scholarly journals Study on real time control of nonpoint pollutants discharged with storm water starage tnak during storm event.

2000 ◽  
Vol 28 ◽  
pp. 105-113 ◽  
Author(s):  
Tae Sung KIM ◽  
Kiyoshi YAMADA ◽  
Hyoung Bu MOON
Keyword(s):  
Real Time ◽  
Storm Water ◽  
Storm Event ◽  
Real Time Control ◽  
Time Control

Temperature and conductivity as control parameters for pollution-based real-time control

2006 ◽  
Vol 54 (11-12) ◽  
pp. 257-263 ◽  
Author(s):  
R.P.S. Schilperoort ◽  
G. Gruber ◽  
C.M.L. Flamink ◽  
F.H.L.R. Clemens ◽  
J.H.J.M. van der Graaf
Keyword(s):  
Real Time ◽  
Monitoring Network ◽  
Storm Event ◽  
Real Time Control ◽  
Normal Behaviour ◽  
Time Control ◽  
Wastewater Systems ◽  
Typical Behaviour ◽  
Good Relation ◽  
Set Up

Most sewer system performance indicators are not easily measurable online at high frequencies in wastewater systems, which hampers real-time control with those parameters. Instead of using a constituent of wastewater, an alternative could be to use characteristics of wastewater that are relatively easily measurable in sewer systems and could serve as indicator parameters for the dilution process of wastewater. This paper focuses on the possibility to use the parameters of temperature and conductivity. It shows a good relation of temperature and conductivity with the dilution of DWF (dry weather flow) during WWF (wet weather flow) a monitoring station in Graz, Austria, as an example. The simultaneous monitoring of both parameters leads to valuable back-up information in case one parameter (temperature) shows no reaction to a storm event. However, for various reasons, anomalies occur in the typical behaviour of both parameters. The frequency and extent of these anomalies will determine the usefulness of the proposed parameters in a system for pollution-based real-time control. Both the normal behaviour and the anomalies will be studied further by means of trend and correlation analyses of data to be obtained from a monitoring network for the parameters of interest that is currently being set up in the Netherlands.

Potential of turbidity monitoring for real time control of pollutant discharge in sewers during rainfall events

2009 ◽  
Vol 59 (8) ◽  
pp. 1471-1478 ◽  
Author(s):  
C. Lacour ◽  
C. Joannis ◽  
M.-C. Gromaire ◽  
G. Chebbo
Keyword(s):  
Real Time ◽  
Simple Relation ◽  
Flow Dynamics ◽  
Storm Event ◽  
Real Time Control ◽  
Event Scale ◽  
Hydraulic Flow ◽  
Time Control ◽  
Wet Weather ◽  
Total Event

Turbidity sensors can be used to continuously monitor the evolution of pollutant mass discharge. For two sites within the Paris combined sewer system, continuous turbidity, conductivity and flow data were recorded at one-minute time intervals over a one-year period. This paper is intended to highlight the variability in turbidity dynamics during wet weather. For each storm event, turbidity response aspects were analysed through different classifications. The correlation between classification and common parameters, such as the antecedent dry weather period, total event volume per impervious hectare and both the mean and maximum hydraulic flow for each event, was also studied. Moreover, the dynamics of flow and turbidity signals were compared at the event scale. No simple relation between turbidity responses, hydraulic flow dynamics and the chosen parameters was derived from this effort. Knowledge of turbidity dynamics could therefore potentially improve wet weather management, especially when using pollution-based real-time control (P-RTC) since turbidity contains information not included in hydraulic flow dynamics and not readily predictable from such dynamics.

scholarly journals A real-time control strategy for separation of highly polluted storm water based on UV–Vis online measurements – from theory to operation

2011 ◽  
Vol 63 (10) ◽  
pp. 2287-2293 ◽  
Author(s):  
H. Hoppe ◽  
S. Messmann ◽  
A. Giga ◽  
H. Gruening
Keyword(s):  
Real Time ◽  
Stream Water ◽  
Treatment Plant ◽  
Operating Conditions ◽  
Storm Water ◽  
Water Runoff ◽  
Real Time Control ◽  
Flow Measurements ◽  
Time Control ◽  
Storm Water Runoff

‘Classical’ real-time control (RTC) strategies in sewer systems are based on water level and flow measurements with the goal of activation of retention volume. The control system rule of ‘clean (storm water) runoff into the receiving water – polluted runoff into the treatment plant’ has been thwarted by rough operating conditions and lack of measurements. Due to the specific boundary conditions in the city of Wuppertal's separate sewer system (clean stream water is mixed with polluted storm water runoff) a more sophisticated – pollution-based – approach was needed. In addition the requirements to be met by the treatment of storm water runoff have become more stringent in recent years. To separate the highly-polluted storm water runoff during rain events from the cleaner stream flow a pollution-based real-time control (P-RTC) system was developed and installed. This paper describes the measurement and P-RTC equipment, the definition of total suspended solids as the pollution-indicating parameter, the serviceability of the system, and also gives a cost assessment. A sensitivity analysis and pollution load calculations have been carried out in order to improve the P-RTC algorithm. An examination of actual measurements clearly shows the ecological and economic advantages of the P-RTC strategy.

Study on real time control of non-point pollutants discharged from urban areas during a storm event

2001 ◽  
Vol 44 (7) ◽  
pp. 17-22
Author(s):  
K. Yamada ◽  
T.-S. Kim ◽  
K. Nakamura ◽  
J. Nomura
Keyword(s):  
Real Time ◽  
Water Use ◽  
Urban Areas ◽  
Flood Control ◽  
Storm Event ◽  
Real Time Control ◽  
Catchment Basin ◽  
Water Storage Tank ◽  
Time Control ◽  
Pollutant Reduction

In this research, we installed the storm water storage tank, which has three functions: pollutant control, flood control and water use, to the end pipe of a separate system. We examined the effect of real time control (RTC) introduction with the scenario selection in the study area in the catchment basin, which has measured data. As a result, a latter period centering-type case is satisfied with the pollutant reduction by the RTC and also at the water use tank, the best control settles COD concentration at about 0.45 mg/l. It was clarified how to use a RTC method as a measure of the discharge problem from an urban area during a storm event.

A Real Time Control Architecture for Continuously Managing Patients in a Care Unit

1995 ◽  
Vol 34 (05) ◽  
pp. 475-488
Author(s):  
B. Seroussi ◽  
J. F. Boisvieux ◽  
V. Morice
Keyword(s):  
Real Time ◽  
Linear Time ◽  
Treatment Plan ◽  
Control Architecture ◽  
Real Time Control ◽  
Time Representation ◽  
Time Control ◽  
Continuous Support ◽  
Definition Of ◽  
Computerized System

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.

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