Industrial pollution emissions based on thermal anomaly remote sensing monitoring:A case study of Southern Hebei urban agglomerations, China
SUN Shuang1, LI Ling-jun2, ZHAO Wen-ji1, WANG Li-li1, QIU Yun2, JIANG Lei2, ZHANG Li-kun2
1. School of Resources, Environment & Tourism, Capital Normal University, Beijing 100048, China;
2. Beijing Municipal Environmental Monitoring Center, Beijing 100048, China
The urban agglomerations of southern Hebei were selected as the study area. Statistical and spatial analysis methods were applied to a variety of datasets including VⅡRS thermal anomaly products from 2012~2016, industrial energy consumption, industrial exhaust emissions and air quality data. The variation law of radiation intensity of thermal anomaly was the main principle examined with the data on industrial energy consumption and pollution emissions. The fire radiative power of thermal anomalies can characterize industrial energy consumption and indirectly reflect industrial production scale and pollution emission levels. The greater the fire radiative power, the larger the scale of industrial production. Radiation intensity was highly correlated with industrial SO2 emissions and moderately linear with NOx emissions. The grey correlations between pollutant's concentration and industrial energy consumption, pollutant concentration and thermal anomaly radiation intensity were both higher. Among the pollutants produced by industrial production activities, particulate matter had the highest contribution to atmospheric pollution, followed by SO2. In the 2012~2016 period, the spatial distribution of industrial production in Handan, Shijiazhuang and Langfang showed a trend toward shrinking year by year. The industrial production of Baoding and Cangzhou showed a trend of migration to the south and west.
Lu C, Li W. A comprehensive city-level GHGs inventory accounting quantitative estimation with an empirical case of Baoding[J]. Science of The Total Environment, 2019,651(9):601-613.
[2]
Zhang S H, Ren T H, Zhou W J, et al. Assessing air pollution abatement co-benefits of energy efficiency improvement in cement industry:A city level analysis[J]. Journal of Cleaner Production, 2018,185(2):761-771.
[3]
赵辉,郑有飞,吴晓云,等.江苏省大气复合污染特征与相关气象驱动[J]. 中国环境科学, 2018,38(8):2830-2839. Zhao H, Zheng Y F, Wu X Y, et al. Atmospheric compound pollution characteristics and the effects of meteorological factors in Jiangsu Province[J]. China Environmental Science, 2018,38(8):2830-2839.
[4]
孙爽,李令军,赵文吉,等.京津冀大气污染变化规律及其与植被指数相关性分析[J]. 环境科学, 2019,40(4):1585-1593. Sun S, Li L J, Zhao W J, et al. Variation in pollutant concentrations and correlation analysis with the vegetation index in Beijing-Tianjin-Hebei[J] Environmental Science, 2019,40(4):1585-1593.
[5]
张莉沙.中国钢铁产业环境影响评价及其低碳发展研究[D]. 长沙:湖南大学, 2012. Zhang L S. Environmental impact assessment of China's iron and steel industry and its low-carbon development research[D]. Changsha:Hunan University, 2012.
[6]
张捷,赵秀娟.碳减排目标下的广东省产业结构优化研究-基于投入产出模型和多目标规划模型的模拟分析[J]. 中国工业经济, 2015,(6):68-80. Zhang J, Zhao X J. The optimization of Guangdong province's industrial structure under the objective of carbon emissions reduction asimulating analysis based on input-output model and multi-objective programming model[J]. China Industrial Economic, 2015(6):68-80.
[7]
陈莎,孙中梅,李素梅,等.动态生命周期评价的研究与应用现状[J]. 中国环境科学, 2018,38(12):4764-4771. Chen S, Sun Z M, Li S M, et al. Research and application status of dynamic life cycle assessment[J]. China Environmental Science, 2018,38(12):4764-4771.
[8]
杜庆坤.京津冀地区产业发展对大气污染影响研究[D]. 北京:中国地质大学, 2017. Du Q K. Research on the impact of industrial development on Air Pollution in Beijing-Tianjin-Hebei region[D]. Beijing:China University of Geosciences (Beijing), 2017.
[9]
刘丹.西安市环境空气质量与能源结构的相关性研究[D]. 西安:西安科技大学, 2018. Liu D. Correlation analysis of air quality and energy constitution in Xi'an[D]. Xi'an:Xi'an University of Science and Technology, 2018.
[10]
任欢欢.2014~2017年我国经济区及省会城市经济发展与环境空气质量关系研究[D]. 兰州:兰州大学, 2018. Ren H H. Study on the relationship between economic development and ambient air quality in China's economic zones and capital cities from 2014 to 2017[D]. Lanzhou:Lanzhou University, 2018.
[11]
闫蕊.高经济增长及能源消耗趋势下的上海市工业污染排放量预测研究[D]. 无锡:江南大学, 2013. Yan R. Prediction of industrial pollution discharge in Shanghai with the trend of high economic growth and energy consumption[D]. Wuxi:Jiangnan University, 2013.
[12]
张思,刘志红,佟洪金,等.基于遥感数据的秸秆焚烧源排放清单及时空分布特征[J/OL]. 环境科学研究, 1-15.[2019-04-21]. https://doi.org/10.13198/j.issn.1001-6929.2019.01.24. Zhang S, Liu Z H, Tong H J, et al. Emission inventory of crop straw field burning and its temporal and spatial allocation based on remote sensing data[J/OL]. Research of Environmental Sciences,[2019-04-21]. https://doi.org/10.13198/j.issn.1001-6929.2019.01.24.
[13]
程良晓,范萌,陈良富,等.秋季秸秆焚烧对京津冀地区霾污染过程的影响分析[J]. 中国环境科学, 2017,37(8):2801-2812. Cheng L X, Fan M, Chen L F, et al. Effects on the haze pollution from autumn crop residue burning over the Jing-Jin-Ji Region[J]. China Environmental Science, 2017,37(8):2801-2812.
[14]
段然,李令军,姜磊,等.基于Himawari-8卫星的中国东北秸秆焚烧监测及其对空气质量的影响研究[J]. 环境污染与防治, 2018,40(3):274-277. Duan R, Li L J, Jiang L, et al. Monitoring of straw burning in northeast China based on Himawari-8satellite and study of its influence on air quality[J]. Environmental Pollution & Control, 2018,40(3):274-277.
[15]
吴立新,吕鑫,秦凯,等.秸秆焚烧期间徐州市空气污染物时空分布特征分析[J]. 地理与地理信息科学, 2014,30(1):18-22+31. Wu L X, Lv X, Qin K, et al. On spatio-temporal features of air pollutants in Xuzhou city during straw burning period[J]. Geography and Geo-Information Science, 2014,30(1):18-22+31.
[16]
Zhou Y, Zhao F, Wang S X, et al, A method for monitoring iron and steel factory economic activity based on satellites[J]. Sustainability, 2018,10(6):1935-1956.
[17]
孙佳琪,刘永学,董雁伫,等.基于Suomi-NPP VⅡRS夜间热异常产品的城市工业热源分类-以京津冀地区为例[J]. 地理与地理信息科学, 2018,34(3):13-19. Sun J Q, Liu Y X, Dong Y Z, et al. Classification of urban industrial heat sources based on Suomi-NPP VⅡRS nighttime thermal anomaly products:A case study of the Beijing-Tianjin-Hebei region[J]. Geography and Geo-Information Science, 2018,34(3):13-19.
[18]
Liu Y, Hu C, Zhan W, et al. Identifying industrial heat sources using time-series of the VⅡRS nightfire product with an object-oriented approach[J]. Remote Sensing of Environment, 2018,204(10):347-365.
[19]
Xia H, Chen Y, Quan J, et al. A simple method based on the thermal anomaly index to detect industrial heat sources[J]. International Journal of Applied Earth Observation and Geoinformation, 2018,73(8):627-637.
[20]
Elvidge C, Zhizhin M, Baugh K, et al. Methods for global survey of natural gas flaring from Visible Infrared Imaging Radiometer Suite Data[J]. Energies, 2016,9(1):14.
[21]
杜颖.河北省经济增长与大气污染关系研究[D]. 北京:中国地质大学(北京), 2016. Du Y. Study on the relationship between economic growth and air pollution in Hebei province[D]. Beijing:China University of Geosciences (Beijing), 2016.
[22]
崔立明,赵春丽,周春瑶.京津冀地区重点耗煤行业大气污染物排放清单研究[J]. 中国环境管理, 2018,10(3):27-31. Cui L M, Zhao C L, Zhou C Y. Study on Beijing-Tianjin-Hebei Region key coal consuming industry emission inventory[J]. Chinese Journal of Environmental Management, 2018,10(3):27-31.
[23]
王慧丽,雷宇,陈潇君,等.京津冀燃煤工业和生活锅炉的技术分布与大气污染物排放特征[J]. 环境科学研究, 2015,28(10):1510-1517. Wang H L, Lei Y, Chen X J, et al. Technology distribution and air pollutant emissions from coal-fired boilers for industrial and resident-al use in Beijing-Tianjin-Hebei area[J]. Research of Environmental Sciences, 2015,28(10):1510-1517.
[24]
伯鑫,徐峻,杜晓惠,等.京津冀地区钢铁企业大气污染影响评估[J]. 中国环境科学, 2017,37(5):1684-1692. Bo X, Xu J, Du X H, et al. Impacts assessment of steel plants on air quality over Beijing-Tianjin-Hebei area[J]. China Environmental Science, 2017,37(5):1684-1692.
[25]
王晓彦,王帅,朱莉莉,等.2014~2016年京津冀沿山城市空气质量首要污染物特征分析[J]. 环境科学, 2018,39(10):4422-4429. Wang X Y, Wang S, Zhu L L, et al. Characteristics of primary pollutants of air quality in cities along the Taihang Mountains in Beijing-Tianjin-Hebei Region during 2014~2016[J]. Environmental Science, 2018,39(10):4422-4429.
[26]
杨旭.京津冀地区空气污染特征与气象成因及其预报研究[D]. 兰州:兰州大学, 2017. Yang X. Research on characteristics of air pollution and its meteorological reasons and forecasting method in Beijing-Tianjin-Hebei Region[D]. Lanzhou:Lanzhou University, 2017.
[27]
Schroeder W, Oliva P, Giglio L, et al. The New VⅡRS 375m active fire detection data product:Algorithm description and initial assessment[J]. Remote Sensing of Environment, 2014,(5):85-96.
[28]
Boersma K F, Eskes H J, Dirksen R J, et al. An improved tropospheric NO2column retrieval algorithm for the Ozone Monitoring Instrument[J]. Atmos. Meas. Tech, 2011,(4):1905-1928.
[29]
王桥,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, 2011. Wang Q, Li Q, Chen L F. Atmospheric environment satellite remote sensing technology and its application[M]. Beijing:Science Press, 2011.
[30]
胡庆华,李兵.基于MODIS卫星数据的黑龙江省生物质燃烧火点时空分布[J]. 草业科学, 2018,35(8):2049-2057. Hu Q H, Li B. Spatial and temporal distribution of biomass burning fire spot in Heilongjiang province based on MODIS satellite data[J]. Pratacultural Science, 2018,35(8):2049-2057.
[31]
彭玏,赵媛媛,赵吉麟,等.京津冀大气污染传输通道区大气污染时空格局研究[J]. 中国环境科学, 2019,39(2):449-458. Peng L Zhao Y Y, Zhao J L, et al. Spatiotemporal patterns of air pollution in air pollution transmission channel of Beijing-Tianjin-Hebei from 2000 to 2015[J]. China Environmental Science, 2019, 39(2):449-458.
[32]
蒋姝睿,王玥,王萌,等.区域视角下中国工业行业与工业污染关系[J]. 中国环境科学, 2017,37(11):4380-4387. Jiang Z R, Wang Y, Wang M, et al. Industrial sectors and pollution in China based on the regional perspective[J]. China Environmental Science, 2017,37(11):4380-4387.
[33]
刘思峰,党耀国,方志耕.灰色系统理论及其应用[M]. 3版.北京:科学出版社, 2010. Liu S F, Dang Y G, Fang Z G. Grey system theory and its applications (3rd Edition)[M]. Beijing:Science Press, 2010.
[34]
魏延生.基于POI和滴滴出行数据的人们打车需求分析[D]. 北京:中国科学院大学(中国科学院东北地理与农业生态研究所), 2018. Wei Y S. Study on Demand of Taxi Based on Didi and POI Data-Taking Beijing Central Region as an example[D]. Beijing:Northeast Institute of Geography and Agroecology, Chinese Academy of Science, 2018.
[35]
王磊.自适应亲和传播聚类算法的研究与应用[D]. 西安:陕西师范大学, 2011. Wang L. Research and Application of Adaptive Affinity Propagation Clustering Algorithm[D]. Xi'an:Shanxi Nornal University, 2018.
[36]
许亚宣,李小敏,于华通,等.邯郸市大气复合污染特征的监测研究[J]. 环境科学学报, 2015,(9):2710-2722. Xu Y X, Li X M, Yu H T, et al. Characteristics of air pollution complex in Handan[J]. Acta Scientiae Circumstantiae, 2015,35(9):2710-2722.
[37]
赵乐.邯郸市近年来大气污染特征变化研究[D]. 邯郸:河北工程大学, 2018. Zhao L. The Change of Air Pollution Characteristics in Recent Years in Handan, China[D]. Handan:Hebei University of Engineering, 2018.
[38]
王开月.石家庄工业结构优化阶段性特征及对经济的影响[D]. 石家庄:河北经贸大学, 2015. Wang K Y. Phase characteristics of industrial structure and its impact on the economy in Shijiazhuang[D]. Shijiazhuang:Hebei University of Economics and Business, 2015.
[39]
尹健伟,高媛媛.衡水市规模工业支柱行业筛选及评价-基于"三经普"数据的分析[J]. 衡水学院学报, 2017,19(1):54-58. Yin J W, Gao Y Y. Screening and evaluating of the pillar industries in Hengshui city-based on the Third National Economic Census[J]. Journal of Hengshui University, 2017,19(1):54-58.
[40]
国务院.大气污染防治行动计划[EB/OL]. http://www.gov.cn/zhengce/content/2013-09/13/content4561.htm/2019-01-29. State Council. Air Pollution Prevention Action Plan[EB/OL]. http://www.gov.cn/zhengce/content/2013-09/13/content4561.htm/2019-01-29.
[41]
河北日报.河北省超额完成国家"大气十条"目标任务[EB/OL]. http://www.gov.cn/xinwen/2018-01/06/content5253866.htm/2018-01-06. Hebei Daily. Hebei Province overfulfills the national "Action Plan of Air Pollution Prevention and Control" target mission[EB/OL]. http://www.gov.cn/xinwen/2018-01/06/content_5253866.htm/2018-01-06.
[42]
王建峰,韩素卿.河北省调整产业结构、化解过剩产能的路径选择[J]. 河北经贸大学学报, 2018,39(1):104-108. Wang J F, Han S Q. The path choice of adjusting industrial structure and resolving excess capacity in Hebei Province[J]. Journal of Hebei University of Economics and Business, 2018,39(1):104-108.
[43]
沧州市城乡规划局.沧州市城市总体规划(2008-2020年)说明书[EB/OL]. http://www.doc88.com/p-3307343003994.html/2019-01-29. Cangzhou Urban and Rural Planning Bureau. Cangzhou city master plan (2008-2020)[EB/OL]. http://www.doc88.com/p-3307343003994. html/2019-01-29.
[44]
保定市人民政府.《保定市城市总体规划(2011-2020年)》(摘要)[EB/OL]. http://www.bd.gov.cn/content-173-9449.html/2013-04-11. Baoding Municipal People's Government. Baoding city master plan (2011-2020) (Abstract)[EB/OL]. http://www.bd.gov.cn/content-173-9449.html/2013-04-11.
[45]
河北省统计局.《河北经济年鉴-2017》[M]. 北京:中国统计出版社, 2018. Hebei Provincial Bureau of Statistics. Hebei economic yearbook-2017[M]. Beijing:China Statistics Press, 2018.
[46]
刘嘉慧,赵小锋,林剑艺.基于地表能量平衡的厦门岛城市功能区人为热排放分析[J]. 地球信息科学学报, 2018,20(7):1026-1036. Liu J H, Zhao X F, Lin J Y. Analysis of anthropogenic heat discharge of urban functional regions based on surface energy balance in Xiamen Island[J]. Journal of Geo-information Science, 2018,20(7):1026-1036.
[47]
贺晋瑜,燕丽,雷宇,等.京津冀地区燃煤锅炉PM2.5减排潜力分析[J]. 中国环境科学, 2017,37(4):1247-1253. He J Y, Yan L, Lei Y, et al. PM2.5 emissions reduction potential from coal-fired boilers in Beijing-Tianjin-Hebei area[J]. China Environmental Science, 2017,37(4):1247-1253.
[48]
张银龙.华北地区大气污染下的产业结构分析及区域联防机制研究[D]. 郑州:河南大学, 2015. Zhang Y L. The analysis of industrial structure and zone joint prevention in North China[D]. Zhengzhou:Henan University, 2015.
[49]
段文娇,郎建垒,程水源,等.京津冀地区钢铁行业污染物排放清单及对PM2.5影响[J]. 环境科学, 2018,39(4):1445-1454. Duan W J, Lang J L, Cheng S Y. Air pollutant emission inventory from iron and steel industry in the Beijing-Tianjin-Hebei region and its impact on PM2.5[J]. Environmental Science, 2018,39(4):1445-1454.
[50]
李瑞芃,吴琳,毛洪钧,等.廊坊市区主要大气污染源排放清单的建立[J]. 环境科学学报, 2016,(10):3527-3534. Li R P, Wu L, Mao H J, et al. Establishment of an air pollutant emission inventory for Langfang urban area[J]. Acta Scientiae Circumstantiae, 2016,36(10):3527-3534.
[51]
赵晴,杜祯宇,胡骏,等.廊坊市大气污染特征与污染物排放源研究[J]. 环境科学学报, 2017,37(2):436-445. Zhao Q, Du Z Y, Hu J, et al. Air pollution characteristics and emission sources in Langfang City[J]. Acta Scientiae Circumstantiae, 2017,37(2):436-445.
[52]
河北省生态环境厅.环境质量发布[EB/OL]. http://hbepd.hebei.gov. cn/hjzw/hjjcyyj/hjzlzkyb/2019-01-29. Hebei Provincial Department of Ecological Environment. Environmental quality release[EB/OL]. http://hbepd.hebei.gov.cn/hjzw/hjjcyyj/hjzlzkyb/2019-01-29.
[53]
康晓风,王光,张明华,等.京津冀地区经济发展与PM10浓度变化的灰色关联分析[J]. 中国环境监测, 2015,31(5):1-6. Kang X F, Wang G, Zhang M H, et al. The grey relational analysis about economic development and change of PM10's concentration in Beijing-Tianjin-Hebei region[J]. Environmental Monitoring in China, 2015,31(5):1-6.
[54]
吴文景,常兴,邢佳,等.京津冀地区主要排放源减排对PM2.5污染改善贡献评估[J]. 环境科学, 2017,38(3):867-875. Assessment of PM2.5 pollution mitigation due to emission reduction from main emission sources in the Bejing-Tianjin-Hebei Region[J]. Environmental Science, 2017,38(3):867-875.
[55]
王彦超,蒋春来,贺晋瑜,等.京津冀及周边地区水泥工业大气污染控制分析[J]. 中国环境科学, 2018,38(10):3683-3688. Wang Y C, Jiang C L, He J Y, et al. Analysis of air pollutants control in cement industry in and around Beijing-Tianjin-Hebei region.[J]. China Environmental Science, 2018,38(10):3683-3688.
