Modeling of Drinking Water Distribution Networks Using Stochastic Demand

Residential water demand is one of the most difficult parameters to determine when modeling drinking water distribution networks. It has been proven to be a stochastic process that can be characterized as a series of rectangular pulses with a set intensity, duration and frequency. These parameters c...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Water resources management Ročník 26; číslo 7; s. 1779 - 1792
Hlavní autori:	Alcocer-Yamanaka, Victor H., Tzatchkov, Velitchko G., Arreguin-Cortes, Felipe I.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Netherlands 01.05.2012 Springer Springer Nature B.V
Predmet:	Atmospheric Sciences Civil Engineering Demand Drinking water Earth and Environmental Science Earth Sciences Earth, ocean, space Environment Exact sciences and technology Flow measurement Flow rate Flow rates Geotechnical Engineering & Applied Earth Sciences Hydraulics Hydrogeology Hydrology. Hydrogeology Hydrology/Water Resources Marketing Mathematical models Networks Residential Sea level Software Stochastic models Stochastic processes Stochasticity Studies system optimization Water demand Water distribution Water resources Water resources management Water supply engineering Sinaloa Mexico Mexico Residential water demand Water distribution network models Neyman-Scott Rectangular Pulse (NSRP) model Stochastic water demand simulation pressure networks North America frequency stochastic models solution optimization water resource management drinking water stochastic processes methodology
ISSN:	0920-4741, 1573-1650
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	Residential water demand is one of the most difficult parameters to determine when modeling drinking water distribution networks. It has been proven to be a stochastic process that can be characterized as a series of rectangular pulses with a set intensity, duration and frequency. These parameters can be determined using stochastic models such as the Neyman-Scott Rectangular Pulse (NSRP) model. The NSRP model is based on the solution of a non-linear optimization problem. This solution involves theoretical moments that represent the synthetic demand series (equiprobable) and the observed moments (field measurements) that statistically establish the measured demand series. The NSRP model has been applied for residential demand, and the results have been published. However, this model has not been validated for a real distribution network or compared with traditional methods. The present study compared the results of synthetic stochastic demand series, which were calculated using the NSRP model, applied to the determination of pressures, flow rates and leaks; to the results obtained using traditional simulation methods, which use the curve of hourly variation in demand, and to actual pressure and flow rate measurements. The Humaya sector of Culiacan, Sinaloa, Mexico, was used as the study area.
AbstractList	Residential water demand is one of the most difficult parameters to determine when modeling drinking water distribution networks. It has been proven to be a stochastic process that can be characterized as a series of rectangular pulses with a set intensity, duration and frequency. These parameters can be determined using stochastic models such as the Neyman-Scott Rectangular Pulse (NSRP) model. The NSRP model is based on the solution of a non-linear optimization problem. This solution involves theoretical moments that represent the synthetic demand series (equiprobable) and the observed moments (field measurements) that statistically establish the measured demand series. The NSRP model has been applied for residential demand, and the results have been published. However, this model has not been validated for a real distribution network or compared with traditional methods. The present study compared the results of synthetic stochastic demand series, which were calculated using the NSRP model, applied to the determination of pressures, flow rates and leaks; to the results obtained using traditional simulation methods, which use the curve of hourly variation in demand, and to actual pressure and flow rate measurements. The Humaya sector of Culiacan, Sinaloa, Mexico, was used as the study area. Residential water demand is one of the most difficult parameters to determine when modeling drinking water distribution networks. It has been proven to be a stochastic process that can be characterized as a series of rectangular pulses with a set intensity, duration and frequency. These parameters can be determined using stochastic models such as the Neyman-Scott Rectangular Pulse (NSRP) model. The NSRP model is based on the solution of a non-linear optimization problem. This solution involves theoretical moments that represent the synthetic demand series (equiprobable) and the observed moments (field measurements) that statistically establish the measured demand series. The NSRP model has been applied for residential demand, and the results have been published. However, this model has not been validated for a real distribution network or compared with traditional methods. The present study compared the results of synthetic stochastic demand series, which were calculated using the NSRP model, applied to the determination of pressures, flow rates and leaks; to the results obtained using traditional simulation methods, which use the curve of hourly variation in demand, and to actual pressure and flow rate measurements. The Humaya sector of Culiacan, Sinaloa, Mexico, was used as the study area.[PUBLICATION ABSTRACT]
Author	Alcocer-Yamanaka, Victor H. Arreguin-Cortes, Felipe I. Tzatchkov, Velitchko G.
Author_xml	– sequence: 1 givenname: Victor H. surname: Alcocer-Yamanaka fullname: Alcocer-Yamanaka, Victor H. organization: Mexican Institute of Water Technology – sequence: 2 givenname: Velitchko G. surname: Tzatchkov fullname: Tzatchkov, Velitchko G. email: velitchk@tlaloc.imta.mx organization: Mexican Institute of Water Technology – sequence: 3 givenname: Felipe I. surname: Arreguin-Cortes fullname: Arreguin-Cortes, Felipe I. organization: Comision Nacional del Agua
BackLink	http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25849799$$DView record in Pascal Francis
BookMark	eNqFkU1PGzEQhq2KSg0fP6C3lRBSL1s8Xq-9PiLSlkqBHgBxtBx_gMnGTm1HFf--XgVVFRJw8hyeZ8Yz7z7aCzFYhD4D_goY89MMQJhoMZBWCC5a8gHNoOddC6zHe2iGBcEt5RQ-of2cHzGulsAzdHEZjR19uG-ia-bJh9VU36liUzP3uSS_3BYfQ3Nly5-YVrm5zRNxXaJ-ULl43cztWgVziD46NWZ79PweoNvv327OL9rFrx8_z88WraZASkuxpnW2EU6wrsPOEkWgd2CY0oPRgzBguOjMgJW1tO8MGXSvleOD6whb6u4Afdn13aT4e2tzkWuftR1HFWzcZgmUMsIJY8P7KAYuOMekr-jxC_QxblOoi0xURxmFgVbq5JlSWavRJRW0z3KT_FqlJ0n6gdbbi8rBjtMp5pys-4cAllNccheXrHHJKS5JqsNfONoXNZ2-JOXHN02yM3OdEu5t-v_vr0l_AWXmqYE
CODEN	WRMAEJ
CitedBy_id	crossref_primary_10_1016_j_proeng_2017_03_260 crossref_primary_10_2166_washdev_2016_147 crossref_primary_10_1080_1573062X_2020_1734947 crossref_primary_10_1061__ASCE_WR_1943_5452_0001269 crossref_primary_10_1007_s11269_016_1361_3 crossref_primary_10_1051_e3sconf_202123603016 crossref_primary_10_1080_1573062X_2021_1925705 crossref_primary_10_2166_hydro_2015_150 crossref_primary_10_3390_w10101481 crossref_primary_10_1016_j_jclepro_2017_05_140 crossref_primary_10_1061__ASCE_WR_1943_5452_0000763 crossref_primary_10_1016_j_energy_2017_03_079 crossref_primary_10_1080_1573062X_2022_2155853 crossref_primary_10_1061__ASCE_WR_1943_5452_0000557 crossref_primary_10_1007_s11269_024_03823_x crossref_primary_10_1061__ASCE_WR_1943_5452_0000357 crossref_primary_10_1061__ASCE_WR_1943_5452_0000995 crossref_primary_10_1016_j_envsoft_2016_02_019 crossref_primary_10_1080_1573062X_2018_1424211 crossref_primary_10_1016_j_proeng_2015_08_1006 crossref_primary_10_1061__ASCE_WR_1943_5452_0001282 crossref_primary_10_1016_j_proeng_2015_08_1007 crossref_primary_10_3390_w15101895 crossref_primary_10_1016_j_jclepro_2022_131828 crossref_primary_10_3390_w11050885 crossref_primary_10_2166_ws_2016_102 crossref_primary_10_1051_e3sconf_202339701009 crossref_primary_10_2166_ws_2022_135 crossref_primary_10_1038_s41396_018_0101_5 crossref_primary_10_3390_su12155919 crossref_primary_10_1080_10286608_2015_1126823 crossref_primary_10_1016_j_proeng_2016_07_429 crossref_primary_10_1080_1573062X_2014_992916 crossref_primary_10_3390_w9030224 crossref_primary_10_1080_1573062X_2015_1011666 crossref_primary_10_2166_hydro_2022_046 crossref_primary_10_2166_ws_2021_021 crossref_primary_10_3390_w12072019 crossref_primary_10_3390_s20185339 crossref_primary_10_1016_j_jclepro_2016_07_017 crossref_primary_10_1029_2022WR033669 crossref_primary_10_1061__ASCE_WR_1943_5452_0001471 crossref_primary_10_1061__ASCE_WR_1943_5452_0000935 crossref_primary_10_1016_j_jher_2021_09_003 crossref_primary_10_1134_S004060152204005X crossref_primary_10_1016_j_ifacol_2017_08_616 crossref_primary_10_1061__ASCE_WR_1943_5452_0000613 crossref_primary_10_1016_j_envsoft_2017_02_015 crossref_primary_10_1039_D1RA03680G
Cites_doi	10.1061/(ASCE)0733-9429(1995)121:3(232) 10.1029/WR025i002p00295 10.1023/A:1024100518186 10.1098/rspa.1987.0039 10.1061/40685(2003)107 10.1029/WR020i011p01611
ContentType	Journal Article
Copyright	Springer Science+Business Media B.V. 2012 2015 INIST-CNRS
Copyright_xml	– notice: Springer Science+Business Media B.V. 2012 – notice: 2015 INIST-CNRS
DBID	AAYXX CITATION IQODW 3V. 7QH 7ST 7UA 7WY 7WZ 7XB 87Z 88I 8FD 8FE 8FG 8FH 8FK 8FL ABJCF ABUWG AEUYN AFKRA ATCPS AZQEC BBNVY BENPR BEZIV BGLVJ BHPHI BKSAR C1K CCPQU DWQXO F1W FR3 FRNLG F~G GNUQQ H97 HCIFZ K60 K6~ KR7 L.- L.0 L.G L6V LK8 M0C M2P M7P M7S PATMY PCBAR PHGZM PHGZT PKEHL PQBIZ PQBZA PQEST PQGLB PQQKQ PQUKI PRINS PTHSS PYCSY Q9U SOI 7S9 L.6
DOI	10.1007/s11269-012-9979-2
DatabaseName	CrossRef Pascal-Francis ProQuest Central (Corporate) Aqualine Environment Abstracts Water Resources Abstracts ABI/INFORM Collection ABI/INFORM Global (PDF only) ProQuest Central (purchase pre-March 2016) ABI/INFORM Collection Science Database (Alumni Edition) Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Collection ProQuest Central (Alumni) (purchase pre-March 2016) ABI/INFORM Collection (Alumni Edition) ProQuest SciTech Premium Collection Technology Collection Materials Science & Engineering Database ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Agricultural & Environmental Science Collection ProQuest Central Essentials Local Electronic Collection Information Biological Science Collection ProQuest Central Business Premium Collection Technology collection Natural Science Collection Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database Business Premium Collection (Alumni) ABI/INFORM Global (Corporate) ProQuest Central Student Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality SciTech Premium Collection ProQuest Business Collection (Alumni Edition) ProQuest Business Collection Civil Engineering Abstracts ABI/INFORM Professional Advanced ABI/INFORM Professional Standard Aquatic Science & Fisheries Abstracts (ASFA) Professional ProQuest Engineering Collection Biological Sciences ABI/INFORM Global Science Database Biological Science Database Engineering Database Environmental Science Database Earth, Atmospheric & Aquatic Science Database ProQuest Central Premium ProQuest One Academic ProQuest One Academic Middle East (New) ProQuest One Business (UW System Shared) ProQuest One Business (Alumni) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection Environmental Science Collection ProQuest Central Basic Environment Abstracts AGRICOLA AGRICOLA - Academic
DatabaseTitle	CrossRef ProQuest Business Collection (Alumni Edition) ProQuest Central Student ProQuest Central Essentials SciTech Premium Collection ProQuest Central China ABI/INFORM Complete Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality Water Resources Abstracts Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Natural Science Collection Biological Science Collection ProQuest Central (New) Engineering Collection Business Premium Collection ABI/INFORM Global Engineering Database ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database ProQuest Technology Collection Biological Science Database ProQuest Business Collection Aqualine Environmental Science Collection ProQuest One Academic UKI Edition Environmental Science Database Engineering Research Database ProQuest One Academic ProQuest One Academic (New) ABI/INFORM Global (Corporate) ProQuest One Business Aquatic Science & Fisheries Abstracts (ASFA) Professional Technology Collection Technology Research Database ProQuest One Academic Middle East (New) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest Natural Science Collection ProQuest Central Earth, Atmospheric & Aquatic Science Collection ABI/INFORM Professional Advanced ProQuest Engineering Collection ABI/INFORM Professional Standard ProQuest Central Korea Agricultural & Environmental Science Collection ABI/INFORM Complete (Alumni Edition) Civil Engineering Abstracts ABI/INFORM Global (Alumni Edition) ProQuest Central Basic ProQuest Science Journals ProQuest SciTech Collection ASFA: Aquatic Sciences and Fisheries Abstracts Materials Science & Engineering Collection ProQuest One Business (Alumni) Environment Abstracts ProQuest Central (Alumni) Business Premium Collection (Alumni) AGRICOLA AGRICOLA - Academic
DatabaseTitleList	AGRICOLA Technology Research Database ProQuest Business Collection (Alumni Edition)
Database_xml	– sequence: 1 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1573-1650
EndPage	1792
ExternalDocumentID	2660391641 25849799 10_1007_s11269_012_9979_2
Genre	Feature
GeographicLocations	Sinaloa Mexico Mexico
GeographicLocations_xml	– name: Mexico
GroupedDBID	-5A -5G -5~ -BR -EM -Y2 -~C .86 .VR 06D 0R~ 0VY 123 1N0 1SB 2.D 203 28- 29R 2J2 2JN 2JY 2KG 2KM 2LR 2P1 2VQ 2~H 30V 3V. 4.4 406 408 409 40D 40E 4P2 5QI 5VS 67M 67Z 6NX 78A 7WY 7XC 88I 8CJ 8FE 8FG 8FH 8FL 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHBH AAHNG AAIAL AAJBT AAJKR AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABBBX ABBXA ABDZT ABECU ABFTD ABFTV ABHLI ABHQN ABJCF ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABQBU ABQSL ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABUWG ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACGOD ACHSB ACHXU ACIWK ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACPRK ACSNA ACZOJ ADBBV ADHHG ADHIR ADIMF ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFIE AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEUYN AEVLU AEXYK AFBBN AFEXP AFGCZ AFKRA AFLOW AFQWF AFRAH AFWTZ AFZKB AGAYW AGDGC AGGDS AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARMRJ ASPBG ATCPS AVWKF AXYYD AYJHY AZFZN AZQEC B-. BA0 BBNVY BBWZM BDATZ BENPR BEZIV BGLVJ BGNMA BHPHI BKSAR BPHCQ BSONS CAG CCPQU COF CS3 CSCUP D1J DDRTE DL5 DNIVK DPUIP DU5 DWQXO EBLON EBS ECGQY EDH EIOEI EJD ESBYG FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRNLG FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNUQQ GNWQR GQ6 GQ7 GQ8 GROUPED_ABI_INFORM_COMPLETE GXS H13 HCIFZ HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I09 IHE IJ- IKXTQ ITM IWAJR IXC IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ K60 K6~ KDC KOV KOW L6V L8X LAK LK5 LK8 LLZTM M0C M2P M4Y M7P M7R M7S MA- N2Q NB0 NDZJH NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM OVD P19 P2P PATMY PCBAR PF0 PQBIZ PQBZA PQQKQ PROAC PT4 PT5 PTHSS PYCSY Q2X QOK QOS R4E R89 R9I RHV RIG RNI ROL RPX RSV RZC RZE RZK S16 S1Z S26 S27 S28 S3B SAP SCK SCLPG SDH SDM SEV SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 T16 TEORI TH9 TSG TSK TSV TUC U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK6 WK8 YLTOR Z45 Z5O Z7R Z7X Z7Y Z7Z Z81 Z83 Z86 Z88 Z8M Z8S Z8T Z8U Z8W Z8Z Z92 ZMTXR ~02 ~A9 ~EX ~KM AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC ADHKG AEZWR AFDZB AFFHD AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP ATHPR AYFIA BANNL CITATION PHGZM PHGZT PQGLB IQODW 7QH 7ST 7UA 7XB 8FD 8FK C1K F1W FR3 H97 KR7 L.- L.0 L.G PKEHL PQEST PQUKI PRINS Q9U SOI PUEGO 7S9 L.6
ID	FETCH-LOGICAL-c412t-40c4010d9f96330fe2a215f1d6ac8dc89d1d793d80aee453d28c5caf78f326bc3
IEDL.DBID	RSV
ISICitedReferencesCount	56
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000303506900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0920-4741
IngestDate	Thu Nov 20 07:43:48 EST 2025 Fri Sep 05 11:59:44 EDT 2025 Tue Nov 04 19:47:15 EST 2025 Mon Jul 21 09:14:26 EDT 2025 Sat Nov 29 02:11:38 EST 2025 Tue Nov 18 22:22:16 EST 2025 Fri Feb 21 02:26:49 EST 2025
IsPeerReviewed	true
IsScholarly	true
Issue	7
Keywords	Residential water demand Water distribution network models Neyman-Scott Rectangular Pulse (NSRP) model Stochastic water demand simulation pressure networks North America frequency stochastic models solution optimization water resource management drinking water stochastic processes methodology
Language	English
License	http://www.springer.com/tdm CC BY 4.0
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c412t-40c4010d9f96330fe2a215f1d6ac8dc89d1d793d80aee453d28c5caf78f326bc3
Notes	SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
PQID	1013464184
PQPubID	54174
PageCount	14
ParticipantIDs	proquest_miscellaneous_1446272668 proquest_miscellaneous_1017977025 proquest_journals_1013464184 pascalfrancis_primary_25849799 crossref_primary_10_1007_s11269_012_9979_2 crossref_citationtrail_10_1007_s11269_012_9979_2 springer_journals_10_1007_s11269_012_9979_2
PublicationCentury	2000
PublicationDate	2012-05-01
PublicationDateYYYYMMDD	2012-05-01
PublicationDate_xml	– month: 05 year: 2012 text: 2012-05-01 day: 01
PublicationDecade	2010
PublicationPlace	Dordrecht
PublicationPlace_xml	– name: Dordrecht
PublicationSubtitle	An International Journal - Published for the European Water Resources Association (EWRA)
PublicationTitle	Water resources management
PublicationTitleAbbrev	Water Resour Manage
PublicationYear	2012
Publisher	Springer Netherlands Springer Springer Nature B.V
Publisher_xml	– name: Springer Netherlands – name: Springer – name: Springer Nature B.V
References	Rodriguez-IturbeICoxDEIshamVSome models for rainfall based on stochastic point processProc R Soc London1987A 410269288 Tzatchkov V (2007) Datos Básicos. Manual de diseño de agua potable, alcantarillado y saneamiento, Subdirección General e Infraestructura Hidráulica Urbana e Industrial-Gerencia de Normas Técnicas-Comisión Nacional del Agua- Instituto Mexicano de Tecnología del Agua, Third Edition, p 89 (in Spanish) Alcocer-Yamanaka, V, Tzatchkov, V. (2004) Estudio de la variación estocástica de la demanda en redes de agua potable. Instituto Mexicano de Tecnología del Agua. Research project report (in Spanish). Alcocer-YamanakaVTzatchkovVBourguettVDesagregación temporal de lecturas acumuladas de consumo de agua potable por medio de métodos estocásticosIntersci (Venezuela)20083310725732(in Spanish) Rodriguez-IturbeIGuptaVWaymireEScale considerations in the modeling of temporal rainfallWater Resour Res198420111611161910.1029/WR020i011p01611 Guercio R, Magini R, Pallavicini I (2001) Instantaneous residencial water demand as stochastic point process. Water Resources Management. Brebbia et al. (Eds) WIT Press, pp 129–138 Feliciano D (2005) Análisis y caracterización estocástica del consumo de agua potable en viviendas de Culiacán, Sinaloa, MSc Thesis, UNAM (in Spanish) Buchberger SG, Li Z, Tzatchkov VG (2003c) Hydraulic characterization of pipe network subject to stochastic water demands, Water Resources Management. II, Editor: C.A. Brebbia, WIT Press, Southampton, Boston, 2003, pp 161–170 Alcocer-Yamanaka V, Tzatchkov V, Zheng W (2009b) Spectral analysis of instantaneous residential water demand series, Integrating Water Systems - Computing and Control in the Water Industry (CCWI), CRCPress/A.A. Balkema Publishers – Taylor & Francis Group, Joby Boxall and Cêdo Maksimović - Editors 2009, Sheffield, UK. pp 503–508 Alcocer-Yamanaka V, Aldama A, Tzatchkov V, Espinosa A, Arreguín F (2009a) Análisis espectral de registros de consumo doméstico. Ing. Hidraul. en México, volume XXIV, num. 4, Oct–Dec 2009 (in Spanish) Mellor D (2007) Generalized Neyman-Scott model, Version 3.3.1 beta. GNU (General Public License), Copyright 1989, 1991 Free Software Foundation Inc, Cambridge, MA, USA Tzatchkov V, Alcocer-Yamanaka V, Arreguín CF, Feliciano G (2005) Medición y caracterización estocástica de la demanda instantánea de agua potable. Ing. Hidraul. en México, Vol. XX, No.1, Jan–March 2005 (in Spanish) Alcocer-Yamanaka V, Tzatchkov V, Arreguín CF (2004) Modelo de calidad del agua en redes de distribución. Ing. Hidraul. en México. volume XIX, num. 2. April–June 2004 (in Spanish) AlvisiSFranchiniMMarinelliAA stochastic model for representing drinking water demand at residential levelWater Resour Manag200317319722210.1023/A:1024100518186 Buchberger SG, Li Z, Tzatchkov VG (2003b) Hydraulic behavior of pipe networks subject to random water demands, World Water & Environmental Resources Congress 2003, Philadelphia, PA, June 23 to 26, 2003 Alcocer-Yamanaka V, Tzatchkov V (2003) Modelo de transporte de sustancias en flujo no permanente en redes de agua potable. Instituto Mexicano de Tecnología del Agua–Comisión Nacional del Agua. Research project report (in Spanish). Alcocer-Yamanaka V, Tzatchkov V, García R, Buchberger S, Arreguín F, León T (2008a) Modelación estocástica del consumo doméstico empleando el esquema de Neyman-Scott. Ing. Hidraul. en México, volume XXIII, num. 3, July–Sept 2008, pp. 105–121 (in Spanish) Buchberger SG, Carter JT, Lee Y, Schade TG (2003a) Random demands, travel times, and water quality in deadends. AWWA Research Foundation, 2003 EntekhabiDRodríguez-IturbeIEaglesonPProbabilistic representation of the temporal rainfall process by a modified Neyman-Scott rectangular pulses model: parameter estimation and validationWater Resour Res198925229530210.1029/WR025i002p00295 Alcocer-Yamanaka V, Tzatchkov V (2002) Implementación y Calibración de un modelo de calidad del agua en sistemas de agua potable. Instituto Mexicano de Tecnología del Agua–Comisión Nacional del Agua. Research project report (in Spanish) Nadimpalli G, Buchberger S (2003) Estimation of parameters for Poisson pulse model of residential water demands. Technical report, Deparment of Civil and Environmental Engineering, University of Cincinnati, p 43. Tzatchkov V, Alcocer-Yamanaka YV, Arreguín CF (2004) Decaimiento del cloro por reacción con el agua en redes de distribución. Ing. Hidraul. en México volume XIX, num. 1. Jan–March 2004 (in Spanish) KiyaFMurakawaSDesign load for water supply in buildings1989A.A. Balkema/RotterdamTokyo EntekhabiDBrasRParameter estimation and sensitivity analysis for the modified Barlett-Lewis rectangular pulses model of rainfallJ Geophys Res199095D320932100 Bazaraa M, Sherali H, Shetty CM (1993) Nonlinear programming: theory and algorithms. Wiley Alcocer-Yamanaka V (2007) Flujo estocástico y transporte en redes de distribución de agua potable, PhD Thesis, Universidad Nacional Autónoma de México, p 240 (in Spanish) BuchbergerSWuLA model for instantaneous residential water demandsJ Hydraul Eng ASCE1995121323224610.1061/(ASCE)0733-9429(1995)121:3(232) 9979_CR19 9979_CR16 D Entekhabi (9979_CR17) 1989; 25 9979_CR15 9979_CR18 I Rodriguez-Iturbe (9979_CR23) 1984; 20 F Kiya (9979_CR20) 1989 V Alcocer-Yamanaka (9979_CR7) 2008; 33 9979_CR11 9979_CR14 9979_CR13 S Buchberger (9979_CR12) 1995; 121 9979_CR27 9979_CR26 I Rodriguez-Iturbe (9979_CR24) 1987; A 410 9979_CR1 9979_CR2 9979_CR3 9979_CR4 S Alvisi (9979_CR10) 2003; 17 9979_CR5 9979_CR22 9979_CR6 9979_CR25 9979_CR8 9979_CR9 9979_CR21
References_xml	– reference: Alcocer-Yamanaka V, Tzatchkov V, Zheng W (2009b) Spectral analysis of instantaneous residential water demand series, Integrating Water Systems - Computing and Control in the Water Industry (CCWI), CRCPress/A.A. Balkema Publishers – Taylor & Francis Group, Joby Boxall and Cêdo Maksimović - Editors 2009, Sheffield, UK. pp 503–508 – reference: EntekhabiDRodríguez-IturbeIEaglesonPProbabilistic representation of the temporal rainfall process by a modified Neyman-Scott rectangular pulses model: parameter estimation and validationWater Resour Res198925229530210.1029/WR025i002p00295 – reference: Mellor D (2007) Generalized Neyman-Scott model, Version 3.3.1 beta. GNU (General Public License), Copyright 1989, 1991 Free Software Foundation Inc, Cambridge, MA, USA – reference: Alcocer-Yamanaka V, Tzatchkov V (2003) Modelo de transporte de sustancias en flujo no permanente en redes de agua potable. Instituto Mexicano de Tecnología del Agua–Comisión Nacional del Agua. Research project report (in Spanish). – reference: Guercio R, Magini R, Pallavicini I (2001) Instantaneous residencial water demand as stochastic point process. Water Resources Management. Brebbia et al. (Eds) WIT Press, pp 129–138 – reference: AlvisiSFranchiniMMarinelliAA stochastic model for representing drinking water demand at residential levelWater Resour Manag200317319722210.1023/A:1024100518186 – reference: Feliciano D (2005) Análisis y caracterización estocástica del consumo de agua potable en viviendas de Culiacán, Sinaloa, MSc Thesis, UNAM (in Spanish) – reference: Alcocer-Yamanaka V (2007) Flujo estocástico y transporte en redes de distribución de agua potable, PhD Thesis, Universidad Nacional Autónoma de México, p 240 (in Spanish) – reference: Rodriguez-IturbeIGuptaVWaymireEScale considerations in the modeling of temporal rainfallWater Resour Res198420111611161910.1029/WR020i011p01611 – reference: Nadimpalli G, Buchberger S (2003) Estimation of parameters for Poisson pulse model of residential water demands. Technical report, Deparment of Civil and Environmental Engineering, University of Cincinnati, p 43. – reference: KiyaFMurakawaSDesign load for water supply in buildings1989A.A. Balkema/RotterdamTokyo – reference: Buchberger SG, Li Z, Tzatchkov VG (2003b) Hydraulic behavior of pipe networks subject to random water demands, World Water & Environmental Resources Congress 2003, Philadelphia, PA, June 23 to 26, 2003 – reference: Tzatchkov V (2007) Datos Básicos. Manual de diseño de agua potable, alcantarillado y saneamiento, Subdirección General e Infraestructura Hidráulica Urbana e Industrial-Gerencia de Normas Técnicas-Comisión Nacional del Agua- Instituto Mexicano de Tecnología del Agua, Third Edition, p 89 (in Spanish) – reference: Alcocer-Yamanaka, V, Tzatchkov, V. (2004) Estudio de la variación estocástica de la demanda en redes de agua potable. Instituto Mexicano de Tecnología del Agua. Research project report (in Spanish). – reference: BuchbergerSWuLA model for instantaneous residential water demandsJ Hydraul Eng ASCE1995121323224610.1061/(ASCE)0733-9429(1995)121:3(232) – reference: Tzatchkov V, Alcocer-Yamanaka YV, Arreguín CF (2004) Decaimiento del cloro por reacción con el agua en redes de distribución. Ing. Hidraul. en México volume XIX, num. 1. Jan–March 2004 (in Spanish) – reference: Alcocer-Yamanaka V, Tzatchkov V (2002) Implementación y Calibración de un modelo de calidad del agua en sistemas de agua potable. Instituto Mexicano de Tecnología del Agua–Comisión Nacional del Agua. Research project report (in Spanish) – reference: Alcocer-YamanakaVTzatchkovVBourguettVDesagregación temporal de lecturas acumuladas de consumo de agua potable por medio de métodos estocásticosIntersci (Venezuela)20083310725732(in Spanish) – reference: Buchberger SG, Carter JT, Lee Y, Schade TG (2003a) Random demands, travel times, and water quality in deadends. AWWA Research Foundation, 2003 – reference: Tzatchkov V, Alcocer-Yamanaka V, Arreguín CF, Feliciano G (2005) Medición y caracterización estocástica de la demanda instantánea de agua potable. Ing. Hidraul. en México, Vol. XX, No.1, Jan–March 2005 (in Spanish) – reference: Bazaraa M, Sherali H, Shetty CM (1993) Nonlinear programming: theory and algorithms. Wiley – reference: EntekhabiDBrasRParameter estimation and sensitivity analysis for the modified Barlett-Lewis rectangular pulses model of rainfallJ Geophys Res199095D320932100 – reference: Rodriguez-IturbeICoxDEIshamVSome models for rainfall based on stochastic point processProc R Soc London1987A 410269288 – reference: Alcocer-Yamanaka V, Tzatchkov V, Arreguín CF (2004) Modelo de calidad del agua en redes de distribución. Ing. Hidraul. en México. volume XIX, num. 2. April–June 2004 (in Spanish) – reference: Alcocer-Yamanaka V, Aldama A, Tzatchkov V, Espinosa A, Arreguín F (2009a) Análisis espectral de registros de consumo doméstico. Ing. Hidraul. en México, volume XXIV, num. 4, Oct–Dec 2009 (in Spanish) – reference: Alcocer-Yamanaka V, Tzatchkov V, García R, Buchberger S, Arreguín F, León T (2008a) Modelación estocástica del consumo doméstico empleando el esquema de Neyman-Scott. Ing. Hidraul. en México, volume XXIII, num. 3, July–Sept 2008, pp. 105–121 (in Spanish) – reference: Buchberger SG, Li Z, Tzatchkov VG (2003c) Hydraulic characterization of pipe network subject to stochastic water demands, Water Resources Management. II, Editor: C.A. Brebbia, WIT Press, Southampton, Boston, 2003, pp 161–170 – ident: 9979_CR2 – ident: 9979_CR4 – ident: 9979_CR11 – ident: 9979_CR8 – volume: 121 start-page: 232 issue: 3 year: 1995 ident: 9979_CR12 publication-title: J Hydraul Eng ASCE doi: 10.1061/(ASCE)0733-9429(1995)121:3(232) – ident: 9979_CR6 – ident: 9979_CR13 – ident: 9979_CR19 – ident: 9979_CR21 – volume-title: Design load for water supply in buildings year: 1989 ident: 9979_CR20 – volume: 25 start-page: 295 issue: 2 year: 1989 ident: 9979_CR17 publication-title: Water Resour Res doi: 10.1029/WR025i002p00295 – ident: 9979_CR25 – ident: 9979_CR27 – ident: 9979_CR3 – volume: 33 start-page: 725 issue: 10 year: 2008 ident: 9979_CR7 publication-title: Intersci (Venezuela) – volume: 17 start-page: 197 issue: 3 year: 2003 ident: 9979_CR10 publication-title: Water Resour Manag doi: 10.1023/A:1024100518186 – ident: 9979_CR16 – ident: 9979_CR9 – volume: A 410 start-page: 269 year: 1987 ident: 9979_CR24 publication-title: Proc R Soc London doi: 10.1098/rspa.1987.0039 – ident: 9979_CR15 doi: 10.1061/40685(2003)107 – ident: 9979_CR5 – ident: 9979_CR1 – ident: 9979_CR18 – ident: 9979_CR22 – ident: 9979_CR14 doi: 10.1061/40685(2003)107 – volume: 20 start-page: 1611 issue: 11 year: 1984 ident: 9979_CR23 publication-title: Water Resour Res doi: 10.1029/WR020i011p01611 – ident: 9979_CR26
SSID	ssj0010090
Score	2.2197623
Snippet	Residential water demand is one of the most difficult parameters to determine when modeling drinking water distribution networks. It has been proven to be a...
SourceID	proquest pascalfrancis crossref springer
SourceType	Aggregation Database Index Database Enrichment Source Publisher
StartPage	1779
SubjectTerms	Atmospheric Sciences Civil Engineering Demand Drinking water Earth and Environmental Science Earth Sciences Earth, ocean, space Environment Exact sciences and technology Flow measurement Flow rate Flow rates Geotechnical Engineering & Applied Earth Sciences Hydraulics Hydrogeology Hydrology. Hydrogeology Hydrology/Water Resources Marketing Mathematical models Networks Residential Sea level Software Stochastic models Stochastic processes Stochasticity Studies system optimization Water demand Water distribution Water resources Water resources management Water supply engineering
SummonAdditionalLinks	– databaseName: Science Database dbid: M2P link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LT9wwEB4VygFUUR5FhJdciRMoUuK87BOquqz2UFZIbQW3yPghkCDZbhZ-f2ecZGGRupeeYytOvpn4G89kPoBTbxWJjcLURAoDFJ2FKsvyMCucNmkeW6c80j-K8Vjc3srr7sCt6coq-2-i_1CbWtMZOXp3nKR5igHJxeRPSKpRlF3tJDRW4CMym5hKuq749TyLgPzBn7FIDJFS3Dr7rKb_dS7mOVUK8VDKQoZ8YV_6NFENviLXalsskM93-VK_DQ0__-8DbMFmR0DZt9ZituGDrXZg401bwl0YkUAa_abOascG01Zdgd0gK52yATXa7TSy2LitIW-YLzxgP2e1vlfU-JkN7JOqzBf4Pbz89X0UdooLoU5jPiOsMN6KjHTol0nkLFdICVxscqWF0UKa2KBDGxEpa9MsMVzoTCtXCIc08E4ne7Ba1ZXdB2at0y53QmRKptIYScwLyUmR5RY5Ux5A1L_vUnftyEkV47F8baRMEJUIUUkQlTyAs_mUSduLY9ngkwUQ5zM4Ui7KZQZw1ONUdn7blK8gBfB1fhk9jtIoqrL1sx9TIGtGsrhkDEbZvEDyIwI47y3m7W3-seqD5Ys6hHVOJusLLo9gdTZ9tsewpl9mD830xBv_X6nVCMo priority: 102 providerName: ProQuest
Title	Modeling of Drinking Water Distribution Networks Using Stochastic Demand
URI	https://link.springer.com/article/10.1007/s11269-012-9979-2 https://www.proquest.com/docview/1013464184 https://www.proquest.com/docview/1017977025 https://www.proquest.com/docview/1446272668
Volume	26
WOSCitedRecordID	wos000303506900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVPQU databaseName: ABI/INFORM Collection customDbUrl: eissn: 1573-1650 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0010090 issn: 0920-4741 databaseCode: 7WY dateStart: 19970201 isFulltext: true titleUrlDefault: https://www.proquest.com/abicomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ABI/INFORM Global customDbUrl: eissn: 1573-1650 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0010090 issn: 0920-4741 databaseCode: M0C dateStart: 19970201 isFulltext: true titleUrlDefault: https://search.proquest.com/abiglobal providerName: ProQuest – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 1573-1650 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0010090 issn: 0920-4741 databaseCode: M7P dateStart: 19970201 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Earth, Atmospheric & Aquatic Science Database customDbUrl: eissn: 1573-1650 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0010090 issn: 0920-4741 databaseCode: PCBAR dateStart: 19970201 isFulltext: true titleUrlDefault: https://search.proquest.com/eaasdb providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database (subscription) customDbUrl: eissn: 1573-1650 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0010090 issn: 0920-4741 databaseCode: M7S dateStart: 19970201 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: Environmental Science Database customDbUrl: eissn: 1573-1650 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0010090 issn: 0920-4741 databaseCode: PATMY dateStart: 19970201 isFulltext: true titleUrlDefault: http://search.proquest.com/environmentalscience providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1573-1650 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0010090 issn: 0920-4741 databaseCode: BENPR dateStart: 19970201 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Science Database customDbUrl: eissn: 1573-1650 dateEnd: 20171231 omitProxy: false ssIdentifier: ssj0010090 issn: 0920-4741 databaseCode: M2P dateStart: 19970201 isFulltext: true titleUrlDefault: https://search.proquest.com/sciencejournals providerName: ProQuest – providerCode: PRVAVX databaseName: Springer Standard Collection customDbUrl: eissn: 1573-1650 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0010090 issn: 0920-4741 databaseCode: RSV dateStart: 19970101 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3dT9swED8N2AMT2ve0MKg8aU-bIiXOh-3H0oJ4GFVF2WBPkecPMQnSqin7-7nLR6EIkODFUuRzYp19vt_lzncA3-pdkbgoTG2k0UAxWaizLA8z4Y1N89h5Xa_0TzEaybMzNW7vcVddtHvnkqxP6pvLbjHPKbaHh0oJFeK5u4HaTlK9huPJ76XrAEFD_WNFoV2Uor7sXJn3vWJFGW3NdIV88U1BixXEecdJWuuegzfPmvVbeN1CTdZv9sY7eOHK9_DqVgLCD3BIpdDoQjqbejacN3UU2CnizzkbUkrdthoWGzXR4hWrQwzYZDE155pSPLOhu9Sl_Qi_DvZPBodhW1shNGnMF7QqaFlFVnmUwCTyjmtU_j62uTbSGqlsbFF0rYy0c2mWWC5NZrQX0iPg-2uST7BeTkv3GZhz3vjcS5lplSprFWEshCEiyx2iozyAqGNyYdrE41T_4qK4SZlMTCqQSQUxqeABfF8OmTVZNx4j7q2s3HIER3BFXssAdrqlLFoJrSi0LUnzFA3cAL4uu1G2yGGiSze9qmkE4mOEhY_QoD3NBcIcGcCPbgvc_swDs95-EvUX2OS0h-pIyx1YX8yv3C68NP8X_6p5D9bE6Z8ebOztj8bH-HQUDajlY2pF006wf9w_OUI6EpdrOjwGjQ
linkProvider	Springer Nature
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3da9RAEB9qFayInxWjta6gL0og2Ww22QcR8SxXeh4FK_YtXfcDBU3Oy1Xxn_JvdGaTXHuC99YHn7NJNtnfzPxmZ3YG4GlAReaSWNhEo4Ni8ljnuYzzwhsrZOq8Dis9KabT8vhYHW7A7-EsDKVVDjoxKGrbGNojR-lOMyEFOiSvZt9j6hpF0dWhhUYHiwP36ye6bO3L_RGu7zPO994evRnHfVeB2IiUL2g-6FMkVnnEXpZ4xzWaPZ9aqU1pTalsahG0tky0cyLPLC9NbrQvSo9U55PJ8LmX4LKgymKUKsgPl1EL5CthT0ehSybQVA9R1HBUL-WSMpN4rFShYr5iB6_PdItL4rteGitk96_4bDB7ezf_tx92C270BJu97iTiNmy4-g5cO1d28S6MqQEcHcNnjWejedc9gn1E1j1nIyok3PcAY9MuR75lIbGCvV805rOmwtZs5L7p2m7Dhwv5lHuwWTe1uw_MOW-89GWZayWUtYqYJZKvIpcOOaGMIBnWtzJ9uXXq-vG1OisUTZCoEBIVQaLiETxf3jLrao2sG7y7AprlHRwpJcVqI9gZcFH1eqmtzkARwZPlZdQoFCbStWtOw5gCvQIkw2vGCCF5geSujODFgNDzr_nHrB-sn9RjuDo-ejepJvvTg4ewxUlcQnLpDmwu5qfuEVwxPxZf2vluEDwGJxcN3D_Vn2Zv
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3da9RAEB9qFVHEbzFa6wr6ogSTzWaTfRCRxqOl5Sio2Ld03Q8UNDkvV8V_zb_OmU1y7QneWx98zibZZH8z85ud2RmApwEVmUtiYRONDorJY53nMs4Lb6yQqfM6rPRBMZ2WR0fqcAN-j2dhKK1y1IlBUdvW0B45SneaCSnQIXnph7SIw2ryevY9pg5SFGkd22n0ENl3v36i-9a92qtwrZ9xPnn7fmc3HjoMxEakfEFzQ_8iscojDrPEO67RBPrUSm1Ka0plU4sAtmWinRN5ZnlpcqN9UXqkPZ9Mhs-9ABcLgWaT0gaTnWUEA7lL2N9R6J4JNNtjRDUc20u5pCwlHitVqJiv2MRrM93h8vi-r8YK8f0rVhtM4OTG__zzbsL1gXizN72k3IIN19yGq2fKMd6BXWoMR8fzWetZNe-7SrCPyMbnrKICw0NvMDbtc-c7FhIu2LtFaz5rKnjNKvdNN_YufDiXT7kHm03buPvAnPPGS1-WuVZCWauIcSIpK3LpkCvKCJJxrWszlGGnbiBf69MC0gSPGuFREzxqHsHz5S2zvgbJusHbKwBa3sGRalIMN4KtESP1oK-6-hQgETxZXkZNQ-Ej3bj2JIwp0FtAkrxmjBCSF0j6yghejGg9-5p_zPrB-kk9hsuI1_pgb7r_EK5wkpyQc7oFm4v5iXsEl8yPxZduvh1kkMHxeeP2D_NMbxE
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Modeling+of+Drinking+Water+Distribution+Networks+Using+Stochastic+Demand&rft.jtitle=Water+resources+management&rft.au=Alcocer-Yamanaka%2C+Victor+H&rft.au=Tzatchkov%2C+Velitchko+G&rft.au=Arreguin-Cortes%2C+Felipe+I&rft.date=2012-05-01&rft.issn=0920-4741&rft.eissn=1573-1650&rft.volume=26&rft.issue=7&rft.spage=1779&rft.epage=1792&rft_id=info:doi/10.1007%2Fs11269-012-9979-2&rft.externalDBID=NO_FULL_TEXT
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0920-4741&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0920-4741&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0920-4741&client=summon