scholarly journals The Transfer Phenomena of Air Pollutants Emitted from Power Station and Generators in Nasiriyah City and the Effect of Meteorological Parameters on its Dispersion by Using Fixed Box Model

2022 ◽  
Vol 961 (1) ◽  
pp. 012001
Author(s):  
Ahmed Alaa Hussein ◽  
Zahraa S. Mahdi ◽  
Nagam Obaid Kariem
Keyword(s):  
Wind Speed ◽  
Air Pollutants ◽  
Meteorological Parameters ◽  
Emission Rate ◽  
Electrical Energy ◽  
Fuel Oil ◽  
Box Model ◽  
Upstream Direction ◽  
Light Oil ◽  
The City

Abstract The study aims to use the fixed box model to calculate the spread of pollutants (CO2, SO2, NOX, particulate) resulting from the burning of fuel used to produce electrical energy in the Nasiriyah city and to know the way they spread in the city through being affected by the wind speed and compare the results calculated from the model with the results measured by the lancom4 device. The results showed that the main pollutants for the air in Nasiriyah was emitted from burning the fuel used for the production of electric power, and the results showed that the concentration of pollutants (CO2, SO2, NOX) was much higher inside the city when compared with the upstream direction of the winds due to its increase with the movement of winds and its entry into the city. Through the application of the fixed box model and when comparing the calculated results through the model with the results measured by the lancom4 device, the error rate was (4 %, 2%, 2%, 5%) for pollutants (CO2, SO2, NOX, particulate) respectively, it was also observed that the highest emission rate of pollutants was result from using heavy fuel (fuel oil) and the lowest emission was from light oil (Dry gas). We noted the spread of pollutants and dilution in the atmosphere increases with the increase in wind speed, excluding for particles mater.

scholarly journals Seasonal and Temporal Variations of Criteria Air Pollutants and the Influence of Meteorological Parameters on the Concentration of Pollutants in Ambient Air in Lahore, Pakistan

2016 ◽  
Vol 59 (1) ◽  
pp. 34-42
Author(s):  
Amtul Bari Tabinda ◽  
Saleha Munir ◽  
Abdullah Yasar ◽  
Asad Ilyas
Keyword(s):  
Wind Speed ◽  
Solar Radiation ◽  
Negative Correlation ◽  
Air Pollutants ◽  
Meteorological Parameters ◽  
Ambient Air ◽  
Temporal Variations ◽  
Criteria Air Pollutants ◽  
Summer Minimum ◽  
One Year

Criteria air pollutants have their significance for causing health threats and damage to theenvironment. The study was conducted to assess the seasonal and temporal variations of criteria air pollutantsand evaluating the correlations of criteria air pollutants with meteorological parameters in the city ofLahore, Pakistan for a period of one year from April 2010 to March 2011. The concentrations of criteriaair pollutants were determined at fixed monitoring stations equipped with HORIBA analyzers. The annualaverage concentrations (µg/m3) of PM2.5, O3, SO2, CO and NOx (NO+NO2) for this study period were118.94±57.46, 46.0±24.2, 39.9±8.9, 1940±1300 and 130.9±81.0 (61.8±46.2+57.3±22.19), respectively.PM2.5, SO2, CO and NOx had maximum concentrations during winter whereas O3 had maximum concentrationduring summer. Minimum concentrations of PM2.5, SO2 and NOx were found during monsoon as comparedto other seasons due to rainfall which scavenged these pollutants. The O3 showed positive correlation withtemperature and solar radiation but negative correlation with wind speed. All other criteria air pollutantsshowed negative correlation with wind speed, temperature and solar radiation. A significant (P<0.01)correlation was found between NOx and CO (r = 0.779) which showed that NOx and CO arise from commonsource that could be the vehicular emission. PM2.5 was significantly correlated (P<0.01) with NOx (r = 0.524)and CO (r = 0.519), respectively. High traffic intensity and traffic jams were responsible for increased airpollutants level especially the PM2.5, NOx and CO.

Environmental Assessment of the Impact of Meteorological Parameters on Man-Made Pollution by Carcinogenicly Dangerous Chemicals in the Voronezh Air Basin

2021 ◽  
Vol 25 (2) ◽  
pp. 60-65
Author(s):  
S.A. Kurolap ◽  
V.S. Petrosyan ◽  
O.V. Klepikov ◽  
V.V. Kulnev ◽  
D.Yu. Martynov
Keyword(s):  
Wind Speed ◽  
Air Temperature ◽  
Meteorological Parameters ◽  
Carcinogenic Risk ◽  
Meteorological Conditions ◽  
Air Humidity ◽  
Maximum Permissible Level ◽  
Relative Air Humidity ◽  
The Impact ◽  
The City

Based on the analysis of official statistics from the Voronezh Hydrometeorological Service, the patterns of the dynamics of pollutants (formaldehyde and soot) are investigated depending on the combination of various meteorological parameters — air temperature, wind speed, relative air humidity. A positive relationship has been established between the increase in atmospheric pollution with formaldehyde and air temperature. With increasing wind speed and relative humidity, the concentration of formaldehyde and soot in the atmosphere of the city, as a rule, decrease. The maximum permissible level of carcinogenic risk to public health has been established, causing concern. The obtained patterns can be used to predict the level of technogenic pollution of the city’s atmosphere, depending on meteorological conditions.

scholarly journals Impact of environmental indicators on the COVID-19 pandemic in Delhi, India

2020 ◽  
Author(s):  
Sherry Mangla ◽  
Ashok Kumar Pathak ◽  
Prafulla Kumar Sahoo
Keyword(s):  
Wind Speed ◽  
Air Pollutants ◽  
Meteorological Parameters ◽  
Correlation Method ◽  
Secondary Data ◽  
Quality Parameters ◽  
Environmental Indicators ◽  
Study Results ◽  
The Impact ◽  
Spearman’S Correlation

Abstract Currently there is a huge debate on whether meteorological and air quality parameters are playing a crucial role in the transmission of COVID-19 across the globe. On this background, this study aims to evaluate the impact of air pollutants (PM2.5, PM10, CO, NOx, SO2, AQI), and meteorological parameters (temperature, humidity, wind speed, and rainfall) on the spread, recoveries and mortality due to COVID-19 outbreak in Delhi. Spearman’s correlation method is employed on a secondary data collected from the Ministry of Environment, India and the COVID-19 data collected using daily government health bulletins for Delhi. Our result shows that the COVID-19 incidences are significantly positively correlated with temperature (r infections= 0.90, r recoveries= 0.84, r deaths= 0.83, p<0.05) and negatively correlated with humidity (r infections = -0.63, r recoveries = -0.58, r deaths = -0.56, p<0.05). This finding indicates that temperature and humidity play a significant role on the infections, recoveries and deaths due to the COVID-19. The study results may be useful for policymakers in managing the outbreak of COVID-19 in Delhi, India.

scholarly journals Representativeness of monitoring station readings in the context of urban environment

2021 ◽  
Vol 2057 (1) ◽  
pp. 012132
Author(s):  
V D Meshkova ◽  
A A Dekterev ◽  
K Yu Litvintsev
Keyword(s):  
Wind Speed ◽  
Urban Environment ◽  
Meteorological Parameters ◽  
Numerical Study ◽  
Comprehensive Analysis ◽  
Monitoring Station ◽  
Complex Mechanism ◽  
The City ◽  
Different Parts ◽  
Monitoring Stations

Abstract In this paper, a comprehensive analysis of the interaction of the urban environment elements with the natural environment components is carried out. The assessment of the complex impact of meteorological parameters on the human body is analyzed based on data obtained from monitoring stations. The readings of monitoring stations concerning both wind speed and directions are found to significantly deviate in different parts of the city due to urban development. A numerical study of the neighborhood with the monitoring station also shows a very complex mechanism for determining the pollution intensity of the area and the relevance of the data obtained, especially concerning pollutants.

scholarly journals Influence of air pollution and meteorological parameters on COVID-19: An overview

2021 ◽  
Vol 12 (3) ◽  
pp. 580-586
Author(s):  
Anbu Clemensis Johnson
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Wind Speed ◽  
Literature Review ◽  
Air Pollutants ◽  
Meteorological Parameters ◽  
Virus Entry ◽  
Current Evidence ◽  
Defence Mechanism ◽  
Airborne Transport

The spread of Covid-19 has been rampant across the globe, and studies have indicated a connection between the spike in infection and air pollution. The literature review has shown that the link between the SARS-CoV-2 virus causing the disease and air pollutants is still inconclusive. Current evidence from the studies point out two main contributing mechanisms for the spread of the virus: (1) the weakening of the human natural defence mechanism by the air pollutants facilitates virus entry and replication; (2) particulate matter facilitates the airborne transport of vectors. Meteorological parameters also play a significant role in the transmission of the virus. Ultraviolet radiation was negatively correlated with the number of COVID-19 cases, while wind speed was positively correlated. Temperature and humidity increases were associated with a decrease in the number of infections. Some studies have also shown no relationship between humidity and COVID-19 case numbers. Similarly, rainfall predominantly showed no significant correlation. More studies in this area are suggested to further understand the air pollutants effect on the virus, its interaction and the influence of meteorological parameters.

scholarly journals Analyzing the Contribution of Human Mobility to Changes in Air Pollutants: Insights from the COVID-19 Lockdown in Wuhan

2021 ◽  
Vol 10 (12) ◽  
pp. 836
Author(s):  
Jiansheng Wu ◽  
Yun Qian ◽  
Yuan Wang ◽  
Na Wang
Keyword(s):  
Wind Speed ◽  
Random Forest ◽  
Scenario Analysis ◽  
Air Pollutants ◽  
Linear Models ◽  
Human Mobility ◽  
Meteorological Conditions ◽  
Sensitivity Experiments ◽  
Scenario Analyses ◽  
The City

During the COVID-19 lockdown in Wuhan, transportation, industrial production and other human activities declined significantly, as did the NO2 concentration. In order to assess the relative contributions of different factors to reductions in air pollutants, we implemented sensitivity experiments by Random Forest (RF) models, with the comparison of the contributions of meteorological conditions, human mobility, and emissions from industry and households between different periods. In addition, we conducted scenario analyses to suggest an appropriate limit for control of human mobility. Different mechanisms for air pollutants were shown in the pre-pandemic, pre-lockdown, lockdown, and post-pandemic periods. Wind speed and the Within-city Migration index, representing intra-city mobility intensity, were excluded from stepwise multiple linear models in the pre-lockdown and lockdown periods. The results of sensitivity experiments show that, in the COVID-19 lockdown period, 73.3% of the reduction can be attributed to decreased human mobility. In the post-pandemic period, meteorological conditions control about 42.2% of the decrease, and emissions from industry and households control 40.0%, while human mobility only contributes 17.8%. The results of the scenario analysis suggest that the priority of restriction should be given to human mobility within the city than other kinds of human mobility. The reduction in the NO2 concentration tends to be smaller when human mobility within the city decreases by more than 70%. A limit of less than 40% on the control of the human mobility can achieve a better effect, especially in cities with severe traffic pollution.

scholarly journals Kajian Kelayakan Potensi Energi Angin Untuk Dimanfaatkan Menjadi Energi Listrik Disekitaran Legok - Kota Jambi

2018 ◽  
Vol 1 (1) ◽  
pp. 7
Author(s):  
Leily W Johar
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
River Flow ◽  
Human Life ◽  
Electrical Energy ◽  
Primary Data ◽  
Survey Method ◽  
Average Wind Speed ◽  
Cross Sectional ◽  
The City

Electrical energy is one of the needs that can not be separated from human life in general. The demand for electrical energy over time is increasing, for which an unlimited source of renewable energy availability in nature needs to be developed to meet the needs of electrical energy. In the city of Jambi and its surroundings, the state of the territory is covered by a stream of batanghari river flow and extensive field conditions, free from the wind barriers both the trees and buildings for which this condition is required to undertake more in-depth research studies of wind power, using wind speed data at a certain height allows for the availability of electrical energy. In this study the location to determine the parameters of wind energy is in the city of Jambi with geographic position at coordinates 1.59,103,600-219, this study uses explorative survey method by conducting direct measurement in the field, this study aims to determine the potential of wind energy that can be converted into electrical energy, how decent wind speed conditions in the city of Jambi to be utilized into electrical energy. From the data obtained, the average wind speed in a year using primary data at 2 meters from the batanghari river edge is 2.45 m / s and the maximum effective power produced by the windmill assuming the 4 m2 cross-sectional area is 374.68 Watt which occurs in July, when applied to the Micro Wind Turbine Z - 400W [5] specification can generate electrical energy, but the resulting electrical energy capacity is very small.

scholarly journals Epidemic activity of respiratory syncytial virus is related to temperature and rainfall in equatorial tropical countries

2016 ◽  
Vol 144 (10) ◽  
pp. 2057-2063 ◽  
Author(s):  
N. GAMBA-SANCHEZ ◽  
C. E. RODRIGUEZ-MARTINEZ ◽  
M. P. SOSSA-BRICEÑO
Keyword(s):  
Respiratory Syncytial Virus ◽  
Wind Speed ◽  
Solar Radiation ◽  
Meteorological Parameters ◽  
Public Health Problem ◽  
Absolute Humidity ◽  
Major Public Health Problem ◽  
Hospitalized Children ◽  
Syncytial Virus ◽  
The City

SUMMARYAlthough viral acute lower respiratory infections (ALRIs) are a major public health problem in tropical low- and middle-income countries (LMICs), and there is growing evidence showing their relationship with meteorological parameters, studies performed in these countries are scarce. In an analytical cross-sectional study, we determined which of the main meteorological parameters (temperature, absolute humidity, rainfall, wind speed, and solar radiation) predicted respiratory syncytial virus (RSV) activity in a population of hospitalized children with ALRI during a 5-year period, from January 2009 to December 2013. Out of a total of 4559 children included in the study (mean age 9·2 ± 8·5 months), 2953 (64·8%) presented RSV infection during the 3-month period from March to May. In the multivariate analysis, after controlling for absolute humidity, wind speed, and solar radiation, temperature [incidence rate ratio (IRR) 2·25, 95% confidence interval (CI) 1·11–4·53, P = 0·024], and rainfall (IRR 1·01, 95% CI 1·00–1·02, P = 0·044) were independently associated with the monthly number of RSV infections. In conclusion, in Bogota, the capital of a tropical LMIC lying slightly above the equator, RSV activity peaks in the 3-month period from March to May, the main rainy period of the year in the city. In addition, rainfall and temperature are the two most important meteorological parameters that are independently associated with RSV activity in hospitalized children with ALRI in the city.

scholarly journals Spatiotemporal Variations of Particulate and Gaseous Pollutants and Their Relations to Meteorological Parameters: The Case of Xiangyang, China

2019 ◽  
Vol 17 (1) ◽  
pp. 136
Author(s):  
Wei Xue ◽  
Qingming Zhan ◽  
Qi Zhang ◽  
Zhonghua Wu
Keyword(s):  
Air Quality ◽  
Wind Speed ◽  
Relative Humidity ◽  
Air Pollutants ◽  
Meteorological Parameters ◽  
Air Pollutant ◽  
Weekend Effect ◽  
Gaseous Pollutants ◽  
Statistical Point ◽  
Particulate Pollutants

High air pollution levels have become a nationwide problem in China, but limited attention has been paid to prefecture-level cities. Furthermore, different time resolutions between air pollutant level data and meteorological parameters used in many previous studies can lead to biased results. Supported by synchronous measurements of air pollutants and meteorological parameters, including PM2.5, PM10, total suspended particles (TSP), CO, NO2, O3, SO2, temperature, relative humidity, wind speed and direction, at 16 urban sites in Xiangyang, China, from 1 March 2018 to 28 February 2019, this paper: (1) analyzes the overall air quality using an air quality index (AQI); (2) captures spatial dynamics of air pollutants with pollution point source data; (3) characterizes pollution variations at seasonal, day-of-week and diurnal timescales; (4) detects weekend effects and holiday (Chinese New Year and National Day holidays) effects from a statistical point of view; (5) establishes relationships between air pollutants and meteorological parameters. The principal results are as follows: (1) PM2.5 and PM10 act as primary pollutants all year round and O3 loses its primary pollutant position after November; (2) automobile manufacture contributes to more particulate pollutants while chemical plants produce more gaseous pollutants. TSP concentration is related to on-going construction and road sprinkler operations help alleviate it; (3) an unclear weekend effect for all air pollutants is confirmed; (4) celebration activities for the Chinese New Year bring distinctly increased concentrations of SO2 and thereby enhance secondary particulate pollutants; (5) relative humidity and wind speed, respectively, have strong negative correlations with coarse particles and fine particles. Temperature positively correlates with O3.

scholarly journals Influence of Meteorological Parameters on Air Quality at Hashemite University, Jordan

2017 ◽  
Vol 12 (2) ◽  
pp. 211-221
Author(s):  
Sana’a Odata ◽  
Abu- Allabanb ◽  
Khitam Odibatb
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Wind Speed ◽  
Relative Humidity ◽  
Air Temperature ◽  
Negative Correlation ◽  
Air Pollutants ◽  
Meteorological Parameters ◽  
Positive Correlation ◽  
Hashemite University

Four threshold air pollutants (SO2, NO, NO2, and O3) in addition to meteorological parameters were monitored at the Campus of the Hashemite University (HU) for two years (1/1/2012 through 30/12/013). Correlations between air pollution and meteorological parameters were derived. The results showed that O3 has a positive correlation with air temperature, wind speed and wind direction, but has a negative correlation with the relative humidity (RH). SO2 was found to have a negative correlation with the RH and wind speed, but positive correlation with air temperature. NO has negative correlation with air temperature, RH, and wind speed. And finally, NO2 has a negative correlation with RH and wind speed, but it has positive correlation with air temperature. Justify the reasons in brief with recommendations to improve the air quality

Sign in / Sign up

Export Citation Format

Share Document