Emissions inventory, ISCST, and neural network modelling of air pollution in Kuwait

Ettouney, R.S.; Abdul‐Wahab, Sabah A.; Elkilani, Amal

doi:10.1080/00207230902859929

Cited by 16 publications

(13 citation statements)

References 15 publications

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“…GIS-based pollution mapping, using interpolation techniques, such as inverse distance weighting and kriging have proved efficient in the assessment of urban air pollution [van der Kassteele , 2006;ESRI, 2007;Chattopadhyay et al, 2010]. Air pollution maps are potentially powerful tools particularly for urban areas for use in epidemiological studies and in identifying the "hot-spots" in need of special investigation or monitoring [Matejicek, 2005;Ettouney et al, 2009;Banja et al, 2010;Sampson et al, 2011;Sameen et al, 2014]. Integrating spatial analysis in GIS and statistical modelling can help the researcher to expand the understanding concerning the distribution of the pollutants in some locations or areas and to understand the factors that influence the trends and significance [Rahman et al, 2015].…”

Section: Introductionmentioning

confidence: 99%

Mapping of Traffic-Related Air Pollution Using GIS Techniques in Ijebu-Ode, Nigeria

Adedeji

Oluwafunmilayo

Oluwaseun

2016

IJG

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Spatial and temporal characteristics of traffic related air pollutants (CO, NO, NO 2 and SO 2 ) in Ijebu-ode, Nigeria were determined using replicate portable gas detectors (Land Duo Multi Gas Monitor) at selected road junctions, motor garages and markets. Mapping of different concentration of air pollutants was carried out using kriging type of interpolation method in GIS environment. Concentration of CO ranges from 4.8 ppm at Erinlu/Molipa Roundabout to 137ppm on Sagamu/Ore Expressway. Concentrations of NO 2 range from 100-662 ppb with overall average value (OAV) of 299.8 ppb, while concentration of nitrogen oxide (NO) ranges between 67-302 ppb and OAV of 166.23 ppb. SO 2 had concentration ranging between 38-245 ppb and an OAV of 139.07 ppb all of which are above standard ambient air quality standards. AQI indicated very unhealthy air quality in most areas which calls for the need to establish and strengthen the health-based standard for air pollutants. Abstrak Karakteristik spasial dan temporal polutan udara terkait lalu lintas (CO, NO, NO 2 dan SO 2 ) di Ijebu-ode, Nigeria ditentukan dengan detektor gas portable replika (Land Duo Multi Gas Monitor) di persimpangan jalan yang dipilih, garasi bermotor dan pasar. Pemetaan berbagai konsentrasi polutan udara dilakukan dengan menggunakan jenis kriging dari metode interpolasi di GIS. Konsentrasi CO berkisar dari 4,8 ppm di bundaran Erinlu

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Section: Introductionmentioning

confidence: 99%

Mapping of Traffic-Related Air Pollution Using GIS Techniques in Ijebu-Ode, Nigeria

Adedeji

Oluwafunmilayo

Oluwaseun

2016

IJG

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“…Most of the forecasting systems that have been developed to predict the ambient ozone concentration in Kuwait use meteorological data and precursor concentrations (Ettouney et al 2009a;Ettouney et al 2009b;Ettouney et al 2009c). Abdul-Wahab et al (1996) used stepwise multiple regression modeling to predict ozone levels from precursor concentrations and meteorological conditions during daylight hours in the Shuaiba Industrial Area (SIA) of Kuwait.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, studies that analyzed ozone levels were focused on comparing ozone levels with international standard limits, assessing health effects of ozone pollution, understanding diurnal behavior of ozone, and studying the seasonal trends in ozone levels (Ettouney et al 2009a;Ettouney et al 2009b). …”

Section: Introductionmentioning

confidence: 99%

Public warning systems for forecasting ambient ozone pollution in Kuwait

Al-Shammari

2013

Environ Syst Res

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Background: In this paper, the performances of different forecasting systems are compared using the daily maximum ozone levels across three locations in Kuwait. The two analytical tools used in this study to forecast daily maximum ozone levels are time series modeling and fuzzy modeling. The structure of the two proposed forecasting models are derived from basic principles, which include a combination of persistence and daily maximum air temperature as input variables.

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“…This comparison includes the study of seasonal trends of ozone levels, understating of behavior diurnally in ozone, assessment of effects on health by ozone pollution [11], [12].…”

Section: Introductionmentioning

confidence: 99%

“…Few studies on developing a robust system for a public warning system of forecasting that can be utilized, most of the forecasting systems were developed for the prediction of concentration in the ambient ozone in Kuwait with the use of precursor concentrations and meteorological data [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Towards an accurate Ground-Level Ozone Prediction

Al-Shammari¹

2018

IJECE

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This paper motivation is to find the most accurate technique to predict the ground level ozone at Al Jahra station, Kuwait. The data on the meteorological variables (air temperature, relative humidity, solar radiation, direction and speed of wind) and concentration of seven pollutants of environment (SO2, NO2, NO, CO2, CO, NMHC, and CH4) were applied to forecast the ozone concentration in atmosphere. In this report, three methods (PLS regression, support vector machine (SVM), and multiple least-square regression) were used to predict ground-level ozone. We used Fifteen parameters to evaluate the performance of methods. Multiple least-square regression, partial least square regression (PLS regression), and SVM using linear and radial kernels were the best performers with MAE (mean absolute error) of 9.17x 10-03, 9.72 x 10-03, 9.64 x 10-03, and 9.12 x 10-03, respectively. SVM with polynomial kernel had MAE of 5.46 x 10-02. These results show that these methods could be used to predict ground-level ozone concentrations at Al Jahra station in Kuwait.

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Emissions inventory, ISCST, and neural network modelling of air pollution in Kuwait

Cited by 16 publications

References 15 publications

Mapping of Traffic-Related Air Pollution Using GIS Techniques in Ijebu-Ode, Nigeria

Mapping of Traffic-Related Air Pollution Using GIS Techniques in Ijebu-Ode, Nigeria

Public warning systems for forecasting ambient ozone pollution in Kuwait

Towards an accurate Ground-Level Ozone Prediction

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