Uusheimo Sari, Tulonen Tiina, Arvola Lauri, Arola Hanna, Linjama Jarmo, Huttula Timo
Lammi Biological Station, University of Helsinki, Pääjärventie 320, FI-16900, Lammi, Finland.
Freshwater Center, Finnish Environment Institute, Survontie 9 A, FI-40500, Jyväskylä, Finland.
Environ Monit Assess. 2017 Jul;189(7):357. doi: 10.1007/s10661-017-6056-6. Epub 2017 Jun 27.
Compared with sporadic conventional water sampling, continuous water-quality monitoring with optical sensors has improved our understanding of freshwater dynamics. The basic principle in photometric measurements is the incident light at a given wavelength that is either reflected, scattered, or transmitted in the body of water. Here, we discuss the transmittance measurements. The amount of transmittance is inversely proportional to the concentration of the substance measured. However, the transmittance is subject to interference, because it can be affected by factors other than the substance targeted in the water. In this study, interference with the UV/Vis sensor nitrate plus nitrite measurements caused by organic carbon was evaluated. Total or dissolved organic carbon as well as nitrate plus nitrite concentrations were measured in various boreal waters with two UV/Vis sensors (5-mm and 35-mm pathlengths), using conventional laboratory analysis results as references. Organic carbon increased the sensor nitrate plus nitrite results, not only in waters with high organic carbon concentrations, but also at the lower concentrations (< 10 mg C L) typical of boreal stream, river, and lake waters. Our results demonstrated that local calibration with multiple linear regression, including both nitrate plus nitrite and dissolved organic carbon, can correct the error caused by organic carbon. However, high-frequency optical sensors continue to be excellent tools for environmental monitoring when they are properly calibrated for the local water matrix.
与零星的传统水样采集相比,利用光学传感器进行连续水质监测增进了我们对淡水动态的理解。光度测量的基本原理是特定波长的入射光在水体中发生反射、散射或透射。在此,我们讨论透射率测量。透射率的大小与被测物质的浓度成反比。然而,透射率会受到干扰,因为它可能受到水中目标物质以外的其他因素影响。在本研究中,评估了有机碳对紫外/可见传感器测量硝酸盐加亚硝酸盐的干扰。使用两个紫外/可见传感器(光程分别为5毫米和35毫米),在各种北方水域中测量总有机碳或溶解有机碳以及硝酸盐加亚硝酸盐的浓度,并以传统实验室分析结果作为参考。有机碳不仅在有机碳浓度高的水体中,而且在北方溪流、河流和湖泊水体典型的较低浓度(<10毫克碳/升)下,都会使传感器测量的硝酸盐加亚硝酸盐结果升高。我们的结果表明,采用包括硝酸盐加亚硝酸盐和溶解有机碳的多元线性回归进行局部校准,可以校正由有机碳引起的误差。然而,当针对当地水基质进行适当校准时,高频光学传感器仍然是环境监测的优秀工具。