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首页> 外文期刊>Acta Agriculturae Scandinavica. Section B, Soil and Plant Science >Use of sensor data for turbidity, pH and conductivity as an alternative to conventional water quality monitoring in four Norwegian case studies
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Use of sensor data for turbidity, pH and conductivity as an alternative to conventional water quality monitoring in four Norwegian case studies

机译:在四个挪威案例研究中,使用浊度,pH和电导率的传感器数据替代常规水质监测

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Sensor technology represents a relatively novel opportunity for water quality monitoring, and some of its many potential uses have been explored and assessed in this paper. Four Norwegian case studies with sensor recordings of turbidity, pH, conductivity and water level have been used for this assessment. The cases have included rivers, creeks and storm water overflow systems, with both point- and non-point sources of pollution from different types of land use including agriculture, road construction works, road salt application and acidic bedrocks. The results indicated that: (1) good correlations were found between sensor-based turbidity data and concentrations of both suspended particulate matter and phosphorus in grab samples from a small agricultural stream; (2) sensor recordings of turbidity proved superior to both fortnightly grab sampling and time-integrated composite sampling in terms of detecting high values of suspended sediments from both diffuse and point sources. However, the calculation of average concentrations based on fortnightly grab samples and sensor data gave almost similar results; (3) at a road construction site, the use of equipment with multiple sensors revealed that anticipated cause and effect relationships between fish deaths and high sediment loads could not be detected, but episodes of low pH of 5-5.5 did occur during rainstorms, probably as a result of weathering of acidic bedrock; and (4) in an urban road system subject to salt application in the wintertime, sensor technology revealed short-term peaks of salinity, on occasions as high as for sea water. Overall, these findings have demonstrated the usefulness of sensor data compared to traditional methods, in particular due to the possibility of high-frequency recordings of several parameters in systems with rapid changes in water quality.
机译:传感器技术代表了一个相对新颖的水质监测机会,本文已经探讨和评估了其许多潜在用途。这项评估使用了四个挪威的案例研究,传感器记录了浊度,pH,电导率和水位。案例包括河流,小河和雨水溢流系统,以及来自不同类型土地利用的点污染和非点污染源,包括农业,道路建设工程,道路撒盐和酸性基岩。结果表明:(1)在基于传感器的浊度数据与来自小型农业流的抓取样品中悬浮颗粒物和磷的浓度之间存在良好的相关性; (2)在检测来自扩散和点源的高悬浮物值方面,浊度的传感器记录被证明优于每两周抓取采样和时间积分复合采样。但是,根据每两周一次的采样和传感器数据计算出的平均浓度得出的结果几乎相似。 (3)在道路施工现场,使用带有多个传感器的设备表明无法检测到鱼死亡与高沉积物负载之间的预期因果关系,但是在暴雨期间确实发生了pH值低至5-5.5的情况由于酸性基岩的风化; (4)在冬季需要加盐的城市道路系统中,传感器技术揭示了盐度的短期峰值,有时甚至是海水的峰值。总体而言,这些发现证明了与传统方法相比传感器数据的有用性,特别是由于在水质快速变化的系统中高频记录多个参数的可能性。

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