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中国沙漠 ›› 2005, Vol. 25 ›› Issue (1): 20-26.

• 研究论文 • 上一篇    下一篇

共和盆地龙羊峡库区1987—1999年间土地覆被变化过程

沙占江1,2, 马海州1, 李玲琴2, 周笃君1, 曹广超1,2, 欧立业1, 杨海镇2   

  1. 1.中国科学院 青海盐湖研究所, 青海 西宁  810008;
    2.青海师范大学 地理与资源环境科学系, 青海 西宁  810008
  • 收稿日期:2003-09-12 修回日期:2004-07-12 出版日期:2005-01-20 发布日期:2004-07-12

Landuse and Landcover Changing Course in Longyangxia Reservoir Region of Gonghe Basin from 1987 to 1999

SHA Zhan-jiang1,2, MA Hai-zhou1, LI Ling-qin2, ZHOU Du-jun1, CAO Guang-chao1,2, OU Li-ye1, YANG Hai-zheng2   

  1. 1.Qinghai Institute of Salt Lake, Chinese Academy of Sciences, Xining 810008, China;
    2.Department of Resources and Environment Sciences, Qinghai Normal University, Xining 810008, China
  • Received:2003-09-12 Revised:2004-07-12 Online:2005-01-20 Published:2004-07-12

摘要: 利用多时相多光谱遥感数据,针对研究区环境特点及已有研究程度,综合最大似然法监督分类、基于地理知识的多尺度空间分层聚类的部分监督分类方法和主成分方法,分析了位于黄河上游的龙羊峡水库库区1987—1999年间土地利用和覆盖变化过程。结果表明:①库区土地利用与土地覆盖总趋势是土地退化、覆盖度降低,此期间各盖度草场面积共减少500.82 km2,年均减少41.73 km2,其中高盖度草场退化最为严重,13 a间来面积减少361.25 km2,年均减少30.10 km2;土地沙漠化发展速度很快,13 a间沙地面积增加了219.81 km2,年均增加18.32 km2。②库区草场退化,土地沙漠化日趋严重,高盖度草场退化为中盖度草场的面积为70.29 km2,沙漠化面积为60.96 km2;中盖度草场退化为低盖度草场的面积为34.31 km2,沙漠化面积为80.75 km2;低盖度草场退化为沙地的面积为76.50 km2。③库区土地利用、土地覆盖变化在地域空间上具有较大差异性,土地利用、土地覆盖变化最为显著、强烈的区域为黄河西岸的塔拉滩,草场总面积减少215.43 km2,占全区草场退化量的43%;水浇地面积增加32.50 km2,是全区内水浇地面积增幅最大的区域,占全区水浇地增加量的51%;沙地面积扩大158.41 km2,年均增长率为13.2%。河卡滩土地利用类型变化幅度是全区最小的,有些类型基本没有发生变化。分析库区土地利用、土地覆盖变化的主要因素在于自然因素,但从局部区域来看,人为因素在环境变化中起着主导性作用。

关键词: 土地利用, 土地覆被,  , 动态变化, 遥感, 共和盆地

Abstract: The Longyangxia reservoir is the largest hydraulic power and water conservancy project in all that have been constructed at upstream of the Yellow river. The reservoir integrated hydraulic power application with farm irrigation and flood control. Thus, the eco-environment change of the region around Longyangxia reservoir was paid great concern to, especially to the landuse/landcover, the sand quantity into reservoir, land desertification, grass land degradation and so on.Based on multi-spectral and multi-temporal TM and ETM+ data, the changing process of landuse/landcover in the Longyangxia reservoir region from 1987 to 1999 was analyzed by integrating the SSHC(scale-space based Hierarchical clustering algorithm)method, MLS(maximum likelihood supervise) method and PCA(principal component analysis) method. The result shows that: ①There was a trend of land degrading and landcover reducing. During the 12 years the total decrease of grassland area was 500.82 km2,averaged by 41.73 km2 annually. Among the decreased grasslands the grassland ever with high coverage degraded severely, with 361.25 km2 decrease in 12 years and 30.10 km2 annually. The developing speed of land desertification was very quickly in the past 12 years, the net increase of sandy land was 219.81 km2, averaged by 18.32 km2 annually. ②The grassland was gradually degraded and land was desertified very severely in the Longyangxia reservoir region from 1987 to 1999. The degraded area from high-cover grassland to middle-cover grassland was 70.29 km2,that to desertification land was 60.96 km2;The degraded area from middle-cover grassland to low-cover grassland was 34.31 km2,that to desertification land was 80.75 km2; The degraded area from low-cover grassland to desertification land was 76.50 km2. ③There was much difference of landuse/landcover change in space around the reservoir region. The most obviously and intensively changed area located in the Talatan at western bank of the Yellow river, where the net grassland decrease area was 215.43 km2,accounting for 43% of the total decrease in all region; the irrigated cropland increased by 32.50 km2, accounting for 51% of the total; the desertified land area increased by 158.41 km2, corresponding to 13.2% annually. The landuse/landcover change in the Hekatan was the least, and several types did not change almost. Natural factor is generally the primary factor that influence the landuse/landcover of the reservoir region, however, human being factor plays important role in local environment change.

Key words: landuse, landcover, dynamic change, remote sensing, Gonghe basin

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