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堪萨斯州溪流中营养物质和细菌浓度估算的实时水质监测与回归分析

Real-time water quality monitoring and regression analysis to estimate nutrient and bacteria concentrations in Kansas streams.

作者信息

Christensen V G, Rasmussen P P, Ziegler A C

机构信息

U.S. Geological Survey, Lawrence, KS 66049, USA.

出版信息

Water Sci Technol. 2002;45(9):205-11.

Abstract

An innovative approach currently is underway in Kansas to estimate and monitor constituent concentrations in streams. Continuous in-stream water-quality monitors are installed at selected U.S. Geological Survey stream-gaging stations to provide real-time measurement of specific conductance, pH, water temperature, dissolved oxygen, turbidity, and total chlorophyll. In addition, periodic water samples are collected manually and analyzed for nutrients, bacteria, and other constituents of concern. Regression equations then are developed from measurements made by the water-quality monitors and analytical results of manually collected samples. These regression equations are used to estimate nutrient, bacteria, and other constituent concentrations. Concentrations then are available to calculate loads and yields to further assess water quality in watersheds. The continuous and real-time nature of the data may be important when considering recreational use of a water body; developing and monitoring total maximum daily loads; adjusting water-treatment strategies; and determining high constituent concentrations in time to prevent adverse effects on fish or other aquatic life.

摘要

堪萨斯州目前正在采用一种创新方法来估算和监测溪流中的成分浓度。在美国地质调查局选定的溪流测量站安装了连续的溪流水质监测仪,以实时测量电导率、pH值、水温、溶解氧、浊度和总叶绿素。此外,还定期人工采集水样,并分析其中的营养物质、细菌和其他相关成分。然后根据水质监测仪的测量结果和人工采集样本的分析结果建立回归方程。这些回归方程用于估算营养物质、细菌和其他成分的浓度。进而可以利用这些浓度来计算负荷和产量,以进一步评估流域的水质。在考虑水体的娱乐用途、制定和监测总最大日负荷、调整水处理策略以及及时确定高成分浓度以防止对鱼类或其他水生生物产生不利影响时,数据的连续性和实时性可能至关重要。

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