scholarly journals Mathematical Modeling of Air Pollutants: An Application to Indian Urban City

10.5772/16840 ◽  
2011 ◽  
Author(s):  
P. Goyal ◽  
Anikender Kumar
Keyword(s):  
Mathematical Modeling ◽  
Air Pollutants ◽  
Urban City

Mathematical Modeling of Heterogeneous Photocatalytic Mineralization of Organic Air Pollutants

2021 ◽  
Vol 15 (5) ◽  
pp. 868-879
Author(s):  
I. V. Kumpanenko ◽  
N. A. Ivanova ◽  
M. V. Dyubanov ◽  
O. V. Shapovalova ◽  
I. D. Epinat’ev ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Air Pollutants

scholarly journals Air Pollution and Emergency Hospital Admissions—Evidences from Lisbon Metropolitan Area, Portugal

2020 ◽  
Vol 10 (22) ◽  
pp. 7997
Author(s):  
Pedro Franco ◽  
Cristina Gordo ◽  
Eduarda Marques da Costa ◽  
António Lopes
Keyword(s):  
Air Pollution ◽  
Metropolitan Area ◽  
Air Pollutants ◽  
Respiratory Diseases ◽  
Hospital Admissions ◽  
Age Group ◽  
Emergency Hospital ◽  
Emergency Hospital Admissions ◽  
Urban City ◽  
Circulatory Diseases

The relevance of air pollution in the public health agenda has recently been reinforced—it is known that exposure to it has negative effects in the health of individuals, especially in big cities and metropolitan areas. In this article we observed the evolution of air pollutants (CO, NO, NO2, O3, PM10) emissions and we confront them with health vulnerabilities related to respiratory and circulatory diseases (all circulatory diseases, cardiac diseases, cerebrovascular disease, ischemic heart disease, all respiratory diseases, chronic lower respiratory diseases, acute upper respiratory infections). The study is supported in two databases, one of air pollutants and the other of emergency hospital admissions, in the 2005–2015 period, applied to the Lisbon Metropolitan Area. The analysis was conducted through Ordinary Least Squares (OLS) regression, while also using semi-elasticity to quantify associations. Results showed positive associations between air pollutants and admissions, tendentially higher in respiratory diseases, with CO and O3 having the highest number of associations, and the senior age group being the most impacted. We concluded that O3 is a good predictor for the under-15 age group and PM10 for the over-64 age group; also, there seems to exist a distinction between the urban city core and its suburban areas in air pollution and its relation to emergency hospital admissions.

scholarly journals Tropospheric Ozone Formation Estimation in Urban City, Bangi, Using Artificial Neural Network (ANN)

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Fatin Aqilah Binti Abdul Aziz ◽  
Norliza Abd. Rahman ◽  
Jarinah Mohd Ali
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Ozone Concentration ◽  
Tropospheric Ozone ◽  
Air Pollutants ◽  
Rapid Development ◽  
Ground Level ◽  
Urban City ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Due to the rapid development of economy and society around the world, the most urban city is experiencing tropospheric ozone or commonly known as ground-level air pollutants. The concentration of air pollutants must be identified as an early precaution step by the local environmental or health agencies. This work aims to apply the artificial neural network (ANN) in estimating the ozone concentration forecast in Bangi. It consists of input variables such as temperature, relative humidity, concentration of nitrogen dioxide, time, UVA and UVB rays obtained from routine monitoring, and data recorded. Ten hidden layer is utilized to obtain the optimized ozone concentration, which is the output layer of the ANN framework. The finding showed that the meteorology condition and emission patterns play an important part in influencing the ozone concentration. However, a single network is sufficient enough to estimate the concentration despite any circumstances. Thus, it can be concluded that ANN is able to give reliable and satisfactory estimations of ozone concentration for the following day.

scholarly journals Source apportionment of the particulate PAHs at Seoul, Korea: impact of long range transport to a megacity

2007 ◽  
Vol 7 (1) ◽  
pp. 1479-1506 ◽  
Author(s):  
J. Y. Lee ◽  
Y. P. Kim
Keyword(s):  
Long Range ◽  
Biomass Burning ◽  
Air Pollutants ◽  
Northeast Asia ◽  
Measurement Data ◽  
Coke Oven ◽  
Long Range Transport ◽  
Diesel Vehicles ◽  
Urban City ◽  
Range Transport

Abstract. Northeast Asia including China, Korea, and Japan is one of the world's largest fossil fuel consumption regions. Seoul is a megacity in Northeast Asia and its emissions of air pollutants can affect the region and is also affected by the regional emissions. To understand the degree of this relationship, major sources of ambient particulate PAHs at Seoul, Korea were identified and quantified based on the measurement data between August 2002 and December 2003. The chemical mass balance (CMB) model was applied. Seven major emission sources were identified based on the emission data in Seoul and Northeast Asia: Gasoline and diesel vehicles, coal residential, coke oven, coal power plant, biomass burning, natural gas (NG) combustion. The major source of particulate PAHs at Seoul on the whole measurement period was gasoline and diesel vehicles, accounted for 31% of the measured particulate PAHs levels. However, the source contributions showed distinct seasonal variations. High contributions of biomass burning and coal (residential and coke oven) were shown in fall and winter accounted for 63% and 82% of the total PAHs concentration, respectively. Since these sources were not strong in and around Seoul, these might be related to transport from outside of Seoul, from China and/or North Korea. It implies that the air quality in the large urban city such as Seoul can be influenced by the long range transport of air pollutants such as PAHs.

Mathematical modeling and control of the dry deposition flux of nitrogen-containing air pollutants

1993 ◽  
Vol 27 (13) ◽  
pp. 2772-2782 ◽  
Author(s):  
Armistead G. Russell ◽  
Darrell A. Winner ◽  
Robert A. Harley ◽  
Kenneth F. McCue ◽  
Glen R. Cass
Keyword(s):  
Mathematical Modeling ◽  
Dry Deposition ◽  
Air Pollutants ◽  
Deposition Flux ◽  
Modeling And Control ◽  
Dry Deposition Flux ◽  
And Control

Some Effects of Oxidant Air Pollutants (Ozone and Peroxyacetyl Nitrate) on the Ultrastructure of Leaf Tissues

1972 ◽  
Vol 30 ◽  
pp. 360-361
Author(s):  
William W. Thomson ◽  
Elizabeth S. Swanson
Keyword(s):  
Air Pollutants ◽  
Electron Microscopic Examination ◽  
Peroxyacetyl Nitrate ◽  
Electron Microscopic ◽  
Growth Physiology ◽  
Physiology And Biochemistry ◽  
Entire Plant ◽  
Leaf Tissues ◽  
Gaseous Hydrocarbons ◽  
The Individual

The oxidant air pollutants, ozone and peroxyacetyl nitrate, are produced in the atmosphere through the interaction of light with nitrogen oxides and gaseous hydrocarbons. These oxidants are phytotoxicants and are known to deleteriously affect plant growth, physiology, and biochemistry. In many instances they induce changes which lead to the death of cells, tissues, organs, and frequently the entire plant. The most obvious damage and biochemical changes are generally observed with leaves.Electron microscopic examination of leaves from bean (Phaseolus vulgaris L.) tobacco (Nicotiana tabacum L.) and cotton (Gossipyum hirsutum L.) fumigated for .5 to 2 hours with 0.3 -1 ppm of the individual oxidants revealed that changes in the ultrastructure of the cells occurred in a sequential fashion with time following the fumigation period. Although occasional cells showed severe damage immediately after fumigation, the most obvious change was an enhanced clarity of the cell membranes.

Freeze-dried dispersions for automated SEM analysis of individual submicron airborne particulates

1992 ◽  
Vol 50 (1) ◽  
pp. 408-409
Author(s):  
Karen A. Katrinak ◽  
David W. Brekke ◽  
John P. Hurley
Keyword(s):  
Air Pollutants ◽  
Size Range ◽  
Sem Analysis ◽  
Individual Particle ◽  
Chemical Data ◽  
Particle Analysis ◽  
Bulk Analysis ◽  
Airborne Particulates ◽  
Freeze Dried ◽  
Individual Particle Analysis

Individual-particle analysis is well established as an alternative to bulk analysis of airborne particulates. It yields size and chemical data on a particle-by-particle basis, information that is critical in predicting the behavior of air pollutants. Individual-particle analysis is especially important for particles with diameter < 1 μm, because particles in this size range have a disproportionately large effect on atmospheric visibility and health.

Sign in / Sign up

Export Citation Format

Share Document