Framework for shared drinking water risk assessment

被引:5
作者
Tidwell, Vincent C. [1 ]
Lowry, Thomas S. [1 ]
Binning, David [2 ]
Graves, Jenny [3 ]
Peplinski, William J. [1 ]
Mitchell, Roger [1 ]
机构
[1] Sandia Natl Labs, POB 5800,MS1137, Albuquerque, NM 87185 USA
[2] George Mason Univ, Volgenau Sch Engn, 4400 Univ Dr,MS6C1, Fairfax, VA 22030 USA
[3] AEM Corp, 13880 Dulles Corner Lane,Suite 300, Herndon, VA 20171 USA
关键词
Risk Assessment; Drinking Water; Information Sharing; Multi-Utility Analysis;
D O I
10.1016/j.ijcip.2018.10.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Risk assessment plays a vital role in protecting our nation's critical infrastructure. Traditionally, such assessments have been conducted as a singular activity confined to the boarders of a particular asset or utility with little external sharing of information. In contrast other domains, e.g., disaster preparedness, cyber security, food-borne hazards, have demonstrated the benefits of sharing data, experiences and lessons learned in assessing and managing risk. Here we explore the concept of a Shared Risk Framework (SRF) in the context of critical infrastructure assessments. In this exploration, key elements of an SRF are introduced and initial instantiations demonstrated by way of three water utility assessments. Results from these three demonstrations were then combined with results from four other risk assessments developed using a different risk assessment application by a different set of analysts. Through this comparison we were able to explore potential challenges and benefits from implementation of a SRF. Challenges included both the capacity and interest of local utilities to conduct a shared risk assessment; particularly, wide scale adoption of any SRF will require a clear demonstration that such an effort supports the basic mission of the utility, adds benefit to the utility, and protects utility data from unintended access or misuse. In terms of benefits, anonymous sharing of results among utilities could provide the added benefits of recognizing and correcting bias; identifying 'unknown, unknowns'; assisting self-assessment and benchmarking for the local utility; and providing a basis for treating shared assets and/or threats across multiple utilities. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:37 / 47
页数:11
相关论文
共 26 条
[1]  
AIChE American Institute of Chemical Engineers Center for Chemical Process Safety, 2000, GUID CHEM PROC SAF G
[2]  
[Anonymous], 2010, REV DEP HOM SEC APPR
[3]   How useful is quantitative risk assessment? [J].
Apostolakis, GE .
RISK ANALYSIS, 2004, 24 (03) :515-520
[4]  
AWWA American Water Works Association, 2013, AWWA J100 10R13 RISK, P136
[5]  
BEA (U.S. Bureau of Economic Analysis), 2017, REG EC ACC
[6]  
Billy T. J., 2002, P GLOB FOR FOOD SAF, P128
[7]  
Brashear J. P., 2008, RISK ANAL MANAGEMENT
[8]  
Chauhan S. S., 2003, AUSTR COMM LARG DAMS
[9]  
DHS U. S. Department of Homeland Security, 2017, WHAT IS CRIT INFR
[10]  
DOT Departement of Transportation, 2014 BEN COST AN GUI