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Li-Yang Xiong Guo-An Tang Ye-Qing Qian 《International journal of geographical information science》2017,31(2):387-404
Residual upland planation surfaces serve as strong evidence of peneplains during long intervals of base-level stability in the peneplanation process. Multi-stage planation surfaces could aid the calculation of uplift rates and the reconstruction of upland plateau evolution. However, most planation surfaces have been damaged by crustal uplift, tectonic deformation, and surface erosion, thus increasing the difficulty in automatically identifying residual planation surfaces. This study proposes a peak-cluster assessment method for the automatic identification of potential upland planation surfaces. It consists of two steps: peak extraction and peak-cluster characterization. Three critical parameters, namely, landform planation index (LPI), peak elevation standard deviation, and peak density, are employed to assess peak clusters. The proposed method is applied and validated in five case areas in the Tibetan Plateau using a Shuttle Radar Topography Mission digital elevation model (SRTM DEM) with 3 arc-second resolution. Results show that the proposed method can effectively extract potential planation surfaces, which are found to be stable with different resolutions of DEM data. A significant planation characteristic can be obtained in the relatively flat areas of the Gangdise–Nyainqentanglha Mountains and Qaidam Basin. Several vestiges of potential former planation areas are also extracted in the hilly-gully areas of the western part of the Himalaya Mountains, the northern part of the Tangula–Hengduan Mountains, and the northeastern part of the Kunlun–Qinling Mountains despite the absence of significant topographical features characterized by low slope angles or low terrain reliefs. Vestiges of planation surfaces are also identified in these hilly-gully upland areas. Hence, the proposed method can be effectively used to extract potential upland planation surfaces not only in flat areas but also in hilly-gully areas. 相似文献
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中国粮食生产的区域格局变化及东北商品粮基地的响应 总被引：58，自引：7，他引：51
依据近10年的统计数据和实地调研资料,运用区域差异分析方法,对中国粮食生产的区域格局变化特征及其规律进行探讨,研究表明:中国粮食产量总体呈增长态势,年均增长率为3.43%;粮食生产重心进一步由南方向北方和由东部向中部推移,北方和中部地区成为新的增长中心;粮食生产地域变化的差异明显,南北绝对差异和相对差异变化较大,八大产区和省区间变化较小。农业生产条件、技术、宏观经济环境和土地利用方式变化是粮食生产地域格局变化的主要原因。东北作为国家粮食安全战略性基地,应对全国粮食生产的地域变化趋势,必须加强商品粮基地建设。通过农业生态环境建设、农业结构调整、商品粮基地空间布局优化等举措,促进粮食生产,保障国家粮食安全。 相似文献
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采用气相色谱(GC-FID)检测技术,对杭州城区水体以及黄颡鱼(Pelteobagrus vachelli)肌肉和脑等可食性组织中5种PAEs类化合物进行检测,确定杭州城区水体中PAEs分布特征,并分析了PAEs在黄颡鱼肌肉和脑中含量随时间动态变化规律。研究结果表明,杭州城区水体中5种PAEs化合物含量均较高,但每种化合物含量差异较大,其中DEHP含量在不同水域中含量均最高。黄颡鱼体内残留检测结果显示,5种PAEs类化合物在黄颡鱼肌肉和脑等可食性组织中均有分布,其中脑和肌肉中的消除半衰期处于17.33—32.54h之间。结果表明,PAEs在杭州城区不同水体中广泛分布,在鱼体肌肉和脑等可食性组织中消除较缓慢。 相似文献
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Acta Geotechnica - Compacted Gaomiaozi bentonite–sand mixtures are regarded as attractive buffer/backfill materials for nuclear waste deep geological disposal. When the mixture blocks are... 相似文献
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