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在线测量提供了更准确的养分负荷估算:以芬兰西南部的伊莱嫩约基河流域为例。

On-line measurements provide more accurate estimates of nutrient loading: a case of the Yläneenjoki river basin, southwest Finland.

机构信息

Finnish Environment Institute, FIN-00251 Helsinki, Finland.

出版信息

Water Sci Technol. 2010;62(1):115-22. doi: 10.2166/wst.2010.275.

Abstract

Automatic on-line measurement stations for water quality components and water level were equipped with dataloggers and GSM transmitters; the stations were installed at two sites in the Yläneenjoki river basin, SW Finland. Measurements during five seasons in 2006-2007 were conducted to find out whether the produced data would provide more accurate estimates of material and nutrient transport than traditional water sampling. Sensor-based monitoring estimates for transport of total suspended solids (TSS) were clearly higher (difference -6-61%), total phosphorus also higher, and that of nitrate (NO(3)-N) somewhat lower (difference (-51%-4%), as compared with manual sampling based estimates. The winter season studied here was mild i.e. winter-type which is becoming more common in Finland with the changing climate. Sensor-based monitoring proved its benefits particularly in such conditions.

摘要

自动在线水质成分和水位测量站配备了数据记录器和 GSM 发射器;这些站安装在芬兰西南部 Yläneenjoki 河流域的两个地点。2006-2007 年的五个季节进行了测量,以确定所产生的数据是否比传统的水样采集更能准确估计物质和养分的输送。基于传感器的监测估计总悬浮固体 (TSS) 的输送量明显更高(差异 -6-61%),总磷也更高,硝酸盐(NO(3)-N)则略低(差异为 -51%-4%),与基于手动采样的估计值相比。本研究中的冬季较为温和,即冬季型,随着气候变化,这种冬季型在芬兰变得越来越普遍。基于传感器的监测在这种情况下证明了其优势。

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