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基于工业热源区域识别的邯郸市热异常产品分析
引用本文:马彩虹,王大成,杨进,关琳琳,李天柱.基于工业热源区域识别的邯郸市热异常产品分析[J].遥感技术与应用,2022,37(1):34-44.
作者姓名:马彩虹  王大成  杨进  关琳琳  李天柱
作者单位:1.中国科学院空天信息创新研究院,北京 100094;2.中国科学院地理科学与资源研究所,北京 100094;3.中国科学院大学,北京 101499
基金项目:资源与环境信息系统国家重点实验室开放基金和中国科学院青年创新促进会资助
摘    要:利用目前空间分辨率、时间分辨率(1 d)最高的成熟热异常产品数据主动式热异常数据(ACF,NPP-VIIRS active fire/hotspot data),结合基于长时序热异常数据支持下的工业热源区域识别模型,叠加地表覆盖类型数据,实现邯郸市不同类型热异常数据的识别与分析。(1)清洗邯郸市2012.1.20~2020.12.31年89 249个热异常点数据,得到2012~2020年间在营的81个工业热源区域,主要分布在京广线(G4高速)以西的丘陵地区,密集分布于涉县、武安、峰峰矿区,与邯郸市矿产资源的分布具有较好的一致性;2020年在营的工业热源与2013年相比,关停32个(42.67%),热异常点数目明显减少的19个(25.33%),新增5个企业;从企业类别上看,识别出的工业热源企业主要为钢铁及铸造类、煤化工及焦化、水泥厂等企业,分别占比达53.24%、28.16%和0.08%。(2)邯郸市2012~2020年历年的热异常点主要来源于工业热源,其工业热异常点历年平均占比为91.61%,2016年工业热源区域内热异常点占比最高,占比超过94.34%;邯郸市耕地地表覆盖中,有42....

关 键 词:工业热源  主动式热异常数据  长时序  邯郸
收稿时间:2021-07-27

Assessing the Distribution of Active Fire data based on Large Industrial Heat Sources Detection in Handan
Caihong Ma,JinYang,Dacheng Wang,Linlin Guan,Tianzhu Li.Assessing the Distribution of Active Fire data based on Large Industrial Heat Sources Detection in Handan[J].Remote Sensing Technology and Application,2022,37(1):34-44.
Authors:Caihong Ma  JinYang  Dacheng Wang  Linlin Guan  Tianzhu Li
Abstract:In this study, different types of NPP VIIRS 375 m active fire product (ACF,NPP-VIIRS active fire/hotspot data) in Handan were analysed based on heavy industry heat sources detection model base on long-term data. (1) 81 heavy industry heat sources worked between 2012 and 2020 were detected based on 89 249 ACF data. They were mainly distributed in the hilly area (the west of Beijing Guangzhou line and G4 Expressway), especially in Shexian, Wu'An and Fengfeng mining areas. It was consistent with the distribution of mineral resources in Handan city. And, compared the num of working heavy industrial heat sources between 2020 and 2013, 32 (42.67%) industrial heat sources were shut down, 19 (25.33%) industrial heat sources which thermal abnormal points were significantly reduced, also 5 new enterprises appeared. And heavy industrial heat sources detected were maily belong to iron and steel and foundry, coal chemical and coking, cement plants, accounting for 53.24%, 28.16% and 0.08% respectively. (2) Betwwen 2012 and 2020, the average annual proportion of thermal anomaly points from industrial heat sources was 91.61%, especially more than 94.34% in 2016. There was 42.73% of ACF data on the cultivated land surface coverage belonging to industrial thermal anomaly points, 5.5% data on the artificial surface coverage belonging to non industrial thermal anomaly points. And, the most of industrial heat anomaly points in Handan were on the artificial land (accounting for 89.87%), while the most of non industrial heat anomaly points were on the cultivated land (accounting for75.93%).There was obvious "double peak" phenomenon (with a larger peak point in June / October) for the monthly statistical chart, which has disappeared since 2018.
Keywords:Heavy Industry Heat Source  Active Fire data  Long-term  Handan  
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