Predicting Land Use Changes in the Guangdong-Hong Kong-Macao Greater Bay Area Under Alternative Scenarios Using the PLUS Model

Yan Xin; Zhao Ziyu; Fu Yanfang; Ding Qiong; Ling Bohua; Huang Gangya; Ng Alex Hay-Man

doi:10.12052/gdutxb.250132

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Predicting Land Use Changes in the Guangdong-Hong Kong-Macao Greater Bay Area Under Alternative Scenarios Using the PLUS Model

更新时间：2026-08-04

- Predicting Land Use Changes in the Guangdong-Hong Kong-Macao Greater Bay Area Under Alternative Scenarios Using the PLUS Model
- Vol. 43, Issue 4, Pages: 47-57(2026)
- 作者机构：
  
  广东工业大学土木与交通工程学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.250132
  CLC： TP79;P237
- Published：2026
- 稿件说明：
移动端阅览
闫欣, 赵梓妤, 付炎芳, 等. 基于PLUS模型的粤港澳大湾区土地利用演变的多情景模拟研究[J]. 广东工业大学学报, 2026, 43(4): 47-57.
闫欣, 赵梓妤, 付炎芳, 等. 基于PLUS模型的粤港澳大湾区土地利用演变的多情景模拟研究[J]. 广东工业大学学报, 2026, 43(4): 47-57. DOI： 10.12052/gdutxb.250132.

DOI： 10.12052/gdutxb.250132

摘要

在全球气候变化背景下，研究未来气候变化情景下的土地利用变化可揭示城市发展的多模态路径，为优化土地资源再分配和可持续发展政策提供科学依据。本文基于粤港澳大湾区2010~2020年土地利用演变分析，耦合CMIP6提供的共享社会经济路径(Shared Socioeconomic Pathways

SSPs)和代表性浓度路径(Representative Concentration Pathways

RCPs)情景框架，利用Patch-generating Land Use Simulation (PLUS) 模型对2030~2050年土地利用格局进行预测。结果表明： PLUS模型对2020年土地利用的模拟总体精度为87.76%，Kappa指数为0.816，满足土地利用变化模拟的要求。2030~2050年间城市建设用地将持续增加，不同情景下的增长速率依次为SSP5.85 SSP2.45 SSP1.19；耕地、林地和水域面积将持续减少，其中在SSP5.85情景下耕地和林地减缩幅度最大。在SSP1.19情景下耕地−林地−水域系统维持较高稳定性，空间格局契合“山水林田湖草沙生命共同体”的生态理念，较好地平衡城市发展与生态保护需求。本文研究可为粤港澳大湾区国土空间优化和韧性发展的土地资源配置提供科学参考。

Abstract

Investigating land use change under future climate change scenarios is essential for revealing multimodal trajectories of urban development

which provides a scientific foundation for optimizing land resource redistribution and formulating sustainable development policies. This study analyzes the historical land use evolution in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 2010 to 2020 and couples the shared socioeconomic pathways (SSPs) and representative concentration pathways (RCPs) framework from CMIP6. Using the patch-generating land use simulation (PLUS) model

land use patterns in the GBA for the period 2030~2050 under multiple scenarios are simulated. The simulation results for 2020 achieve an overall accuracy of 87.76% and a Kappa coefficient of 0.816

indicating reliable performance for projecting future changes. The findings reveal a continuous expansion of built-up land between 2030 and 2050 across all scenarios

with the growth rate ranked as SSP5.85 SSP2.45 SSP1.19. In contrast

cultivated land

forest land

and water bodies are projected to decline

with the most substantial reductions occurring under the SSP5.85 scenario. Notably

the SSP1.19 scenario maintains relatively high stability in the structure of cultivated land

forest land

and water bodies. Its spatial configuration aligns with the concept of ‘mountains

rivers

forests

farmlands

lakes

grasslands

and deserts as a community of life’ effectively balancing urban development needs with ecological conservation. Therefore

the land resource configuration under SSP1.19 offers a scientific basis for optimizing territorial spatial planning and supporting resilient development strategies in the GBA.

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references

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