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基于自动监测网络确定的富水河流域悬浮固体和总磷负荷及其空间差异。

Suspended solids and total phosphorus loads and their spatial differences in a lake-rich river basin as determined by automatic monitoring network.

作者信息

Koskiaho Jari, Tattari Sirkka, Röman Elina

机构信息

Finnish Environment Institute (SYKE), PO Box 140, FIN-00251, Helsinki, Finland,

出版信息

Environ Monit Assess. 2015 Apr;187(4):187. doi: 10.1007/s10661-015-4397-6. Epub 2015 Mar 18.

Abstract

Turbidity datasets recorded by sensors during 2009-2012 were collected in five observation sites in the 2046-km2 Karjaanjoki River Basin in southern Finland. From these and water sample-based data, total phosphorus (TP) and total suspended solids (TSS) fluxes were determined. Based on calculations made with combined sensor- and water sample-based dataset, the annual loading from the Karjaanjoki Basin in 2009-2012 varied between 11,300 and 23,900[corrected] kg of TP and 3300-8400 t of TSS. As compared with two other river basins discharging into the Baltic Sea in southern Finland, the TP loading from Karjaanjoki was low because the summed retention in the two major lakes Hiidenvesi and Lohjanjärvi was high: 48 and 49% of the TSS and TP loadings generated in their upstream catchments, respectively. Depending on how water sampling took place in relation to peak flow events, differences of annual fluxes as determined by "water samples only" vs. "sensors and water samples" data varied between -22 and 26 for TP and -31 and 39% for TSS. This study proved automatic monitoring being useful when spatial differences and lake retention of riverine fluxes are explored. Moreover, the loading estimates calculated on the base of well-functioning and well-maintained automatic monitoring system, supported with water sampling during periods when devices were off, are undoubtedly more accurate than those based on manual grab water sampling only. The findings of this study were in line with, and well contribute to, earlier Finnish and international research on automatic water quality monitoring.

摘要

2009年至2012年期间,传感器记录的浊度数据集收集于芬兰南部2046平方公里的卡尔亚安约基河流域的五个观测点。根据这些数据以及基于水样的数据,确定了总磷(TP)和总悬浮固体(TSS)通量。基于结合传感器和水样数据集的计算,2009年至2012年卡尔亚安约基河流域的年负荷量在11300至23900[校正后]千克TP和3300至8400吨TSS之间变化。与芬兰南部另外两条流入波罗的海的流域相比,卡尔亚安约基河的TP负荷较低,因为希登韦西和洛亚涅尔维这两个主要湖泊的总截留率较高:分别截留了其上游集水区产生的TSS和TP负荷的48%和49%。根据水样采集与峰值流量事件的关系,“仅水样”与“传感器和水样”数据确定的年通量差异在TP方面为-22%至26%,在TSS方面为-31%至39%。这项研究证明,在探索河流通量的空间差异和湖泊截留情况时,自动监测是有用的。此外,基于运行良好且维护良好的自动监测系统,并在设备关闭期间辅以水样采集计算得出的负荷估计值,无疑比仅基于手动采集水样的估计值更准确。本研究的结果与芬兰早期及国际上关于自动水质监测的研究一致,并对其做出了重要贡献。

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