014–2020. The O3 concentrations were slightly higher in urban areas than in non-urban areas. During these 7 years, the highest O3 concentrations primarily occurred during summer in northern China, and during autumn or spring in southern China. Although O3 precursors, including nitrogen oxides (NOx) and carbon monoxide (CO), continuously decreased, O3 concentrations generally increased throughout the 7 years with a slower increasing rate after 2017. The long-term trend of O3 concentrations differed across seasons, especially from 2019 to 2020, when O3 concentrations decreased in summer and increased in winter. To analyse the causes of this observed trend, a photochemical box model was used to investigate the change in the O3 sensitivity regime in two representative cities – Beijing and Shanghai. Our model simulations suggest that the summertime O3 sensitivity regime in urban areas of China has changed from a VOC-limited regime to a transition regime during 2014–2020. By 2020, the urban photochemistry was in a transition regime in summer but in a VOC-limited regime in winter. This study helps to understand the distinct trends of O3 in China and provides insights into efficient future O3 control strategies in different regions and seasons.

Fast Nocturnal Heterogeneous Chemistry in a Coastal Background Atmosphere and Its Implications for Daytime Photochemistry

AbstractNitryl chloride (ClNO2) is an important chlorine reservoir in the atmosphere that affects the oxidation capacity by producing first‐ and second‐generation radicals, but it has been rarely observed in the world. Here, online measurements of both N2O5 and ClNO2 at a coastal background site in the Pearl River Delta (PRD) in southern China, a region with high atmospheric oxidation capacity in the daytime, are presented. We observed continuous accumulation of elevated ClNO2 at night, while N2O5 was generally low. The maximum concentrations of N2O5 and ClNO2 were 1.4 and 1.7 ppbv, respectively, associated with a transported urban plume with high levels of O3 and NO2. The average product of N2O5 uptake coefficient and ClNO2 yield (γ × f = 0.02, with average γ of 0.027 and f of 0.71) was roughly twice those in urban areas in China, indicating active N2O5 heterogenous chemistry and effective ClNO2 formation in the background atmosphere. The production rate of Cl radicals (pCl) from the photolysis of ClNO2 was estimated to be an order of magnitude higher than those at coastal and rural sites in the literature. Such levels of Cl radical production could have considerable contribution to the atmospheric oxidation capacity after sunrise. In addition, NO2 produced by ClNO2 photolysis in the morning accounted for approximately 10% of the NO2 increase within several hours after sunrise. Thus, high nocturnal ClNO2 production and its following daytime photochemistry should be considered seriously in regional air quality modeling in the PRD and regions with similar conditions.

Measurement report: The importance of biomass burning in light extinction and direct radiative effect of urban aerosol during the COVID-19 lockdown in Xi'an, China

Abstract. Due to the complexity of emission sources, a better understanding of aerosol optical properties is required to mitigate climate change in China. Here, an intensive real-time measurement campaign was conducted in an urban area of China before and during the COVID-19 lockdown in order to explore the impacts of anthropogenic activities on aerosol light extinction and the direct radiative effect (DRE). The mean light extinction coefficient (bext) decreased from 774.7 ± 298.1 Mm−1 during the normal period to 544.3 ± 179.4 Mm−1 during the lockdown period. A generalised additive model analysis indicated that the large decline in bext (29.7 %) was due to sharp reductions in anthropogenic emissions. Chemical calculation of bext based on a ridge regression analysis showed that organic aerosol (OA) was the largest contributor to bext in both periods (45.1 %–61.4 %), and the contributions of two oxygenated OAs to bext increased by 3.0 %–14.6 % during the lockdown. A hybrid environmental receptor model combined with chemical and optical variables identified six sources of bext. It was found that bext from traffic-related emissions, coal combustion, fugitive dust, the nitrate and secondary OA (SOA) source, and the sulfate and SOA source decreased by 21.4 %–97.9 % in the lockdown, whereas bext from biomass burning increased by 27.1 %, mainly driven by the undiminished need for residential cooking and heating. An atmospheric radiative transfer model was further used to illustrate that biomass burning, rather than traffic-related emissions, became the largest positive effect (10.0 ± 10.9 W m−2) on aerosol DRE in the atmosphere during the lockdown. Our study provides insights into aerosol bext and DRE from anthropogenic sources, and the results imply the importance of controlling biomass burning for tackling climate change in China in the future.