...
首页> 外文期刊>Journal of soil & sediments >Watershed sediment source identification: tools, approaches,and case studies
【24h】

Watershed sediment source identification: tools, approaches,and case studies

机译:流域沉积物来源识别:工具,方法和案例研究

获取原文
获取原文并翻译 | 示例
           

摘要

Many of us who have watched a stream turn turbid during a rainstorm have often wondered-where is all that sediment coming from? Geomorphologists, engineers, and environmental scientists have thought about this question for decades and have placed understanding sediment sources under the general framework of sediment budgets. This framework which examines not only sediment sources but the storage, transport, and delivery of sediment has been used to understand surficial processes, as well as address management concerns as they relate to stream turbidity and surface-water quality. Traditional tools used in sediment budgets have included field measurements of erosion, storage and transport rates, photogrammetric analysis, and modeling. The relationship between soil erosion and sediment yield at the watershed outlet has been long identified as a major research need (Walling 1983) and is still a poorly understood or misunderstood component of fluvial sediment transport (Kinnell 2004). In recent decades, sediment fingerprinting approaches using the geochemical and physical properties of sediment to determine sediment sources have become increasingly popular.
机译:我们中的许多人在暴雨期间看过溪流变浑浊,他们常常想知道-所有沉积物都来自哪里?地貌学家,工程师和环境科学家数十年来一直在思考这个问题,并将对沉积物来源的理解置于沉积物预算的一般框架下。该框架不仅检查沉积物来源,还检查沉积物的存储,运输和输送,已被用于了解表层过程,并解决了与河流浊度和地表水水质有关的管理问题。沉积物预算中使用的传统工具包括侵蚀的实地测量,存储和运输速率,摄影测量分析和建模。流域出口处的土壤侵蚀与沉积物产量之间的关系长期以来一直被认为是一项主要研究需求(Walling 1983),但对于河流沉积物运输的组成部分却仍然知之甚少(Kinnell 2004)。在最近的几十年中,利用沉积物的地球化学和物理特性来确定沉积物来源的沉积物指纹识别方法已经越来越流行。

著录项

  • 来源
    《Journal of soil & sediments》 |2013年第10期|1655-1657|共3页
  • 作者单位

    U.S. Geological Survey, 5522 Research Park Drive, Baltimore,MD 21228, USA;

    Institute for Sustainable Cities, City University of New York,New York, NY, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
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