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中国沙漠 ›› 2009, Vol. 29 ›› Issue (5): 802-807.

• 沙漠与沙漠化 • 上一篇    下一篇

基于元胞自动机民勤绿洲湖区荒漠化演化预测

宋冬梅1, 吴远龙1, 张志诚2, 王 建3, 李小玉4   

  1. 1.中国石油大学 地球资源与信息学院, 山东 青岛 266555; 2.中国动物卫生与流行病学中心, 山东 青岛 266032; 3.中国科学院 寒区旱区环境与工程研究所, 甘肃 兰州 730000; 4.中国科学院 沈阳应用生态研究所, 辽宁 沈阳 110016
  • 收稿日期:2008-12-10 修回日期:2009-01-16 出版日期:2009-09-07 发布日期:2009-09-07

Desertification Evolution Prediction for Lake Area of Minqin Oasis Based on Integration of GIS and Cellular Automata

SONG Dong-mei1, WU Yuan-long1, ZHANG Zhi-cheng2, WANG Jian3, LI Xiao-yu4   

  1. 1.College of Earth Resource and Information, China Petroleum University, Qingdao 266555, Shandong, China; 2.China Animal Health & Epidemiology Center, Qingdao 266032, Shandong, China; 3.Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China; 4.Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
  • Received:2008-12-10 Revised:2009-01-16 Online:2009-09-07 Published:2009-09-07

摘要: 民勤湖区是民勤绿洲中生态环境最为恶劣的地区,土地荒漠化问题十分突出。以民勤绿洲湖区为例,解译1992年、1998年、2002年和2006年TM卫星影像,分析其荒漠化动态变化情况,利用ArcObjects模块结合地理元胞自动机理论构造荒漠化动态模拟模型,通过对比2006年的预测数据与实际数据,对模型进行参数调整和预测检验。预测结果表明,模型预测的准确性达到90%。最后对2012年该区土地利用状况做出预测,进而对荒漠化的发展趋势进行预测分析。

关键词: 荒漠化, 元胞自动机, 蒙特卡罗方法, ArcObjects模块, 民勤绿洲

Abstract: The ecological environment in the Lake area is the worst among Minqin oasis, where the groundwater level drops year by year, but its mineralization degree rises year by year. These have resulted in desertification getting more and more serious. The TM remote images in 1992, 1998, 2002 and 2006 over the Lake area of the Minqin oasis were interpreted to analyze the desertification evolution. Through the combination of ArcObjects module and Cellular Automata Model, a model simulating the desertification dynamics was set up. The forecasting accuracy of this model can reach 90%. In comparison of the predicted data with the actual ones, the parameters of this Cellular Automata Model were adjusted. The desertification situation in 2012 was forecasted by this model. The results showed that, from 2006 to 2012, the green land area will reduce 999.92 hm2, the desertification land area reduce 3 000.68 hm2, and sand land area will increase 4 000.6 hm2. The sand land will be more widespread, and 18% sand land will distribute in the middle of green land of the Lake area. Namely, more and more abandoned land in the green land will be transformed into sand land. As a result, this will intensify the desertification degree.

Key words: desertification, Cellular Automata Model, Monte Carlo method, ArcObjects, lake area of Minqin oasis

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