Literature DB >> 16594350

Estimation of particulate nutrient load using turbidity meter.

K Yamamoto1, T Suetsugi.   

Abstract

The "Nutrient Load Hysteresis Coefficient" was proposed to evaluate the hysteresis of the nutrient loads to flow rate quantitatively. This could classify the runoff patterns of nutrient load into 15 patterns. Linear relationships between the turbidity and the concentrations of particulate nutrients were observed. It was clarified that the linearity was caused by the influence of the particle size on turbidity output and accumulation of nutrients on smaller particles (diameter < 23 microm). The L-Q-Turb method, which is a new method for the estimation of runoff loads of nutrients using a regression curve between the turbidity and the concentrations of particulate nutrients, was developed. This method could raise the precision of the estimation of nutrient loads even if they had strong hysteresis to flow rate. For example, as for the runoff load of total phosphorus load on flood events in a total of eight cases, the averaged error of estimation of total phosphorus load by the L-Q-Turb method was 11%, whereas the averaged estimation error by the regression curve between flow rate and nutrient load was 28%.

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Year:  2006        PMID: 16594350     DOI: 10.2166/wst.2006.065

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  3 in total

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

Authors:  Jari Koskiaho; Sirkka Tattari; Elina Röman
Journal:  Environ Monit Assess       Date:  2015-03-18       Impact factor: 2.513

2.  Morphology, geology and water quality assessment of former tin mining catchment.

Authors:  Muhammad Aqeel Ashraf; Mohd Jamil Maah; Ismail Yusoff
Journal:  ScientificWorldJournal       Date:  2012-06-18

3.  Estimating and Predicting Metal Concentration Using Online Turbidity Values and Water Quality Models in Two Rivers of the Taihu Basin, Eastern China.

Authors:  Hong Yao; Wei Zhuang; Yu Qian; Bisheng Xia; Yang Yang; Xin Qian
Journal:  PLoS One       Date:  2016-03-30       Impact factor: 3.240

  3 in total

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