Simulation of Regional Territorial Spatial Patterns Based on Major Function-Oriented Zoning and FLUS-Markov Model -A Case Study at Fuzhou Metropolitan Area
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Simulation of Regional Territorial Spatial Patterns Based on Major Function-Oriented Zoning and FLUS-Markov Model -A Case Study at Fuzhou Metropolitan Area
Bulletin of Soiland Water ConservationVol. 42, Issue 6, Pages: 155-165(2022)
Xu Chongmin, Chen Jin, Zhang Ludan, et al. Simulation of Regional Territorial Spatial Patterns Based on Major Function-Oriented Zoning and FLUS-Markov Model -A Case Study at Fuzhou Metropolitan Area[J]. Bulletin of Soiland Water Conservation, 2022, 42(6): 155-165.
DOI:
Xu Chongmin, Chen Jin, Zhang Ludan, et al. Simulation of Regional Territorial Spatial Patterns Based on Major Function-Oriented Zoning and FLUS-Markov Model -A Case Study at Fuzhou Metropolitan Area[J]. Bulletin of Soiland Water Conservation, 2022, 42(6): 155-165. DOI: 10.13961/j.cnki.stbctb.2022.06.020.
Simulation of Regional Territorial Spatial Patterns Based on Major Function-Oriented Zoning and FLUS-Markov Model -A Case Study at Fuzhou Metropolitan Area
[Objective] The spatial distribution of land use/cover types of different major function-oriented zoning (MFOZ) areas in the Fuzhou metropolitan area in 2030 was simulated
and the future development trend of the land spatial patterns was predicted. [Methods] Based on multi-source data such as DEM and land use/cover
road network
nighttime light images and meteorological data
the FLUS-Markov model was used to predict and compare the land use/cover structure of the metropolitan area in 2030 based on zoning simulation and overall simulation in order to explore differences in the spatial and temporal change intensity of land use/cover of MFOZ. [Results] ① In 2020
the kappa coefficients of the simulation results of MFOZ in the Fuzhou metropolitan area were all above 0.85
indicating that the combination of key parameters in the model could effectively simulate the spatial distribution pattern of land use/cover in different functional areas; ② Compared with the overall simulation
the better indication of single land use dynamic degree
comprehensive land use dynamic degree and land use degree in zoning results showed that
the zoning simulation was more suitable for future regional land use/cover planning. [Conclusion] The zoning simulation results of the Fuzhou metropolitan area in 2030 were more consistent with the development goals of MFOZ. Therefore
the future regional land use planning could be worked out combined with the development characteristics of MFOZ to propose the key directions of economic development and ecological protection in each region.
Peng Kaifeng, Jiang Weiguo, Deng Yue, et al. Simulating wetland changes under different scenarios based on integrating the random forest and CLUE-S models:A case study of Wuhan urban agglomeration[J]. Ecological Indicators, 2020,117:106671.
Yang Xin, Zheng Xinqi, Chen Rui. A land use change model:Integrating landscape pattern indexes and Markov-CA[J]. Ecological Modelling, 2014,283:1-7.
Jawarneh R N. Modeling past, present, and future urban growth impacts on primary agricultural land in Greater Irbid Municipality, Jordan using SLEUTH (1972-2050)[J]. ISPRS International Journal of Geo-Information, 2021,10(4):212-222.
Liu Xiaoping, Liang Xun, Li Xia, et al. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects[J]. Landscape and Urban Planning, 2017,168:94-116.
Chen Zuoqi, Yu Bailang, Yang Chengshu, et al. An extended time series (2000-2018) of global NPP-VIIRS-Like nighttime light data from a cross-sensor calibration[J]. Earth System Science Data, 2021,13(3):889-906.
Liang Xun, Liu Xiaoping, Li Xia, et al. Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method[J]. Landscape and Urban Planning, 2018,177:47-63.
Aneesha S B, Shashi M, Deva P. Future land use land cover scenario simulation using open source GIS for the city of Warangal, Telangana, India[J]. Applied geomatics, 2020,12(3):281-290.