Combining a Fuzzy Matter-Element Model with a Geographic Information System in Eco-Environmental Sensitivity and Distribution of Land Use Planning

Jing Zhang, Ke Wang, Xinming Chen and Wenjuan Zhu
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Jing Zhang: Institute of Remote Sensing & Information System Application, Zhejiang University, Hangzhou, 310029, China
Ke Wang: Institute of Remote Sensing & Information System Application, Zhejiang University, Hangzhou, 310029, China
Xinming Chen: Land Consolidation Center in Zhejiang Province, Hangzhou, 310007, China
Wenjuan Zhu: School of Geography, University of Leeds, Leeds, LS2 9JT, UK

IJERPH, 2011, vol. 8, issue 4, 1-16

Abstract: Sustainable ecological and environmental development is the basis of regional development. The sensitivity classification of the ecological environment is the premise of its spatial distribution for land use planning. In this paper, a fuzzy matter-element model and factor-overlay method were employed to analyze the ecological sensitivity in Yicheng City. Four ecological indicators, including soil condition,, water condition,, atmospheric conditions and biodiversity were used to classify the ecological sensitivity. The results were categorized into five ranks: insensitive, slightly sensitive, moderately sensitive, highly sensitive and extremely sensitive zones. The spatial distribution map of environmental sensitivity for land use planning was obtained using GIS (Geographical Information System) techniques. The results illustrated that the extremely sensitive and highly sensitive areas accounted for 14.40% and 30.12% of the total area, respectively, while the moderately sensitive and slightly sensitive areas are 25.99% and 29.49%, respectively. The results provide the theoretical foundation for land use planning by categorizing all kinds of land types in Yicheng City.

Keywords: fuzzy matter-element model; geographical information system; evaluation of eco-environmental sensitivity; Yicheng City (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2011
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