Air quality index prediction using IDW geostatistical technique and OLS-based GIS technique in Kuala Lumpur, Malaysia

Jumaah, Huda Jamal; Ameen, Mohammed Hashim; Kalantar, Bahareh; Rizeei, Hossein Mojaddadi; Jumaah, Sarah Jamal

doi:10.1080/19475705.2019.1683084

Cited by 87 publications

(51 citation statements)

References 34 publications

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“…Based on the ten monitoring sites, the interpolated maps of each pollutant and AQI have been generated from pre-lockdown tenure to during lockdown tenure. In this study, inverse distance weighting (IDW) interpolator by linear combination model has been used because it is easy to operate than others without any pre-program assumptions to opt for a semi-variogram model (Jumaah et al 2019 ; Poshtmasari et al 2012 ).…”

Section: Methodsmentioning

confidence: 99%

Assessing the immediate impact of COVID-19 lockdown on the air quality of Kolkata and Howrah, West Bengal, India

Sarkar

Das²,

Mukhopadhyay

2020

Environ Dev Sustain

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The worldwide spread of COVID-19 caused a nationwide lockdown in India from 24 March 2020 and was further extended up to 3 May 2020 to break off the transmission of novel Coronavirus. The study is designed to assess the changes in air quality from the pre-lockdown period to the during lockdown period in Kolkata and Howrah municipal corporation, West Bengal, India. GIS-based techniques include the spatial and temporal distribution of pollutants using interpolation method, and on the other hand, statistical methods like analysis of variance (ANOVA) was applied to determine the mean differences two phases and correlation matrix helps to understand the changing association of the pollutants in pre- and during lockdown phases. Significant correlations have been found among the pollutants, ANOVA (Two-Way) has shown the significant mean difference of NAQI between the two phases, F (1,611) = 465.723, p < 0.0001; pairwise comparison for Ballygunge has shown the highest mean difference 108.194 at p < 0.0001 significant level between lockdown and pre-lockdown phase. Significant positive correlation has been found between PM 2.5 , PM 10 (0.99*); PM 2.5, NO 2 (0.81*); PM 10 , NO 2 (0.81*); CO, NO 2 (0.77*) and some negative correlations have also been found between O 3 , NO (− 0.15); O 3 and NH 3 (− 0.36) in the pre-lockdown phase. The reduction amount of mean concentration from the pre-lockdown phase to during lockdown of the main pollutants like PM 2.5 , PM 10 and NO 2 are ~ 58.71%, ~ 57.92% and ~ 55.23%. Near Rabindra Bharati University constant emission of PM 2.5 , 10 and NO 2 have been recorded due to the nearby Cossipore thermal power station.

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Section: Methodsmentioning

confidence: 99%

Assessing the immediate impact of COVID-19 lockdown on the air quality of Kolkata and Howrah, West Bengal, India

Sarkar

Das²,

Mukhopadhyay

2020

Environ Dev Sustain

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show abstract

“…Based on the ten monitoring sites; the interpolated maps of each pollutant and AQI have been generated from pre-lockdown tenure to during lockdown tenure. In this study, Inverse Distance Weighting (IDW) interpolator by linear combination model has been used because it is easy to operate than others without any preprogram assumptions to opt for a semi-variogram model (Jumaah et al 2019;Poshtmasari et al 2012) ANOVA (Two-way), Cluster Analysis (single linkage) based on the Euclidean distance and Ward's methods and Pearson Moment Correlation Coe cient (r) were computed using IBM SPSS version23. STATA 12 was used for the Box plots of AQI.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Immediate Impact of COVID-19 Lockdown on the Air Quality of Kolkata and Howrah, West Bengal, India

Sarkar

Das²,

Mukhopadhyay

2020

Preprint

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Abstract The worldwide spread of COVID-19 caused a nationwide lockdown in India from 24th March 2020 and was further extended up to 3rd May 2020 to break off the transmission of novel Coronavirus. The study is designed to assess the changes in air quality from the pre lockdown period to the during lockdown period in Kolkata and Howrah municipal corporation, West Bengal, India. GIS-based techniques include the spatial and temporal distribution of pollutants using interpolation method, on the other hand, statistical methods like Analysis of Variance (ANOVA) was applied to determine the mean differences two phases and correlation matrix helps to understand the changing association of the pollutants in pre and during-lockdown phases. Significant correlations have been found among the pollutants, ANOVA (Two-Way) has shown the significant mean difference of NAQI between the two phases, F (1,611)=465.723, p<0.0001; pairwise comparison for Ballygunj has shown the highest mean difference 108.194 at p<0.0001 significant level between lockdown and pre lockdown phase. Significant positive correlation has been found between PM2.5, PM 10 (0.99*); PM2.5, NO2 (0.81*); PM10, NO2 (0.81*); CO, NO2 (0.77*) and some negative correlations have also been found between O3, NO (-0.15); O3 and NH3 (-0.36) in the pre lockdown phase. The reduction amount of mean concentration from the pre lockdown phase to during lockdown of the main pollutants like PM 2.5, PM10 and NO2 are ~58.71%, ~57.92% and ~55.23%. Near RBU constant emission of PM2.5, 10 and NO2 have been recorded due to the nearby Cossipore thermal power station.

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“…The usage of IDW spatial methods for air quality analysis has been carried out by several studies [17,18]. However, these studies did not include elements of the back-casting method in them.…”

Section: Discussionmentioning

confidence: 99%

Spatial Dynamics of Air Pollution in Tangerang City, Jabodetabek Metropolitan Area

Erawan¹,

Karuniasa²

2020

Proceedings of the Proceedings of the 13th International Interdisciplinary Studies Seminar, IISS 2019, 30-31 October 2019, Mala

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Air pollution is the most common problem in urban areas. Growth and population movements are key issues in urban areas that trigger an increase in the number of motor vehicles, especially in the metropolitan area. This condition leads to high and widespread areas affected by air pollution each year. This research aims to illustrate the possibility of distribution patterns and the dynamics of air pollution in urban areas of Tangerang city. The parameters used in this research are carbon monoxide (CO). To illustrate the distribution pattern, the Geographical Information System method was used. The results of this research show that the areas affected by air pollution are spreading annually. Based on the findings of this study, the average CO concentration exceeds the quality standards in 2034. This can be considered by the people and governments to keep urban areas sustainable.

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Air quality index prediction using IDW geostatistical technique and OLS-based GIS technique in Kuala Lumpur, Malaysia

Cited by 87 publications

References 34 publications

Assessing the immediate impact of COVID-19 lockdown on the air quality of Kolkata and Howrah, West Bengal, India

Assessing the immediate impact of COVID-19 lockdown on the air quality of Kolkata and Howrah, West Bengal, India

Assessing the Immediate Impact of COVID-19 Lockdown on the Air Quality of Kolkata and Howrah, West Bengal, India

Spatial Dynamics of Air Pollution in Tangerang City, Jabodetabek Metropolitan Area

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