Use of online water quality monitoring for assessing the effects of WWTP overflows in rivers.

The effects on river water quality of sewer overflows are not well known. Since the duration of the overflow is in the order of magnitude of minutes to hours, continuous measurements of water quality are needed and traditional grab sampling is unable to quantify the pollution loads. The objective of this paper was to demonstrate the applicability of high frequency measurements for assessing the impacts of waste water treatment plants on the water quality of the receiving surface water. In our in situ water quality monitoring setup, two types of multiparameter sensors mounted on a floating fixed platform were used to determine the dynamics of dissolved oxygen, specific conductivity, ammonium-N, nitrate-N and dissolved organic carbon downstream of a waste water treatment plant (WWTP), in combination with data on rainfall, river discharge and WWTP overflow discharge. The monitoring data for water quantity and water quality were used to estimate the pollution load from waste water overflow events and to assess the impact of waste water overflows on the river water quality. The effect of sewer overflow on a small river in terms of N load was shown to be significant. The WWTP overflow events accounted for about 1/3 of the river discharge. The NH4-N loads during overflow events contributed 29% and 21% to the August 2010 and June 2011 load, respectively, in only 8% and 3% of the monthly time span. The results indicate that continuous monitoring is needed to accurately represent the effects of sewer overflows in river systems.

[1]  J. Burkholder,et al.  Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry, and computing technologies , 2004 .

[2]  Ulrike Bende-Michl,et al.  A systematic approach to choosing an automated nutrient analyser for river monitoring. , 2010, Journal of environmental monitoring : JEM.

[3]  Christoph Stasch,et al.  New Generation Sensor Web Enablement , 2011, Sensors.

[4]  Arne Bröring,et al.  A Lightweight Approach for the Sensor Observation Service to Share Environmental Data across Europe , 2012, Trans. GIS.

[5]  V. Rocher,et al.  Impact of an intense combined sewer overflow event on the microbiological water quality of the Seine River. , 2011, Water research.

[6]  Wei Jiang,et al.  On-line outlier detection and data cleaning , 2004, Comput. Chem. Eng..

[7]  David K. Stevens,et al.  A sensor network for high frequency estimation of water quality constituent fluxes using surrogates , 2010, Environ. Model. Softw..

[8]  S. Todeschini,et al.  Impact assessment of urban wet-weather sewer discharges on the Vernavola river (Northern Italy) , 2011 .

[9]  M. B. Beck,et al.  Fault detection in a real-time monitoring network for water quality in the lagoon of Venice (Italy). , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[10]  J. Seager,et al.  Effects of short‐term oxygen depletion on fish , 2000 .

[11]  Rachel Cassidy,et al.  Limitations of instantaneous water quality sampling in surface-water catchments: Comparison with near-continuous phosphorus time-series data , 2011 .

[12]  H. Rees,et al.  Influences of Sampling Methodologies on Pesticide-Residue Detection in Stream Water , 2013, Archives of Environmental Contamination and Toxicology.

[13]  M. Bierkens,et al.  Direct measurements of the tile drain and groundwater flow route contributions to surface water contamination: From field-scale concentration patterns in groundwater to catchment-scale surface water quality. , 2010, Environmental pollution.

[14]  Philip Jordan,et al.  Quantifying nutrient transfer pathways in agricultural catchments using high temporal resolution data , 2012 .

[15]  Thomas Usländer,et al.  Designing environmental software applications based upon an open sensor service architecture , 2010, Environ. Model. Softw..

[16]  P. Vanrolleghem,et al.  The dynamic water-sediment system: results from an intensive pesticide monitoring campaign. , 2007, Water science and technology : a journal of the International Association on Water Pollution Research.

[17]  Charles N Haas,et al.  The WATERS Network: an integrated environmental observatory network for water research. , 2007, Environmental science & technology.