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Monitoring eastern Oklahoma lake water quality using Landsat.

机译:使用Landsat监测俄克拉荷马州东部湖泊的水质。

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摘要

The monitoring of public waters for recreational, industrial, agricultural, and drinking purposes is a difficult task assigned to many state water agencies. The Oklahoma Water Resources Board (OWRB) is only physically monitoring a quarter of the lakes it is charged with monitoring in any given year. The minimal sample scheme adopted by the OWRB is utilized to determine long-term trends and basic impairment but is insufficient to monitor the water quality shifts that occur following influx from rains or to detect algal blooms, which may be highly localized and temporally brief. Recent work in remote sensing calibrates reflectance coefficients between extant water quality data and Landsat imagery reflectance to estimate water quality parameters on a regional basis. Remotely-sensed water quality monitoring benefits include reduced cost, more frequent sampling, inclusion of all lakes visible each satellite pass, and better spatial resolution results. The study area for this research is the Ozark foothills region in eastern Oklahoma including the many lakes impacted by phosphorus flowing in from the Arkansas border region. The result of this research was a moderate r2 regression value for turbidity during winter (0.52) and summer (0.65), which indicates that there is a seasonal bias to turbidity estimation using this methodology and the potential to further develop an estimation equation for this water quality parameter. Refinements that improve this methodology could provide state-wide estimations of turbidity allowing more frequent observation of water quality and allow better response times by the OWRB to developing water impairments.
机译:对于娱乐,工业,农业和饮水目的的公共水域监控是分配给许多州水务机构的一项艰巨任务。俄克拉荷马州水资源委员会(OWRB)仅在物理上监视在任何一年中要监视的四分之一的湖泊。 OWRB所采用的最小采样方案用于确定长期趋势和基本损害,但不足以监测雨水涌入后发生的水质变化或检测藻华,这可能是高度局部的且时间短暂的。遥感方面的最新工作是对现有水质数据与Landsat影像反射率之间的反射系数进行校准,以估计区域内的水质参数。遥感水质监测的好处包括降低成本,更频繁地采样,在每次卫星通行时都包含所有可见的湖泊以及更好的空间分辨率结果。这项研究的研究区域是俄克拉荷马州东部的欧扎克山麓地区,其中包括受阿肯色州边界地区流入的磷影响的许多湖泊。该研究的结果是冬季(0.52)和夏季(0.65)的浊度的r2回归值适中,这表明使用该方法对浊度估算存在季节性偏差,并且有可能进一步开发该水的估算方程质量参数。改进此方法的改进方法可以提供全州范围的浊度估计值,从而可以更频繁地观察水质,并允许OWRB更好地响应发展中的水质损害。

著录项

  • 作者

    Barrett, Clay.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Remote sensing.;Geographic information science and geodesy.;Water resources management.
  • 学位 M.S.
  • 年度 2015
  • 页码 129 p.
  • 总页数 129
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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