Landscape determinants of spatio-temporal patterns of aerosol optical depth in the two most polluted metropolitans in the United States

被引:32
|
作者
Wang, Chenghao [1 ]
Wang, Chuyuan [2 ]
Myint, Soe W. [2 ]
Wang, Zhi-Hua [1 ]
机构
[1] Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ 85287 USA
[2] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85287 USA
基金
美国国家航空航天局; 美国国家科学基金会;
关键词
Aerosol optical depth; Urban environment; Topography; Land use; Vegetation; AOD-PM association; LAND-COVER DATABASE; MODIS; 3; KM; AIR-QUALITY; PM2.5; CONCENTRATIONS; URBAN PM10; LEVEL; IMPACT; CALIFORNIA; RETRIEVALS; TRANSPORT;
D O I
10.1016/j.scitotenv.2017.07.273
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Elevated concentration of atmospheric aerosols during severe urban air pollution episodes necessitates a deep understanding of the underlying determinants for a sustainable urban environment. The 15-year (2001-2015) Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) data for the Phoenix and Los Angeles Metropolitan Areas were applied to examine the spatio-temporal patterns and dynamics of urban aerosols. The strongly correlated temporal trends of AOD were observed due to the similar seasonal pattern of aerosol emissions and potential synoptic connections between two areas. Relatively higher mean value and lower decreasing trend of AOD were found in the PMA. Correlations reveal that topography is the predominant factor affecting the spatial pattern of AOD, as compared to the urban land use and vegetation. The effect of urbanization on air pollution varies with preexisting landscape, which apparently alleviates aerosol concentration in the PMA. Vegetation mitigates air pollution despite its emission of fine mode aerosols. As a cross-validation, the ground-measured concentrations of particulate matters (PM2.5 and PM10) were compared against AOD. The abnormal weak positive or strong negative AOD-PM2.5 associations result from the relatively small portion of anthropogenic aerosols and the changing atmospheric boundary layer height. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:1556 / 1565
页数:10
相关论文
共 50 条
  • [31] Spatio-temporal distribution of aerosol optical depth and cloud properties over Lake Tana Basin, Upper Blue Nile River Basin, Ethiopia
    Getachew, Birhan
    Manjunatha, B. R.
    Bhat, H. Gangadhara
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2020, 20
  • [32] Spatio-Temporal Variability of Aerosol Optical Depth, Total Ozone and NO2Over East Asia: Strategy for the Validation to the GEMS Scientific Products
    Park, Sang Seo
    Kim, Sang-Woo
    Song, Chang-Keun
    Park, Jong-Uk
    Bae, Kang-Ho
    REMOTE SENSING, 2020, 12 (14)
  • [33] Response of crop yield to different time-scales of drought in the United States: Spatio-temporal patterns and climatic and environmental drivers
    Pena-Gallardo, Marina
    Vicente-Serrano, Sergio M.
    Quiring, Steven
    Svoboda, Marc
    Hannaford, Jamie
    Tomas-Burguera, Miguel
    Martin-Hernandez, Natalia
    Dominguez-Castro, Fernando
    El Kenawy, Ahmed
    AGRICULTURAL AND FOREST METEOROLOGY, 2019, 264 : 40 - 55
  • [34] Spatio-temporal patterns in county-level incidence and reporting of Lyme disease in the northeastern United States, 1990-2000
    Waller, Lance A.
    Goodwin, Brett J.
    Wilson, Mark L.
    Ostfeld, Richard S.
    Marshall, Stacie L.
    Hayes, Edward B.
    ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 2007, 14 (01) : 83 - 100
  • [35] Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States
    Liu, Chunhui
    Su, Xiaodi
    Dong, Zhaoxuan
    Liu, Xingyu
    Qiu, Chunxia
    GEOSPATIAL HEALTH, 2023, 18 (01)
  • [36] Assessment of spatio-temporal trends of satellite-based aerosol optical depth using Mann-Kendall test and Sen's slope estimator model
    Mohammad, Lal
    Mondal, Ismail
    Bandyopadhyay, Jatisankar
    Pham, Quoc Bao
    Nguyen, Xuan Cuong
    Dinh, Cham Dao
    Al-Quraishi, Ayad M. Fadhil
    GEOMATICS NATURAL HAZARDS & RISK, 2022, 13 (01) : 1270 - 1298
  • [37] Spatio-temporal synoptic variability of aerosol optical depth and cloud properties over the Central North region of India through MODIS collection V satellite sensors
    A. Kumar
    Indian Journal of Physics, 2016, 90 : 613 - 625
  • [38] Spatio-temporal synoptic variability of aerosol optical depth and cloud properties over the Central North region of India through MODIS collection V satellite sensors
    Kumar, A.
    INDIAN JOURNAL OF PHYSICS, 2016, 90 (06) : 613 - 625
  • [39] A Geostatistics-Based Tool to Characterize Spatio-Temporal Patterns of Remotely Sensed Land Surface Temperature Fields Over the Contiguous United States
    Torres-Rojas, L.
    Waterman, T.
    Cai, J.
    Zorzetto, E.
    Wainwright, H. M.
    Chaney, N. W.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2024, 129 (18)
  • [40] Spatio-temporal variations in the estimation of PM10 from MODIS-derived aerosol optical depth for the urban areas in the Central Indo-Gangetic Plain
    Shikha Chitranshi
    Satya Prakash Sharma
    Sagnik Dey
    Meteorology and Atmospheric Physics, 2015, 127 : 107 - 121