Correlation Analysis between Land Use/Cover Change and Air Pollutants—A Case Study in Wuyishan City

Abstract

Land use changes have significantly altered the natural environment in which humans live. In urban areas, diminishing air quality poses a large threat to human health. In order to investigate the relationship between land use/cover change (LUCC) and air pollutants of Wuyishan City between 2014–2017, an integrated approach was used by combining remote sensing techniques with a landscape ecology methods. Annual, seasonal, and weekly mean values of air pollutant (SO2, NO2, CO, PM10, O3, PM2.5, black carbon) concentration and atmospheric visibility were calculated to develop a Pearson correlation between LUCC and air pollutants concentration. Results showed an increase in forested areas (1.79%) and water areas (15.89%), with a simultaneous reduction in cultivated land (6.47%), bare land (72.61%), and built-up land (16.03%) from 2014 to 2017. The transition matrix of land use types revealed that (i) forest expansion took place mainly at the expense of cultivated land (13.94%) and bare land (27.48%); and (ii) water area expansion took place mainly at the expense of cultivated land (1.29%) and forests (0.21%). In 2017, the proportion of days with AQI level I (94.52%) was higher than that in 2014 (88.77%). Additionally, the annual average visibility in 2017 (37.42 km) was higher than 2014 (27.46 km). The concentration of SO2, CO, O3, and black carbon was positively correlated with the cultivated land. The concentration of SO2, CO, and black carbon negatively correlated with the increase of forests. PM10, and PM2.5 is negatively correlated with the water area. Visibility was found to be positively correlated with forested area, and negatively correlated with cultivated land. The findings from this study represent a valuable gain in understanding of policies aimed at improving, safeguarding, and monitoring air quality. These results can be used to inform land-use planning decisions in a comprehensive way and could be a valuable tool for LUCC rational management strategies.

Spatial model of Particulate Matter PM10 in Bekasi City, West Java Province using Landsat-8

“…Although the locations index is different, this model shows that within a one-kilometer radius of bare land, there are several congestion points, so PM10 has unhealthy air quality index. This finding is also supported by previous research [30] that PM10 concentrations are usually higher in bare land than plantations. Landsat 8.…”

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

“…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.…”

“…The data were downloaded from USGS (data portal: https://earthexplorer.usgs.gov/) with cloud coverage less than 10%, which met the study requirements. The data preprocessing of the remote sensing images, including geometric correction, radiometric calibration, atmospheric correction, image enhancement, image mosaic, and clipping was performed in ENVI5.3 (ITT VIS, Boulder, Colorado, USA) [56].…”

Land use∖cover change and influencing factors inside the urban development boundary of different level cities: A case study in Hubei Province, China

“…On the other hand, a large number of scholars have carried out relevant research on the impact of urbanization, economic development, and population changes on LUCC, which also took Ghana's oil city, Western Kenya as example respectively (Acheampong et al, 2018;Kogo et al, 2021), especially the change of construction land of LUCC, which is also the core content of research on urban sprawl and unlimited urban expansion (Hasse and Lathrop, 2003;Kuang et al, 2016). Some scholars have also begun to study the relationship between air quality and LUCC taking Wuyishan J o u r n a l P r e -p r o o f City as a case, and found that different land use types and different air quality factors are closely related (Zhu et al, 2019).…”