Aerial monitoring of atmospheric particulate matter produced by open-pit mining using low-cost airborne sensors

被引:4
|
作者
Zafra-Perez, Adrian [1 ]
Boente, Carlos [2 ]
Garcia-Diaz, Manuel [3 ]
Gomez-Galan, Juan Antonio [4 ]
de la Campa, Ana Sanchez [1 ,5 ]
de la Rosa, Jesus D. [1 ,5 ]
机构
[1] Univ Huelva Atmospher Pollut, Associate Unit CSIC, CIQSO Ctr Res Sustainable Chem, Campus El Carmen S-N, Huelva 21007, Spain
[2] Univ Politecn Madrid, Dept Ingn Geol & Minera, ETSI Minas Energia Madrid, C Rios Rosas 21, Madrid 28003, Spain
[3] Univ Oviedo, Dept Fluid Mech, C Wifredo Ricart, Gijon 33204, Spain
[4] Univ Huelva, Dept Elect Engn Comp & Automat, Huelva 21007, Spain
[5] Univ Huelva, Fac Expt Sci, Dept Earth Sci, Huelva 21007, Spain
关键词
Low-cost sensors; PM10; Monitoring; UAV; Mining; VERTICAL-DISTRIBUTION; AIR-POLLUTION; CHINA;
D O I
10.1016/j.scitotenv.2023.166743
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Mining is an economic activity that entails the production and displacement of significant amounts of atmospheric particulate matter (PM) during operations involving intense earthcrushing or earthmoving. As high concentrations of PM may have adverse effects on human health, it is necessary to monitor and control the fugitive emissions of this pollutant. This paper presents an innovative methodology for the online monitoring of PM10 concentrations in air using a low-cost sensor (LCS, 300 USD) onboard an unmanned aerial vehicle. After comprehensive calibration, the LCS was horizontally flown over seven different areas of the large Riotinto copper mine (Huelva, Spain) at different heights to study the PM10 distribution at different longitudes and altitudes. The flights covered areas of zero activity, intense mining, drilling, ore loading, waste discharge, open stockpiling, and mineral processing. In the zero-activity area, the resuspension of PM10 was very low, with a weak wind speed (3.6 m/s). In the intense-mining area, unhealthy concentrations of PM10 ( 51 mu gPM10/m3) could be released, and the PM10 can reach surrounding populations through long-distance transport driven by several processes being performed simultaneously. Strong dilution was also observed at high altitudes (> 50 m). Mean concentrations were found to be 22-89 mu gPM10/m3, with peaks ranging from 86 to 284 mu gPM10/m3. This study demonstrates the potential applicability of airborne LCSs in the high-resolution online monitoring of PM in mining,
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Improving Spatio-Temporal Understanding of Particulate Matter using Low-Cost IoT Sensors
    Reddy, C. Rajashekar
    Mukku, T.
    Dwivedi, A.
    Rout, A.
    Chaudhari, S.
    Vemuri, K.
    Rajan, K. S.
    Hussain, A. M.
    2020 IEEE 31ST ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (IEEE PIMRC), 2020,
  • [42] High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors
    Rajasegarar, Sutharshan
    Havens, Timothy C.
    Karunasekera, Shanika
    Leckie, Christopher
    Bezdek, James C.
    Jamriska, Milan
    Gunatilaka, Ajith
    Skvortsov, Alex
    Palaniswami, Marimuthu
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (07): : 3823 - 3832
  • [43] Research on outdoor environmental performance evaluation of low-cost atmospheric particulate sensors
    Guo, Ying-Zhe
    Gao, Jian
    Wang, Wen-Xing
    Qin, Xiao-Liang
    Ren, Jian-Ning
    Ni, Deng-Feng
    Zhongguo Huanjing Kexue/China Environmental Science, 2020, 40 (12): : 5133 - 5141
  • [44] Low-cost sensors for measuring airborne particulate matter: Field evaluation and calibration at a South-Eastern European site
    Kosmopoulos, G.
    Salamalikis, V.
    Pandis, S. N.
    Yannopoulos, P.
    Bloutsos, A. A.
    Kazantzidis, A.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 748
  • [45] Selection and Aggregation of Low-cost Particle Sensors for Outdoor Particulate Matter Measurement
    Li, Jie
    Xu, Zhengjia
    Nasar, Zaheer
    Ferracci, Valerio
    Harris, Neil
    2024 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, I2MTC 2024, 2024,
  • [46] A Low-Cost Sensors Study Measuring Exposure to Particulate Matter in Mobility Situations
    Aix, Marie-Laure
    Claitte, Melaine
    Bicout, Dominique J.
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON SENSOR NETWORKS, SENSORNETS 2023, 2023, : 32 - 41
  • [47] Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors
    Jorstad, Per-Martin
    Wojcikowski, Marek
    Tuan-Vu Cao
    Lepioufle, Jean-Marie
    Wojtkiewicz, Krystian
    Phuong Hoai Ha
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2023, PT I, 2023, 13995 : 248 - 260
  • [48] Regression methods in the calibration of low-cost sensors for ambient particulate matter measurements
    Marek Badura
    Piotr Batog
    Anetta Drzeniecka-Osiadacz
    Piotr Modzel
    SN Applied Sciences, 2019, 1
  • [49] Field Evaluation of Low-Cost Particulate Matter Sensors for Measuring Wildfire Smoke
    Holder, Amara L.
    Mebust, Anna K.
    Maghran, Lauren A.
    McGown, Michael R.
    Stewart, Kathleen E.
    Vallano, Dena M.
    Elleman, Robert A.
    Baker, Kirk R.
    SENSORS, 2020, 20 (17) : 1 - 17
  • [50] Regression methods in the calibration of low-cost sensors for ambient particulate matter measurements
    Badura, Marek
    Batog, Piotr
    Drzeniecka-Osiadacz, Anetta
    Modzel, Piotr
    SN APPLIED SCIENCES, 2019, 1 (06):