Analysis of land use/land cover changes and driving forces during the period 1992–2022: a case study of Jinan City, China
This research aims to quantify the spatial pattern of urban land use/land cover (LULC) change while considering environmental effects. This paper integrates historical Landsat imagery, The Environment for Visualizing Images (ENVI), geographical information system (GIS), and socioeconomic data to det...
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| Format: | Article |
| Language: | English |
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IWA Publishing
2024-03-01
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| Series: | Aqua |
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| Online Access: | http://aqua.iwaponline.com/content/73/3/584 |
| _version_ | 1797205438584848384 |
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| author | Lingye Tan Robert Tiong L. K. Ziyang Zhang |
| author_facet | Lingye Tan Robert Tiong L. K. Ziyang Zhang |
| author_sort | Lingye Tan |
| collection | DOAJ |
| description | This research aims to quantify the spatial pattern of urban land use/land cover (LULC) change while considering environmental effects. This paper integrates historical Landsat imagery, The Environment for Visualizing Images (ENVI), geographical information system (GIS), and socioeconomic data to determine the spatial–temporal urban LULC dynamics and the conversion of LULC in response to the rapid urbanization from 1992 to 2022. Principle component analysis and multiple linear regression are used to determine and model the relationship between the socioeconomic factors and the changes for identifying the driving forces. The results indicate that impervious surfaces have exponentially increased, expanding more than two times from 2,348 to 4,795 km2, in contrast to bare lands, which drastically declined by 95%, from 1,888 to 87 km2. Water bodies have always been relatively fewer, at approximately 100 km2. In addition, the majority of farmland in Jinan City is concentrated in the northern region with a steady area in the range of 2,100–2,900 km2, while the majority of woodland located in the southern region declined from 3,774.52 km2 (37%) to 3,088.28 km2 (30%). Economic development, population growth, and climate change are the primary factors that have an obvious impact on LULC changes.
HIGHLIGHTS
This paper integrates remote sensing images, ENVI, geographical information system, and socioeconomic data to determine the spatial–temporal urban land use/land cover.;
Principle component analysis and multiple linear regression are used to determine the relationship between the socioeconomic factors and the changes for identifying the driving forces.;
The results indicate a rocketing increase of impervious surfaces, which expanded more than two times from 2,348 to 4,795 km2.; |
| first_indexed | 2024-04-24T08:51:08Z |
| format | Article |
| id | doaj.art-877a5229fdda458c98351617d938b79a |
| institution | Directory Open Access Journal |
| issn | 2709-8028 2709-8036 |
| language | English |
| last_indexed | 2024-04-24T08:51:08Z |
| publishDate | 2024-03-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Aqua |
| spelling | doaj.art-877a5229fdda458c98351617d938b79a2024-04-16T11:11:26ZengIWA PublishingAqua2709-80282709-80362024-03-0173358460710.2166/aqua.2024.311311Analysis of land use/land cover changes and driving forces during the period 1992–2022: a case study of Jinan City, ChinaLingye Tan0Robert Tiong L. K.1Ziyang Zhang2 School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore This research aims to quantify the spatial pattern of urban land use/land cover (LULC) change while considering environmental effects. This paper integrates historical Landsat imagery, The Environment for Visualizing Images (ENVI), geographical information system (GIS), and socioeconomic data to determine the spatial–temporal urban LULC dynamics and the conversion of LULC in response to the rapid urbanization from 1992 to 2022. Principle component analysis and multiple linear regression are used to determine and model the relationship between the socioeconomic factors and the changes for identifying the driving forces. The results indicate that impervious surfaces have exponentially increased, expanding more than two times from 2,348 to 4,795 km2, in contrast to bare lands, which drastically declined by 95%, from 1,888 to 87 km2. Water bodies have always been relatively fewer, at approximately 100 km2. In addition, the majority of farmland in Jinan City is concentrated in the northern region with a steady area in the range of 2,100–2,900 km2, while the majority of woodland located in the southern region declined from 3,774.52 km2 (37%) to 3,088.28 km2 (30%). Economic development, population growth, and climate change are the primary factors that have an obvious impact on LULC changes. HIGHLIGHTS This paper integrates remote sensing images, ENVI, geographical information system, and socioeconomic data to determine the spatial–temporal urban land use/land cover.; Principle component analysis and multiple linear regression are used to determine the relationship between the socioeconomic factors and the changes for identifying the driving forces.; The results indicate a rocketing increase of impervious surfaces, which expanded more than two times from 2,348 to 4,795 km2.;http://aqua.iwaponline.com/content/73/3/584driving factorsland use/land cover dynamic changeremote sensingspatial patterntransition |
| spellingShingle | Lingye Tan Robert Tiong L. K. Ziyang Zhang Analysis of land use/land cover changes and driving forces during the period 1992–2022: a case study of Jinan City, China Aqua driving factors land use/land cover dynamic change remote sensing spatial pattern transition |
| title | Analysis of land use/land cover changes and driving forces during the period 1992–2022: a case study of Jinan City, China |
| title_full | Analysis of land use/land cover changes and driving forces during the period 1992–2022: a case study of Jinan City, China |
| title_fullStr | Analysis of land use/land cover changes and driving forces during the period 1992–2022: a case study of Jinan City, China |
| title_full_unstemmed | Analysis of land use/land cover changes and driving forces during the period 1992–2022: a case study of Jinan City, China |
| title_short | Analysis of land use/land cover changes and driving forces during the period 1992–2022: a case study of Jinan City, China |
| title_sort | analysis of land use land cover changes and driving forces during the period 1992 2022 a case study of jinan city china |
| topic | driving factors land use/land cover dynamic change remote sensing spatial pattern transition |
| url | http://aqua.iwaponline.com/content/73/3/584 |
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