Wastewater Critical Infrastructure Security and Protection
The use of Early Warning Systems (EWS) in wastewater utilities is not as prevalent as in the drinking water industry. One of the main reasons is the perception that the wastewater is already contaminated. The drinking water and wastewater industry share a common interest in security; however, the security and EWS are more advanced in the drinking water sector. This advancement is partially due to the perception that a contamination event would have a more direct impact on a water supply system than on a wastewater system. In addition, the Federal government has invested more resources and mandated more actions within the drinking water industry. Critical issues addressed in this chapter are the development and deployment of EWS to protect wastewater utilities from chemical, biological, and radiological (CBR) contamination events. Currently, technology does not exist to measure individual CBR contaminants with a single sensor and only a limited number of sensors can be used to detect CBRs in wastewater. The early detection of a CBR event provides a greater chance for the treatment plant operator to respond expeditiously; therefore, the CBR monitoring location is as important as identifying which contaminants or surrogate parameters to monitor.
KeywordsBiomass Sludge Respiration Chlorine Explosive
- Alai, M., Glascoe, L., Love, A., and Johnson, M. (2005). Sensor Acquisition for Water Utilities: A Survey and Technology List, 2005. http://https://e-reports-ext.llnl.gov/pdf/317385.pdf.
- Applications of Artificial Intelligence for Management and Control of Pollution Minimization and Mitigation Processes. 2003.Google Scholar
- ASCE. (2004). Interim Voluntary Guidelines for Designing an Online Contaminant Monitoring System, 2004. http://www.asce.org/static/1/wise.cfm.
- Chen, J. C., Chang, N. B., and Shieh, W. K. (2003). Assessing wastewater reclamation potential by neural network model. Engineering Applications of Artificial Intelligence. Special Issue on Applications of Artificial Intelligence for Management and Control of Pollution Minimization and Mitigation Processes, Volume 16, Issue 2, March 2003, Pages 149–157.Google Scholar
- GAO. (2005). Wastewater facilities: Experts’ Views on How Federal Funds Should Be Spent to Improve Security. http://www.gao.gov/cgi-bin/getrpt?GAO-05-165.
- Hart, D., McKenna Sean, A., Klise, K., Criz, V., and Wilson, M. (2007). CANARY: A Water Quality Event Detection Algorithm Development Tool. World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat, 2007.Google Scholar
- Kumar, J., Zechman, E. M, Brill, E. D., Mahinthakumar, G., Ranjithan, S., and Uber, J. (2007). Evaluation of Non-Uniqueness in Contaminant Source Characterization Based on Sensors with Event Detection Methods. World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat, 2007.Google Scholar
- NACWA. (2005). Vulnerability Self Assessment Tool™ for Water & Wastewater Utilities (Version 3.2 Update). February 2005. http://www.nacwa.org/pugs/index.cfm.
- NSF. (2002). The New Challenges of Chemical and Biological Sensing; National Science Foundation Workshop, January 9–10, 2002, Arlington, VA.Google Scholar
- US EPA. (2004). The Water Security Research and Technical Support Action Plan, EPA/600/R-04/063 March 2004. http://www.epa.gov/safewater/watersecurity/pubs/action_plan_final.pdf.
- US EPA. (2005). The Water Security Research and Technical Support Action Plan, Progress Report for 2005, published by EPA National Homeland Security Research Center and Water Security Division. http://www.epa.gov/nhsrc/pubs/600r05104.pdf.
- US EPA. (2007). Water Contaminant Information Tool (WCIT); 2007. http://www.epa.gov/wcit/pdfs/fs_watersecurity_wcit-2007.pdf.
- US EPA. (2008). Wastewater Response Protocol Toolbox: Planning for and Responding to Wastewater Contamination Threats and Incidents. Interim Final, 2008.Google Scholar
- WERF. (1994). Online Monitoring to Control Transients in Wastewater Treatment – Sensor Technology, Project No. 92-OPW-1, 1994.Google Scholar
- WERF. (2004a). Enhancing Security in the Wastewater Sector: A Prioritized Research Agenda, Security Symposium Proceedings, August 7–8, 2003, published by Water Environment Research Foundation January, 2004.Google Scholar
- WERF. (2004b). Emergency Response Plan Guidance for Wastewater Systems, Project No. 03-CTS-4S, Water Environment Research Foundation, VA, 2004.Google Scholar
- WERF. (2004c). Decision Support Systems for Wastewater Facilities Management, Project No. 00-CTS-7, Water Environment Research Foundation, VA, 2004.Google Scholar
- WERF. (2005). Upset Early Warning Systems for Biological Treatment Processes: Source and Effect Relationships, Stock No. 1CTS2a; Water Environment Research Foundation, Alexandria, VA, 2005.Google Scholar
- WERF. (2008). Strategy, Guidance, and Decision Support Systems For Deployment and Development of Upset Early Warning Sensor Systems for Wastewater Collection And Treatment Operations. WERF 04-CTS-9S, 2008.Google Scholar
- WERF. (2009a). Chemical, Biological and Radiological Sensors for Early Warning Systems in Wastewater Utilities, Project No. 04-CTS-9S.Google Scholar
- WERF. (2009b). Feasibility Testing of Support Systems to Prevent Upsets. Project No. 03-CTS-7S.Google Scholar