黄石市大气二氧化氮健康效应与人群暴露风险

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (2061 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract In order to reveal the characteristics of health effects and population exposure risk of nitrogen dioxide (NO₂) in Huangshi City, NO₂ concentration, non-accidental deaths, daily deaths from respiratory and circulatory diseases, daily hospitalizations for medical diseases, and meteorological elements in Huangshi city from 2015 to 2020 were collected. Based on these data, the spatial and temporal variation of NO₂ was explored, the effect of NO₂ on the number of fatal cases and internal medicine hospitalizations was quantitatively evaluated by using a semi-parametric generalized additive model (GAM), and the exposure risk (R^*) of residents was evaluated. The intra-annual variation of NO₂ concentration in Huangshi was "U" shaped, with more serious pollution in spring and winter, and slightly higher NO₂ concentration in densely populated and industrial areas. At the optimal lag time, with each 10µg/m³ increase in NO₂ concentration, the number of deaths in non-accidental, respiratory, and circulatory cases reached the maximum at lag01, lag3, lag1, with percentage increase (ER) values of 1.93% (95%CI: -2.10, 6.14), 2.13%, (95%CI: -6.56, 11.62), 4.82% (95%CI: -0.22, 10.02), respectively. The number of daily hospitalizations for internal medical diseases reached the maximum at lag05 with a percentage increase (IP) value of 5.34% (95% CI: 3.58, 7.14). Focus on the gender attributes of hospitalized cases, the male group was more sensitive to NO₂ exposure; Focus on age attributes, the 18~60 years group was more sensitive to NO₂ exposure; Focus on medical disease attributes, patients with renal failure were more sensitive to NO₂ exposure. Assess the population exposure risk of NO₂, the highest R^* was found for adolescents in the age group of 9~12 years. The adult population had the highest R^* for males in the 18~45 age group and the highest R^* for females in the 80+ age group. The seasonal ranking of the mean R^* for all age groups was spring > autumn > winter > summer.

Key words： Huangshi City NO₂ concentration GAM health effects exposure risk

Received: 06 May 2022

PACS:

X503.1

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	WANG Ke-yi
	KANG Ping
	OU Yi-han
	ZHANG Xiao-ling
	WANG Ke-ke
	WANG An-yi
	FENG Hao-peng
	WANG Jiu-sheng

Cite this article:

WANG Ke-yi,KANG Ping,OU Yi-han等. Health effects and population exposure risk of nitrogen dioxide in Huangshi City[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(1): 383-393.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I1/383

[1]	何月,绳梦雅,雷莉萍,等.长三角地区大气NO2和CO2浓度的时空变化及驱动因子分析[J]. 中国环境科学, 2022,42(8):3544-3553. He Y, Sheng M Y, Lei L P, et al. Driving factors and spatio-temporal distribution NO2 and CO2 in the Yangtze River Delta[J]. China Environmental Science, 2022,42(8):3544-3553.
[2]	张兴赢,张鹏,张艳,等.近10a中国对流层NO2的变化趋势,时空分布特征及其来源解析[J]. 中国科学:D辑, 2007,37(10):131-138.
[3]	郭新彪.机动车尾气污染的健康影响:亟待解决的重要公共卫生问题[J]. 环境与健康杂志, 2009,26(9):753-754.
[4]	生态环境部.中国移动源环境管理年报(2021)[R]. 北京:中国环境出版社, 2021. Ministry of Ecological Environment. China mobile source environmental management annual report (2021)[R]. Beijing:China Environmental Press, 2021.
[5]	马洪群,崔莲花.大气污染物(SO2、NO2)对中国居民健康效应影响的meta分析[J]. 职业与健康, 2016,32(8):1038-1044. Ma H Q, Cui L H. Meta-analysis on health effects of air pollutants (SO2 and NO2) in the Chinese population[J]. Occupation and Health, 2016,32(8):1038-1044.
[6]	Gamon L F, Wille U. Oxidative Damage of Biomolecules by the Environmental Pollutants NO2 center dot and NO3 center dot[J]. Accounts of Chemical Research, 2016,49(10):2136-2145.
[7]	Amini H, Nhung N T T, Schindler C, et al. Short-term associations between daily mortality and ambient particulate matter, nitrogen dioxide, and the air quality index in a Middle Eastern megacity[J]. Environmental Pollution, 2017,254(Part B):113121.
[8]	Chen R J, Yin P, Meng X, et al. Associations between ambient nitrogen dioxide and daily cause-specific mortality evidence from 272Chinese cities[J]. Epidemiology, 2018,29(4):482-489.
[9]	Chiusolo M, Cadum E, Stafoggia M, et al. Short-term effects of nitrogen dioxide on mortality and susceptibility factors in 10 Italian Cities:The epiair study[J]. Environmental Health Perspectives, 2011, 119(9):1233-1238.
[10]	Meng X, Liu C, Chen R J, et al. Short term associations of ambient nitrogen dioxide with daily total, cardiovascular, and respiratory mortality:multilocation analysis in 398 cities[J]. British Medical Journal, 2021,372(165):n534.
[11]	张金艳,孟海英,张桂斌,等.北京市朝阳区大气污染与居民每日呼吸系统疾病死亡关系的时间序列研究[J]. 环境与健康杂志, 2011, 28(9):788-791. Zhang J Y, Meng H Y, Zhang G B, et al. Relationship between air pollution and daily respiratory system disease mortality in Chaoyang District, Beijing:a time-series analysis[J]. Journal of Environment and Health, 2011,28(9):788-791.
[12]	张衍粜,周脉耕,贾予平,等.天津市大气气态污染物与居民每日死亡关系的时间序列分析[J]. 中华流行病学杂志, 2010,31(10):1158-1162. Zhang Y T, Zhou M G, Jia Y P, et al. Time-series analysis on the association between gaseous air pollutants and daily mortality in urban residents in Tianjin[J]. Chinese Journal of Epidemiology, 2010,31(10):1158-1162.
[13]	Zhao A, Chen R J, Kuang X Y, et al. Ambient air pollution and daily outpatient visits for cardiac arrhythmia in Shanghai, China[J]. Journal of Epidemiology, 2014,24(4):321-326.
[14]	欧奕含,张小玲,张莹,等.西安BC,PM2.5与气温协同对心脑血管疾病死亡的影响[J]. 中国环境科学, 2021,41(9):4415-4425. Ou Y H, Zhang X L, Zhang Y, et al. Influence of BC, PM2.5, temperature and their synergy on death from cardiovascular diseases in Xi'an[J]. China Environmental Science, 2021,41(9):4415-4425.
[15]	龚天宜,孙兆彬,张小玲,等.人群的自然和社会属性分类下PM2.5对心血管疾病的影响[J]. 中国环境科学, 2019,39(3):1289-1298. Gong T Y, Sun Z B, Zhang X L, et al. Natural and social factor as modifiers of the effects of PM2.5 on daily cardiovascular mortality in Beijing, China[J]. China Environmental Science, 2019,39(3):1289-1298.
[16]	Bell M L, Davis D L. Reassessment of the lethal London fog of 1952:novel indicators of acute and chronic consequences of acute exposure to air pollution[J]. Environmental Health Perspectives, 2001,109(Suppl 3):389-394.
[17]	Cohen A J, Brauer M, Burnett R, et al. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution:an analysis of data from the Global Burden of Diseases Study 2015[J]. The Lancet, 2017,389(10082):1907-1918.
[18]	Lin H, Guo Y F, Di Q, et al. Ambient PM2.5and stroke:effect modifiers and population attributable risk in six low-and middle-income countries[J]. Stroke, 2017,48(5):1191-1197.
[19]	Xu X, Wang G B, Chen N, et al. Long-Term exposure to air pollution and increased risk of membranous nephropathy in China[J]. Journal of the American Society of Nephrology, 2016,27(12):3739-3746.
[20]	石琴,郑山,朱文芝,等.NO2对高血压患者血压和脉压的短期影响[J]. 中国环境科学, 2020,40(8):3627-3635. Shi Q, Zhen S, Zhu W Z, et al. The short-term effects of NO2on blood pressure and pulse pressure in patients with hypertension[J]. China Environmental Science, 2020,40(8):3627-3635.
[21]	Rao X Q, Patel P, Puett R, et al. Air Pollution as a Risk Factor for Type 2Diabetes[J]. Toxicological Sciences, 2015,143(2):231-241.
[22]	张钰娟,薛凤霞,白志鹏.时间调整土地利用回归模型用于孕期空气污染暴露评估的研究进展[J]. 中华预防医学杂志, 2017,51(3):265-276. Zhang Y J, Xue F X, Bai Z P. Applying temporally-adjusted land use regression models to estimate ambient air pollution exposure during pregnancy[J]. Chinese Journal of Preventive Medicine, 2017,51(3):265-276.
[23]	冯春莉,李润奎.基于土地利用回归模型的北京市2013~2019年大气污染时空变化分析[J]. 环境科学学报, 2021,41(4):1231-1238. Feng C L, Lin R K. Spatiotemporal variation analysis of air pollution from 2013 to 2019 in Beijing based on land use regression model[J]. Acta Scientiae Circumstantiae, 2021,41(4):1231-1238.
[24]	马建初,赵时真,莫扬之,等.土地利用回归模型在大气污染物中的应用进展[J]. 环境科学与技术, 2020,43(S02):125-133. Ma J C, Zhao S Z, Mo Y Z, et al. Application progress of land use regression models on atmospheric pollutants[J]. Environmental Science and Technology, 2020,43(S02):125-133.
[25]	邹雨轩,吴志峰,曹峥.耦合土地利用回归与人口加权模型的PM2.5暴露风险评估[J]. 地球信息科学学报, 2019,21(7):1018-1028. Zhou Y X, Wu Z F, Cao Z. Assessing PM2.5exposure risk by coupling land use regression model and population weighted model[J]. Journal of Geo-information Science, 2019,21(7):1018-1028.
[26]	张天岳,沈楠驰,赵雪,等.2015~2019年成渝城市群臭氧浓度时空变化特征及人口暴露风险评价[J]. 环境科学学报, 2021,41(10):4188-4199. Zhang T Y, Shen N C, Zhao X, et al. Spatiotemporal variation characteristics of ozone and its population exposure risk assessment in Chengdu-Chongqing urban agglomeration during 2015 to 2019[J]. Acta Scientiae Circumstantiae, 2021,41(10):4188-4199.
[27]	陈曦,崔阳阳,刘杰,等.火化车间VOCs排放特征、臭氧生成潜势及暴露风险评价[J]. 环境科学学报, 2022,42(8):109-116. Chen X, Cui Y Y, Liu J, et al. VOCs emission characteristics, ozone formation potential and exposure risk assessment in cremation workshop[J]. Acta Scientiae Circumstantiae, 2022,42(8):109-116.
[28]	张一恒.工业发展作用下的黄石城市形态演变研究[D]. 武汉:武汉理工大学, 2013. Zhang Y H. Research on urban form evolution of Huangshi under the effect of industrial development[D]. Wuhan:Wuhan University of Technology, 2013.
[29]	周明卫,康平,汪可可,等.2016~2018年中国城市臭氧浓度时空聚集变化规律[J]. 中国环境科学, 2020,40(5):1963-1974. Zhou M W, Kang P, Wang K K, et al. The spatio-temporal aggregation pattern of ozone concentration in China from 2016 to 2018[J]. China Environmental Science, 2020,40(5):1963-1974.
[30]	汪可可,康平,周明卫,等.四川盆地臭氧浓度空间分异及驱动因子研究[J]. 中国环境科学, 2020,40(6):2361-2370. Wang K K, Kang P, Zhou M W, et al. Spatial differentiation and driving factors of ozone concentration in Sichuan Basin[J]. China Environmental Science, 2020,40(6):2361-2370.
[31]	Peng R D, Dominici F, Louis T A. Model choice in time series studies of air pollution and mortality[J]. Journal of the Royal Statistical Society Series A, 2006,169(2):179-203.
[32]	环境保护部.中国人群暴露参数手册(成人卷)[M]. 北京:中国环境出版社, 2013:12-763. Ministry of Environmental Protection. Handbook of population exposure parameters in China (adult volume)[M]. Beijing:China Environment Press, 2013:12-763.
[33]	环境保护部.中国人群暴露参数手册(儿童卷)[M]. 北京:中国环境出版社, 2016:12-866. Ministry of Environmental Protection. Handbook of population exposure parameters in China (children's volume)[M]. Beijing:China Environment Press, 2016:12-866.
[34]	杨光飞,李思茵,李文丽.中国城市二氧化氮浓度的时空分布特征[J]. 环境科学与技术, 2019,42(S02):200-206. Yang G F, Li S Y, Li W L. Spatial and temporal distribution characteristics of nitrogen dioxide concentration in Chinese cities[J]. Environmental Science & Technology, 2019,42(S02):200-206.
[35]	韩培光,李伟东,彭小桂,等.黄石市现代典型矿业遗迹基本特征及开发建议[J]. 资源环境与工程, 2008,22(3):377-386. Han P G, Li W D, Peng X G, et al. Basic Characteristics and Development Suggestions of Modern Typical Mining Heritages in Huangshi City[J]. Resources Environment & Engineering, 2008,22(3):377-386.
[36]	刘勇,芦茜,黄志军,等.大气污染物对人体健康影响的研究[J]. 中国现代医学杂志, 2011,21(1):87-91. Liu Y, Lu Q, Huang Z J, et al. Air pollution and its health impact[J]. China Journal of Modern Medicine, 2011,21(1):87-91.
[37]	Zhu N, Li H Y, Han M, et al. Environmental nitrogen dioxide (NO2) exposure influences development and progression of ischemic stroke[J]. Toxicology Letters, 2012,214(2):120-130.
[38]	Brook R D, Franklin B, Cascio W, et al. Air pollution and cardiovascular disease:a statement for healthcare professionals from the expert panel on population and prevention science of the american heart association[J]. Circulation, 2004,109(21):2655-2671.
[39]	Sun Q H, Yue P, Deiuliis J A, et al. Ambient Air Pollution Exaggerates Adipose Inflammation and Insulin Resistance in a Mouse Model of Diet-Induced Obesity[J]. Circulation, 2009,119(4):538-546.
[40]	代甜,王敏珍,靳亚飞,等.大气SO2和NO2对2型糖尿病发病影响的队列研究[J]. 兰州大学学报(医学版), 2021,47(3):51-57. Dai T, Wang M Z, Jin Y F, et al. Long-term exposure to SO2, NO2 and incidence of type 2 diabetes mellitus:a cohort study[J]. Journal of Lanzhou University (Medical Sciences), 2021,47(3):51-57.
[41]	王永胜,杨丽霞,程涛,等.糖尿病肾病的炎症致病机制与中药防治[J]. 中国实验方剂学杂志, 2018,24(2):200-207. Wang Y S, Yang L X, Cheng T, et al. Pathogenic mechanism of inflammation and TCM intervention of diabetic nephropathy[J]. Chinese Journal of Experimental Traditional Medical Formulae, 2018, 24(2):200-207.
[42]	郭振.二氧化氮(NO2)吸入暴露对大鼠不同脏器DNA损伤研究[D]. 太原:山西大学, 2012. Guo Z. DNA damage in different tissues from rat induced by NO2 inhalation[D]. Taiyuan:Shanxi University, 2012.
[43]	丁鑫.空气质量恶化对户外劳动者工作时间影响研究[D]. 武汉:中南财经政法大学, 2020. Ding X. The effect of air quality deterioration on working hours of outdoor workers[D]. Wuhan:Zhongnan University of Economics and Law, 2020.
[44]	黄桥梁,王临池.苏州市居民呼吸系统疾病死亡与大气二氧化氮的相关性研究[J]. 中国初级卫生保健, 2017,31(5):52-54. Huang Q L, Wang L Y. Correlation study on respiratory disease deaths and nitrogen dioxide in the atmosphere for residents in Suzhou[J]. Chinese Primary Health Care, 2017,31(5):52-54.
[45]	王晓莹.武汉市大气污染对呼吸和心血管疾病日住院人数的影响[D]. 武汉:华中科技大学, 2017. Wang X Y. The effects of air pollution on daily respiratory and cardiovascular diseases hospital admissions in Wuhan[D]. Wuhan:Huazhong University of Science and Technology, 2017.
[46]	朱嫒嫒,李士雪,吴敏,等.济南市≥65岁老人身体健康状况及影响因素分析[J]. 中国公共卫生, 2011,27(4):433-435. Zhu Y Y, Li S X, Wu M, et al. Physical health status and its influential factors among the elderly ≥65years old in Ji'nan city[J]. Chinese Journal of Public Health, 2011,27(4):433-435.
[47]	刘书馨,肖佳,何昕晖,等.空气污染与慢性肾病关系的研究进展[J]. 公共卫生与预防医学, 2020,31(3):117-121. Liu S X, Xiao J, He X H, et al. Research progress on the relationship between air pollution and chronic kidney disease[J]. Journal of Public Health and Preventive Medicine, 2020,31(3):117-121.
[48]	He P H, Chen R X, Zhou L P, et al. Higher ambient nitrogen dioxide is associated with an elevated risk of hospital-acquired acute kidney injury[J]. Clinical Kidney Journal, 2022,15(1):95-100.
[49]	张钊铭,刘玟彤,周丽婷,等.长春市大气污染与冠心病住院人次的关联性[J]. 中国老年学杂志, 2020,40(7):1345-1349. Zhang Z M, Liu W T, Zhou L T, et al. Study on the correlation between air pollution and hospitalization of coronary heart disease in Changchun city[J]. Chinese Journal of Gerontology, 2020,40(7):1345-1349.
[50]	张璟,邓豪,段雯华,等.大气污染物对呼吸系统疾病入院影响的病例交叉研究[J]. 中国热带医学, 2020,20(6):519-522. Zhang J, Deng H, Duan W H, et al. A case-crossover study on air pollutants and hospital admission for respiratory diseases[J]. China Tropical Medicine 2020,20(6):519-522.
[51]	张经纬,侯常春,王淼,等.大气污染物与气温对2型糖尿病发病的交互作用研究[J]. 环境与健康杂志, 2020,37(8):678-683. Zhang J W, Hou C C, Wang M, et al. Interaction between temperature and air pollutants on incidence of type 2diabetes[J]. Journal of Environment and Health, 2020,37(8):678-683.
[52]	齐俊锋,李俊琳,祝淑珍,等.湖北省6市县35~75岁居民心血管病危险因素聚集情况分析[J]. 现代预防医学, 2019,46(9):1627-1630. Qi J F, Li J L, Zhu S Z, et al. Clustering status and risk factors of cardiovascular disease among urban and rural residents aged 35-75years,Hubei[J]. Modern Preventive Medicine, 2019,46(9):1627-1630.
[53]	陈上骞,王绚璇,周尚成,等.湖北省10个县慢性疾病流行病学调查及相关因素分析[J]. 医学与社会, 2012,25(5):24-26. Chen S Q, Wang X X, Zhou S C, et al. Analyze on Chronic Disease Epidemiology and Related Factors in 10counties of Hubei Province[J]. Medicine and Society, 2012,25(5):24-26.
[54]	邹浩,姜东旭,张琳琳.慢性病患者就医延迟评估工具及影响因素的研究进展[J]. 中国全科医学, 2022,25(7):893-897. Zhou H, Jiang D X, Zhang L L. Recent advances in evaluation tools and associated factors for patient delay in chronic disease patients[J]. Chinese General Practice, 2022,25(7):893-897.
[55]	马煜,杜昕,邓亚丽,等.陕西省2015~2019年学生肺结核患者就诊延迟影响因素分析[J]. 中国学校卫生, 2021,42(4):615-618. Ma Y, Du X, Deng Y L, et al. Factors influencing the delay of seeking medical treatment among students with tuberculosis in Shaanxi Province from 2015 to 2019[J]. Chinese Journal of School Health, 2021,42(4):615-618.
[56]	喻惠丹.心肌梗死患者就医延迟相关因素的探讨[D]. 武汉:武汉大学, 2013. Yu H D. Factors related to pre-hospital delay in Chinese patients with Acute Myocardial Infarction(AMI)[D]. Wuhan:Wuhan University, 2013.
[57]	姜宗良,王海播,王语嫣,等.慢性阻塞性肺疾病急性发作期患者就医延迟行为的现象学研究[J]. 中国全科医学, 2020,23(27):3396-3401. Jiang Z L, Wang H B, Wang Y Y, et al. A phenomenology study on medical delay in patients with acute exacerbation of COPD[J]. Chinese General Practice, 2020,23(27):3396-3401.