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首页> 外文期刊>Environmental Monitoring and Assessment >Quantification of river bank erosion by RTK GPS monitoring: case studies along the Ningxia-Inner Mongolia reaches of the Yellow River, China
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Quantification of river bank erosion by RTK GPS monitoring: case studies along the Ningxia-Inner Mongolia reaches of the Yellow River, China

机译：RTK GPS监测对河岸侵蚀的定量分析：以宁夏-内蒙古黄河段为例

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摘要

The Ningxia-Inner Mongolia reaches of the Yellow River suffer from bank erosion problems; in order to identify the bank erosion dynamics, Real Time Kinematic Global Positioning System (RTK GPS) was applied to monitor bank morphology at three sites: Taole Cropland (TC), Maobula Shrubland (MS), and Maobula Cropland (MC). The measured data were analyzed using the Geographical Information System (GIS) to quantify the volume and amount of bank erosion. To verify the feasibility of other means quantifying bank erosion including remote sensing image interpretation and Bank-Stability and Toe-Erosion Model (BSTEM) simulation, their results were compared with the directly monitored results by RTK GPS. Results show that the bank erosion moduli at the TC, MS, and MC sites are 12,762, 6681 and 44,142tkm(-1)a(-1) respectively based on RTK GPS measurements from 2011 to 2014, with the bank erosion amount varying between flood and non-flood seasons and among different years. The bank erosion quantified by remote sensing interpretation and BSTEM simulation agreed well with results from RTK GPS measurement. The main factors that influence bank erosion on the upper reaches of the Yellow River include land use in the bank area, bank height, and bank curvature. More rational land use along the Yellow River and stabilization of the river bank are required for this area. This study shows that RTK GPS monitoring is reliable and useful for bank erosion research, which has not yet been fully exploited. There is potential of applying remote sensing and model simulation to determine bank erosion of large rivers, while they should be combined and supported by field investigated data.
机译：宁夏-内蒙古黄河段遭受河岸侵蚀问题。为了识别河岸侵蚀动态，应用实时运动全球定位系统（RTK GPS）监测了三个地点的河岸形态：陶勒农田（TC），毛布拉灌木丛（MS）和毛布拉农田（MC）。使用地理信息系统（GIS）对测得的数据进行了分析，以量化银行侵蚀的数量和数量。为了验证其他量化堤岸侵蚀的方法的可行性，包括遥感图像解释，堤岸稳定性和脚趾侵蚀模型（BSTEM）模拟，将其结果与RTK GPS的直接监测结果进行了比较。结果显示，根据2011年至2014年的RTK GPS测量结果，TC，MS和MC地点的河岸侵蚀模量分别为12,762、6681和44,142tkm（-1）a（-1），而河岸侵蚀量在洪水和非洪水季节以及不同年份之间。通过遥感解释和BSTEM模拟量化的河岸侵蚀与RTK GPS测量的结果非常吻合。影响黄河上游河岸侵蚀的主要因素包括河岸地区的土地利用，河岸高度和河岸曲率。黄河沿岸土地需要更合理的利用，河岸必须稳定。这项研究表明，RTK GPS监测对于银行侵蚀研究是可靠且有用的，但尚未得到充分利用。有可能应用遥感和模型模拟来确定大河的河岸侵蚀，而应将它们结合起来并得到实地调查数据的支持。

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  • 来源
    《Environmental Monitoring and Assessment》 |2019年第3期|140.1-140.13|共13页
  • 作者

    Zhang Zhuodong; Shu Anping; Zhang Keli; Liu Hongyuan; Wang Jing; Dai Jiabing;

  • 作者单位

    Beijing Normal Univ, Sch Geog, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Xinjiekouwai Str 19, Beijing 100875, Peoples R China;

    Beijing Normal Univ, Sch Environm, Xinjiekouwai Str 19, Beijing 100875, Peoples R China;

    Beijing Normal Univ, Sch Geog, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Xinjiekouwai Str 19, Beijing 100875, Peoples R China;

    Beijing Normal Univ, Sch Geog, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Xinjiekouwai Str 19, Beijing 100875, Peoples R China;

    Beijing Normal Univ, Sch Geog, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Xinjiekouwai Str 19, Beijing 100875, Peoples R China;

    Beijing Normal Univ, Sch Geog, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Xinjiekouwai Str 19, Beijing 100875, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Quantification; River bank erosion; RTK GPS; Ningxia-Inner Mongolia reaches; Yellow River;

    机译：定量;河岸侵蚀;RTK GPS;宁夏-内蒙古河段;黄河;

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