首页> 外文期刊>寒旱区科学(英文版) >Comparison of two classification methods to identify grain size fractions of aeolian sediment
【24h】

Comparison of two classification methods to identify grain size fractions of aeolian sediment

机译:两种识别风沙沉积物粒度分级方法的比较

获取原文
获取原文并翻译 | 示例
       

摘要

Grain-size class-Std (GSCStd) and Grain-size class-dD (GSCdD) methods are simple statistical approaches for classifying bulk grain-size distributions (GSDs) into grain-size fractions.Although these two methods were developed based on similar statistical principles,the classification difference between these two methods has not been analyzed.In this study,GSC-Std and GSCdD methods are conducted in thirteen grain-size data sequences to examine the applicability for identifying grain size fractions.Results show that,application of the GSCStd method is equivalent to that of the GSCdD method in identifying finer grain-size fractions,and the difference between the two methods mainly comes from the identification of coarse grain-size fractions.Thus,finer grain-size fractions are recommended for use in research of surface aeolian and paleo-aeolian sediments.In addition,our results do not completely agree with previous studies,coarser grain-size fractions in our case suggest that the GSCdD method may not be more applicable than the GSCStd method.
机译:粒度级标准(GSCStd)和粒度级dD(GSCdD)方法是将大颗粒粒度分布(GSD)分为粒度级分的简单统计方法,尽管这两种方法都是基于相似的统计方法开发的从原理上讲,这两种方法的分类差异尚未得到分析。在本研究中,对13个粒度数据序列进行了GSC-Std和GSCdD方法研究,以鉴定粒度级分的适用性。 GSCStd方法与GSCdD方法在识别更细粒度级分时的方法等效,两种方法之间的差异主要来自粗粒度级分的识别。因此,建议在研究中使用更细粒度级分此外,我们的结果与以前的研究并不完全一致,在我们的案例中,较粗的粒度级分表明,GSCdD方法od可能比GSCStd方法更适用。

著录项

  • 来源
    《寒旱区科学(英文版)》 |2018年第5期|413-420|共8页
  • 作者单位

    College of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China;

    State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing 100875,China;

    Engineering Center of Desertification and Blown-Sand Control, Ministry of Education, Beijing Normal University,Beijing 100875, China;

    State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing 100875,China;

    Engineering Center of Desertification and Blown-Sand Control, Ministry of Education, Beijing Normal University,Beijing 100875, China;

    State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing 100875,China;

    College of Geography and Environment Science, Northwest Normal University, Lanzhou, Gansu 730070, China;

    State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing 100875,China;

    Engineering Center of Desertification and Blown-Sand Control, Ministry of Education, Beijing Normal University,Beijing 100875, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-19 04:27:16
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号