Assessment of the NO2 distribution and relationship with traffic load in the Caribbean coastal city

被引:18
作者
Agudelo-Castaneda, Dayana [1 ]
De Paoli, Fabricio [2 ]
Morgado-Gamero, Wendy B. [3 ]
Mendoza, Martha [1 ]
Parody, Alexander [4 ]
Maturana, Aymer Y. [1 ]
Teixeira, Elba C. [5 ]
机构
[1] Univ Norte, Dept Civil & Environm Engn, Km 5 Via Puerto Colombia, Barranquilla, Colombia
[2] MDPA Ingn & Oceanog, Cra 49C 100-103, Barranquilla, Colombia
[3] Univ Costa, Dept Exact & Nat Sci, Calle 58 55-66, Barranquilla, Colombia
[4] Univ Libre Barranquilla, Engn Fac, Cra 46 48-170, Barranquilla, Colombia
[5] Univ Fed Rio Grande do Sul, Postgrad Program Remote Sensing, Av Bento Goncalves 9500, BR-91501970 Porto Alegre, RS, Brazil
关键词
Spatial distribution of NO2; Diffusive sampling; Spatial variability; Regression model; Application of a neural network;
D O I
10.1016/j.scitotenv.2020.137675
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
NO2 ambient concentrations were measured in a coastal Caribbean city. Barranquilla is a Caribbean city located in the North of Colombia that has approximately 1.200.000 inhabitants and possesses a warm, humid climate. In order to obtain the concentration of the contaminant in an adequate resolution, 137 Passive diffusion tubes from Gradko (c) were installed. Tubes prepared with 20% Triethanolamine/De-ionised water were located at the roadside between 1 and 5 m from the kerb edge. The sampling period was two weeks, from 3/16/2019 to 3/30/2019. Samples were analyzed on the UV CARY1 spectrophotometer by Gradko (c). Results showed an average of 19.92 +/- 11.50 mu g/m(3), with a maximum and minimum value of 70.27 and 0.57 mu g/m(3), respectively. NO2 correlation with load traffic load was higher than with maximum traffic. The expected results include the analysis of the areas of the city with high concentrations of this pollutant that exceed the limit values established by the WHO in six (6) points; however, they never exceed the local legal limit for annual exposure, which is significantly less restrictive. Overall, the multiregression analysis is a very effective method to enrich the understanding of NO2 distributions. It can provide scientific evidence for the relationship between NO2 and traffic, beneficial for developing the targeted policies and measures to reduce NO2 pollution levels in hot spots. This research may subsidize knowledge to serve as a tool for environmental and health authorities. (C) 2020 Elsevier B.V. All rights reserved.
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页数:9
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