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Investigation of correlation between remotely sensed impervious surfaces and chloride concentrations

机译:遥感不透水表面与氯化物浓度之间的相关性研究

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摘要

The main objective of this study is to verify the often assumed correlation between impervious surfaces and chlorides that result from the application of road salts, focusing on a case study in the selected six major watersheds within the Greater Toronto Area. Landsat-5 Thematic Mapper images collected in 1990, 1995, 2000, and 2005 and the unsupervised classification technique were utilized in the estimation of percentage imperviousness for each watershed. Chloride concentrations collected at water quality monitoring stations within the watersheds were then mapped against impervious surface estimates and their spatiotemporal distribution was assessed. The remotely sensed impervious surface maps and chloride maps were overlaid in a geographical information system environment for the investigation of their potential correlation. The main findings of this study indicate an average of 12.9% increase in impervious surface areas as well as a threefold increase in chloride concentrations between 1990 and 2005. Water quality monitoring stations exhibiting the highest amounts of chloride concentration correspond with the most impervious parts of the watersheds. The results also show that the increase in imperviousness does generate higher chloride concentrations. Correspondingly, the higher levels of chloride can potentially degrade the quality of surface waters. Through developing a novel integrated remote-sensing approach, the study was successful in identifying areas most vulnerable to surface water quality degradation by road salts.
机译:这项研究的主要目的是验证不透水的表面和使用路盐所产生的氯化物之间的通常假定的相关性,重点是对大多伦多地区内选定的六个主要流域的案例研究。 1990、1995、2000和2005年收集的Landsat-5专题Mapper图像和无监督分类技术被用于估计每个流域的不透水百分比。然后将流域内水质监测站收集的氯化物浓度与不透水的地面估计值作图,并评估其时空分布。将遥感的不透水表面地图和氯化物地图覆盖在地理信息系统环境中,以研究其潜在的相关性。这项研究的主要发现表明,在1990年至2005年之间,不透水表面积平均增加了12.9%,氯化物浓度增加了三倍。水质监测站的氯化物浓度最高,对应于该地区最不透水的部分。分水岭。结果还表明,不渗透性的增加确实产生了更高的氯化物浓度。相应地,较高的氯化物含量可能会降低地表水的质量。通过开发一种新颖的综合遥感方法,该研究成功地确定了最容易受到道路盐分破坏地表水质量的区域。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第6期|1507-1525|共19页
  • 作者单位

    Department of Geography and Environment Management, University of Waterloo, Waterloo,Ontario, Canada N2L 3G1;

    Department of Geography and Environment Management, University of Waterloo, Waterloo,Ontario, Canada N2L 3G1;

    Department of Geography and Environment Management, University of Waterloo, Waterloo,Ontario, Canada N2L 3G1;

    Aquatic Ecosystem Management Research Division, National Water Research Institute, Burlington, Ontario, Canada L7R 4A6;

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