SPATIAL DISTRIBUTION OF PM2.5 CONCENTRATION BASED ON AEROSOL OPTICAL THICKNESS INVERTED BY LANDSAT ETM plus DATA OVER CHENGDU

被引:0
|
作者
Han, Weihong [1 ]
Tong, Ling [1 ]
Bai, Jinping [2 ]
Chen, Yunping [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Sichuan Prov, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Aeronaut & Astronaut, Chengdu 611731, Sichuan Prov, Peoples R China
关键词
Landsat ETM; AOT; PM2.5; air quality; pollution source; MODIS;
D O I
10.1109/IGARSS.2013.6723265
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a new method of spatial distribution of PM2.5 concentration, which is based on Aerosol Optical Thickness (AOT) inverted by Landsat7 ETM+ Enhanced Thematic Mapper Plus (ETM+) data and PM2.5 ground-based instruments. The main steps of the method are as follows:(1) Determination of dark pixels, search for the dark surface targets with the 2.2- mu m channel; (2) Determination of the surface reflectance in the blue and red channels;(3) AOT retrieval, inverted from Look-up Tables (LUT) established from a set of atmospheric geometrical conditions;(4) Establish the model of PM2.5 predicting with predictors and estimate the PM2.5 value. The study results show that the method is an effective means for predicting the PM2.5 concentration, and a beneficial supplement to the conventional ground-based measurement.
引用
收藏
页码:2250 / 2253
页数:4
相关论文
共 50 条
  • [1] Spatial distribution of source areas of PM2.5 by Concentration Weighted Trajectory (CWT) model applied in PM2.5 concentration and composition data
    Dimitriou, Konstantinos
    Remoundaki, Emmanouella
    Mantas, Evangelos
    Kassomenos, Pavlos
    [J]. ATMOSPHERIC ENVIRONMENT, 2015, 116 : 138 - 145
  • [2] Estimating ground-level PM2.5 concentration using Landsat 8 in Chengdu, China
    Chen, Yunping
    Han, Weihong
    Chen, Shuzhong
    Tong, Ling
    [J]. REMOTE SENSING OF THE ATMOSPHERE, CLOUDS, AND PRECIPITATION V, 2014, 9259
  • [3] Modeling of air quality prediction for PM2.5 concentration in Chengdu area based on measured data
    Yu, ChengLin
    Zhu, Ming
    Zhang, HongYuan
    Liu, Ke
    Liu, YongQiang
    Zhou, He
    Yang, Qiang
    [J]. 2022 ASIA CONFERENCE ON ALGORITHMS, COMPUTING AND MACHINE LEARNING (CACML 2022), 2022, : 540 - 545
  • [4] Influence of the spatial distribution pattern of buildings on the distribution of PM2.5 concentration
    Zhang, Zhixuan
    Shan, Baoyan
    Lin, Qikai
    Chen, Yanqiu
    Yu, Xinwei
    [J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2022, 36 (04) : 985 - 997
  • [5] INTEGRATED AEROSOL OPTICAL THICKNESS, GASEOUS POLLUTANTS AND METEOROLOGICAL PARAMETERS TO ESTIMATE GROUND PM2.5 CONCENTRATION
    Luo, Nana
    Zhao, Wenji
    Yan, Xing
    [J]. FRESENIUS ENVIRONMENTAL BULLETIN, 2014, 23 (10A): : 2567 - 2577
  • [6] Influence of the spatial distribution pattern of buildings on the distribution of PM2.5 concentration
    Zhixuan Zhang
    Baoyan Shan
    Qikai Lin
    Yanqiu Chen
    Xinwei Yu
    [J]. Stochastic Environmental Research and Risk Assessment, 2022, 36 : 985 - 997
  • [7] Satellite-based PM2.5 estimation using fine-mode aerosol optical thickness over China
    Yan, Xing
    Shi, Wenzhong
    Li, Zhanqing
    Li, Zhengqiang
    Luo, Nana
    Zhao, Wenji
    Wang, Haofei
    Yu, Xue
    [J]. ATMOSPHERIC ENVIRONMENT, 2017, 170 : 290 - 302
  • [8] ESTIMATING THE SPATIAL DISTRIBUTION OF PM2.5 CONCENTRATION BY INTEGRATING GEOGRAPHIC DATA AND FIELD MEASUREMENTS
    Zhai, Liang
    Sang, Huiyong
    Zhang, Jixian
    An, Fang
    [J]. IWIDF 2015, 2015, 47 (W4): : 209 - 213
  • [9] Predicting Ground Level PM2.5 Concentration Over Delhi Using Landsat 8 Satellite Data
    Mishra, Rajeev Kumar
    Agarwal, Aviral
    Shukla, Ankita
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 42 (03) : 827 - 838
  • [10] Spatial and Seasonal Distribution Study and Correlation Analysis of Aerosol and PM2.5 in Beijing City Based on MODIS Data
    Wei, Ye
    Wei, Song
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON MATERIAL, ENERGY AND ENVIRONMENT ENGINEERING (ISM3E 2015), 2016, 46 : 395 - 401