ITPCAS OpenIR  > 图书馆
Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models
Hu, XL (Hu, Xiaoli)1; Li, X (Li, Xin)2,3,4; Lu, L (Lu, Ling)1
Source PublicationSUSTAINABILITY
2018-08-01
Volume10Issue:8Pages:2878
DOI10.3390/su10082878
Abstract

Land use and land cover change (LUCC) is an important issue in global environmental change and sustainable development, yet spatial simulation of LUCC remains challenging due to the land use system complexity. The cellular automata (CA) model plays a crucial role in simulating LUCC processes due to its powerful spatial computing power; however, the majority of current LUCC CA models are binary-state models that cannot provide more general information about the overall spatial pattern of LUCC. Moreover, the current LUCC CA models rarely consider background artificial irrigation in arid regions. Here, a multiple logistic-regression-based Markov cellular automata (MLRMCA) model and a multiple artificial-neural-network-based Markov cellular automata (MANNMCA) model were developed and applied to simulate complex land use evolutionary processes in an arid region oasis (Zhangye Oasis), constrained by water resources and environmental policy change, during the period 2000-2011. Results indicated that the MANNMCA model was superior to the MLRMCA model in simulated accuracy. Furthermore, combining the artificial neural network with CA more effectively captured the complex relationships between LUCC and a set of spatial driving variables. Although the MLRMCA model also showed some advantages, the MANNMCA model was more appropriate for simulating complex land use dynamics. The two integrated models were reliable, and could reflect the spatial evolution of regional LUCC. These models also have potential implications for land use planning and sustainable development in arid regions.

WOS IDWOS:000446767700294
Language英语
Indexed BySCIE
KeywordScenario Simulation Cover Change River-basin China Gis Integration Calibration System
WOS Research AreaScience & Technology - Other Topics ; Environmental Sciences & Ecology
WOS SubjectGreen & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
Cooperation Status国内
ISSN2071-1050
Department大数据中心
PublisherMDPI
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8574
Collection图书馆
Corresponding AuthorLi, X (Li, Xin)
Affiliation1.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Remote Sensing Gansu Prov, 320 West Donggang Rd, Lanzhou 730000, Gansu, Peoples R China;
2.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China;
3.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100049, Peoples R China;
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
Recommended Citation
GB/T 7714
Hu, XL ,Li, X ,Lu, L . Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models[J]. SUSTAINABILITY,2018,10(8):2878.
APA Hu, XL ,Li, X ,&Lu, L .(2018).Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models.SUSTAINABILITY,10(8),2878.
MLA Hu, XL ,et al."Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models".SUSTAINABILITY 10.8(2018):2878.
Files in This Item:
File Name/Size DocType Version Access License
2018111.pdf(2823KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Hu, XL (Hu, Xiaoli)]'s Articles
[Li, X (Li, Xin)]'s Articles
[Lu, L (Lu, Ling)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Hu, XL (Hu, Xiaoli)]'s Articles
[Li, X (Li, Xin)]'s Articles
[Lu, L (Lu, Ling)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Hu, XL (Hu, Xiaoli)]'s Articles
[Li, X (Li, Xin)]'s Articles
[Lu, L (Lu, Ling)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2018111.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.