Spatial assessment of land use impact on air quality in mega urban regions, Malaysia

Halim, Nor Diana Abdul; Latif, Mohd Talib; Mohamed, Ahmad Fariz; Maulud, Khairul Nizam Abdul; Idrus, Shaharudin; Azhari, Azliyana; Othman, Murnira; Sofwan, Nurzawani Md

doi:10.1016/j.scs.2020.102436

Cited by 47 publications

(23 citation statements)

References 73 publications

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“…Positively significant correlation was detected between AOD and water body (Table 3 and Figure 6). This finding was consistent with the results from Luo et al (2001) [61] and Che et al (2009) [59], but contrary to those from Zhu et al (2019) [56] and Halim et al (2020) [34]. Rich water resources and the crisscross water network in our study area were partly responsible for it.…”

Section: Limitations and Research Prospectssupporting

confidence: 91%

“…For example, pollutant amounts and types significantly varied in industrial land, commercial land, residential land, and traffic land, which then had different contributions to aerosols and their distribution [74]. Yet, most present studies grouped the above land types into built-up areas when discussing their effect on air pollution [33,34,38,75]. These need to be further improved in the future research.…”

Section: Limitations and Research Prospectsmentioning

confidence: 87%

“…The LULC pattern is closely related to the spatial distribution of population density, pollution sources, and meteorological conditions, which affects the AOD distribution and pattern. Both remote sensed technology and ground-based investigation are performed to investigate the relationship between LULC and AOD and AOD-related pollution [32][33][34][35]. The Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products provide spatially consistent data, which have been widely used in recent years [19,28,29,[36][37][38].…”

Section: Introductionmentioning

confidence: 99%

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Monitoring the Spatial Variation of Aerosol Optical Depth and Its Correlation with Land Use/Land Cover in Wuhan, China: A Perspective of Urban Planning

Xie

Sun

2021

IJERPH

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Aerosols significantly affect environmental conditions, air quality, and public health locally, regionally, and globally. Examining the impact of land use/land cover (LULC) on aerosol optical depth (AOD) helps to understand how human activities influence air quality and develop suitable solutions. The Landsat 8 image and Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products in summer in 2018 were used in LULC classification and AOD retrieval in this study. Spatial statistics and correlation analysis about the relationship between LULC and AOD were performed to examine the impact of LULC on AOD in summer in Wuhan, China. Results indicate that the AOD distribution expressed an obvious “basin effect” in urban development areas: higher AOD values concentrated in water bodies with lower terrain, which were surrounded by the high buildings or mountains with lower AOD values. The AOD values were negatively correlated with the vegetated areas while positively correlated to water bodies and construction lands. The impact of LULC on AOD varied with different contexts in all cases, showing a “context effect”. The regression correlations among the normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference water index (NDWI), and AOD in given landscape contexts were much stronger than those throughout the whole study area. These findings provide sound evidence for urban planning, land use management and air quality improvement.

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Section: Limitations and Research Prospectssupporting

confidence: 91%

Section: Limitations and Research Prospectsmentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Monitoring the Spatial Variation of Aerosol Optical Depth and Its Correlation with Land Use/Land Cover in Wuhan, China: A Perspective of Urban Planning

Xie

Sun

2021

IJERPH

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“…Variables with significance values that are greater than the alpha value ( p > 0.05) were removed from the data set. In order to compare the spatiotemporal variation of air pollutants during the MCO and similar time frames in 2018 and 2019, Inverse Distance Weighting (IDW) was applied in the analysis as the IDW method is a practical and suitable method for spatial air quality modelling when the observation points are lower in number ( Halim et al, 2020 ; Jumaah et al, 2019 ; Li et al, 2019 ; Peshin et al, 2017 ).…”

Section: Methodsmentioning

confidence: 99%

The concentration of major air pollutants during the movement control order due to the COVID-19 pandemic in the Klang Valley, Malaysia

Latif

Dominick

Hawari

et al. 2021

Sustainable Cities and Society

Self Cite

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“…The Beijing-Tianjin-Hebei region is one of the most severely polluted areas in China ( Wang et al., 2014 ; Wang, Li, Qiao & Lu, 2019 ; Yan et al., 2018 ). Air pollution has become a major threat to human health ( Halim, Latif & Mohamed, 2020 ; Zou et al., 2019 ) and an important problem for facilitating sustainable development ( Mao, Wang & Jiao, 2021 ). Concurrent with the considerable economic development of the past few decades, Beijing and its surroundings have suffered severe air pollution, causing substantial loss ( Gao et al., 2015 ; Guo et al., 2010 ; Xin, Shao & Wang, 2021 ; Yin, Pizzol & Xu, 2017 ; Zou et al., 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Does the joint prevention and control regulation improve the air quality? A quasi-experiment in the Beijing economic belt during the COVID-19 pandemic

Tao

Wheiler

et al. 2021

Sustainable Cities and Society

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This study aims to clarify the correlation between air pollution of cities in Beijing Economic Belt from a time-varying perspective and estimate effects of joint prevention and control regulation of air pollution. The COVID-19 pandemic provides a unique opportunity. Based on daily data of air quality, we used TVP-VAR model and utilize the pandemic as a quasi-experiment to assess the policies. The results show air pollution in surrounding cities does influence Beijing's air quality, but the relationship has been weakening year by year, mainly due to industrial adjustment which have achieved progress on alleviating the path of air pollution. Therefore, it is necessary to implement joint regulation in areas with serious pollution. Specifically, the relationship between the air quality of Beijing and Zhangjiakou, Chengde, Tianjin decreased as the pandemic became worse. In contrast, there was no significant decline in Langfang and Baoding. So unlike Baoding and Langfang, industrial production increased relationships between air quality of Beijing and the other three cities, which highlights the validity of restrictions. However, restrictions implemented on Baoding and Langfang affect economic development but have little effect on Beijing's air governance. Therefore, joint regulation contributes to realizing sustainable cities, but more targeted policies should be formulated.

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Spatial assessment of land use impact on air quality in mega urban regions, Malaysia

Cited by 47 publications

References 73 publications

Monitoring the Spatial Variation of Aerosol Optical Depth and Its Correlation with Land Use/Land Cover in Wuhan, China: A Perspective of Urban Planning

Monitoring the Spatial Variation of Aerosol Optical Depth and Its Correlation with Land Use/Land Cover in Wuhan, China: A Perspective of Urban Planning

The concentration of major air pollutants during the movement control order due to the COVID-19 pandemic in the Klang Valley, Malaysia

Does the joint prevention and control regulation improve the air quality? A quasi-experiment in the Beijing economic belt during the COVID-19 pandemic

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