标題：Rural land use spatial allocation in the semiarid loess hilly area in China: Using a Particle Swarm Optimization model equipped with multi-objective optimization techniques
作者：Liu, YL(Liu YaoLin); Liu, DF(Liu DianFeng); Liu, YF(Liu YanFang); He, JH(He JianHua); Jiao, LM(Jiao LiMin); Chen, YY(Chen YiYun); Hong, XF(Hong XiaoFeng)
來源出版物：SCIENCE CHINA-EARTH SCIENCES 卷：55 期：7 頁：1166-1177 出版年：JUL 2012
摘要：Semiarid loess hilly areas in China are enduring a series of environmental conflicts between urban expansion, cultivated land conservation, soil erosion and water shortage, and require land use allocation to reconcile these environmental conflicts. We argue that the optimized spatial allocation of rural land use can be achieved by a Particle Swarm Optimization (PSO) model in conjunction with multi-objective optimization techniques. Our study focuses on Yuzhong County of Gangsu Province in China, a typical catchment on the Loess Plateau, and proposes a land use spatial optimization model. The model maximizes land use suitability and spatial compactness based on a variety of constraints, e.g. optimal land use structure and restrictive areas, and employs an improved PSO algorithm equipped with a determinant initialization method and a dynamic weighted aggregation (DWA) method to obtain the optimized land use spatial pattern. The results suggest that (1) approximately 4% of land use should be reallocated and these changes would alleviate the environmental conflicts in the study area; (2) the major reshuffling is slope farmland and newly added construction and cultivated land, whereas the unchanged areas are largely forests and basic farmland; and (3) the PSO is capable of optimizing rural land use allocation, and the determinant initialization method and DWA can improve the performance of the PSO.
作者關鍵詞：spatial allocation; rural land use; particle swarm optimization; multi-objective optimization; Loess Plateau
擴展關鍵詞：GENETIC ALGORITHM; PLATEAU; AGRICULTURE; SELECTION; DYNAMICS
通訊作者地址：Liu, YL (通訊作者),Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China
[Liu YaoLin; Liu DianFeng; Liu YanFang; He JianHua; Jiao LiMin; Chen YiYun; Hong XiaoFeng] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China
[Liu YaoLin; Liu DianFeng; Liu YanFang; He JianHua; Jiao LiMin; Chen YiYun]Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China
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