Real time measurement of transient event emissions of air toxics by tomographic remote sensing in tandem with mobile monitoring

被引:10
|
作者
Olaguer, Eduardo P. [1 ]
Stutz, Jochen [2 ]
Erickson, Matthew H. [3 ]
Hurlock, Stephen C. [2 ]
Cheung, Ross [2 ]
Tsai, Catalina [2 ]
Colosimo, Santo F. [2 ]
Festa, James [2 ]
Wijesinghe, Asanga [1 ]
Neish, Bradley S. [1 ]
机构
[1] Houston Adv Res Ctr, 4800 Res Forest Dr, The Woodlands, TX 77386 USA
[2] Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA
[3] Univ Houston, Houston, TX 77004 USA
关键词
Remote sensing; Computer aided tomography; Air quality; Hazardous air pollutants; Modeling; Real time monitoring; MODEL; RECONSTRUCTION; ATTRIBUTION;
D O I
10.1016/j.atmosenv.2016.11.058
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
During the Benzene and other Toxics Exposure (BEE-TEX) study, a remote sensing network based on long path Differential Optical Absorption Spectroscopy (DOAS) was set up in the Manchester neighborhood beside the Ship Channel of Houston, Texas in order to perform Computer Aided Tomography (CAT) scans of hazardous air pollutants. On 18-19 February 2015, the CAT scan network detected large nocturnal plumes of toluene and xylenes most likely associated with railcar loading and unloading operations at Ship Channel petrochemical facilities. The presence of such plumes during railcar operations was confirmed by a mobile laboratory equipped with a Proton Transfer Reaction Mass Spectrometer (PTR-MS), which measured transient peaks of toluene and C-2-benzenes of 50 ppb and 57 ppb respectively around 4 a.m. LST on 19 February 2015. Plume reconstruction and source attribution were performed using the 4D variational data assimilation technique and a 3D micro-scale forward and adjoint air quality model based on both tomographic and PTR-MS data. Inverse model estimates of fugitive emissions associated with railcar transfer emissions ranged from 2.0 to 8.2 kg/hr for toluene and from 2.2 to 3.5 kg/hr for xylenes in the early morning of 19 February 2015. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:220 / 228
页数:9
相关论文
共 50 条
  • [21] A Mobile Sensing and Imaging System for Real-Time Monitoring of Spine Health
    Farra, Noura
    El-Bayed, Bilal
    Moacdieh, Nadine
    Hajj, Hazem
    Hajj, Ziad
    Haidar, Rachid
    [J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2011, 1 (03) : 238 - 245
  • [22] Designing Integrated Sensing Systems for Real-Time Air Quality Monitoring
    Kim, Jung-Yoon
    Chu, Chao-Hsien
    Shin, Sang-Moon
    [J]. 2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA), 2014,
  • [23] A Cost-effective Mobile Sensing System intended for Continuous Monitoring of Vehicular Emissions for Air Quality Monitoring Applications
    Bora, Pronadeep
    Choudhury, Monish Kumar
    Valan, J. Arul
    Dhar, Jay Chandra
    [J]. 2018 5TH IEEE UTTAR PRADESH SECTION INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING (UPCON), 2018, : 528 - 533
  • [24] STARS: Static Relays for Remote Sensing in Multirobot Real-Time Search and Monitoring
    Pei, Yuanteng
    Mutka, Matt W.
    [J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2013, 24 (10) : 2079 - 2089
  • [25] Real Time Measurement and Visualization of ECG on Mobile Monitoring Stations of Biotelemetric System
    Krejcar, Ondrej
    Janckulik, Dalibor
    Motalova, Leona
    Musil, Karel
    Penhaker, Marek
    [J]. ADVANCES IN INTELLIGENT INFORMATION AND DATABASE SYSTEMS, 2010, 283 : 67 - 78
  • [26] EDGE ANALYTICS AND COMPLEX EVENT PROCESSING FOR REAL TIME AIR POLLUTION MONITORING AND CONTROL
    Kulshrestha, Utkarsh
    Durbha, Surva
    [J]. IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 893 - 896
  • [27] Real-Time Remote Monitoring of an Air Compressor Using MTConnect Standard Protocol
    Verma, Nishchal K.
    Dev, Raghav
    Dhar, Narendra K.
    Singh, Dhan Jeet
    Salour, Al
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (ICPHM), 2017, : 109 - 116
  • [28] Real-time monitoring of South American smoke particle emissions and transport using a coupled remote sensing/box-model approach
    Reid, JS
    Prins, EM
    Westphal, DL
    Schmidt, CC
    Richardson, KA
    Christopher, SA
    Eck, TF
    Reid, EA
    Curtis, CA
    Hoffman, JP
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2004, 31 (06)
  • [29] Personal pollution monitoring: mobile real-time air quality in daily life
    Elizabeth Bales
    Nima Nikzad
    Nichole Quick
    Celal Ziftci
    Kevin Patrick
    William G. Griswold
    [J]. Personal and Ubiquitous Computing, 2019, 23 : 309 - 328
  • [30] Personal pollution monitoring: mobile real-time air quality in daily life
    Bales, Elizabeth
    Nikzad, Nima
    Quick, Nichole
    Ziftci, Celal
    Patrick, Kevin
    Griswold, William G.
    [J]. PERSONAL AND UBIQUITOUS COMPUTING, 2019, 23 (02) : 309 - 328