TY - JOUR
T1 - Decentralized water reuse
T2 - 12th International Conference on Computing and Control for the Water Industry, CCWI 2013
AU - Hwang, H.
AU - Forrester, A.
AU - Lansey, K.
N1 - Funding Information:
This material is based in part upon work supported by the National Science Foundation under Grant No. 083590. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).
PY - 2014
Y1 - 2014
N2 - Resilience is related to the system functionality loss and the failure event duration (Bruneau et al. 2003). System redundancy and robustness affect the severity or functionality loss while the recovery time is largely related to the resource available and rapidity of the response. The purpose of this study is to investigate the resilience of a regional water supply system (RWSS) through a criticality analysis of five RWSS components. The relative importance was evaluated under two management/design conditions: (1) centralized versus decentralized wastewater treatment, and (2) decentralized wastewater plant location. For this study, the regional water supply system of a portion of the Tucson metropolitan area in Arizona was modeled. A Linear Programming (LP) flow allocation model determines the optimal flow allocation from multiple sources to users by minimizing the operational cost. The RWSS resilience was quantified by the failure, that is, the volume of water that was not delivered to users during the component failure of known duration.
AB - Resilience is related to the system functionality loss and the failure event duration (Bruneau et al. 2003). System redundancy and robustness affect the severity or functionality loss while the recovery time is largely related to the resource available and rapidity of the response. The purpose of this study is to investigate the resilience of a regional water supply system (RWSS) through a criticality analysis of five RWSS components. The relative importance was evaluated under two management/design conditions: (1) centralized versus decentralized wastewater treatment, and (2) decentralized wastewater plant location. For this study, the regional water supply system of a portion of the Tucson metropolitan area in Arizona was modeled. A Linear Programming (LP) flow allocation model determines the optimal flow allocation from multiple sources to users by minimizing the operational cost. The RWSS resilience was quantified by the failure, that is, the volume of water that was not delivered to users during the component failure of known duration.
KW - Centralized and decentralized wastewater treatment system
KW - Resilience
KW - Severity
KW - Unctionality
UR - http://www.scopus.com/inward/record.url?scp=84899694724&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84899694724&partnerID=8YFLogxK
U2 - 10.1016/j.proeng.2014.02.093
DO - 10.1016/j.proeng.2014.02.093
M3 - Conference article
AN - SCOPUS:84899694724
SN - 1877-7058
VL - 70
SP - 853
EP - 856
JO - Procedia Engineering
JF - Procedia Engineering
Y2 - 2 September 2013 through 4 September 2013
ER -