Literature DB >> 33525318

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

Qijiao Xie1,2, Qi Sun1.   

Abstract

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.

Entities:  

Keywords:  AOD pollution; correlation analysis; land use pattern; spatial distribution; urbanization

Year:  2021        PMID: 33525318      PMCID: PMC7908386          DOI: 10.3390/ijerph18031132

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  20 in total

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2.  Filling the missing data gaps of daily MODIS AOD using spatiotemporal interpolation.

Authors:  Jing Yang; Maogui Hu
Journal:  Sci Total Environ       Date:  2018-03-28       Impact factor: 7.963

3.  MAIAC-based long-term spatiotemporal trends of PM2.5 in Beijing, China.

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4.  Landscape determinants of spatio-temporal patterns of aerosol optical depth in the two most polluted metropolitans in the United States.

Authors:  Chenghao Wang; Chuyuan Wang; Soe W Myint; Zhi-Hua Wang
Journal:  Sci Total Environ       Date:  2017-08-08       Impact factor: 7.963

5.  Response of heterogeneous vegetation to aerosol radiative forcing over a northeast Indian station.

Authors:  R Latha; B Vinayak; B S Murthy
Journal:  J Environ Manage       Date:  2017-10-20       Impact factor: 6.789

Review 6.  The nexus between air pollution, green infrastructure and human health.

Authors:  Prashant Kumar; Angela Druckman; John Gallagher; Birgitta Gatersleben; Sarah Allison; Theodore S Eisenman; Uy Hoang; Sarkawt Hama; Arvind Tiwari; Ashish Sharma; K V Abhijith; Deepti Adlakha; Aonghus McNabola; Thomas Astell-Burt; Xiaoqi Feng; Anne C Skeldon; Simon de Lusignan; Lidia Morawska
Journal:  Environ Int       Date:  2019-10-29       Impact factor: 9.621

7.  Fine particulate air pollution and human mortality: 25+ years of cohort studies.

Authors:  C Arden Pope; Nathan Coleman; Zachari A Pond; Richard T Burnett
Journal:  Environ Res       Date:  2019-11-14       Impact factor: 6.498

8.  Effect of lockdown due to SARS COVID-19 on aerosol optical depth (AOD) over urban and mining regions in India.

Authors:  Avinash Kumar Ranjan; A K Patra; A K Gorai
Journal:  Sci Total Environ       Date:  2020-07-19       Impact factor: 7.963

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