Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Abstract A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each d...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Liu, Shuming [verfasserIn] Liu, Wenjun Chen, Jinduan Wang, Qi

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2011

Schlagwörter:	demand coverage monitoring optimization water distribution network water quality

Anmerkung:	© Higher Education Press and Springer-Verlag Berlin Heidelberg 2011

Übergeordnetes Werk:	Enthalten in: Frontiers of environmental science & engineering in China - Beijing : Higher Education Press, 2007, 6(2011), 2 vom: 16. Aug., Seite 204-212
Übergeordnetes Werk:	volume:6 ; year:2011 ; number:2 ; day:16 ; month:08 ; pages:204-212

Links:	Volltext

DOI / URN:	10.1007/s11783-011-0364-9

Katalog-ID:	SPR022393781

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allfields	10.1007/s11783-011-0364-9 doi (DE-627)SPR022393781 (SPR)s11783-011-0364-9-e DE-627 ger DE-627 rakwb eng Liu, Shuming verfasserin aut Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Higher Education Press and Springer-Verlag Berlin Heidelberg 2011 Abstract A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydraulics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applications. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods. demand coverage (dpeaa)DE-He213 monitoring (dpeaa)DE-He213 optimization (dpeaa)DE-He213 water distribution network (dpeaa)DE-He213 water quality (dpeaa)DE-He213 Liu, Wenjun aut Chen, Jinduan aut Wang, Qi aut Enthalten in Frontiers of environmental science & engineering in China Beijing : Higher Education Press, 2007 6(2011), 2 vom: 16. Aug., Seite 204-212 (DE-627)545787661 (DE-600)2388869-6 1673-7520 nnns volume:6 year:2011 number:2 day:16 month:08 pages:204-212 https://dx.doi.org/10.1007/s11783-011-0364-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 AR 6 2011 2 16 08 204-212
spelling	10.1007/s11783-011-0364-9 doi (DE-627)SPR022393781 (SPR)s11783-011-0364-9-e DE-627 ger DE-627 rakwb eng Liu, Shuming verfasserin aut Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Higher Education Press and Springer-Verlag Berlin Heidelberg 2011 Abstract A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydraulics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applications. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods. demand coverage (dpeaa)DE-He213 monitoring (dpeaa)DE-He213 optimization (dpeaa)DE-He213 water distribution network (dpeaa)DE-He213 water quality (dpeaa)DE-He213 Liu, Wenjun aut Chen, Jinduan aut Wang, Qi aut Enthalten in Frontiers of environmental science & engineering in China Beijing : Higher Education Press, 2007 6(2011), 2 vom: 16. Aug., Seite 204-212 (DE-627)545787661 (DE-600)2388869-6 1673-7520 nnns volume:6 year:2011 number:2 day:16 month:08 pages:204-212 https://dx.doi.org/10.1007/s11783-011-0364-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 AR 6 2011 2 16 08 204-212
allfields_unstemmed	10.1007/s11783-011-0364-9 doi (DE-627)SPR022393781 (SPR)s11783-011-0364-9-e DE-627 ger DE-627 rakwb eng Liu, Shuming verfasserin aut Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Higher Education Press and Springer-Verlag Berlin Heidelberg 2011 Abstract A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydraulics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applications. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods. demand coverage (dpeaa)DE-He213 monitoring (dpeaa)DE-He213 optimization (dpeaa)DE-He213 water distribution network (dpeaa)DE-He213 water quality (dpeaa)DE-He213 Liu, Wenjun aut Chen, Jinduan aut Wang, Qi aut Enthalten in Frontiers of environmental science & engineering in China Beijing : Higher Education Press, 2007 6(2011), 2 vom: 16. Aug., Seite 204-212 (DE-627)545787661 (DE-600)2388869-6 1673-7520 nnns volume:6 year:2011 number:2 day:16 month:08 pages:204-212 https://dx.doi.org/10.1007/s11783-011-0364-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 AR 6 2011 2 16 08 204-212
allfieldsGer	10.1007/s11783-011-0364-9 doi (DE-627)SPR022393781 (SPR)s11783-011-0364-9-e DE-627 ger DE-627 rakwb eng Liu, Shuming verfasserin aut Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Higher Education Press and Springer-Verlag Berlin Heidelberg 2011 Abstract A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydraulics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applications. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods. demand coverage (dpeaa)DE-He213 monitoring (dpeaa)DE-He213 optimization (dpeaa)DE-He213 water distribution network (dpeaa)DE-He213 water quality (dpeaa)DE-He213 Liu, Wenjun aut Chen, Jinduan aut Wang, Qi aut Enthalten in Frontiers of environmental science & engineering in China Beijing : Higher Education Press, 2007 6(2011), 2 vom: 16. Aug., Seite 204-212 (DE-627)545787661 (DE-600)2388869-6 1673-7520 nnns volume:6 year:2011 number:2 day:16 month:08 pages:204-212 https://dx.doi.org/10.1007/s11783-011-0364-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 AR 6 2011 2 16 08 204-212
allfieldsSound	10.1007/s11783-011-0364-9 doi (DE-627)SPR022393781 (SPR)s11783-011-0364-9-e DE-627 ger DE-627 rakwb eng Liu, Shuming verfasserin aut Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Higher Education Press and Springer-Verlag Berlin Heidelberg 2011 Abstract A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydraulics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applications. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods. demand coverage (dpeaa)DE-He213 monitoring (dpeaa)DE-He213 optimization (dpeaa)DE-He213 water distribution network (dpeaa)DE-He213 water quality (dpeaa)DE-He213 Liu, Wenjun aut Chen, Jinduan aut Wang, Qi aut Enthalten in Frontiers of environmental science & engineering in China Beijing : Higher Education Press, 2007 6(2011), 2 vom: 16. Aug., Seite 204-212 (DE-627)545787661 (DE-600)2388869-6 1673-7520 nnns volume:6 year:2011 number:2 day:16 month:08 pages:204-212 https://dx.doi.org/10.1007/s11783-011-0364-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 AR 6 2011 2 16 08 204-212
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author	Liu, Shuming
spellingShingle	Liu, Shuming misc demand coverage misc monitoring misc optimization misc water distribution network misc water quality Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification
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topic_title	Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification demand coverage (dpeaa)DE-He213 monitoring (dpeaa)DE-He213 optimization (dpeaa)DE-He213 water distribution network (dpeaa)DE-He213 water quality (dpeaa)DE-He213
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title	Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification
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title_full	Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification
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title_sort	optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification
title_auth	Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification
abstract	Abstract A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydraulics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applications. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods. © Higher Education Press and Springer-Verlag Berlin Heidelberg 2011
abstractGer	Abstract A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydraulics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applications. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods. © Higher Education Press and Springer-Verlag Berlin Heidelberg 2011
abstract_unstemmed	Abstract A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydraulics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applications. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods. © Higher Education Press and Springer-Verlag Berlin Heidelberg 2011
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title_short	Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification
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Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

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