太阳成8722(中国)有限公司-GREEN NO.1

标题: An integrated approach of logistic-MCE-CA-Markov to predict the land use structure and their micro-spatial characteristics analysis in Wuhan metropolitan area, Central China

作者: Wang, Q (Wang, Quan); Wang, HJ (Wang, Haijun)

来源出版物: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH DOI: 10.1007/s11356-021-17750-6 提前访问日期: JAN 2022

摘要: As human interference with the natural environment accelerates, land use has undergone great changes. However, to realize rational land development in the rural-urban ecotone, the micro-spatial (MS) unit is the best scale for the management and planning of sustainable land use. Taking Wuhan metropolitan area as research area, the integrated logistic-multi-criteria evaluation (MCE)-cellular automata (CA)-Markov model was used to simulate land use pattern for 2025. In addition, the 1 kmx1 km, 2 kmx2 km, 3 kmx3 km, and 4 kmx4 km and typical sample belt were built to reveal the spatial microcosmic expression of land use structure. The results showed that the kappa coefficient and figure of merit (FoM) were 88.01% and 26.86%, respectively, indicating the integration model has high prediction accuracy. In 2005-2025, the diversification of land use in the Wuhan metropolitan area will be generally above the medium level, and the types of land combinations will be relatively abundant. As human activities increase, the land use degree will show increases continuously, it will expand outward from Wuhan, and there is a positive correlation between cultivated land-rural residential land and urban land-cultivated land. The spatial distribution of land use structure presents regional scale characteristics, and different regions have micro-spatial scale dependence. The selection of MS scales based on local conditions can be a good way to reflect land use internal structure and provide a better reference for the compilation of regional land use optimization.

作者关键词: Land use structure; Simulation; CA-Markov model; Micro-spatial; Wuhan metropolitan area

地址: [Wang, Quan; Wang, Haijun] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Wang, Haijun] Wuhan Univ, Key Lab Geog Informat Syst MOE, Wuhan 430079, Peoples R China.

通讯作者地址: Wang, HJ (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

Wang, HJ (通讯作者)，Wuhan Univ, Key Lab Geog Informat Syst MOE, Wuhan 430079, Peoples R China.

电子邮件地址: landgiswhj@163.com

影响因子：4.223