PDF Download

[1]YAN Tie-ping,LIAO Wei,LI Lu,et al.Optimization of Land Use Structure and Spatial Pattern for the Danjiangkou Reservoir Area[J].Research of Soil and Water Conservation,2012,19(01):11-15.

Copy

Optimization of Land Use Structure and Spatial Pattern for the Danjiangkou Reservoir Area

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 19 Number of periods: 2012 01 Page number: 11-15 Column: Public date: 2012-02-20

Title:: Optimization of Land Use Structure and Spatial Pattern for the Danjiangkou Reservoir Area

Author(s):: YAN Tie-ping¹, LIAO Wei¹, LI Lu², SHI Zhi-hua³; 1. The Center of Soil and Water Conservation Monitoring, Hubei Province, Wuhan 430071, China;
2. Hubei Water Resources Research Institute, Wuhan 430070, China;
3. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Yangling, Shaanxi 712100, China

Keywords:: land-use change; Markov prediction model; cellular automata model; Danjiangkou reservoir area

CLC:: F301.2

DOI:: -

Abstract:: The Danjiangkou reservoir lies in the upper Hanjiang Basin and is the source of water for the Middle Route Project (MRP) under the South-to-North Water Transfer Scheme (SNWT) in China. The situation of eco-environment and the water quality security of the Danjiangkou Reservoir Area (DRA) play important roles in local coordinated development of economic and social development and environmental protection and would determine whether the MRP will succeed or not. The scientific and quantitative assessment and optimization of land use structure and spatial pattern is significant to the sustainable development of the DRA. This study aimed to predict land-use change trend of Danjiangkou reservoir area in 2020 by Markov prediction model and cellular automata model, in the support of the RS and GIS and based on the TM remote sensing data of Danjiangkou reservoir area during 1990 and 2007. The predicted results of the land use amount are acquired dynamically by the Markov prediction model, and with the total land of demand from a macroscopic viewpoint and the dynamic balance of land supply from a microscopic viewpoint as the principle, the distribution of land-use is achieved by Cellular Automata model. The results showed that in the period of these seventeen years from 1990 to 2007, great changes have taken place on the land use types in the study area, which was mainly characterized as the greatly increased forest, shrub and residential area and the greatly decreased farmland. In the 2020, by optimal allocation, the area of the croplands and unutilized land decrease rapidly, and the proportion of the forest land area and garden area increase accordingly, which healthily promote the development of eco-environment. The results showed that CA-Markov model make the fullest use of the simulating capability to space changes of complex system of CA model and the advantage of long-term prediction of Markov model, which would provide an important reference to reveal the dynamic mechanism of land-use change.

References:: [1] Foley J A, De Fries R, Asner G P, et al. Global consequences of land use[J]. Science, 2005, 309:570-574.
[2] Pielke Sr R A. Land use and climate change[J]. Science, 2005, 310:1625-1626.
[3] 王枫, 叶长盛.广州市土地利用与生态环境协调发展评价研究[J].水土保持研究, 2011, 18 (3):238-242, 246.
[4] 李秀彬.全球环境变化研究的核心领域:土地利用/覆被变化的国际研究动向[J].地理学报, 1996, 51 (6):553-558.
[5] 张华, 张勃.国际土地利用/覆盖变化模型研究综述[J].自然资源学报, 2005, 20 (3):422-431.
[6] Gao Q Z, Kang M Y, Xu H M, et al. Optimization of land use structure and spatial pattern for the semi-arid loess hilly-gully region in China[J]. Catena, 2010, 81 (3):196-202.
[7] Lopez E, Bocco G, Mendoz M, et al. Predicting land-cover and land-use change in the urban fringe:A case in Morelia city, Mexico[J]. Landscape and Urban Planning, 2001, 55:271-285.
[8] Zang S Y, Xi H. An aggregated multivariate regression land-use model and its application to land-use change processes in the Daqing region[J]. Ecological Modelling, 2006, 193:503-516.
[9] 张鸿辉, 曾永年, 谭荣一, 等.多智能体区域土地利用优化配置模型及其应用[J].地理学报, 2011, 66 (7):972-984.
[10] 苏伟陈云浩, 武永峰, 等.生态安全条件下的土地利用格局优化模拟研究:以中国北方农牧交错带为例[J].自然科学进展, 2006, 16 (2):207-214
[11] Ward D P, Murray A T. An optimized cellular automata approach for sustainable urban development in rapidly urbanizing regions[J]. International Journal of Geographical Information Science, 1999, 7 (5):235-250.
[12] 熊利亚, 常斌, 周相广.基于地理元胞自动机的土地利用变化研究[J].资源科学, 2005, 27 (4):38-43.
[13] Peterson L K, Bergen K M, Brown D G, et al. Forested land-cover patterns and trends over changing forest management eras in the Siberian Baikal region[J]. Forest Ecology and Management, 2009, 57:911-922.
[14] 张全发, 苏荣辉, 江明喜, 等.南水北调工程及其生态安全:优先研究领域[J].长江流域资源与环境, 2007, 16 (2):217-221.
[15] 李璐, 史志华, 朱惇, 等.南水北调中线水源区森林覆盖变化及其影响因子分析[J].自然资源学报, 2009, 24 (6):1049-1057.
[16] 沈泽昊, 张全发, 岳超, 等.南水北调中线水源区土地利用/土地覆被的空间格局[J].地理学报, 2006, 61 (6):633-644.
[17] Congalton R, Oderwald R, Mead R. Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques[J]. Photogrammetric Engineering and Remote Sensing, 1983, 49:1671-1678.
[18] 唐华俊, 吴文斌, 杨鹏, 等.土地利用/土地覆被变化 (LUCC) 模型研究进展[J].地理学报, 2009, 64 (4):456-468.
[19] Clarke K C, Gaydos L J. Loose-couplong a Cellular Automaton Model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore[J]. Journal of International Geographical Information Science, 1998, 12 (7):699-714.
[20] 王玲玲, 胡歌鸣, 董威.基于生态足迹的丹江口库区生态承载力分析[J].环境科学与技术, 2011, 34 (6):292-297.

Similar References:

Memo

Last Update: 1900-01-01