Literature DB >> 25784607

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

Jari Koskiaho1, Sirkka Tattari, Elina Röman.   

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.

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Year:  2015        PMID: 25784607     DOI: 10.1007/s10661-015-4397-6

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  6 in total

1.  Losses of nitrogen and phosphorus from agricultural and forest areas in Finland during the 1980s and 1990s.

Authors:  J Vuorenmaa; S Rekolainen; A Lepistö; K Kenttämies; P Kauppila
Journal:  Environ Monit Assess       Date:  2002-06       Impact factor: 2.513

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

Authors:  J Koskiaho; A Lepistö; S Tattari; T Kirkkala
Journal:  Water Sci Technol       Date:  2010       Impact factor: 1.915

3.  Estimation of particulate nutrient load using turbidity meter.

Authors:  K Yamamoto; T Suetsugi
Journal:  Water Sci Technol       Date:  2006       Impact factor: 1.915

4.  Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation.

Authors:  Brian A Pellerin; Brian A Bergamaschi; Robert J Gilliom; Charles G Crawford; JohnFranco Saraceno; C Paul Frederick; Bryan D Downing; Jennifer C Murphy
Journal:  Environ Sci Technol       Date:  2014-10-24       Impact factor: 9.028

5.  Surrogate measures for providing high frequency estimates of total phosphorus concentrations in urban watersheds.

Authors:  Gaetano Viviano; Franco Salerno; Emanuela Chiara Manfredi; Stefano Polesello; Sara Valsecchi; Gianni Tartari
Journal:  Water Res       Date:  2014-07-11       Impact factor: 11.236

6.  Wireless in-situ Sensor Network for Agriculture and Water Monitoring on a River Basin Scale in Southern Finland: Evaluation from a Data User's Perspective.

Authors:  Niina Kotamäki; Sirpa Thessler; Jari Koskiaho; Asko O Hannukkala; Hanna Huitu; Timo Huttula; Jukka Havento; Markku Järvenpää
Journal:  Sensors (Basel)       Date:  2009-04-21       Impact factor: 3.576

  6 in total

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