CFD model to study PM10 dispersion in large-scale open spaces

被引:0
|
作者
Fernandez-Pacheco, V. M. [1 ]
Alvarez-Alvarez, E. [1 ]
Blanco-Marigorta, E. [1 ]
Ackermann, T. [2 ]
机构
[1] Univ Oviedo, Dept Energy, Wifredo Ricart S-N, Gijon 33204, Asturias, Spain
[2] Univ Appl Sci, Fachhockschule Bielefeld, Artilleriestr 9, D-32427 Minden, Detmold, Germany
来源
SCIENTIFIC REPORTS | 2023年 / 13卷 / 01期
关键词
POLLUTANT REMOVAL CAPACITY; URBAN STREET CANYON; IMPACT;
D O I
10.1038/s41598-023-33144-9
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Air pollution has become a major concern in industrial or highly populated areas. Although legislation has been enacted to limit pollution levels, air quality monitoring still needs to be carried out by stations which are located at fixed points unable to provide the spatial evolution of pollutants. This research, focused on the city of Gijon (Asturias), includes a Computational Fluid Dynamics model capable of simulating the dispersion of pollutants in a large urban environment (12x18 km(2)). Different wind conditions were simulated with two sources of emission. The results show the influence of the terrain on the dispersion of pollutants in open spaces whilst simultaneously scrutinizing the origin of diffuse industrial pollution circulating over the city of Gijon. The simulation allows us to set limits in the areas with higher levels of contamination or to analyse the variations of particle concentration in height. Therefore, this research defines and validates a methodology to generate numerical models which grant us the opportunity to observe the spatial evolution of pollutants in large areas. This result endorses further use in other lines of research, such as the evaluation of corrective measures to improve air quality in highly polluted environments.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Changes in PM10 concentration due to large-scale rainfall
    Olszowski, Tomasz
    ARABIAN JOURNAL OF GEOSCIENCES, 2016, 9 (02) : 1 - 11
  • [2] Changes in PM10 concentration due to large-scale rainfall
    Tomasz Olszowski
    Arabian Journal of Geosciences, 2016, 9
  • [3] STUDY OF THE DISPERSION OF PM10 IN CANADA
    Abdu-Wahab, Sabah A.
    Ahmadi, Lena
    Elkamel, Ali
    Chan, Keziah
    Yazdanpanah, Pedram
    Yetilmezsoy, Kaan
    FRESENIUS ENVIRONMENTAL BULLETIN, 2015, 24 (10A): : 3320 - 3328
  • [4] Study on sandstorm PM10 exposure assessment in the large-scale region: a case study in Inner Mongolia
    Wang, Hongmei
    Lv, Shihai
    Diao, Zhaoyan
    Wang, Baolu
    Zhang, Han
    Yu, Caihong
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (17) : 17144 - 17155
  • [5] Study on sandstorm PM10 exposure assessment in the large-scale region: a case study in Inner Mongolia
    Hongmei Wang
    Shihai Lv
    Zhaoyan Diao
    Baolu Wang
    Han Zhang
    Caihong Yu
    Environmental Science and Pollution Research, 2018, 25 : 17144 - 17155
  • [6] Numerical modelling of PM10 dispersion in open-pit mines
    Sumanth, Chinthala
    Khare, Mukesh
    Shukla, Komal
    CHEMOSPHERE, 2020, 259 (259)
  • [7] CFD model to study PM10\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_{\textrm{10}}$$\end{document} dispersion in large-scale open spaces
    V. M. Fernández-Pacheco
    E. Álvarez-Álvarez
    E. Blanco-Marigorta
    T. Ackermann
    Scientific Reports, 13 (1)
  • [8] The Contribution of Large-scale Atmospheric Patterns to PM10 Pollution: The New Saharan Oscillation Index
    Khomsi, Kenza
    Najmi, Houda
    Chelhaoui, Youssef
    Souhaili, Zineb
    AEROSOL AND AIR QUALITY RESEARCH, 2020, 20 (05) : 1038 - 1047
  • [9] ATMOSPHERIC DISPERSION PREDICTING MODEL OF PM10 IN A GYPSUM PLANT
    Makaremi, Marzieh
    Mansouri, Nabiollah
    Vafaeinajad, Alireza
    Behzadi, Mohammad Hasan
    Mirzahossieni, Seyed Alireza
    ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2021, 20 (01): : 151 - 157
  • [10] Combined model for PM10 forecasting in a large city
    Perez, Patricio
    ATMOSPHERIC ENVIRONMENT, 2012, 60 : 271 - 276