Fast hydrological model calibration based on the heterogeneous parallel computing accelerated shuffled complex evolution method

Hydrological model calibration has been a hot issue for decades. The shuffled complex evolution method developed at the University of Arizona (SCE-UA) has been proved to be an effective and robust optimization approach. However, its computational efficiency deteriorates significantly when the amount...

Full description

Saved in:
Bibliographic Details
Published inEngineering optimization Vol. 50; no. 1; pp. 106 - 119
Main Authors Kan, Guangyuan, He, Xiaoyan, Ding, Liuqian, Li, Jiren, Hong, Yang, Zuo, Depeng, Ren, Minglei, Lei, Tianjie, Liang, Ke
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 02.01.2018
Taylor & Francis Ltd
Subjects
Atmospheric pressure
Calibration
Computing time
CUDA
Evolution
heterogeneous parallel computing
Hydrologic models
Hydrology
Hydrometeorology
Model calibration
OpenMP
Rainfall
Rainfall-runoff relationships
Sensitivity analysis
Simulation
Xinanjiang model
Online AccessGet full text

Cover

Abstract Hydrological model calibration has been a hot issue for decades. The shuffled complex evolution method developed at the University of Arizona (SCE-UA) has been proved to be an effective and robust optimization approach. However, its computational efficiency deteriorates significantly when the amount of hydrometeorological data increases. In recent years, the rise of heterogeneous parallel computing has brought hope for the acceleration of hydrological model calibration. This study proposed a parallel SCE-UA method and applied it to the calibration of a watershed rainfall-runoff model, the Xinanjiang model. The parallel method was implemented on heterogeneous computing systems using OpenMP and CUDA. Performance testing and sensitivity analysis were carried out to verify its correctness and efficiency. Comparison results indicated that heterogeneous parallel computing-accelerated SCE-UA converged much more quickly than the original serial version and possessed satisfactory accuracy and stability for the task of fast hydrological model calibration.
AbstractList Hydrological model calibration has been a hot issue for decades. The shuffled complex evolution method developed at the University of Arizona (SCE-UA) has been proved to be an effective and robust optimization approach. However, its computational efficiency deteriorates significantly when the amount of hydrometeorological data increases. In recent years, the rise of heterogeneous parallel computing has brought hope for the acceleration of hydrological model calibration. This study proposed a parallel SCE-UA method and applied it to the calibration of a watershed rainfall-runoff model, the Xinanjiang model. The parallel method was implemented on heterogeneous computing systems using OpenMP and CUDA. Performance testing and sensitivity analysis were carried out to verify its correctness and efficiency. Comparison results indicated that heterogeneous parallel computing-accelerated SCE-UA converged much more quickly than the original serial version and possessed satisfactory accuracy and stability for the task of fast hydrological model calibration.
Author Kan, Guangyuan
Lei, Tianjie
He, Xiaoyan
Li, Jiren
Liang, Ke
Ren, Minglei
Ding, Liuqian
Zuo, Depeng
Hong, Yang
Author_xml – sequence: 1
  givenname: Guangyuan
  surname: Kan
  fullname: Kan, Guangyuan
  email: kanguangyuan@126.com
  organization: State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University
– sequence: 2
  givenname: Xiaoyan
  surname: He
  fullname: He, Xiaoyan
  organization: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research
– sequence: 3
  givenname: Liuqian
  surname: Ding
  fullname: Ding, Liuqian
  organization: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research
– sequence: 4
  givenname: Jiren
  surname: Li
  fullname: Li, Jiren
  organization: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research
– sequence: 5
  givenname: Yang
  surname: Hong
  fullname: Hong, Yang
  organization: Department of Civil Engineering and Environmental Science, University of Oklahoma
– sequence: 6
  givenname: Depeng
  surname: Zuo
  fullname: Zuo, Depeng
  organization: College of Water Sciences, Beijing Normal University
– sequence: 7
  givenname: Minglei
  surname: Ren
  fullname: Ren, Minglei
  organization: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research
– sequence: 8
  givenname: Tianjie
  surname: Lei
  fullname: Lei, Tianjie
  organization: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research
– sequence: 9
  givenname: Ke
  surname: Liang
  fullname: Liang, Ke
  organization: College of Hydrology and Water Resources, Hohai University
BookMark eNp9kEFLxDAQhYOs4Lr6E4SA565J0zTtTRFXBcGLgreQptNtJW1qkqp78q-bunr1NG8m73uBd4wWgx0AoTNK1pQU5IIwwlPKX9YpoWJN2byzA7SkJC0Tkgq2QMv5lsymI3Ts_Ssh0UaKJfraKB9wu6udNXbbaWVwb2swOKqucip0dsCV8lDjKEILuIUAzm5hADt5PCqnjJn9th-n0A1brLQGAxGNjG-npjFRzM8GPjG8WzP9hPYQWlufoMNGGQ-nv3OFnjc3T9d3ycPj7f311UOiGStCUlWUsJSUeaMrUVdZXYgs55ySrNAChIjHhudUCFVnaZ7xoix5JnSkRAlKELZC5_vc0dm3CXyQr3ZyQ_xS0rJMcy6KPI0uvndpZ7130MjRdb1yO0mJnLuWf13LuWv523XkLvdcNzTW9erDOlPLoHbGusapQXdesv8jvgEY44na
CitedBy_id crossref_primary_10_1007_s10462_019_09745_0
crossref_primary_10_3390_rs14184609
crossref_primary_10_3390_w10121882
crossref_primary_10_1016_j_envsoft_2023_105708
crossref_primary_10_1080_10618562_2019_1683167
crossref_primary_10_1007_s00366_018_0685_4
crossref_primary_10_3390_w11050985
crossref_primary_10_3390_w15173140
crossref_primary_10_1016_j_envsoft_2021_105068
crossref_primary_10_1016_j_envsoft_2021_105003
crossref_primary_10_1016_j_jhydrol_2022_127819
crossref_primary_10_1007_s00500_020_05365_x
crossref_primary_10_3390_w9110904
crossref_primary_10_3390_w15152700
crossref_primary_10_3390_w15152810
crossref_primary_10_1016_j_envsoft_2021_105271
crossref_primary_10_1016_j_envsoft_2022_105370
crossref_primary_10_1016_j_jhydrol_2022_127546
Cites_doi 10.1007/s00704-016-1969-5
10.1016/j.cpc.2010.12.008
10.1093/comjnl/7.4.308
10.1016/0378-4754(84)90105-8
10.1007/BF00939380
10.1029/91WR02985
10.1109/TPDS.2016.2575822
10.1016/j.ijleo.2015.09.194
10.1061/(ASCE)HE.1943-5584.0000958
10.1016/j.matcom.2014.02.002
10.1007/3-540-50871-6
10.1155/2016/8483728
10.3390/w8100460
10.1061/(ASCE)HE.1943-5584.0000527
10.3390/ijerph13080787
10.1007/s00521-014-1727-5
10.1088/1755-1315/46/1/012029
10.1016/0022-1694(94)90057-4
10.1007/s00477-015-1040-6
10.1007/BF00933504
10.1016/j.apenergy.2016.08.017
10.1007/BF00939049
10.1007/BF02592070
10.1016/0022-1694(92)90096-E
10.1016/0005-1098(63)90018-9
ContentType Journal Article
Copyright 2017 Informa UK Limited, trading as Taylor & Francis Group 2017
2017 Informa UK Limited, trading as Taylor & Francis Group
Copyright_xml – notice: 2017 Informa UK Limited, trading as Taylor & Francis Group 2017
– notice: 2017 Informa UK Limited, trading as Taylor & Francis Group
DBID AAYXX
CITATION
7SC
7TB
8FD
FR3
JQ2
KR7
L7M
L~C
L~D
DOI 10.1080/0305215X.2017.1303053
DatabaseName CrossRef
Computer and Information Systems Abstracts
Mechanical & Transportation Engineering Abstracts
Technology Research Database
Engineering Research Database
ProQuest Computer Science Collection
Civil Engineering Abstracts
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DatabaseTitle CrossRef
Civil Engineering Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Mechanical & Transportation Engineering Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Engineering Research Database
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts Professional
DatabaseTitleList Civil Engineering Abstracts
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1029-0273
EndPage 119
ExternalDocumentID 10_1080_0305215X_2017_1303053
1303053
Genre Original Articles
GrantInformation_xml – fundername: China National Flash Flood Disaster Prevention and Control Project
  grantid: 126301001000150068
– fundername: International Project
  grantid: 71461010701
– fundername: Study of Distributed Flood Risk Forecast Model and Technology Based on Multi-source Data Integration and Hydro Meteorological Coupling System
  grantid: 2013CB036406
– fundername: IWHR Research & Development Support Program
  grantid: JZ0145B052016
– fundername: Major International (Regional) Joint Research Project-China's Water and Food Security under Extreme Climate Change Impact: Risk Assessment and Resilience
  grantid: G0305, 7141101024
– fundername: Construction Project of Shaanxi Province Medium and Small River Hydrological Monitoring and Forecast System-Construction of Guanzhong and North of Shaanxi Flood Forecast Scheme
  grantid: JZ0205A112015
– fundername: National Natural Science Foundation of China
  grantid: 51509263, 41601569
  funderid: 10.13039/501100001809
GroupedDBID -~X
.7F
.QJ
0BK
0R~
29G
2DF
30N
3YN
4.4
5GY
5VS
AAAVI
AAENE
AAJMT
AALDU
AAMIU
AAPUL
AAQRR
ABBKH
ABCCY
ABFIM
ABHAV
ABJVF
ABLIJ
ABPEM
ABPTK
ABQHQ
ABTAI
ABXUL
ACGEJ
ACGFS
ACGOD
ACIWK
ACTIO
ADCVX
ADGTB
ADXPE
AEGYZ
AEISY
AENEX
AEOZL
AEPSL
AEYOC
AFKVX
AFOLD
AFWLO
AGDLA
AGMYJ
AHDLD
AIJEM
AIRXU
AJWEG
AKBVH
AKOOK
ALMA_UNASSIGNED_HOLDINGS
ALQZU
AQRUH
AVBZW
AWYRJ
BLEHA
CCCUG
CE4
CS3
DGEBU
DKSSO
EBS
EJD
E~A
E~B
FUNRP
FVPDL
GTTXZ
H13
HF~
HZ~
H~P
IPNFZ
J.P
KYCEM
M4Z
NA5
NX~
O9-
P2P
PQEST
PQQKQ
RIG
RNANH
ROSJB
RTWRZ
S-T
SNACF
TEN
TFL
TFT
TFW
TN5
TNC
TTHFI
TWF
UT5
UU3
V1K
ZGOLN
~S~
AAYXX
ABJNI
ABPAQ
ABXYU
AHDZW
CITATION
TBQAZ
TDBHL
TUROJ
7SC
7TB
8FD
FR3
JQ2
KR7
L7M
L~C
L~D
ID FETCH-LOGICAL-c338t-bb1032096fcb7db4d8746551048c7e77b7df56177ad42645899547cb1079ea703
ISSN 0305-215X
IngestDate Mon Nov 04 11:29:53 EST 2024
Fri Aug 23 01:39:27 EDT 2024
Tue Jun 13 19:26:10 EDT 2023
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c338t-bb1032096fcb7db4d8746551048c7e77b7df56177ad42645899547cb1079ea703
PQID 1992657862
PQPubID 53195
PageCount 14
ParticipantIDs informaworld_taylorfrancis_310_1080_0305215X_2017_1303053
proquest_journals_1992657862
crossref_primary_10_1080_0305215X_2017_1303053
PublicationCentury 2000
PublicationDate 2018-01-02
PublicationDateYYYYMMDD 2018-01-02
PublicationDate_xml – month: 01
  year: 2018
  text: 2018-01-02
  day: 02
PublicationDecade 2010
PublicationPlace Abingdon
PublicationPlace_xml – name: Abingdon
PublicationTitle Engineering optimization
PublicationYear 2018
Publisher Taylor & Francis
Taylor & Francis Ltd
Publisher_xml – name: Taylor & Francis
– name: Taylor & Francis Ltd
References CIT0030
CIT0032
Kirkby M. J. (CIT0020) 1978
CIT0031
CIT0034
CIT0011
CIT0036
Gomulka J. (CIT0007) 1978
CIT0013
CIT0035
Kan G. (CIT0014) 2016; 044
CIT0016
CIT0015
CIT0037
CIT0018
Price W. L. (CIT0027) 1978
Tőrn A. (CIT0033) 1978
Kan G. (CIT0012) 2016; 46
CIT0017
CIT0019
CIT0021
CIT0023
CIT0022
Chen S. (CIT0001) 2016
Holland J. H. (CIT0010) 1975
CIT0003
CIT0025
CIT0002
CIT0024
CIT0005
CIT0004
CIT0026
CIT0029
CIT0006
CIT0028
CIT0009
CIT0008
References_xml – ident: CIT0037
  doi: 10.1007/s00704-016-1969-5
– start-page: 19
  volume-title: Toward Global Optimization 2
  year: 1978
  ident: CIT0007
  contributor:
    fullname: Gomulka J.
– ident: CIT0035
  doi: 10.1016/j.cpc.2010.12.008
– ident: CIT0026
  doi: 10.1093/comjnl/7.4.308
– ident: CIT0030
  doi: 10.1016/0378-4754(84)90105-8
– ident: CIT0004
  doi: 10.1007/BF00939380
– ident: CIT0005
  doi: 10.1029/91WR02985
– ident: CIT0013
  doi: 10.1109/TPDS.2016.2575822
– ident: CIT0009
  doi: 10.1016/j.ijleo.2015.09.194
– volume-title: Adaption in Natural and Artificial Systems
  year: 1975
  ident: CIT0010
  contributor:
    fullname: Holland J. H.
– volume-title: Hillslope Hydrology
  year: 1978
  ident: CIT0020
  contributor:
    fullname: Kirkby M. J.
– ident: CIT0023
  doi: 10.1061/(ASCE)HE.1943-5584.0000958
– ident: CIT0025
– ident: CIT0032
  doi: 10.1016/j.matcom.2014.02.002
– ident: CIT0034
  doi: 10.1007/3-540-50871-6
– ident: CIT0015
  doi: 10.1155/2016/8483728
– ident: CIT0021
  doi: 10.3390/w8100460
– ident: CIT0024
  doi: 10.1061/(ASCE)HE.1943-5584.0000527
– volume: 044
  start-page: 731
  year: 2016
  ident: CIT0014
  publication-title: Neural Computing & Applications
  contributor:
    fullname: Kan G.
– volume: 46
  start-page: 175
  year: 2016
  ident: CIT0012
  publication-title: Neural Computing & Applications
  contributor:
    fullname: Kan G.
– ident: CIT0022
  doi: 10.3390/ijerph13080787
– start-page: 49
  volume-title: Toward Global Optimization 2
  year: 1978
  ident: CIT0033
  contributor:
    fullname: Tőrn A.
– ident: CIT0002
  doi: 10.1007/s00521-014-1727-5
– ident: CIT0011
  doi: 10.1088/1755-1315/46/1/012029
– ident: CIT0006
  doi: 10.1016/0022-1694(94)90057-4
– ident: CIT0016
  doi: 10.1007/s00477-015-1040-6
– ident: CIT0008
– ident: CIT0003
– ident: CIT0028
  doi: 10.1007/BF00933504
– start-page: 71
  volume-title: Toward Global Optimization 2
  year: 1978
  ident: CIT0027
  contributor:
    fullname: Price W. L.
– ident: CIT0017
  doi: 10.1016/j.apenergy.2016.08.017
– start-page: 3575
  issue: 12
  year: 2016
  ident: CIT0001
  publication-title: Transylvanian Review
  contributor:
    fullname: Chen S.
– ident: CIT0019
– ident: CIT0029
  doi: 10.1007/BF00939049
– ident: CIT0031
  doi: 10.1007/BF02592070
– ident: CIT0036
  doi: 10.1016/0022-1694(92)90096-E
– ident: CIT0018
  doi: 10.1016/0005-1098(63)90018-9
SSID ssj0013008
Score 2.2956264
Snippet Hydrological model calibration has been a hot issue for decades. The shuffled complex evolution method developed at the University of Arizona (SCE-UA) has been...
SourceID proquest
crossref
informaworld
SourceType Aggregation Database
Publisher
StartPage 106
SubjectTerms Atmospheric pressure
Calibration
Computing time
CUDA
Evolution
heterogeneous parallel computing
Hydrologic models
Hydrology
Hydrometeorology
Model calibration
OpenMP
Rainfall
Rainfall-runoff relationships
Sensitivity analysis
Simulation
Xinanjiang model
Title Fast hydrological model calibration based on the heterogeneous parallel computing accelerated shuffled complex evolution method
URI https://www.tandfonline.com/doi/abs/10.1080/0305215X.2017.1303053
https://www.proquest.com/docview/1992657862
Volume 50
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07b9swECbcZGmHok_EbVpw6CYoCENLlMagaWAEaScHFboIFEU1Bhw7jaUiztKf0r_aO5KSKDhAX4tA0xZl6z5_d0fdg5B3bCJiyUoV6qTg4SQCh1UKFoVgPEvNU60iky728VM8vZicZVE2Gv30opaaujhQd_fmlfyLVGEO5IpZsn8h2W5RmIAxyBeOIGE4_pGMT-W6Di435U3HYKaxTQAj9IKNaFFNle6RAJiFcBtXsJ7GyFcs-71Y4OdNaweTrqgU6CEsH1EG68umqha6tGHn-jbQ392vcX2nB7v6fV3DYAU0dOXyOztCtxutgMjl103TQ3JqNlSzuVxt-skT12jlfN588-B7biIPzuZt-prbrGCJ2azoXdvZVt8Qj-6AeUIwQDKrmSwdY3AOVtzx-doWqh3g0pIvO4w9Pc4sFW-pCBdTyTFrOcowuE9gS2x4zXud2EUquncekN0jYDKg0N3j6cmXz_2DqkPT9LD78m2SGJZvv-8SA_NnUBx3yxgwFs7sCXnsXBN6bHH2lIz08hl55An2OfmBiKM-4qhBHPUQRw3iKAwAcXSAONoijnaIox7iaIs46hBHO8RRi7gX5OL0w-z9NHQtPELFeVKHRYEFG8FNrlQhymJSJgIL9jHQG0poIWCyAjYQQpZomkcJlicUCs4SqZagjV6SneVqqfcI5WXFhUhkypUCL7tKJahGWSUV47xgcTEmB-2dza9tpZactQVwnShyFEXuRDEmqX__89qAs7K4zPlvzt1vhZU7QljnGMkdgwaMj179x9KvycP-n7NPduqbRr8Bw7cu3jrw_QIGGq6p
link.rule.ids 315,783,787,27936,27937,60214,61003
linkProvider Library Specific Holdings
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwELagDMDAG1Eo4IE1pWkeTkaEqAq0nVqpm2U7tipRtahJELDw17lzElFAiKGbk9hWYp_v7nPO3xFy5fosFG6iHB1Jz_EDAKyCuYEDzrPQXqxVYI-L9Qdhd-Q_jIPx0lkYDKtEDG0Kogirq3Fx42Z0FRJ3jUIKpmqMkVkM8xnDtbdONkIkAMNjHK3B15-Els1Kh1UcbFOd4vmrm2_26Rt76S9tbU1QZ5eo6uWLyJOnZp7Jpnr_weu42tftkZ3SQ6U3hUjtkzU9OyDbS7yFh-SjI9KMTt6SRaU6qc2oQ6GE8Bsnm6J9TCgUwMWkE4y6mYOw6nmeUuQbn06xvs0pAX1SoRQYQOStSGg6yY2ZQsHGu-tXql_KBUKLhNdHZNS5G952nTKTg6MAAmeOlMjbB2jJKMkS6ScRQ942gIKRYpoxuGlAKBgTCXpoQYQsdUxBKxZrAUrpmNRm85k-IdRLjMdYJGJPKQBbJhagIYWJDIBt6YayTprV_PHngrCDuxUPajmyHEeWlyNbJ_HyLPPM7pSYIq0J9_5p26hEgpdrP-UY0BuCIgzbpyt0fUk2u8N-j_fuB49nZAseRXbnp90gtWyR63PwhTJ5YYX9E5k3_Yo
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwELagSAgG3ohCAQ-sKU3TxMmIgIpnxUClbpafqkTVVk2KgIW_zp2TiBaEGLo5iW0l9vkezufvCDnzWywSvlaeiWXgtUIIWAXzQw-cZ2GCxKjQHRd77EQ33dZdLyzRhGkBq8QY2uZEEU5X4-Iea1si4s5RRsFS9RCYxTCdMVwHy2QFPIEGinrQ6Hz_SGi4pHRYxcM25SGev7qZM09z5KW_lLWzQO1NIst3z4EnL_VpJuvq4wet40Ift0U2Cv-UXuQCtU2WzHCHrM-wFu6Sz7ZIM9p_15NScVKXT4dCCYNvnGqK1lFTKICDSfuIuRmBqJrRNKXINj4YYH2XUQL6pEIpMH_IWqFp2p9aO4CCQ7ubN2pei-VB83TXe6Tbvn6-vPGKPA6eggA486RE1j6IlaySTMuWjhmytkEgGCtmGIObFkSCMaHRPwtj5KhjClqxxAhQSfukMhwNzQGhgbYBY7FIAqUg1LKJAP0obGwh1JZ-JKukXk4fH-d0HdwvWVCLkeU4srwY2SpJZieZZ26fxOZJTXjwT9taKRG8WPkpRzhvBGowah4u0PUpWX26avOH2879EVmDJ7Hb9mnWSCWbTM0xOEKZPHGi_gWWKvw3
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=Fast+hydrological+model+calibration+based+on+the+heterogeneous+parallel+computing+accelerated+shuffled+complex+evolution+method&rft.jtitle=Engineering+optimization&rft.au=Kan%2C+Guangyuan&rft.au=He%2C+Xiaoyan&rft.au=Ding%2C+Liuqian&rft.au=Li%2C+Jiren&rft.date=2018-01-02&rft.pub=Taylor+%26+Francis&rft.issn=0305-215X&rft.eissn=1029-0273&rft.volume=50&rft.issue=1&rft.spage=106&rft.epage=119&rft_id=info:doi/10.1080%2F0305215X.2017.1303053&rft.externalDocID=1303053
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0305-215X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0305-215X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0305-215X&client=summon