Multi-scenario analysis of land space based on PLUS and MSPA

被引:3
|
作者
Li, Mingxin [1 ]
Zhang, Zhen [2 ]
Liu, Xiangping [3 ]
Hui, Yu [2 ]
机构
[1] Tianjin Chengjian Univ, Sch Geol & Geomat, Tianjin 300384, Peoples R China
[2] Tianjin Chengjian Univ, Sch Econ & Management, Tianjin 300384, Peoples R China
[3] Changchun Univ Architecture, Sch Transportat, Changchun 130119, Peoples R China
基金
中国国家自然科学基金;
关键词
Markov-Plus model; Land space prediction; Scenario simulation; Tianjin city; SPATIAL IDENTIFICATION;
D O I
10.1007/s10661-023-11428-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Land space is an important link between human social-economic activities and the evolution of the natural environment. Its changes can directly reflect the transformation process of mankind's activities on the surface system, and it is a core element of the study of global environmental change. In the research, based on the "three districts and three lines" classification method of national land spatial, the urban space, agricultural space, and ecological space of Tianjin were divided. Natural trend, economic development, cultivated land protection, and ecological priority were set as four simulation scenarios, which were predicted by the Markov-Plus model for the spatial pattern of national land in 2030. Data statistics and the MSPA model were used to quantitatively analyze Tianjin's future land space from two aspects of structure and pattern. The main conclusions were as follows: (1) The overall accuracy of the simulation results of the Markov-Plus model was 0.971, and its kappa value was 0.948. The simulation accuracy was relatively high, which provides a reference for future spatial simulation prediction in this area. (2) In different simulation scenarios, the changing trend of Tianjin's land space scale from 2020 to 2030 was that urban space continues to increase, while agricultural space and ecological space decrease successively. (3) Each simulation scenario achieves good results for spatial prediction under the condition of setting limiting factors. In the natural trend scenario, the spatial variability of the types is more complex, the boundaries are more fragmented, and the spatial reference value of the territory is lower.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Land Use Dynamic Changes in an Arid Inland River Basin Based on Multi-Scenario Simulation
    Hou, Yifeng
    Chen, Yaning
    Li, Zhi
    Li, Yupeng
    Sun, Fan
    Zhang, Shuai
    Wang, Chuan
    Feng, Meiqing
    REMOTE SENSING, 2022, 14 (12)
  • [22] Multi-Scenario Simulation of Land Use and Landscape Ecological Risk Response Based on Planning Control
    Wang, Nan
    Zhu, Peijuan
    Zhou, Guohua
    Xing, Xudong
    Zhang, Yong
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (21)
  • [23] Impacts of land use change on ecosystem services in the intensive agricultural area of North China based on Multi-scenario analysis
    Sun, Qian
    Qi, Wei
    Yu, Xinyang
    ALEXANDRIA ENGINEERING JOURNAL, 2021, 60 (01) : 1703 - 1716
  • [24] Land use assessment under dynamic evolution: Multi-objective optimization and multi-scenario simulation analysis
    Yang, Dan
    Zhang, Pengyan
    Zhang, Jinbing
    Liu, Yu
    Liu, Zhenyue
    Chen, Zhuo
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2025, 373
  • [25] Multi-scenario simulation and eco-environmental effect analysis of "Production-Living-Ecological space" based on PLUS model: A case study of Anyang City
    Li, Lei
    Li, Genming
    Ji, Guangxing
    Li, Qingsong
    Zhang, Zhihao
    Chen, Weiqiang
    OPEN GEOSCIENCES, 2025, 17 (01):
  • [26] Analysis of Breathing Rate in a Multi-Scenario Driving Acquisition
    Andonie, Adara
    Parsi, Ashkan
    Elrasad, Amr
    Lemley, Joseph
    2023 27TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION, IV, 2023, : 272 - 277
  • [27] Leveraging Modal Analysis for Multi-scenario Power System
    Rodriguez, Gabriel
    Oscullo, Jose
    INTELLIGENT TECHNOLOGIES: DESIGN AND APPLICATIONS FOR SOCIETY, CITIS 2022, 2023, 607 : 204 - 213
  • [28] Multi-scenario cascading failure analysis using TRELSS
    Hardiman, RC
    Kumbale, M
    Makarov, YV
    QUALITY AND SECURITY OF ELECTRIC POWER DELIVERY SYSTEMS, 2003, : 176 - 180
  • [29] Simulating the Sustainable Impact of Land Use Change on Carbon Emissions in the Upper Yellow River of Gannan: A Multi-Scenario Perspective Based on the PLUS Model
    Zhao, Yu-Chen
    Tian, Yuan
    Zhang, Qi-Peng
    Jiang, Li-Yan
    Wang, Qian
    SUSTAINABILITY, 2024, 16 (13)
  • [30] Multi-scenario Modelling of Learning
    Mbatchou, Guy Merlin
    Bouchet, Francois
    Carron, Thibault
    INNOVATIONS AND INTERDISCIPLINARY SOLUTIONS FOR UNDERSERVED AREAS, INTERSOL 2018, 2018, 249 : 199 - 211