The Research of the Suitability of Hydrostatic Water Level Sensor to Measure Storm Water Runoff Flow Rate with the Focus on the Influence of Sediments

Authors

  • Vilmantė Karlavičienė Vilnius Gediminas Technical University
  • Raimondas Zaborovskis Vilnius Gediminas Technical University
  • Vaidas Vinciūnas Vilnius Gediminas Technical University
  • Mindaugas Rimeika Vilnius Gediminas Technical University

DOI:

https://doi.org/10.15626/Eco-Tech.2010.035

Abstract

Since most of the contaminants in surface waters fall with storm water runoff, it is very important to correctly describe the content of pollutants discharging with them (kilograms or tons) for a given unit of time (hour, shift, day, month or year). Measurements are complicated by the fact that the flow rate and pollutant concentration is very variable over time. The aim of the research was to determine the grain size of sweepings accumulated on the surfaces of the researched territory and to investigate the impact of storm water runoff sediments on the accuracy of measurements of water level height using the hydrostatic water level sensor. For the experiment four typical Vilnius city streets, two storm water runoff treatment plants and also the streets sweeping machine was chosen. Storm water runoff in urban areas has an abundance of sediment, therefore, studying the hydrostatic water level sensor DI 240 Diver suitability to determine storm water runoff flow rate, for the experimental studies the impact of sludge and sand for measuring accuracy was chosen. Particles with diameters ranging from 0.315 to 0.630 mm consisting the maximum weight (the average value of 24 g per 100 g of the sample) of street sweepings. Storm water runoff treatment plants sediments are approximately 60% of the smallest particles with a size of less than 0.05 mm. Particles of less than 0.25 mm consisting about 80% of sediment. During laboratory and full scale tests it was determined, that there is no significant affect of sediments on the accuracy of the hydrostatic water level sensor measurements. The average square error (standard deviation) was 0.567 cm when the measurement uncertainty was 0.0021 cm.

Metrics

Metrics Loading ...

Downloads

Published

2017-03-17