Development of a high-speed ultraviolet spectrometer for remote sensing of mobile source nitric oxide emissions

被引:55
|
作者
Popp, PJ [1 ]
Bishop, GA [1 ]
Stedman, DH [1 ]
机构
[1] Univ Denver, Dept Biochem & Chem, Denver, CO 80208 USA
来源
关键词
D O I
10.1080/10473289.1999.10463978
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The University of Denver (DU) has developed a new remote sensor for the measurement of mobile source nitric oxide (NO). This system is integrated with an existing infrared remote sensor and is capable of measuring carbon monoxide and hydrocarbons in addition to NO, at a rate of more than 1000 vehicles/hr. The detection limit on a low-emitting vehicle under typical measurement conditions is 24 parts per million NO (3 sigma). Measurements from this instrument correlated well in a side-by-side comparison with the previous NO remote sensor developed at DU, and we have used this study to confirm a suspected interference by aromatic hydrocarbons in the older instrument. The results of an extended field experiment using the new instrument, conducted in fall 1997, are also presented. The NO emissions of the fleet measured in this study (averaging 15.0 g NO/gal) exhibit a skewed distribution typical of mobile sources. This paper also describes the relationship between NO emissions and model year and NO emissions and vehicle acceleration, as measured by the new remote sensor.
引用
收藏
页码:1463 / 1468
页数:6
相关论文
共 50 条
  • [21] High-speed rail new towns and their impacts on urban sustainable development: a spatial analysis based on satellite remote sensing data
    Zou, Shaohui
    Fan, Xiangbo
    Wang, Lei
    Cui, Yuanzheng
    [J]. HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2024, 11 (01):
  • [22] A CPU/GPU Collaborative Approach to High-Speed Remote Sensing Image Rectification Based On RFM
    Sun, Yiwei
    Liu, Bin
    Sun, Xiliang
    Wan, Wenhui
    Di, Kaichang
    Liu, Zhaoqin
    [J]. REMOTE SENSING OF THE ENVIRONMENT: 18TH NATIONAL SYMPOSIUM ON REMOTE SENSING OF CHINA, 2014, 9158
  • [23] Monitoring Abandoned Dreg Fields of High-speed Railway Construction with UAV Remote Sensing Technology
    Lin, Jiayuan
    Wang, Zhiliang
    Wang, Yangchun
    Lin, Yi
    Du, Xiaolin
    [J]. INTERNATIONAL CONFERENCE ON INTELLIGENT EARTH OBSERVING AND APPLICATIONS 2015, 2015, 9808
  • [24] Identification of bad pixels in shortwave infrared high-speed hyperspectral imager for spaceborne remote sensing
    Liu Y.
    Du J.
    An Q.
    Yang F.
    Zhang X.
    Li H.
    [J]. Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2023, 52 (02):
  • [25] Large-Area Remote Sensing in High-Altitude High-Speed Platform Using MIMO SAR
    Wang, Wen-Qin
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2013, 6 (05) : 2146 - 2158
  • [26] Development patterns, material metabolism, and greenhouse gas emissions of high-speed railway in China
    Mao, Ruichang
    Wu, Yankun
    Chen, Jian
    Chen, Peng
    Li, Xiaodong
    [J]. COMMUNICATIONS EARTH & ENVIRONMENT, 2023, 4 (01):
  • [27] Development patterns, material metabolism, and greenhouse gas emissions of high-speed railway in China
    Ruichang Mao
    Yankun Wu
    Jian Chen
    Peng Chen
    Xiaodong Li
    [J]. Communications Earth & Environment, 4
  • [28] Development of a high-speed camera system for neutron imaging at a pulsed neutron source
    Segawa, M.
    Kai, T.
    Sakai, T.
    Ooi, M.
    Kureta, M.
    [J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2013, 697 : 77 - 83
  • [29] Tackling nitric oxide emissions from dominant diesel vehicle models using on-road remote sensing technology
    Huang, Yuhan
    Yam, Yat Shing
    Lee, Casey K. C.
    Organ, Bruce
    Zhou, John L.
    Surawski, Nic C.
    Chan, Edward F. C.
    Hong, Guang
    [J]. ENVIRONMENTAL POLLUTION, 2018, 243 : 1177 - 1185
  • [30] Development of a remote-control system for catheterization capable of high-speed force feedback
    Takagi, Rei
    Osada, Keita
    Hanafusa, Akihiko
    Takagi, Motoki
    Mohamaddan, Shahrol Bin
    Mitsui, Kazuyuki
    Anzai, Hidenobu
    [J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2023, 18 (04) : 763 - 773