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SAFEWATER Application and Results of Innovative Tools for the - - PowerPoint PPT Presentation

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SAFEWATER Application and Results of Innovative Tools for the Detection and M itigation of CBRN-related Contamination Events in Drinking Water Supply Systems Thomas Bernard, Aharon Rosenberg, Helena Lucas, Adrian Rieder, J rgen M

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SAFEWATER – Application and Results of Innovative Tools for the Detection and M itigation

  • f CBRN-related Contamination Events in Drinking

Water Supply Systems

Thomas Bernard, Aharon Rosenberg, Helena Lucas, Adrian Rieder, J ürgen M oßgraber, J

  • chen Deuerlein, Eyal Brill, Karim Boudergui, Dag Ilver, Nirit Ulitzur,

Anna Elinge M adar Conference CCWI 2017 Sheffield, 5.-7.9.2017

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Information we need when a CBRN event contaminates the drinking water supply…

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Water security is compromised by deliberate or accidental contamination

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Accidental Contaminations

11.09.2015

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No end to end holistic solution available for the detection and management of a CBRN water safety event

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At project start (10/ 2013) …

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No online sensors for microbial or radiological detection Only a few sensors for specific chemicals‘ detection No reliable tools for real time detection/ online simulation

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At project start …

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SAFEWATER Objectives

Global generic solution for detection and mitigation of drinking water event resulting from CBRN contamination

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SAFEWATER Objectives

New CBRN water quality sensors Improved contamination alert systems Simulators to determine source and spread M anagement system to provide decision support Testing the system in three water utilities in six use cases

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SAFEWATER Objectives

New CBRN water quality sensors Improved contamination alert systems Simulators to determine source and spread M anagement system to provide decision support Testing the system in three water utilities in six use cases

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SAFEWATER at a glance

EU funded FP7 – security project, 10/ 2013 – 12/ 2016 Nine partners from five countries with expertise in the area of:

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SAFEWATER at a glance

EU funded FP7 – security project, 10/ 2013 – 12/ 2016 Nine partners from five countries with expertise in the area of: Sensor development (CEA, ACREO, Biomonitech)

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SAFEWATER at a glance

EU funded FP7 – security project, 10/ 2013 – 12/ 2016 Nine partners from five countries with expertise in the area of: Sensor development (CEA, ACREO, Biomonitech) Event management system (Fraunhofer IOSB)

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SAFEWATER at a glance

EU funded FP7 – security project, 10/ 2013 – 12/ 2016 Nine partners from five countries with expertise in the area of: Sensor development (CEA, ACREO, Biomonitech) Event management system (Fraunhofer IOSB) Event detection system (Decision M akers)

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SAFEWATER at a glance

EU funded FP7 – security project, 10/ 2013 – 12/ 2016 Nine partners from five countries with expertise in the area of: Sensor development (CEA, ACREO, Biomonitech) Event management system (Fraunhofer IOSB) Event detection systems (Decision M akers) Simulators (3S Consult, Fraunhofer IOSB)

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SAFEWATER at a glance

EU funded FP7 – security project, 10/ 2013 – 12/ 2016 Nine partners from five countries with expertise in the area of: Sensor development (CEA, ACREO, Biomonitech) Event management system (Fraunhofer IOSB) Event detection systems (Decision M akers) Simulators (3S Consult, Fraunhofer IOSB) M anagement of Drinking Water Networks (Hagihon, AdA, Zürich)

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SAFEWATER at a glance

EU funded FP7 – security project, 10/ 2013 – 12/ 2016 Nine partners from five countries: Sensor development (CEA, ACREO, biomonitech) Event management system (Fraunhofer IOSB) Event detection systems (Decision M akers) Simulators (3S Consult, Fraunhofer IOSB) M anagement of Drinking Water Networks (Hagihon, AdA, Zürich)

coordinator scientific coordinator

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Sim

Simulators

Solution Concept

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New CBRN Sensors

1) Rapid detection of E. coli (ACREO, Sweden) 2) Chemical toxicity detection (biomonitech, Israel) 3) Radioactivity detection (α, β) (CEA, France)

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New CBRN Sensors

1) Rapid detection of E. coli (ACREO, Sweden) 2) Chemical toxicity detection (biomonitech, Israel) 3) Radioactivity detection (α, β) (CEA, France)

Radioactivity sensor (CEA) Chemical toxicity detection (biomonitech) Rapid detection of E.coli (ACREO)

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Rapid detection of E. coli

  • E. coli bacteria are labeled with fluorescent nanoparticles via specific antibodies

Antibody stained E coli bacteria Clusters of E coli bacteria in sewage water

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Rapid detection of E. coli

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Flow Cytometer

P1 P2 P3

Waste out Water sample in Cleaning agent in Turbulent mixing T empered Incubation loop Labelling agent in P= pump M easurement

(counts E coli/ ml)

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Graphic user interface

Sensor Prototype – tested at Hagihon (J erusalem) and WVZ (Zurich)

Rapid detection of E. coli

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Chemical Toxicity Detection

0,0 50000,0 100000,0 150000,0 200000,0 250000,0 300000,0 0,00 0,20 0,40 0,60 0,80 1,00 1,20 1,40 1,60 1,80

RLU Chemical concentration (mg/ L)

Deionised Water + toxic substance

Luminescence

Chemical toxicity detection by luminescent marine bacteria

(e.g. pesticides, herbicides, heavy metals)

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Chemical Toxicity Detection

Sensor Prototype – tested at Hagihon (J erusalem) and AdA (Portugal)

time (min) relative units

Spiked Toxic Chemical

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Photonmultiplier First prototype Scintillating optical fibers bundle

Radioactivity Detection

Detection of α- and β-radiation

Based on a scintillating optical fibers bundle M iniaturised Photomultiplier Tube (PM T)

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Radioactivity Detection

Sensor Prototype – tested at Hagihon (J erusalem)

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Alarm

Radioactivity Detection

Sensor Prototype – tested at Hagihon (J erusalem)

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Sensors with wireless Data Transmission

HaGihon (Jerusalem) Water Utility Zürich

Aim: Obtain more water quality data from the network Data transmission via GSM Secure cloud based data storage

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Test-sites at Water Utilities

Test Site at HaGihon (J erusalem)

Test of the Safewater Software modules (EDS, EM S, Simulators) Test of Safewater chemical sensor, biological sensor & commercial sensors

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T

  • xicity sensor (biomonitech)
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Test-sites at Water Utilities

Test Site at Águas do Algarve (Portugal)

Test of the Safewater Software modules (EDS, EM S, Simulators) Test of Safewater chemical sensor & commercial senors

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Commercial sensors

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Test site at CEA (France)

Experiments: α, β radiation material mixed with water

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T est network Zurich: 150 m pipe length, 5 m width Injection pump

Test Network in Zurich

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Test of all SAFEWATER software modules Test of E. coli sensor & commercial sensors

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Test Network in Zürich

Open valve Closed valve Water quality sensor Injection of contaminant Inflow Outflow Outflow Contaminant

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Test Network in Zürich

Injection with fluorescenting material, salt and sewage water

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11:20 11:30 11:40 11:50 12:00 12:10 12:20

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Incomplete M ixing at Crossing

Investigation of mixing at crossing under various flow conditions

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Detection of sewage intrusion

Lab tests at Wasserversorgung Zürich

Dilution experiments with waste water to determine the sensitivity of different parameters for the detection of faecal contamination in tap water Biological parameters are most promising to detect faecal contaminations: Enterococcus, E. coli and Heterotrophic Plate Count (HPC)

HPC: method that measures colony formation on culture media of heterotrophic bacteria in drinking water

0.01 0.1 1 10 100 conductivity pH Turbidity UV254 DOC Ammonium HPC

  • E. Coli

Enterokokkus TCC WWTP Effluent Prefiltered WW

minimum % of waste water in tap water to show a significant alteration of the corresponding parameter in lab analysis

M ost sensitive parameters

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Sewage concentration [in arbitrary units]

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Event M anagement System (EM S)

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Simulators 40 Operator, M anager

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Event M anagement System

Web based, user friendly platform that handles events reported by the Event Detection System

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Event M anagement System

Interface to offline & online simulators with GIS-based visualisation of results

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GIS-based Display of Simulation Results

Spread during hour 1 Spread during hour 2 Injection point Spread during hour 3

Display options for water quality simulation results:

(1) concentrations or (2) time for spread of contamination

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Legend Link to alarm info Flow direction

GIS-based Display of Simulation Results

Display of flow and flow directions

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Event Detection System

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Simulators 45 Operator, M anager

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Combines information from multiple sensors in order to detect anomalies in water quality measurements

Event Detection System

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Event Detection System

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The Event Detection System uses several techniques:

User defined:

Violation of single-variable limits (user-defined and those learned by the EDS) Violation of known rates of change for measurements / detection of elevated noise levels Violation of rules (defined by the User) Appearance of known bad past situation(s)

Learned by the Event Detection System:

Appearance of rare combination(s) Abnormal patterns in multivariable combinations Detection of unexplained variance between different monitoring stations

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Spatial M odel: Compute water flow time using water quality measurements

  • understand relations between stations
  • How long does it take for a drop of water to travel between two monitoring stations?
  • Did something happen to the water quality between the two locations?

Event Detection System

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Domestic Sensor M odel: Calculates adaptive thresholds for low energy sensors

Benefit: Sensors send data out frequently only when threshold is exceeded

Event Detection System

upper threshold lower threshold

sensor measurement

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Experimental test at pilot zone in Jerusalem

M ore information: http:/ / www.mindset-tools.com/

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Simulators (Offline & Online)

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Simulators 51 Operator, M anager

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Offline Simulator

Simulation of spread of contamination

Understand the hydraulic and water quality behavior Simulations of reactions and decay of substances Consideration of incomplete mixing at junctions Generate training data for the Event Detection system

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Online Simulator & Response Tools

Identification of contaminant sources by backtracking algorithm Look-ahead calculations: Estimated spread of the contamination Isolation valves: Identification of valves which have to be closed

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Source Identification

Source Candidates Spread of contamination

Potential intrusion points are calculated based on “ positive” / “ negative” water quality sensor measurements (positive -> contamination detected)

Identified source

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Look-Ahead Simulator

Source

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Online prediction of spread of contamination based on online hydraulic data

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Valve Closing Recommendation

Source Valves which should be closed

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based on response time of water utilities for closing the valves (e.g. 1 hour)

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New CBRN sensors for real-time detection of CBRN contaminants in water Event Detection System for detection of abnormal water quality behaviour Event M anagement System to provide decision support Offline and Online Simulators to determine the contamination’s source, the spread and identification of isolation valves Implementation and tests at three water utilities (Jerusalem, Zürich, Águas do Algarve)

SAFEWATER Summary

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SAFEWATER Summary

Step towards a holistic solution for water safety, from detection to event management

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Thank you!

Website www.safewater-project.eu Y

  • uTube https:/ / youtu.be/ Bs5SljKUxgE

This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 312764.

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