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

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&#...

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Main Authors: Zhipeng Zhu, Guangyu Wang, Jianwen Dong
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/13/2545
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spelling doaj-3ad4852251b54a1fb6079528dc8a2fa32020-11-25T01:20:41ZengMDPI AGEnergies1996-10732019-07-011213254510.3390/en12132545en12132545Correlation Analysis between Land Use/Cover Change and Air Pollutants—A Case Study in Wuyishan CityZhipeng Zhu0Guangyu Wang1Jianwen Dong2College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaFaculty of Forestry, The University of British Columbia, Vancouver, BC V6T 1Z4, CanadaCollege of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaLand 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&#8722;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 (SO<sub>2</sub>, NO<sub>2</sub>, CO, PM<sub>10</sub>, O<sub>3</sub>, PM<sub>2.5</sub>, 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 SO<sub>2</sub>, CO, O<sub>3</sub>, and black carbon was positively correlated with the cultivated land. The concentration of SO<sub>2</sub>, CO, and black carbon negatively correlated with the increase of forests. PM<sub>10</sub>, and PM<sub>2.5</sub> 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.https://www.mdpi.com/1996-1073/12/13/2545land use/cover change (LUCC)air pollutioncorrelationWuyishan City
collection DOAJ
language English
format Article
sources DOAJ
author Zhipeng Zhu
Guangyu Wang
Jianwen Dong
spellingShingle Zhipeng Zhu
Guangyu Wang
Jianwen Dong
Correlation Analysis between Land Use/Cover Change and Air Pollutants—A Case Study in Wuyishan City
Energies
land use/cover change (LUCC)
air pollution
correlation
Wuyishan City
author_facet Zhipeng Zhu
Guangyu Wang
Jianwen Dong
author_sort Zhipeng Zhu
title Correlation Analysis between Land Use/Cover Change and Air Pollutants—A Case Study in Wuyishan City
title_short Correlation Analysis between Land Use/Cover Change and Air Pollutants—A Case Study in Wuyishan City
title_full Correlation Analysis between Land Use/Cover Change and Air Pollutants—A Case Study in Wuyishan City
title_fullStr Correlation Analysis between Land Use/Cover Change and Air Pollutants—A Case Study in Wuyishan City
title_full_unstemmed Correlation Analysis between Land Use/Cover Change and Air Pollutants—A Case Study in Wuyishan City
title_sort correlation analysis between land use/cover change and air pollutants—a case study in wuyishan city
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2019-07-01
description 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&#8722;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 (SO<sub>2</sub>, NO<sub>2</sub>, CO, PM<sub>10</sub>, O<sub>3</sub>, PM<sub>2.5</sub>, 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 SO<sub>2</sub>, CO, O<sub>3</sub>, and black carbon was positively correlated with the cultivated land. The concentration of SO<sub>2</sub>, CO, and black carbon negatively correlated with the increase of forests. PM<sub>10</sub>, and PM<sub>2.5</sub> 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.
topic land use/cover change (LUCC)
air pollution
correlation
Wuyishan City
url https://www.mdpi.com/1996-1073/12/13/2545
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