Association of Aerosol Optical Depth Based on Satellite Remote Sensing Data and Lung Cancer in Zhejiang Province

YU Jian; YU Jie; YING Qian; YU Haiyan; ZHANG Zili

doi:10.3971/j.issn.1000-8578.2020.20.0419

Cancer Research on Prevention and Treatment > 2020 > 47(10): 776-781. > DOI: 10.3971/j.issn.1000-8578.2020.20.0419

YU Jian, YU Jie, YING Qian, YU Haiyan, ZHANG Zili. Association of Aerosol Optical Depth Based on Satellite Remote Sensing Data and Lung Cancer in Zhejiang Province[J]. Cancer Research on Prevention and Treatment, 2020, 47(10): 776-781. DOI: 10.3971/j.issn.1000-8578.2020.20.0419

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Association of Aerosol Optical Depth Based on Satellite Remote Sensing Data and Lung Cancer in Zhejiang Province

1.
Zhejiang Province Ecological Environmental Monitoring Center Institute of Ecological Monitoring and Evaluation, Hangzhou 310012, China
2.
Institute of Basic Medicine and Cancer, Chinese Academy of Science, Cancer Hospital of University of Chinese Academy of Science, Zhejiang Cancer Hospital, Research Institute of Zhejiang Cancer, Hangzhou 310022, China

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Corresponding author:
YU Jie, E-mail: hzyujie@163.com
Received Date: April 25, 2020
Revised Date: August 22, 2020
Available Online: January 12, 2024

Graphical Abstract

Abstract

Abstract

Objective
To investigate the correlation between aerosol optical depth based on satellite remote sensing data and lung cancer incidence.
Methods
The aerosol optical depth data of Zhejiang Province was derived from the secondary level aerosol product synthesized from the data of the moderate-resolution imaging spectroradiometer (MODIS) carried by the American polar-orbiting satellites Terra and Aqua with a spatial resolution of 10 km. The data of lung cancer incidence in tumor registration area of Zhejiang Province in 2015 was from Annual Report of Cancer Registration in China in 2018.
Results
From 2010 to 2014, the average aerosol optical depth levels of Zhejiang Province were 0.389±0.108, 0.539±0.146, 0.485±0.134, 0.458±0.140 and 0.550±0.149, respectively. The average aerosol optical depth in Zhejiang Province cancer registration area from 2010 to 2014 was 0.524±0.141, with 0.533±0.132 in urban area and 0.518±0.153 in rural area. The annual aerosol optical depth values in urban and rural areas had no statistical difference (all P > 0.05). Taken interquartile range of aerosol optical depth level as the boundary, the lung cancer incidence in Q1(P0-P25), Q2(P25-P50), Q3(P50-P75) and Q4(P75-P100) areas were 49.44/10⁵, 76.58/10⁵, 72.40/10⁵ and 84.02/10⁵, respectively. There was statistical differences in the incidence of lung cancer in different aerosol optical depth regions (P < 0.001). The multiple linear regression analysis showed that aerosol optical depth and per capita disposable income were statistically significant influencing factors for lung cancer incidence from 2010 to 2014 (P < 0.05).
Conclusion
Based on the satellite remote sensing data, the aerosol optical depth has a statistically significant correlation with the lung cancer incidence. The aerosol optical depth can reflect the risk of lung cancer clearly and can be used as a valuable indicator to monitor environmental quality.
- Aerosol optical depth,
- Lung cancer,
- Incidence,
- Correlation

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References (26)

References

[1]	郑荣寿, 孙可欣, 张思维, 等. 2015年中国恶性肿瘤流行情况分析[J].中华肿瘤杂志, 2019, 41(1): 19-28. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zhzl201901008 Zheng RS, Sun KX, Zhang SW, et al. Report of cancer epidemiology in China, 2015[J]. Zhonghua Zhong Liu Za Zhi, 2019, 41(1): 19-28. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zhzl201901008
[2]	Guo Y, Zeng H, Zheng R, et al. The association between lung cancer incidence and ambient air pollution in China:a spatiotemporoal analysis[J]. Environ Res, 2016, 144(Pt A): 60-65.
[3]	Chen GB, Wan X, Yang GH, et al. Traffic-related air pollution and lung cancer: a meta-analysis[J]. Thorac Cancer, 2015, 6(3): 307-318. doi: 10.1111/1759-7714.12185
[4]	厉青, 陈良富.大气环境卫星遥感技术及其应用[M].北京:科学出版社, 2010. Li Q, Chen LF. Satellite Remote Sensing Technology for Atmospheric Environment and Application[M]. Beijing: Science Press, 2010.
[5]	张新蕾, 黄凤荣.基于大连市MODIS数据的气溶胶光学厚度与PM2.5和PM10的相关性分析[J].国土与自然资源研究, 2017, 6: 59-61. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gtyzrzyyj201706018 Zhang XL, Huang FR. Correlative Analysis of Aerosol Optical Thickness and PM2.5 and PM10 Based on MODIS Data of Dalian[J]. Guo Tu Yu Zi Ran Zi Yuan Yan Jiu, 2017, 6: 59-61. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gtyzrzyyj201706018
[6]	Gharibvand L, Shavlik D, Ghamsary M, et al. The association between ambient fine particulate air pollution and lung cancer incidence: results from the AHSMOG-2 study[J]. Enviorn Health Perspect, 2017, 125(3): 378-384. doi: 10.1289/EHP124
[7]	吴筱音, 李国星, 王旭英, 等.北京市大气污染与呼吸系统疾病死亡的相关性——基于卫星遥感数据的时空分析[J].北京大学学报(医学版), 2017, 49(3): 409-417. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=bjykdxxx201703007 Wu XY, Li GX, Wang XY, et al. Correlation study between respiratory death and airborne particles in Beijing: Spa-tiotemporal analysis based on satellite remote sensing data[J]. Beijing Da Xue Xue Bao (Yi Xue Ban), 2017, 49(3): 409-417. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=bjykdxxx201703007
[8]	孙晓雷, 甘伟, 林燕, 等. MODIS 3km气溶胶光学厚度产品检验及其环境空气质量指示[J].环境科学学报, 2015, 35(6): 1657-1666. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hjkxxb201506008 Sun XL, Gan W, Lin Y, et al. Validation of MODIS 3 km aerosol optical depth product and its air quality indication[J]. Huan Jing Ke Xue Xue Bao, 2015, 35(6): 1657-1666. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hjkxxb201506008
[9]	赫捷, 魏文强, 张思维, 等. 2018中国肿瘤登记年报[M].北京:人民卫生出版社, 2019. He J, Wei WQ, Zhang SW, et al. Annual Report of Cancer Registration in China in 2018[M]. Beijing: People's Medical Publishing House, 2019.
[10]	王悠清, 李辉章, 龚巍巍, 等. 2015年浙江省肿瘤登记地区恶性肿瘤发病与死亡分析[J].中国肿瘤, 2019, 28(1): 12-22. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgzl201901002 Wang YQ, Li HZ, Gong WW, et al. Analysis of Cancer Incidence and Mortality in Zhejiang Cancer Registries, 2015[J]. Zhongguo Zhong Liu, 2019, 28(1): 12-22. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgzl201901002
[11]	浙江省统计局, 国家统计局浙江调查总队. 2014浙江统计年鉴[M].北京:中国统计出版社, 2014. Zhejiang provincial statistics bureau, National statistics bureau, Zhejiang survey team. 2014 Zhejiang Statistical Yearbook[M]. Beijing: China Statistics Press, 2014.
[12]	Guo H, Li W, Wu J. Ambient PM2.5 and annual lung cancer incidence: a nationwide study in 295 Chinese counties[J]. Int J Environ Res Public Health, 2020, 17(5): E1481. doi: 10.3390/ijerph17051481
[13]	孙可欣, 郑荣寿, 曾红梅, 等. 2014年中国肺癌发病和死亡分析[J].中华肿瘤杂志, 2018, 40(11): 805-810. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zhzl201811002 Sun KX, Zheng RS, Zeng HM, et al. The incidence and mortality of lung cancer in China, 2014[J]. Zhonghua Zhong Liu Za Zhi, 2018, 40(11): 805-810. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zhzl201811002
[14]	蔡玥, 严宝湖, 周恭伟, 等. 2011-2015年中国肺癌直接经济负担及次均费用分析[J].中国卫生统计, 2018, 35(3): 334-337. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgwstj201803003 Cai Y, Yan BH, Zhou GW, et al. Analysis of direct economic burden and average hospitalization cost of lung cancer in China in 2011-2015[J]. Zhongguo Wei Sheng Tong Ji, 2018, 35(3): 334-337. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgwstj201803003
[15]	李雪琴, 陈中文, 金鎏, 等. 2010年至2014年浙江省肿瘤登记地区肺癌发病和死亡情况分析[J].中国肿瘤临床, 2018, 45(22): 1151-1154. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgzllc201822005 Li XQ, Chen ZW, Jing X, et al. Analysis of incidence and mortality of lung cancer in cancer registration area in Zhejiang province in 2010-2014[J]. Zhongguo Zhong Liu Lin Chuang, 2018, 45(22): 1151-1154. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgzllc201822005
[16]	Bai L, Shin S, Burnett RT, et al. Exposure to ambient air pollution and the incidence of lung cancer and breast cancer in the Ontario Population Health and Environment Cohort[J]. Int J cancer, 2020, 146(9): 2450-2459. doi: 10.1002/ijc.32575
[17]	Luo J, Hendryx M, Ducatman A. Association between six environmental chemicals and lung cancer incidence in the United States[J]. J Environ Public Health, 2011, 2011: 463701. http://europepmc.org/articles/PMC3136160
[18]	顾吉林, 汤宏山, 刘淼, 等.大连市大气污染物质量浓度与气溶胶光学厚度的相关性分析[J].地理科学, 2019, 39(3): 516-523. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dlkx201903018 Gu JL, Tang HS, Liu M, et al. Correlation analysis between the concentration of atmospheric pollutant and aerosol optical depth in Dalian city[J]. Di Li Ke Xue, 2019, 39(3): 516-523. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dlkx201903018
[19]	Jenwitheesuk K, Peansukwech U, Jenwitheesuk K, et al. Construction of polluted aerosol in accumulation that affects the incidence of lung cancer[J]. Heliyon, 2020, 6(2): e03337.
[20]	Zhou Y, Li L, Hu L. Correlation analysis of PM10 and the incidence of lung cancer in Nanchang, China[J]. Int J Environ Res Public Health, 2017, 14(10): 1253. doi: 10.3390/ijerph14101253
[21]	巨英超, 刘亮, 贺宇彤, 等.大气细颗粒物PM2.5致Wistar大鼠肺部病变的研究[J].肿瘤防治研究, 2017, 44(10): 652-658. doi: 10.3971/j.issn.1000-8578.2017.17.0272 Ju YC, Liu L, He YT, et al. Pulmonary lesions of Wistar rats induced by atmospheric particulate PM2.5[J]. Zhong Liu Fang Zhi Yan Jiu, 2017, 44(10): 652-658. doi: 10.3971/j.issn.1000-8578.2017.17.0272
[22]	Yoon HJ, Xu SH, Tourassi G. Predicting lung cancer incidence from air pollution exposures using shapelet-based time series analysis[J]. IEEE EMBS Int Conf Biomed Health Inform, 2016, 2016: 565-568. http://europepmc.org/abstract/MED/28480454
[23]	Raaschou-Nielsen O, Andersen ZJ, Beelen R, et al. Air pollution and lung cancer incidence in 17 European cohorts: prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE)[J]. Lancet Oncol, 2013, 14(9): 813-822. doi: 10.1016/S1470-2045(13)70279-1
[24]	Guo YM, Zeng HM, Zheng RS, et al. The association between lung cancer incidence and ambient air pollution in China:a spatiotemporal analysis[J]. Environ Res, 2016, 144(Pt A): 60-65. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=WK_MED201904222090
[25]	李媛秋, 刘剑君, 么鸿雁.肺癌发病和死亡流行情况与人类发展指数的关系分析[J].中国肿瘤, 2019, 28(9): 646-650. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgzl201909002 Li YQ, Liu JJ, Yao HY. Relationship of lung cancer incidence and mortality with national levels of human development index[J]. Zhongguo Zhong Liu, 2019, 28(9): 646-650. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zgzl201909002
[26]	Guo H, Chang Z, Wu J, et al. Air polluion and lung cancer incidence in china: who are faced with a greater effect?[J]. Environ Int, 2019, 132: 105077. doi: 10.1016/j.envint.2019.105077

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Association of Aerosol Optical Depth Based on Satellite Remote Sensing Data and Lung Cancer in Zhejiang Province