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Quantitative law and scenario-based forecasting of different land use expansion, based on reliability analysis in mountainous areas.
Zou, Fang; Hu, Yingling; Long, Meiqin; Lai, Junxiang.
Afiliación
  • Zou F; School of Architecture, Changsha University of Science and Technology, 45 Chiling Road, Tianxin District, Changsha, 410076, China. zoufang@csust.edu.cn.
  • Hu Y; School of Architecture and Planning, Hunan University, Changsha, 410082, China.
  • Long M; School of Architecture, Changsha University of Science and Technology, 45 Chiling Road, Tianxin District, Changsha, 410076, China.
  • Lai J; School of Architecture, Changsha University of Science and Technology, 45 Chiling Road, Tianxin District, Changsha, 410076, China.
Environ Sci Pollut Res Int ; 30(40): 92801-92816, 2023 Aug.
Article en En | MEDLINE | ID: mdl-37495808
The continuous high-intensity and disorderly expansion of construction land in mountainous areas threatens city development; consequently, the scientific guidance of its sustainable development has become a research hotspot. This work aimed to develop a new theoretical framework for predicting land expansion. Based on DMSP/OLS-Landsat 7 data correction from 2000 to 2019, to ensure data reliability, this study quantitatively analysed the expansion law of land-use and land-cover (LULC) in Huayuan, a typical mountainous area in China. Based on the land expansion law, the patch-generating land use simulation (PLUS) model was used to predict various types of LULCs in different scenarios. The results showed that (1) the reliability of LULC under multi-source spatio-temporal data correction reached more than 0.97. (2) The expansion law of industrial and mining land, urban living land, and traffic land is sprawl, while rural living land is enclaved and the expansion direction and intensity are obviously different. (3) The scale of land expansion in the natural-oriented scenario was significantly higher than that in the humanism-oriented scenario, with a higher value of 199.33 hm2. This study expands the case study of land use analysis and prediction, and provides scientific guidance for different land expansion planning, which can avoid the mismatch and waste of land resources. Furthermore, it also deepens the exploration of LULC identification reliability method and enriches the theory of different land use prediction in mountainous areas.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conservación de los Recursos Naturales / Desarrollo Sostenible Tipo de estudio: Prognostic_studies Aspecto: Determinantes_sociais_saude País/Región como asunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conservación de los Recursos Naturales / Desarrollo Sostenible Tipo de estudio: Prognostic_studies Aspecto: Determinantes_sociais_saude País/Región como asunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Alemania