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Guo CY, Zhang WX, Zhou YG, Zhang SS, Xi L, Zheng RR, Du J, Zhang J, Cui Y, Lu QB. Dynamics of respiratory infectious diseases under rapid urbanization and COVID-19 pandemic in the subcenter of Beijing during 2014-2022. Heliyon 2024; 10:e29987. [PMID: 38737278 PMCID: PMC11088252 DOI: 10.1016/j.heliyon.2024.e29987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 04/17/2024] [Accepted: 04/18/2024] [Indexed: 05/14/2024] Open
Abstract
Objective The study analyzed the impact of urbanization on epidemiological characteristics of respiratory infectious disease in Tongzhou District, Beijing during 2014-2022 to provide reference for prevention and control priorities of respiratory infectious diseases during the innovative urbanization process in China. Methods The incidence data of notifiable respiratory infectious diseases (NRIDs) in Tongzhou Beijing during 2014-2022 were summarized. The trend of incidence rate was analyzed by Joinpoint regression model, and entropy method was performed to construct the comprehensive index of urbanization (CIU) and generalized linear model was used to analyze the influence of CIU on the incidence rate of respiratory infectious diseases. Results Totally 72616 NRIDs cases were reported in Tongzhou District during 2014-2022, and the incidence rate of NRIDs was higher during 2017-2019 (153/100 000) than during 2014-2016 (930/100 000) and during 2020-2022 (371/100 000), respectively (both P < 0.001). The CIU constantly increased with slight fluctuation in 2016 and 2018, respectively. The incidence rate of NRIDs showed an increase along with the CIU during 2014-2019 (r = 0.95, P = 0.004), while the incidence rate's tendency was interrupted by COVID-19 during 2020 with slight decrease in 2020-2021 and rebounded in 2022. For the patients aged <15 years, the incidence rate of NRIDs revealed a very sharp rise at the urbanization period without COVID-19 pandemic compared with that under pre-urbanization period (RR = 7.93, 95 % CI 7.63-8.24), and dropped off to the similar level as of pre-urbanization period when COVID-19 pandemic spread. Conclusions Urbanization process may increase the incidence of NRIDs but constrained by COVID-19. Certain measures should be taken to prevent and control the effects by urbanization process, such as good natural environment with less population density, ecological environment with good air quality, promoted hand hygiene, mask wearing, keeping interpersonal distance, vaccination, media publicity for NRIDs' prevention and control.
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Affiliation(s)
- Chang-Yu Guo
- Department of Laboratorial Science and Technology, Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, China
| | - Wan-Xue Zhang
- Department of Laboratorial Science and Technology, Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, China
| | - Yi-Guo Zhou
- Department of Laboratorial Science and Technology, Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Shan-Shan Zhang
- Department of Laboratorial Science and Technology, Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Lu Xi
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Tongzhou Center for Diseases Prevention and Control, Beijing, China
| | - Ran-Ran Zheng
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Tongzhou Center for Diseases Prevention and Control, Beijing, China
| | - Juan Du
- Department of Laboratorial Science and Technology, Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, China
| | - Jianming Zhang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Tongzhou Center for Diseases Prevention and Control, Beijing, China
| | - Yan Cui
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Tongzhou Center for Diseases Prevention and Control, Beijing, China
| | - Qing-Bin Lu
- Department of Laboratorial Science and Technology, Vaccine Research Center, School of Public Health, Peking University, Beijing, China
- Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, China
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
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Magazzino C, Madaleno M, Waqas M, Leogrande A. Exploring the determinants of methane emissions from a worldwide perspective using panel data and machine learning analyses. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 348:123807. [PMID: 38522606 DOI: 10.1016/j.envpol.2024.123807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/09/2024] [Accepted: 03/15/2024] [Indexed: 03/26/2024]
Abstract
This article contributes to the scant literature exploring the determinants of methane emissions. A lot is explored considering CO2 emissions, but fewer studies concentrate on the other most long-lived greenhouse gas (GHG), methane which contributes largely to climate change. For the empirical analysis, a large dataset is used considering 192 countries with data ranging from 1960 up to 2022 and considering a wide set of determinants (total central government debt, domestic credit to the private sector, exports of goods and services, GDP per capita, total unemployment, renewable energy consumption, urban population, Gini Index, and Voice and Accountability). Panel Quantile Regression (PQR) estimates show a non-negligible statistical effect of all the selected variables (except for the Gini Index) over the distribution's quantiles. Moreover, the Simple Regression Tree (SRT) model allows us to observe that the losing countries, located in the poorest world regions, abundant in natural resources, are those expected to curb methane emissions. For that, public interventions like digitalization, green education, green financing, ensuring the increase in Voice and Accountability, and green jobs, would lead losers to be positioned in the winner's rankings and would ensure an effective fight against climate change.
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Affiliation(s)
| | - Mara Madaleno
- Research Unit on Governance, Competitiveness and Public Policies, Department of Economics, Management, Industrial Engineering and Tourism, University of Aveiro, Portugal
| | - Muhammad Waqas
- Department of Environmental Science, Kohat University of Science and Technology, Pakistan.
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Fang C, He Y, Yang Y, Fu B, Pan S, Jiao F, Wang J, Yang H. Laboratory tidal microcosm deciphers responses of sediment archaeal and bacterial communities to microplastic exposure. JOURNAL OF HAZARDOUS MATERIALS 2023; 458:131813. [PMID: 37339576 DOI: 10.1016/j.jhazmat.2023.131813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/24/2023] [Accepted: 06/07/2023] [Indexed: 06/22/2023]
Abstract
Microplastics (MPs) are 1-5 mm plastic particles that are serious global contaminants distributed throughout marine ecosystems. However, their impact on intertidal sediment microbial communities is poorly understood. In this study, we conducted a 30-day laboratory tidal microcosm experiment to investigate the effects of MPs on microbial communities. Specifically, we used the biodegradable polymers polylactic acid (PLA) and polybutylene succinate (PBS), as well as the conventional polymers polyethylene terephthalate (PET), polycarbonate (PC), and polyethylene (PE). Treatments with different concentrations (1-5%, w/w) of PLA- and PE-MPs were also included. We analyzed taxonomic variations in archaeal and bacterial communities using 16S rRNA high-throughput sequencing. PLA-MPs at concentrations of 1% (w/w) rapidly altered microbiome composition. Total organic carbon and nitrite nitrogen were the key physicochemical factors and urease was the major enzyme shaping MP-exposed sediment microbial communities. Stochastic processes predominated in microbial assembly and the addition of biodegradable MPs enhanced the contribution of ecological selections. The major keystone taxa of archaea and bacteria were Nitrososphaeria and Alphaproteobacteria, respectively. MPs exposure had less effect on archaeal functions while nitrogen cycling decreased in PLA-MPs treatments. These findings expanded the current understanding of the mechanism and pattern that MPs affect sediment microbial communities.
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Affiliation(s)
- Chang Fang
- College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China; Zhongshan Innovation Center of South China Agricultural University, Zhongshan 528400, China
| | - Yinglin He
- College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China; Zhongshan Innovation Center of South China Agricultural University, Zhongshan 528400, China
| | - Yuting Yang
- College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China; Zhongshan Innovation Center of South China Agricultural University, Zhongshan 528400, China
| | - Bing Fu
- College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China; Zhongshan Innovation Center of South China Agricultural University, Zhongshan 528400, China
| | - Sentao Pan
- College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China; Zhongshan Innovation Center of South China Agricultural University, Zhongshan 528400, China
| | - Fang Jiao
- College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China; Zhongshan Innovation Center of South China Agricultural University, Zhongshan 528400, China
| | - Jun Wang
- College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China
| | - Huirong Yang
- College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China; Zhongshan Innovation Center of South China Agricultural University, Zhongshan 528400, China.
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Chen S, Bai Y. Green finance, the low-carbon energy transition, and environmental pollution: evidence from China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:83657-83677. [PMID: 37344717 DOI: 10.1007/s11356-023-28196-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/06/2023] [Indexed: 06/23/2023]
Abstract
With 2008-2020 China's provincial panel data as the research object, we use the entropy weight method to compute green finance and pollution, and we empirically study the scope of the spillover effects and threshold impacts of green finance on environmental pollution using the spatial Durbin model and threshold regression model. The findings are as follows: first, under different spatial weight matrices, green finance has a spatial spillover effect on pollution. And the effect boundary is approximately 500 km. Second, with the low-carbon energy transition, technological progress, and green finance as threshold variables, there are a single threshold, single threshold, and double threshold, respectively, that have significant threshold effects. Third, the spillover and threshold effects of green finance on pollution differ by region. The indirect effect is negative in the eastern region and positive in the central and western regions. There is a single threshold effect of low-carbon energy transition and green finance in the western region, a single threshold effect of green finance in the central region, and a single threshold effect of technological progress in the eastern region. On this basis, we put forward. specific policy recommendations.
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Affiliation(s)
- Shanshan Chen
- School of Economics and Management, China University of Geosciences (Wuhan), Wuhan, 430078, China.
| | - Yongliang Bai
- School of Economics and Management, China University of Geosciences (Wuhan), Wuhan, 430078, China
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Zhang ZS, Xi L, Yang LL, Lian XY, Du J, Cui Y, Li HJ, Zhang WX, Wang C, Liu B, Yang YN, Cui F, Lu QB. Impact of air pollutants on influenza-like illness outpatient visits under urbanization process in the sub-center of Beijing, China. Int J Hyg Environ Health 2023; 247:114076. [PMID: 36427387 DOI: 10.1016/j.ijheh.2022.114076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/01/2022] [Accepted: 11/15/2022] [Indexed: 11/23/2022]
Abstract
Air pollutants can cause serious harm to human health and a variety of respiratory diseases. This study aimed to explore the associations between air pollutants and outpatient visits for influenza-like illness (ILI) under urbanization process in the sub-center of Beijing. The data of ILI in sub-center of Beijing from April 1, 2014 to December 31, 2020 were obtained from Beijing Influenza Surveillance Network. A generalized additive Poisson model was applied to examine the associations between the concentrations of air pollutants and daily outpatient visits for ILI when controlling meteorological factors and holidays. A total of 322,559 patients with ILI were included. The results showed that in the early urbanization period, the effects of PM2.5, PM10, SO2, O3, and CO on lag0 day, and PM2.5, PM10, O3, and CO on lag1 day were not significant. In the later urbanization period, AQI and the concentrations of PM2.5, PM10, SO2, NO2 and CO on lag1 day were all significantly associated with an increased risk of outpatient visits for ILI, which increased by 0.34% (95%CI 0.23%, 0.45%), 0.42% (95%CI 0.29%, 0.56%), 0.44% (95%CI 0.33%, 0.55%), 0.36% (95%CI 0.24%, 0.49%), 0.91% (95%CI 0.62%, 1.21%) and 0.38% (95%CI 0.26%, 0.49%). The concentration of O3 on lag1 day was significantly associated with a decreased risk of outpatient visits for ILI, which decreased by 0.21% (95%CI 0.04%, 0.39%). We found that the urbanization process had significantly aggravated the impact of air pollutants on ILI outpatient visits. These findings expand the current knowledge of ILI outpatient visits correlated with air pollutants under urbanization process.
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Affiliation(s)
- Zhong-Song Zhang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, PR China
| | - Lu Xi
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Tongzhou Center for Diseases Prevention and Control, Beijing, 101100, PR China
| | - Li-Li Yang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Tongzhou Center for Diseases Prevention and Control, Beijing, 101100, PR China
| | - Xin-Yao Lian
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, PR China
| | - Juan Du
- Global Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, 100191, PR China
| | - Yan Cui
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Tongzhou Center for Diseases Prevention and Control, Beijing, 101100, PR China
| | - Hong-Jun Li
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Tongzhou Center for Diseases Prevention and Control, Beijing, 101100, PR China
| | - Wan-Xue Zhang
- Global Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, 100191, PR China
| | - Chao Wang
- Global Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, 100191, PR China
| | - Bei Liu
- Global Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, 100191, PR China
| | - Yan-Na Yang
- Institute for Infectious Diseases and Endemic Diseases Prevention and Control, Beijing Tongzhou Center for Diseases Prevention and Control, Beijing, 101100, PR China
| | - Fuqiang Cui
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, PR China; Global Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, 100191, PR China.
| | - Qing-Bin Lu
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, PR China; Global Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, 100191, PR China.
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Serafini MM, Maddalon A, Iulini M, Galbiati V. Air Pollution: Possible Interaction between the Immune and Nervous System? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192316037. [PMID: 36498110 PMCID: PMC9738575 DOI: 10.3390/ijerph192316037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/14/2022] [Accepted: 11/26/2022] [Indexed: 06/01/2023]
Abstract
Exposure to environmental pollutants is a serious and common public health concern associated with growing morbidity and mortality worldwide, as well as economic burden. In recent years, the toxic effects associated with air pollution have been intensively studied, with a particular focus on the lung and cardiovascular system, mainly associated with particulate matter exposure. However, epidemiological and mechanistic studies suggest that air pollution can also influence skin integrity and may have a significant adverse impact on the immune and nervous system. Air pollution exposure already starts in utero before birth, potentially causing delayed chronic diseases arising later in life. There are, indeed, time windows during the life of individuals who are more susceptible to air pollution exposure, which may result in more severe outcomes. In this review paper, we provide an overview of findings that have established the effects of air pollutants on the immune and nervous system, and speculate on the possible interaction between them, based on mechanistic data.
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Hanif S, Lateef M, Hussain K, Hyder S, Usman B, Zaman K, Asif M. Controlling air pollution by lowering methane emissions, conserving natural resources, and slowing urbanization in a panel of selected Asian economies. PLoS One 2022; 17:e0271387. [PMID: 35984821 PMCID: PMC9390938 DOI: 10.1371/journal.pone.0271387] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/29/2022] [Indexed: 11/23/2022] Open
Abstract
The destruction of the earth’s ecosystems is the most pressing issue globally. Carbon emissions account for nearly half of global air pollution. Methane is the primary source of ground-level ozone and a significant source of greenhouse gases (GHGs), with greater warming potential than carbon dioxide emissions. The study examines the impact of the different methane emissions (released by agriculture, energy, and industrial sectors), urbanization, natural resource depletion, and livestock production on carbon emissions in the panel of selected Asian countries for the period of 1971 to 2020. The results show that energy associated methane emissions, livestock production, natural resource depletion, and urbanization are the main detrimental factors of environmental degradation across countries. The causality estimates show the unidirectional relationship running from livestock production and agriculture methane emissions to carbon emissions, from total methane emissions and carbon emissions to urbanization and from urbanization to energy methane emissions and livestock production. The forecasting estimates suggest that total methane emissions, natural resource depletion, and urbanization will likely increase carbon emissions over the next ten years. The study concludes that the energy sector should adopt renewable energy sources in its production process to minimize carbon emissions. Urbanization and excessive resource exploitation must be curtailed to attain carbon neutrality.
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Affiliation(s)
- Sadoon Hanif
- Department of Economics, The University of Haripur, Haripur, Khyber Pakhtunkhwa, Pakistan
| | - Majid Lateef
- College of International Education, Baise University, Baise, Guangxi, China
| | - Kamil Hussain
- Department of Management Sciences, University of Wah, Wah Cantt, Pakistan
| | - Shabir Hyder
- Department of Management Sciences, COMSATS University Islamabad, Islamabad, Pakistan
| | - Bushra Usman
- School of Management, Forman Christian College (A Chartered University), Lahore, Pakistan
| | - Khalid Zaman
- Department of Economics, The University of Haripur, Haripur, Khyber Pakhtunkhwa, Pakistan
- * E-mail:
| | - Muhammad Asif
- Department of Business Administration, Air University, Multan, Pakistan
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Yang Z, Wang J. Quantifying the impacts of industrial convergence on air pollution: a quasi-experimental analysis of evidence from China's "Triple Play" reform. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:40964-40983. [PMID: 35083680 DOI: 10.1007/s11356-021-18330-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 12/21/2021] [Indexed: 06/14/2023]
Abstract
Industrial structure change is an important cause of air pollution in China. Regarding the "Triple Play" reform (TPR) led by the Chinese government as a quasi-natural experiment of industrial convergence, this study constructs an analysis framework for the impact of industrial convergence on air pollution. Based on panel data at the Chinese city level from 2004 to 2016, this paper empirically examines the impact of industrial convergence on air pollution by using a difference-in-difference model, the propensity score matching method, and a mediation model. The results show that (1) the TPR significantly alleviates air pollution of cities; (2) the TPR reduces air pollution by improving green technological innovation and industrial structural upgrading; (3) the TPR significantly reduces air pollutants in the southern, coastal, non-resource-based cities and cities with higher technological absorption capacity, but its impact in the northern, inland, resource-based cities and cities with lower technological absorption capacity is not remarkable. This research provides feasible suggestions for the government to promote industrial convergence through deregulation policies and then reduce air pollution.
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Affiliation(s)
- Zhihao Yang
- School of International Trade and Economics, Business and Economics, University of International, Beijing, 100029, China
| | - Jianda Wang
- School of International Trade and Economics, Business and Economics, University of International, Beijing, 100029, China.
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Study on Coupled Relationship between Urban Air Quality and Land Use in Lanzhou, China. SUSTAINABILITY 2021. [DOI: 10.3390/su13147724] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The intensification of global urbanization has exacerbated the negative impact of atmospheric environmental factors in urban areas, thus threatening the sustainability of future urban development. In order to ensure the sustainability of urban atmospheric environments, exploring the changing laws of urban air quality, identifying highly polluted areas in cities, and studying the relationship between air quality and land use have become issues of great concern. Based on AQI data from 340 air quality monitoring stations and urban land use data, this paper uses inverse distance weight (IDW), Getis-Ord Gi*, and a negative binomial regression model to discuss the spatiotemporal variation of air quality in the main urban area of Lanzhou and its relationship with urban land use. The results show that urban air quality has characteristics of temporal and spatial differentiation and spatially has characteristics of agglomeration of cold and hot spots. There is a close relationship between urban land use and air quality. Industrial activities, traffic pollution, and urban construction activities are the most important factors affecting urban air quality. Green spaces can reduce urban pollution. The impact of land use on air quality has a seasonal effect.
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