Interregional Farmland Layout Optimization Model Based on the Partition Asynchronous Cellular Automata: A Case Study of the Wuhan City Circle
Received date: 2010-01-01
Revised date: 2010-07-01
Online published: 2010-11-25
Taking Wuhan City Circle as a case, this paper discussed the application of the regional partition asynchronous cellular automata model in the layout optimization of cultivated lands according to the regional heterogeneity of the socio-economic development in the counties in the Wuhan City Circle. The model determined the asynchronous evolution rate according to the construction land demand priority of the counties, set up the regional conversion rules according to the laws of land use change, food self supporting capacity and satisfied degree of construction land demand of the counties, and determined the overall and regional ultimate arrangements according to the food safety of the whole region and the construction land demand of each county, so as to realize the layout optimization of cultivated land use of the Wuhan City Circle in 2020. The optimization result indicates that the total quantity of the cultivated land in the Wuhan City Circle can meet the demands of the food safety of the whole region. The construction land demand can be met in the regions with higher construction land demand priority degrees, including the districts in Huangpi District, Yingcheng City, Xinzhou District, Hanyang District, Qianjinag City, Huanggang City, Ezhou City, Xiaogan City, Wuchang District, Xiantao City, Huangmei county, Wuxue City, Yangxi County, Xianning City and Chibi City. The construction land demand priority degree is relatively low in Tuanfeng and Tongcheng counties, but the construction land demand is smaller, and thus the construction land demand can also be met in these regions. In other counties (or cities, districts), the construction land demand is not fully met due to the conflicts between the construction land demand and the construction land demand priority degree. The result indicates that the regional cultivated land layout optimization based on the partition asynchronous cellular automata model. which considers the heterogeneity of demand for construction land on the basis of cultivated land protection and food safety of the whole region, can coordinate the relations between food safety and economic development and set up a reasonable configuration of construction land layout and cultivated land protection.
KE Xingli, DENG Xiangzheng, LIU Chengwu . Interregional Farmland Layout Optimization Model Based on the Partition Asynchronous Cellular Automata: A Case Study of the Wuhan City Circle[J]. PROGRESS IN GEOGRAPHY, 2010 , 29(11) : 1442 -1450 . DOI: 10.11820/dlkxjz.2010.11.044
[1] 陈江龙, 曲福田, 陈雯. 农地非农化效率的空间差异及 其对土地利用政策调整的启示. 管理世界, 2008(8): 37-42.
[2] Sante-Riveira I, Crecente-Maseda R, Miranda-Barros D. GIS-based planning support system for rural land-use allocation. Computers and Electronics in Agriculture, 2008, 63(2): 257-273.
[3] Carsjens G J, van der Knaap W. Strategic land-use allocation: Dealing with spatial relationships and fragmentation of agriculture. Landscape and Urban Planning, 2002, 58 (2-4):171-179.
[4] Eldrandaly K. A GEP-based spatial decision support system for multisite land use allocation. Applied Soft Computing, 2010, 10(3): 694-702.
[5] Wang X H, Sheng Y, Huang G H. Land allocation based on integrated GIS-optimization modeling at a watershed level. Landscape and Urban Planning, 2004, 66(2): 61-74.
[6] Chuvieco E. Integration of linear programming and GIS for land use modeling. International Journal of Geographical Information System, 1993, 7(1):3-19.
[7] Ren F H. A training model for GIS application in land resource allocation. ISPRS Photogrammetry and remote sensing, 1997, 52(6): 261-265.
[8] 周宗丽, 宁大同, 杨志峰. 三峡库区秭归县土地资源优 化配置. 北京师范大学学报: 自然科学版, 1999, 35(4): 536-541.
[9] 戴金华, 赵筱青. 基于灰色线性规划的土地利用结构优 化: 以云南省澜沧县为例. 云南地理环境研究, 2009, 21 (3): 26-31.
[10] 王爱萍, 郑新奇. 基于SD的土地利用总体规划: 以无棣 县为例. 山东师范大学学报: 自然科学版, 2001, 16(3): 437-442.
[11] 郑新奇, 阎弘文, 徐宗波. 基于GIS的无棣县耕地优化配 置. 国土资源遥感, 2001, 48(2): 53-56.
[12] 黄春芳, 王三. 基于建设用地需求优先度的耕地指标分 配研究: 以重庆市北碚区为例. 安徽农业科学, 2008, 36 (30):13430-13432.
[13] 柯新利. 改进熵权系数法在基本农田指标分解中的应 用. 湖北农业科学, 2008, 47(7): 779-782.
[14] 黎夏, 叶嘉安, 刘小平, 等. 地理模拟系统：元胞自动机 与多智能体. 北京: 科学出版社, 2007.
[15] 龙瀛, 韩昊英, 毛其智. 利用约束性CA制定城市增长边 界. 地理学报, 2009, 64(8): 999-1008.
[16] 卢远, 莫建飞, 韦亮英. 生态约束性城市扩展模型与应 用分析: 以南宁市区为例. 地球信息科学, 2008,10(6): 710-715.
[17] 陈志强, 陈健飞. 福州城市用地变化的CA模型动态模 拟研究. 地球信息科学, 2007, 9(2): 70-73.
[18] Batty M, Xie Y C, Sun Z L. Modeling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems, 1999, 23(3): 205-233.
[19] Almeida C M D, Batty M, Monteiro AM V, et al. Stochastic cellular automata modeling of urban land use dynamics. Computer, Environment and Urban Systems, 2003, 27 (5): 481-509.
[20] 中国科学院地理科学与资源研究所“武汉城市圈总体规划”课题组. 武汉城市圈总体规划(2005-2020 年)总报 告, 2005.
[21] 湖北省统计局. 湖北省统计年鉴(2001-2009). 北京: 中 国统计出版社.
[22] 黎夏, 叶嘉安, 刘小平, 等. 地理模拟系统: 元胞自动机 与多智能体. 北京: 科学出版社, 2007.
[23] 柯新利. 分区异步元胞自动机模型及其尺度敏感性分 析
[D]. 武汉: 武汉大学, 2009.
[24] 柯新利, 边馥苓. 基于C5.0 决策树算法的元胞自动机土 地利用变化模拟模型. 长江流域资源与环境, 2010, 19 (4): 403-409.
[25] 杨丽霞, 杨桂山, 苑韶峰. 数学模型在人口预测中的应 用: 以江苏省为例. 长江流域资源与环境, 2006, 15(3): 287-291
[26] 梅方权. 2020 年中国粮食的发展目标分析. 中国食物与 营养, 2009(2): 4-8.
/
| 〈 |
|
〉 |