Survey of computational intelligence as basis to big flood management: challenges, research directions and future work
Flooding produces debris and waste including liquids, dead animal bodies and hazardous materials such as hospital waste. Debris causes serious threats to people's health and can even block the roads used to give emergency aid, worsening the situation. To cope with these issues, flood management...
Saved in:
| Published in | Engineering applications of computational fluid mechanics Vol. 12; no. 1; pp. 411 - 437 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Taylor & Francis
01.01.2018
Taylor & Francis Group |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1994-2060 1997-003X |
| DOI | 10.1080/19942060.2018.1448896 |
Cover
| Abstract | Flooding produces debris and waste including liquids, dead animal bodies and hazardous materials such as hospital waste. Debris causes serious threats to people's health and can even block the roads used to give emergency aid, worsening the situation. To cope with these issues, flood management systems (FMSs) are adopted for the decision-making process of critical situations. Nowadays, conventional artificial intelligence and computational intelligence (CI) methods are applied to early flood event detection, having a low false alarm rate. City authorities can then provide quick and efficient response in post-disaster scenarios. This paper aims to present a comprehensive survey about the application of CI-based methods in FMSs. CI approaches are categorized as single and hybrid methods. The paper also identifies and introduces the most promising approaches nowadays with respect to the accuracy and error rate for flood debris forecasting and management. Ensemble CI approaches are shown to be highly efficient for flood prediction. |
|---|---|
| AbstractList | Flooding produces debris and waste including liquids, dead animal bodies and hazardous materials such as hospital waste. Debris causes serious threats to people’s health and can even block the roads used to give emergency aid, worsening the situation. To cope with these issues, flood management systems (FMSs) are adopted for the decision-making process of critical situations. Nowadays, conventional artificial intelligence and computational intelligence (CI) methods are applied to early flood event detection, having a low false alarm rate. City authorities can then provide quick and efficient response in post-disaster scenarios. This paper aims to present a comprehensive survey about the application of CI-based methods in FMSs. CI approaches are categorized as single and hybrid methods. The paper also identifies and introduces the most promising approaches nowadays with respect to the accuracy and error rate for flood debris forecasting and management. Ensemble CI approaches are shown to be highly efficient for flood prediction. |
| Author | Piran, Md. Jalil Shamshirband, Shahaboddin Chau, Kwok-wing Faizollahzadeh Ardabili, Sina Fotovatikhah, Farnaz Herrera, Manuel |
| Author_xml | – sequence: 1 givenname: Farnaz surname: Fotovatikhah fullname: Fotovatikhah, Farnaz organization: Independent Researcher, SPM Lab – sequence: 2 givenname: Manuel orcidid: 0000-0001-9662-0017 surname: Herrera fullname: Herrera, Manuel organization: EDEn - Department of Architecture and Civil Engineering, University of Bath – sequence: 3 givenname: Shahaboddin orcidid: 0000-0002-6605-498X surname: Shamshirband fullname: Shamshirband, Shahaboddin email: shahaboddin.shamshirband@tdt.edu.vn organization: Faculty of Information Technology, Ton Duc Thang University – sequence: 4 givenname: Kwok-wing surname: Chau fullname: Chau, Kwok-wing organization: Department of Civil and Environmental Engineering, Hong Kong Polytechnic University – sequence: 5 givenname: Sina orcidid: 0000-0002-7744-7906 surname: Faizollahzadeh Ardabili fullname: Faizollahzadeh Ardabili, Sina organization: Department of biosystem Engineering, University of Mohaghegh Ardabili – sequence: 6 givenname: Md. Jalil orcidid: 0000-0003-3229-6785 surname: Piran fullname: Piran, Md. Jalil organization: Department of Computer Science and Engineering, Sejong University |
| BookMark | eNqFkcFuFDEMhkeoSJTSR0DKAzBLsskkM3ABVdBWqsQBkLhFTuJMA5mkSrJF-_bMdtsLBzjZsvx_sv__ZXeScsKue83ohtGRvmXTJLZU0s2WsnHDhBjHST7rTte56inlP04eetEfll5057UGQweqOGNKnHb3X3flHvcke2Lzcrdr0EJOEElIDWMMMyaLBCoxUEMlLRMTZuJjzo4skGDGBVN7R-wtxIhpxvqGFKwIxd4SFwraA68SSI74XdsVJL9z-fWqe-4hVjx_rGfd98-fvl1c9TdfLq8vPt70VoxT6_lI_SgHRMktKsmGYZDSO2W5Wj9Ai9Jbbxw4RY1yRljj5QTDFnDiHpjhZ931kesy_NR3JSxQ9jpD0A-DXGYNpQUbUYNVzg_opOFMmC03nCpAgZRRywcxraz3R5YtudaCXttwtKsVCFEzqg-J6KdE9CER_ZjIqh7-Uj9d8z_dh6MuJJ_LAqt70ekG-5iLL5BsqJr_G_EHjdCnzg |
| CitedBy_id | crossref_primary_10_1109_ACCESS_2020_2970836 crossref_primary_10_1142_S0219622020500121 crossref_primary_10_2166_ws_2023_288 crossref_primary_10_1016_j_jksuci_2018_09_008 crossref_primary_10_1016_j_jclepro_2021_128955 crossref_primary_10_1080_02626667_2019_1620950 crossref_primary_10_1080_19942060_2020_1720820 crossref_primary_10_2478_geosc_2024_0001 crossref_primary_10_2166_wcc_2020_195 crossref_primary_10_1007_s11390_020_9349_0 crossref_primary_10_1007_s11356_024_32464_1 crossref_primary_10_2166_aqua_2019_044 crossref_primary_10_1007_s11069_022_05237_7 crossref_primary_10_1111_mice_12629 crossref_primary_10_1007_s12559_018_9595_4 crossref_primary_10_1007_s44196_024_00485_w crossref_primary_10_1016_j_heliyon_2024_e33116 crossref_primary_10_1080_19942060_2019_1663449 crossref_primary_10_1155_2020_9709417 crossref_primary_10_1680_jwama_18_00052 crossref_primary_10_2166_hydro_2019_010 crossref_primary_10_3389_fenvs_2022_887446 crossref_primary_10_1007_s00704_021_03817_4 crossref_primary_10_1016_j_eswa_2025_126737 crossref_primary_10_1109_ACCESS_2020_2984271 crossref_primary_10_1007_s11600_023_01216_z crossref_primary_10_1080_19942060_2018_1553742 crossref_primary_10_1016_j_iswcr_2019_01_004 crossref_primary_10_1007_s43069_022_00148_6 crossref_primary_10_1016_j_biortech_2021_125858 crossref_primary_10_7717_peerj_7653 crossref_primary_10_1080_19942060_2019_1680576 crossref_primary_10_1109_ACCESS_2020_2974406 crossref_primary_10_1515_jisys_2018_0206 crossref_primary_10_1007_s00704_021_03760_4 crossref_primary_10_1111_jfr3_12830 crossref_primary_10_2166_hydro_2021_112 crossref_primary_10_1057_s41599_023_02312_7 crossref_primary_10_1007_s10653_021_01104_9 crossref_primary_10_1155_2020_7345676 crossref_primary_10_1007_s11269_020_02554_z crossref_primary_10_3389_fenvs_2022_980949 crossref_primary_10_1007_s43621_024_00504_y crossref_primary_10_1109_ACCESS_2019_2951750 crossref_primary_10_1007_s12517_022_09674_3 crossref_primary_10_1007_s12517_020_5116_3 crossref_primary_10_1080_19942060_2020_1774422 crossref_primary_10_2166_wcc_2020_205 crossref_primary_10_2166_wcc_2019_116 crossref_primary_10_21015_vtse_v10i1_835 crossref_primary_10_1080_19942060_2018_1562383 crossref_primary_10_1080_19942060_2018_1562382 crossref_primary_10_1080_19942060_2019_1691054 crossref_primary_10_1080_19942060_2018_1560364 crossref_primary_10_2166_wcc_2023_494 crossref_primary_10_1080_19942060_2020_1788644 crossref_primary_10_1007_s10661_022_09752_9 crossref_primary_10_1016_j_jhydrol_2021_127324 crossref_primary_10_1016_j_eswa_2021_114941 crossref_primary_10_1680_jwama_20_00044 crossref_primary_10_1002_for_2564 crossref_primary_10_1016_j_scitotenv_2019_134474 crossref_primary_10_1080_19942060_2018_1509806 crossref_primary_10_2166_wpt_2024_002 crossref_primary_10_2166_hydro_2022_009 crossref_primary_10_5194_gmd_12_1189_2019 crossref_primary_10_1680_jwama_19_00075 crossref_primary_10_1016_j_scitotenv_2022_159874 crossref_primary_10_1111_jfr3_12656 crossref_primary_10_1016_j_heliyon_2024_e31321 crossref_primary_10_1155_2022_4111872 crossref_primary_10_1155_2021_6625438 crossref_primary_10_1007_s11069_022_05352_5 crossref_primary_10_1080_19942060_2020_1869102 crossref_primary_10_1080_19942060_2018_1564702 crossref_primary_10_2166_hydro_2020_185 crossref_primary_10_1029_2018WR024558 crossref_primary_10_1080_19942060_2018_1541822 crossref_primary_10_1007_s11269_019_02301_z crossref_primary_10_1680_jwama_20_00078 crossref_primary_10_1080_19942060_2020_1858967 crossref_primary_10_1016_j_engappai_2020_103613 crossref_primary_10_31590_ejosat_1010220 crossref_primary_10_2166_hydro_2021_142 crossref_primary_10_1007_s13762_023_05322_9 crossref_primary_10_1080_19942060_2019_1679668 crossref_primary_10_1016_j_eswa_2022_118747 crossref_primary_10_1007_s11269_019_02291_y crossref_primary_10_1080_09715010_2019_1617796 crossref_primary_10_1109_ACCESS_2020_2993874 crossref_primary_10_1007_s12145_023_01219_w crossref_primary_10_1080_02529203_2024_2367319 crossref_primary_10_1007_s40710_022_00602_x crossref_primary_10_1109_ACCESS_2020_2966549 crossref_primary_10_1007_s12205_018_2636_4 crossref_primary_10_1080_19942060_2020_1715842 crossref_primary_10_2166_wcc_2021_227 crossref_primary_10_1080_19942060_2019_1668303 crossref_primary_10_1155_2022_4604223 crossref_primary_10_1007_s10668_024_05795_9 crossref_primary_10_1007_s11356_023_25369_y crossref_primary_10_2166_nh_2021_078 crossref_primary_10_1080_19942060_2020_1722241 crossref_primary_10_1007_s12205_019_1693_7 crossref_primary_10_2166_ws_2020_099 crossref_primary_10_1007_s11069_020_04296_y crossref_primary_10_2166_wcc_2019_261 crossref_primary_10_1080_19942060_2018_1542345 crossref_primary_10_2166_hydro_2021_037 crossref_primary_10_2166_wcc_2021_074 crossref_primary_10_1080_19942060_2019_1683076 crossref_primary_10_2208_journalofjsce_23_27037 crossref_primary_10_1007_s11356_021_12410_1 crossref_primary_10_1002_leap_1381 crossref_primary_10_1080_19942060_2020_1734094 crossref_primary_10_1007_s00521_020_05292_w crossref_primary_10_1071_AN18522 crossref_primary_10_16984_saufenbilder_1152982 crossref_primary_10_2166_wcc_2020_244 crossref_primary_10_2166_wcc_2020_365 crossref_primary_10_1080_19942060_2020_1773932 crossref_primary_10_1007_s00521_020_05035_x crossref_primary_10_1007_s10661_024_13077_0 crossref_primary_10_1007_s12205_018_0912_y crossref_primary_10_1007_s40808_025_02368_1 crossref_primary_10_1007_s12665_023_11319_x crossref_primary_10_1109_ACCESS_2020_2971264 crossref_primary_10_5194_hess_24_2343_2020 crossref_primary_10_2166_wcc_2021_322 crossref_primary_10_1080_19942060_2018_1557561 crossref_primary_10_1007_s41324_023_00519_z crossref_primary_10_1080_19942060_2018_1528480 crossref_primary_10_1007_s11356_022_20213_1 crossref_primary_10_1016_j_rser_2021_110992 crossref_primary_10_1142_S0219622021500164 crossref_primary_10_1080_19942060_2018_1510791 crossref_primary_10_2166_wcc_2020_018 crossref_primary_10_1002_sd_2706 crossref_primary_10_1007_s00521_020_05680_2 crossref_primary_10_1016_j_aei_2023_102085 crossref_primary_10_1080_19942060_2020_1803971 crossref_primary_10_1080_19942060_2021_2019128 crossref_primary_10_1007_s12517_018_4079_0 crossref_primary_10_2166_nh_2018_049 |
| Cites_doi | 10.1016/j.jhydrol.2012.05.031 10.1016/j.catena.2014.10.017 10.1016/j.eswa.2007.05.009 10.1109/MGRS.2016.2540798 10.1080/10286600500126256 10.1016/1069-0115(94)90002-7 10.1016/j.jhydrol.2011.06.013 10.1016/j.jenvman.2011.06.038 10.1029/95WR01955 10.5194/nhess-13-53-2013 10.1016/j.jhydrol.2015.10.038 10.1016/j.jhydrol.2013.10.052 10.1016/j.engappai.2015.09.014 10.1111/mice.12113 10.1016/j.eswa.2009.11.039 10.1016/j.aei.2005.01.004 10.1016/j.procs.2015.04.160 10.1007/s11356-014-3046-x 10.1007/s11269-009-9570-7 10.1016/j.geomorph.2013.01.012 10.1109/52.329401 10.1007/s00271-010-0225-5 10.1504/IJW.2009.028726 10.1002/hyp.5582 10.1029/2007WR006737 10.1080/02626667.2012.755264 10.1023/A:1008202821328 10.1016/j.jhydrol.2016.02.044 10.1002/hyp.5517 10.1007/s11069-012-0236-z 10.1016/S0165-0114(99)80004-9 10.1016/j.comnet.2007.02.001 10.5194/hess-11-739-2007 10.1007/s00477-010-0364-5 10.1016/j.jhydrol.2014.11.043 10.1029/93WR01494 10.3390/w7115876 10.1007/s11269-005-9012-0 10.1007/BF02837558 10.1016/j.ress.2015.05.003 10.1007/978-0-85729-412-8_13 10.1007/s11269-006-0326-3 10.1111/mice.12062 10.7763/IJET.2013.V5.571 10.1016/j.jobe.2017.08.008 10.1016/S1462-0758(02)00023-7 10.1016/j.jhydrol.2014.06.013 10.1016/j.jhydrol.2005.05.019 10.2112/06-742.1 10.1061/(ASCE)1084-0699(2005)10:6(485) 10.1016/j.amc.2015.08.085 10.1016/j.envsoft.2011.10.007 10.1016/S0925-2312(03)00388-6 10.1038/323533a0 10.1061/(ASCE)0733-9496(1999)125:5(263) 10.1155/2016/7575126 10.5194/nhess-13-669-2013 10.1109/TSMCC.2004.843229 10.1061/(ASCE)1084-0699(2000)5:2(145) 10.19044/esj.2016.v12n9p108 10.1007/s11269-014-0870-1 10.1016/j.jhydrol.2013.10.017 10.1016/j.eswa.2011.11.020 10.1016/j.envsoft.2010.10.016 10.1061/(ASCE)HE.1943-5584.0000053 10.2478/itms-2013-0021 10.1061/(ASCE)0733-9429(2002)128:6(588) 10.1007/s11269-005-9011-1 10.2166/nh.2011.020 10.1109/TFUZZ.2014.2333094 10.1002/joc.3754 10.1016/j.dss.2003.10.001 10.1061/(ASCE)0733-9437(2002)128:4(224) 10.5194/nhess-13-239-2013 10.1007/s00521-010-0486-1 10.1080/1573062X.2013.820333 10.1029/2007WR006744 10.1016/j.jhydrol.2014.03.057 10.1016/j.jhydrol.2010.06.033 10.1016/j.jhydrol.2016.11.057 10.2166/nh.2014.168 10.5194/nhess-9-373-2009 10.1016/j.jhydrol.2008.06.013 10.1007/s00521-013-1344-8 10.1061/(ASCE)1084-0699(2003)8:6(319) 10.1201/9780429246593 10.1002/(SICI)1096-9837(199910)24:11<1039::AID-ESP29>3.0.CO;2-U 10.1016/j.marpolbul.2006.04.003 10.1016/j.jhydrol.2009.12.013 10.1109/TNS.2007.901200 10.1007/s00477-015-1021-9 10.1016/j.ress.2005.03.011 10.1016/j.jhydrol.2007.05.026 10.1061/(ASCE)HE.1943-5584.0000188 10.1007/s00477-008-0288-5 10.1002/hyp.9966 10.1016/j.asoc.2015.05.036 10.1002/hyp.7307 10.1061/(ASCE)HE.1943-5584.0000506 10.1016/j.jhydrol.2013.11.021 10.1016/j.envsci.2005.08.006 10.1016/j.jhydrol.2006.09.001 10.1029/2009WR008541 10.1007/s00704-015-1392-3 10.7551/mitpress/1090.001.0001 10.1007/s11269-014-0895-5 10.2307/j.ctvjsf522 10.1016/S0022-1694(98)00242-X 10.1142/4177 10.1016/j.pce.2009.12.004 10.1007/s11069-015-1645-6 10.1016/j.pce.2006.03.020 10.1007/s11269-013-0280-9 10.1002/hyp.6628 10.1016/j.eswa.2006.08.021 10.1016/j.pnsc.2008.12.010 10.1080/10934520701792852 10.1007/s00271-012-0332-6 10.1061/(ASCE)1084-0699(2007)12:6(626) 10.1006/jmbi.2000.3968 10.1016/0165-0114(95)00248-0 10.1002/hyp.6837 10.1016/j.jhydrol.2015.07.057 10.1111/j.1753-318X.2011.01090.x 10.1016/j.eswa.2015.08.043 10.1002/bs.3830110403 10.1175/1520-0442(2000)013<3625:PADFTI>2.0.CO;2 10.1016/S0925-2312(01)00708-1 10.1016/j.jhydrol.2012.12.006 10.1061/(ASCE)0733-9496(2008)134:3(257) 10.1142/9789812702838_0202 10.1016/j.eswa.2011.02.003 10.1007/s12205-016-0444-2 10.1007/s11269-014-0584-4 10.1061/(ASCE)WR.1943-5452.0000260 10.1016/0165-0114(90)90038-8 10.1623/hysj.48.3.349.45288 10.1061/(ASCE)WR.1943-5452.0000295 10.1623/hysj.52.4.686 10.1007/BF00337288 10.1016/j.lindif.2007.03.011 10.1016/j.jhydrol.2015.11.011 10.1029/2011WR010782 10.1016/j.envsoft.2014.07.007 10.1016/j.jhydrol.2013.04.041 10.1007/s12665-011-1504-z 10.1016/j.jhydrol.2012.11.048 10.1016/j.apm.2014.02.030 10.1016/j.jhydrol.2014.07.036 10.1029/2007WR006745 10.1016/j.matcom.2009.10.003 10.1007/s11269-012-0096-z 10.1007/s11269-014-0767-z 10.1080/02626669909492272 10.1002/hyp.6320 10.5004/dwt.2011.2712 10.1016/j.advwatres.2008.07.009 10.1007/s00521-012-1240-7 10.3390/rs5115642 10.1016/j.jhydrol.2013.09.034 10.1016/j.jhydrol.2010.02.019 10.1002/rra.3108 10.1007/s11629-014-3121-2 10.1016/j.cageo.2012.02.004 10.1016/j.jhydrol.2014.03.008 10.1029/2008JD010485 10.1109/5.364485 10.5194/nhess-10-1697-2010 10.1007/s11269-012-0239-2 10.1016/j.jhydrol.2006.01.021 10.5194/nhess-15-587-2015 10.1016/S0048-9697(03)00433-9 10.1007/s10700-006-7333-y 10.1177/0962280213502437 10.1007/s11269-013-0446-5 10.1007/s10346-009-0177-0 10.1002/bimj.201300068 10.1016/j.ssci.2012.01.007 10.17576/jsm-2015-4407-18 10.1016/j.camwa.2008.02.006 10.1260/1759-3131.5.4.175 10.1016/j.enggeo.2014.04.008 10.1002/hyp.6507 10.3390/w7020634 10.1002/hyp.5553 10.1007/s11069-005-8605-5 10.1016/j.advengsoft.2008.12.009 10.1016/j.neunet.2014.09.003 10.1016/0165-0114(95)00382-7 10.1016/j.measurement.2016.04.050 10.1016/j.eswa.2011.12.008 10.1016/0022-1694(92)90046-X 10.1016/j.enggeo.2006.02.007 10.1016/0096-3003(91)90083-Y 10.1007/s10346-010-0229-5 10.1016/S1001-6279(10)60033-9 10.1007/s11269-015-1107-7 |
| ContentType | Journal Article |
| Copyright | 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2018 |
| Copyright_xml | – notice: 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2018 |
| DBID | 0YH AAYXX CITATION DOA |
| DOI | 10.1080/19942060.2018.1448896 |
| DatabaseName | Taylor & Francis Open Access CrossRef DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: 0YH name: Taylor & Francis Open Access url: https://www.tandfonline.com sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Applied Sciences Engineering |
| EISSN | 1997-003X |
| EndPage | 437 |
| ExternalDocumentID | oai_doaj_org_article_ac7df5ed6b314b23b307ae4e010c3549 10_1080_19942060_2018_1448896 1448896 |
| Genre | Review Article |
| GroupedDBID | 0YH 4.4 5VS ACGFS ADBBV ADCVX AENEX ALMA_UNASSIGNED_HOLDINGS ARCSS BCNDV EBS EJD GROUPED_DOAJ H13 KQ8 M4Z OK1 P2P PROAC RDKPK TDBHL TFMNY TFW 8G5 AAYXX ABUWG ADMLS AFKRA AZQEC BENPR BPHCQ CCPQU CITATION DWQXO GNUQQ GUQSH IPNFZ M2O PHGZM PHGZT PQQKQ RIG |
| ID | FETCH-LOGICAL-c489t-380f865ee63ce76155566fd7c37073ece6fcfbdad70b7db4cbf69a52ae93fa1b3 |
| IEDL.DBID | DOA |
| ISSN | 1994-2060 |
| IngestDate | Wed Aug 27 01:03:12 EDT 2025 Thu Apr 24 22:52:39 EDT 2025 Tue Jul 01 01:30:36 EDT 2025 Wed Dec 25 09:09:04 EST 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | open-access: http://creativecommons.org/licenses/by/4.0/: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c489t-380f865ee63ce76155566fd7c37073ece6fcfbdad70b7db4cbf69a52ae93fa1b3 |
| ORCID | 0000-0002-7744-7906 0000-0002-6605-498X 0000-0003-3229-6785 0000-0001-9662-0017 |
| OpenAccessLink | https://doaj.org/article/ac7df5ed6b314b23b307ae4e010c3549 |
| PageCount | 27 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_ac7df5ed6b314b23b307ae4e010c3549 crossref_primary_10_1080_19942060_2018_1448896 informaworld_taylorfrancis_310_1080_19942060_2018_1448896 crossref_citationtrail_10_1080_19942060_2018_1448896 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2018-01-01 |
| PublicationDateYYYYMMDD | 2018-01-01 |
| PublicationDate_xml | – month: 01 year: 2018 text: 2018-01-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationTitle | Engineering applications of computational fluid mechanics |
| PublicationYear | 2018 |
| Publisher | Taylor & Francis Taylor & Francis Group |
| Publisher_xml | – name: Taylor & Francis – name: Taylor & Francis Group |
| References | Schwefel H.-P. (CIT0176) 1981 CIT0113 CIT0112 CIT0115 Aqil M. (CIT0012) 2006; 1 CIT0114 CIT0117 CIT0116 CIT0119 CIT0118 CIT0120 CIT0001 CIT0122 CIT0121 CIT0003 CIT0124 CIT0002 CIT0123 CIT0005 CIT0126 CIT0004 CIT0125 CIT0007 CIT0128 CIT0006 CIT0127 CIT0009 CIT0008 CIT0010 CIT0131 CIT0130 CIT0133 CIT0011 CIT0132 Efron B. (CIT0060) 1994 CIT0014 CIT0135 CIT0013 CIT0134 CIT0016 CIT0137 CIT0015 CIT0136 CIT0018 CIT0139 CIT0017 CIT0138 CIT0019 CIT0140 CIT0142 CIT0020 CIT0141 CIT0023 CIT0144 CIT0022 CIT0143 CIT0025 CIT0146 CIT0024 CIT0027 CIT0148 CIT0026 CIT0147 CIT0029 CIT0149 CIT0208 CIT0201 CIT0200 CIT0202 CIT0205 CIT0204 CIT0207 CIT0206 CIT0210 CIT0219 CIT0211 CIT0214 CIT0213 CIT0216 CIT0218 CIT0217 CIT0100 CIT0221 CIT0220 CIT0109 CIT0102 CIT0223 CIT0101 CIT0222 CIT0104 CIT0225 CIT0103 CIT0224 CIT0106 CIT0227 CIT0105 CIT0108 CIT0107 CIT0072 CIT0193 CIT0071 CIT0192 CIT0074 CIT0195 CIT0073 CIT0076 CIT0197 CIT0075 CIT0196 CIT0078 CIT0199 CIT0077 Han J. (CIT0080) 2011 CIT0198 CIT0070 CIT0191 CIT0190 CIT0079 Tayyab M. (CIT0194) 2016; 12 Koza J. R. (CIT0110) 1992 CIT0083 CIT0082 CIT0084 CIT0087 CIT0089 Pyayt A. L. (CIT0161) 2011; 78 CIT0088 Rahim A. (CIT0163) 2015; 4 CIT0081 CIT0094 CIT0093 CIT0096 CIT0095 CIT0098 Holland J. H. (CIT0086) 1992 CIT0097 CIT0099 CIT0090 CIT0091 Zurada J. M. (CIT0228) 1992 CIT0030 CIT0151 Chattopadhyay S. (CIT0037) 2012; 30 CIT0153 CIT0031 CIT0152 CIT0034 CIT0155 CIT0033 CIT0154 CIT0036 CIT0157 CIT0035 CIT0156 CIT0038 CIT0159 CIT0158 CIT0039 CIT0160 CIT0162 CIT0040 CIT0043 CIT0164 CIT0045 CIT0166 CIT0044 CIT0165 CIT0047 CIT0168 CIT0046 CIT0167 CIT0049 CIT0048 CIT0169 CIT0171 CIT0170 CIT0052 CIT0173 CIT0051 CIT0172 CIT0054 CIT0175 CIT0053 CIT0174 CIT0179 CIT0057 CIT0178 CIT0061 CIT0182 CIT0181 CIT0063 Myerson R. B. (CIT0145) 2013 CIT0184 CIT0062 CIT0183 CIT0065 CIT0186 CIT0064 CIT0185 CIT0067 CIT0188 CIT0066 CIT0187 CIT0180 Bezdek J. (CIT0028) 2013 CIT0189 |
| References_xml | – ident: CIT0106 doi: 10.1016/j.jhydrol.2012.05.031 – ident: CIT0198 doi: 10.1016/j.catena.2014.10.017 – ident: CIT0117 doi: 10.1016/j.eswa.2007.05.009 – ident: CIT0224 doi: 10.1109/MGRS.2016.2540798 – ident: CIT0046 doi: 10.1080/10286600500126256 – ident: CIT0207 doi: 10.1016/1069-0115(94)90002-7 – ident: CIT0003 doi: 10.1016/j.jhydrol.2011.06.013 – volume: 1 start-page: 70 issue: 1 year: 2006 ident: CIT0012 publication-title: International Journal of Intelligent Technology – ident: CIT0051 doi: 10.1016/j.jenvman.2011.06.038 – ident: CIT0089 doi: 10.1029/95WR01955 – ident: CIT0135 doi: 10.5194/nhess-13-53-2013 – ident: CIT0216 doi: 10.1016/j.jhydrol.2015.10.038 – ident: CIT0026 doi: 10.1016/j.jhydrol.2013.10.052 – ident: CIT0125 doi: 10.1016/j.engappai.2015.09.014 – ident: CIT0072 doi: 10.1111/mice.12113 – ident: CIT0090 doi: 10.1016/j.eswa.2009.11.039 – ident: CIT0061 doi: 10.1016/j.aei.2005.01.004 – ident: CIT0020 doi: 10.1016/j.procs.2015.04.160 – ident: CIT0124 doi: 10.1007/s11356-014-3046-x – volume-title: Pattern recognition with fuzzy objective function algorithms year: 2013 ident: CIT0028 – ident: CIT0162 doi: 10.1007/s11269-009-9570-7 – ident: CIT0126 doi: 10.1016/j.geomorph.2013.01.012 – ident: CIT0221 doi: 10.1109/52.329401 – ident: CIT0078 doi: 10.1007/s00271-010-0225-5 – volume-title: Data mining: Concepts and techniques year: 2011 ident: CIT0080 – ident: CIT0062 doi: 10.1504/IJW.2009.028726 – ident: CIT0033 doi: 10.1002/hyp.5582 – ident: CIT0213 doi: 10.1029/2007WR006737 – ident: CIT0210 doi: 10.1080/02626667.2012.755264 – ident: CIT0189 doi: 10.1023/A:1008202821328 – ident: CIT0098 doi: 10.1016/j.jhydrol.2016.02.044 – ident: CIT0190 doi: 10.1002/hyp.5517 – ident: CIT0122 doi: 10.1007/s11069-012-0236-z – ident: CIT0222 doi: 10.1016/S0165-0114(99)80004-9 – ident: CIT0158 doi: 10.1016/j.comnet.2007.02.001 – ident: CIT0155 doi: 10.5194/hess-11-739-2007 – volume: 30 start-page: 701 issue: 4 year: 2012 ident: CIT0037 publication-title: Computing and Informatics – ident: CIT0188 doi: 10.1007/s00477-010-0364-5 – ident: CIT0099 doi: 10.1016/j.jhydrol.2014.11.043 – ident: CIT0169 doi: 10.1029/93WR01494 – ident: CIT0214 doi: 10.3390/w7115876 – ident: CIT0114 doi: 10.1007/s11269-005-9012-0 – ident: CIT0094 doi: 10.1007/BF02837558 – ident: CIT0173 doi: 10.1016/j.ress.2015.05.003 – ident: CIT0131 doi: 10.1007/978-0-85729-412-8_13 – ident: CIT0009 doi: 10.1007/s11269-006-0326-3 – ident: CIT0142 doi: 10.1111/mice.12062 – ident: CIT0168 doi: 10.7763/IJET.2013.V5.571 – ident: CIT0067 doi: 10.1016/j.jobe.2017.08.008 – ident: CIT0127 doi: 10.1016/S1462-0758(02)00023-7 – ident: CIT0035 doi: 10.1016/j.jhydrol.2014.06.013 – volume: 78 start-page: 118 year: 2011 ident: CIT0161 publication-title: World Academy of Science, Engineering and Technology – ident: CIT0047 doi: 10.1016/j.jhydrol.2005.05.019 – ident: CIT0180 doi: 10.2112/06-742.1 – ident: CIT0039 doi: 10.1061/(ASCE)1084-0699(2005)10:6(485) – ident: CIT0108 doi: 10.1016/j.amc.2015.08.085 – ident: CIT0205 doi: 10.1016/j.envsoft.2011.10.007 – ident: CIT0025 doi: 10.1016/S0925-2312(03)00388-6 – ident: CIT0170 doi: 10.1038/323533a0 – ident: CIT0091 doi: 10.1061/(ASCE)0733-9496(1999)125:5(263) – ident: CIT0123 doi: 10.1155/2016/7575126 – ident: CIT0175 doi: 10.5194/nhess-13-669-2013 – ident: CIT0048 doi: 10.1109/TSMCC.2004.843229 – ident: CIT0181 doi: 10.1061/(ASCE)1084-0699(2000)5:2(145) – volume: 12 start-page: 108 issue: 9 year: 2016 ident: CIT0194 publication-title: European Scientific Journal, ESJ doi: 10.19044/esj.2016.v12n9p108 – ident: CIT0007 doi: 10.1007/s11269-014-0870-1 – ident: CIT0017 doi: 10.1016/j.jhydrol.2013.10.017 – ident: CIT0208 doi: 10.1016/j.eswa.2011.11.020 – ident: CIT0011 doi: 10.1016/j.envsoft.2010.10.016 – ident: CIT0105 doi: 10.1061/(ASCE)HE.1943-5584.0000053 – ident: CIT0029 doi: 10.2478/itms-2013-0021 – ident: CIT0146 doi: 10.1061/(ASCE)0733-9429(2002)128:6(588) – ident: CIT0164 doi: 10.1007/s11269-005-9011-1 – ident: CIT0182 doi: 10.2166/nh.2011.020 – ident: CIT0204 doi: 10.1109/TFUZZ.2014.2333094 – ident: CIT0053 doi: 10.1002/joc.3754 – ident: CIT0097 doi: 10.1016/j.dss.2003.10.001 – ident: CIT0113 doi: 10.1061/(ASCE)0733-9437(2002)128:4(224) – ident: CIT0120 doi: 10.5194/nhess-13-239-2013 – ident: CIT0147 doi: 10.1007/s00521-010-0486-1 – ident: CIT0159 doi: 10.1080/1573062X.2013.820333 – ident: CIT0133 doi: 10.1029/2007WR006744 – ident: CIT0152 doi: 10.1016/j.jhydrol.2014.03.057 – ident: CIT0004 doi: 10.1016/j.jhydrol.2010.06.033 – ident: CIT0013 doi: 10.1016/j.jhydrol.2016.11.057 – ident: CIT0144 doi: 10.2166/nh.2014.168 – ident: CIT0084 doi: 10.5194/nhess-9-373-2009 – ident: CIT0156 doi: 10.1016/j.jhydrol.2008.06.013 – ident: CIT0096 doi: 10.1007/s00521-013-1344-8 – ident: CIT0102 doi: 10.1061/(ASCE)1084-0699(2003)8:6(319) – volume-title: An introduction to the bootstrap year: 1994 ident: CIT0060 doi: 10.1201/9780429246593 – ident: CIT0030 doi: 10.1002/(SICI)1096-9837(199910)24:11<1039::AID-ESP29>3.0.CO;2-U – ident: CIT0038 doi: 10.1016/j.marpolbul.2006.04.003 – ident: CIT0200 doi: 10.1016/j.jhydrol.2009.12.013 – ident: CIT0225 doi: 10.1109/TNS.2007.901200 – ident: CIT0197 doi: 10.1007/s00477-015-1021-9 – ident: CIT0118 doi: 10.1016/j.ress.2005.03.011 – ident: CIT0157 doi: 10.1016/j.jhydrol.2007.05.026 – ident: CIT0219 doi: 10.1061/(ASCE)HE.1943-5584.0000188 – ident: CIT0016 doi: 10.1007/s00477-008-0288-5 – ident: CIT0075 doi: 10.1002/hyp.9966 – ident: CIT0130 doi: 10.1016/j.asoc.2015.05.036 – ident: CIT0043 doi: 10.1002/hyp.7307 – ident: CIT0153 doi: 10.1061/(ASCE)HE.1943-5584.0000506 – ident: CIT0128 doi: 10.1016/j.jhydrol.2013.11.021 – ident: CIT0070 doi: 10.1016/j.envsci.2005.08.006 – ident: CIT0052 doi: 10.1016/j.jhydrol.2006.09.001 – ident: CIT0079 doi: 10.1029/2009WR008541 – ident: CIT0199 doi: 10.1007/s00704-015-1392-3 – volume-title: Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence year: 1992 ident: CIT0086 doi: 10.7551/mitpress/1090.001.0001 – ident: CIT0015 doi: 10.1007/s11269-014-0895-5 – volume-title: Game theory year: 2013 ident: CIT0145 doi: 10.2307/j.ctvjsf522 – ident: CIT0223 doi: 10.1016/S0022-1694(98)00242-X – ident: CIT0049 doi: 10.1142/4177 – ident: CIT0148 doi: 10.1016/j.pce.2009.12.004 – ident: CIT0116 doi: 10.1007/s11069-015-1645-6 – ident: CIT0031 doi: 10.1016/j.pce.2006.03.020 – ident: CIT0077 doi: 10.1007/s11269-013-0280-9 – ident: CIT0186 doi: 10.1002/hyp.6628 – ident: CIT0074 doi: 10.1016/j.eswa.2006.08.021 – ident: CIT0093 doi: 10.1016/j.pnsc.2008.12.010 – ident: CIT0014 doi: 10.1080/10934520701792852 – ident: CIT0191 doi: 10.1007/s00271-012-0332-6 – ident: CIT0138 doi: 10.1061/(ASCE)1084-0699(2007)12:6(626) – ident: CIT0057 doi: 10.1006/jmbi.2000.3968 – ident: CIT0063 doi: 10.1016/0165-0114(95)00248-0 – ident: CIT0103 doi: 10.1002/hyp.6837 – ident: CIT0018 doi: 10.1016/j.jhydrol.2015.07.057 – ident: CIT0008 doi: 10.1111/j.1753-318X.2011.01090.x – ident: CIT0171 doi: 10.1016/j.eswa.2015.08.043 – ident: CIT0071 doi: 10.1002/bs.3830110403 – ident: CIT0160 doi: 10.1175/1520-0442(2000)013<3625:PADFTI>2.0.CO;2 – ident: CIT0088 doi: 10.1016/S0925-2312(01)00708-1 – ident: CIT0183 doi: 10.1016/j.jhydrol.2012.12.006 – ident: CIT0022 doi: 10.1061/(ASCE)0733-9496(2008)134:3(257) – ident: CIT0187 doi: 10.1142/9789812702838_0202 – ident: CIT0083 doi: 10.1016/j.eswa.2011.02.003 – ident: CIT0005 doi: 10.1007/s12205-016-0444-2 – volume-title: Numerical optimization of computer models year: 1981 ident: CIT0176 – ident: CIT0179 doi: 10.1007/s11269-014-0584-4 – ident: CIT0119 doi: 10.1061/(ASCE)WR.1943-5452.0000260 – ident: CIT0139 doi: 10.1016/0165-0114(90)90038-8 – ident: CIT0045 doi: 10.1623/hysj.48.3.349.45288 – ident: CIT0211 doi: 10.1061/(ASCE)WR.1943-5452.0000295 – ident: CIT0165 doi: 10.1623/hysj.52.4.686 – ident: CIT0109 doi: 10.1007/BF00337288 – ident: CIT0167 doi: 10.1016/j.lindif.2007.03.011 – ident: CIT0019 doi: 10.1016/j.jhydrol.2015.11.011 – ident: CIT0202 doi: 10.1029/2011WR010782 – ident: CIT0217 doi: 10.1016/j.envsoft.2014.07.007 – volume-title: Introduction to artificial neural systems year: 1992 ident: CIT0228 – ident: CIT0140 doi: 10.1016/j.jhydrol.2013.04.041 – ident: CIT0101 doi: 10.1007/s12665-011-1504-z – ident: CIT0115 doi: 10.1016/j.jhydrol.2012.11.048 – ident: CIT0082 doi: 10.1016/j.apm.2014.02.030 – ident: CIT0036 doi: 10.1016/j.jhydrol.2014.07.036 – ident: CIT0134 doi: 10.1029/2007WR006745 – ident: CIT0095 doi: 10.1016/j.matcom.2009.10.003 – ident: CIT0002 doi: 10.1007/s11269-012-0096-z – ident: CIT0201 doi: 10.1007/s11269-014-0767-z – ident: CIT0178 doi: 10.1080/02626669909492272 – ident: CIT0193 doi: 10.1002/hyp.6320 – ident: CIT0185 doi: 10.5004/dwt.2011.2712 – ident: CIT0081 doi: 10.1016/j.advwatres.2008.07.009 – ident: CIT0064 doi: 10.1007/s00521-012-1240-7 – ident: CIT0206 doi: 10.3390/rs5115642 – ident: CIT0195 doi: 10.1016/j.jhydrol.2013.09.034 – ident: CIT0040 doi: 10.1016/j.jhydrol.2010.02.019 – ident: CIT0065 doi: 10.1002/rra.3108 – ident: CIT0151 doi: 10.1007/s11629-014-3121-2 – ident: CIT0192 doi: 10.1016/j.cageo.2012.02.004 – ident: CIT0196 doi: 10.1016/j.jhydrol.2014.03.008 – ident: CIT0054 doi: 10.1029/2008JD010485 – ident: CIT0132 doi: 10.1109/5.364485 – ident: CIT0136 doi: 10.5194/nhess-10-1697-2010 – ident: CIT0143 doi: 10.1007/s11269-012-0239-2 – ident: CIT0220 doi: 10.1016/j.jhydrol.2006.01.021 – ident: CIT0027 doi: 10.5194/nhess-15-587-2015 – ident: CIT0006 doi: 10.1016/S0048-9697(03)00433-9 – ident: CIT0184 doi: 10.1007/s10700-006-7333-y – ident: CIT0100 doi: 10.1177/0962280213502437 – ident: CIT0172 doi: 10.1007/s11269-013-0446-5 – ident: CIT0024 doi: 10.1007/s10346-009-0177-0 – ident: CIT0112 doi: 10.1002/bimj.201300068 – ident: CIT0121 doi: 10.1016/j.ssci.2012.01.007 – ident: CIT0001 doi: 10.17576/jsm-2015-4407-18 – ident: CIT0141 doi: 10.1016/j.camwa.2008.02.006 – ident: CIT0107 doi: 10.1260/1759-3131.5.4.175 – ident: CIT0076 doi: 10.1016/j.enggeo.2014.04.008 – volume-title: Genetic programming II, automatic discovery of reusable subprograms year: 1992 ident: CIT0110 – ident: CIT0166 doi: 10.1002/hyp.6507 – ident: CIT0218 doi: 10.3390/w7020634 – ident: CIT0149 doi: 10.1002/hyp.5553 – volume: 4 start-page: 479 year: 2015 ident: CIT0163 publication-title: Int J Sci Res – ident: CIT0087 doi: 10.1007/s11069-005-8605-5 – ident: CIT0010 doi: 10.1016/j.advengsoft.2008.12.009 – ident: CIT0174 doi: 10.1016/j.neunet.2014.09.003 – ident: CIT0044 doi: 10.1016/0165-0114(95)00382-7 – ident: CIT0066 doi: 10.1016/j.measurement.2016.04.050 – ident: CIT0227 doi: 10.1016/j.eswa.2011.12.008 – ident: CIT0073 doi: 10.1016/0022-1694(92)90046-X – ident: CIT0034 doi: 10.1016/j.enggeo.2006.02.007 – ident: CIT0023 doi: 10.1016/0096-3003(91)90083-Y – ident: CIT0154 doi: 10.1007/s10346-010-0229-5 – ident: CIT0137 doi: 10.1016/S1001-6279(10)60033-9 – ident: CIT0104 doi: 10.1007/s11269-015-1107-7 |
| SSID | ssib050731174 ssj0001753472 |
| Score | 2.5610065 |
| Snippet | Flooding produces debris and waste including liquids, dead animal bodies and hazardous materials such as hospital waste. Debris causes serious threats to... |
| SourceID | doaj crossref informaworld |
| SourceType | Open Website Enrichment Source Index Database Publisher |
| StartPage | 411 |
| SubjectTerms | Big data computational intelligence flood management system natural hazard |
| SummonAdditionalLinks | – databaseName: Taylor & Francis Open Access dbid: 0YH link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1NT9wwELUKvZRDodsitpRqDhybNokdO-4NKtAKiV7oSu0p8iesBLtoE1bi39fjOKttpcKhx0SxFXnGnufx8xtCjlVBffAUm4ngDxljlGfSVCpjVkuqasekxoT-5Xc-mbKLn9XAJmwTrRL30L4XiohrNU5upduBEfcF5WzLnOdIzKrxdLKuJd8iL0sR4k1w6fzXZHCpgHZoUSSEE9MuAZ6zWNIpiuJiN8O9nn_1_EfEisL-f8mabgSk8z3yOiFJOOlN_4a8cPMR2U2oEtKcbUdkZ0Ny8C1ZXT0sV-4RFh5MLOiQkoEw29DmBNVCCG-zFroF6Nk1eKS3w92aKvMVzFCEpf0ESTDoBvr4iI4MYXCh1ysBpH69I9Pzsx_fJlmqvZAZVssuo3Xua145x6lxAg8vA-7zVhgqwpA647g3XltlRa6F1cxoz6WqSuUk9arQdJ9szxdzd0CAoXoSrwPy0ZRV0mulqWDM-tJX3Ak7JmwY38YkYXKsj3HbFEm_dDBLg2ZpklnG5PO62X2vzPFcg1M03vpjFNaOLxbL6ybN00YZYX3lLNe0YLqkOqyByjEXtq2Ghr30mMhN0zddzKv4vghKQ5_8gff_0faQvMLHPvnzgWx3ywd3FOBQpz9Gh_8NlHT9bQ priority: 102 providerName: Taylor & Francis |
| Title | Survey of computational intelligence as basis to big flood management: challenges, research directions and future work |
| URI | https://www.tandfonline.com/doi/abs/10.1080/19942060.2018.1448896 https://doaj.org/article/ac7df5ed6b314b23b307ae4e010c3549 |
| Volume | 12 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1NT9tAEF1BTvQANBSRQtEcesTFzq73o7e2AkWV6AUi0ZO1n20kcKrEicSlv50dexNZHMqlFx9GXmu18-x5Ozt-Q8hHXdAQkeIyEfGQMUZ5pmypM-aMolp6pgwm9G9-8MmUfb8v73utvrAmrJMH7hbuUlvhQukdN7RgZkxNBKX2zMd9hKVxc4Nf31zlvc1URFIkObQoErFpsy2RlbO2k1OrhTvOeb75nUfml2hDE1Z6STzulBJF_HuBqtXzf6Fm2otD14dkPxFI-NJN_C3Z8fWQHCQyCelVXQ7Jm57S4BFZ364Wa_8E8wC27eOQcoAw60lygl5CjGqzJTRzMLNfELCqHR63FTKfwW56rywvIOkE_YYuLCJ-QdcOOpkSwIqvd2R6fXX3bZKllguZZVI1GZV5kLz0nlPrBZ5ZRroXnLBUxCX11vNgg3HaidwIZ5g1gStdjrVXNOjC0GMyqOe1PyHAUDSJy0h4DGWlCkYbKhhzYRxK7oUbEbZZ38omPXJsi_FQFUm2dOOWCt1SJbeMyKftsD-dIMdrA76i87Y3o552a4goqxLKqtdQNiKq7_qqadMpoet9UtF_TuD9_5jAKdnDZ3bJnzMyaBYr_yHSocack9385-S8xX-83vy9egb8GgL8 |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELagHKAHCgXUhQJz4EggWTt-cKMV1QJtL7RSOVl-lpVgF-2mlfj3eBxnFZCAA9cktqKZseeb8fgbQl6YhsZkKb4SyR4qxiivlGtNxbxV1MjAlMWE_skpn52zDxftxeguDJZVYgwde6KIvFfj4sZk9FAS9xr5bKc1r7EyS-LxpJSK3yS3Wik52nr9eTbYVII7tGkKxMl5l4TPWe7plFlxcZrhYs-fZv7FZWVm_994TUce6egeuVugJLztdX-f3AiLXbJTYCWURbveJdsjzsEH5PrT1eo6_IBlBJc7OpRsIMxH5Jxg1pD823wN3RLs_BIi1rfDt02tzBtwQxeW9UsojEFfoHeQaMmQpAs9YQlg7ddDcn707uxwVpXmC5VjUnUVlXWUvA2BUxcEnl4m4Be9cFQkkQYXeHTReuNFbYW3zNnIlWmnJigaTWPpI7K1WC7CHgGG9ElcJuhjKWtVtMZSwZiP09jyIPyEsEG-2hVmcmyQ8VU3hcB0UItGteiilgl5tRn2vafm-NeAA1Te5mNk1s4PlqtLXRaqNk742AbPLW2YnVKbNkETWEhxq6MpmJ4QNVa97nJiJfZdUDT96w88_o-xz8nt2dnJsT5-f_rxCbmDr_pM0D7Z6lZX4WnCRp19lo3_J2e4APE |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELagSAgOFAoVCy3MgSOBZO34wY1HV8urQoJKcLL8LCvBbrVJK_Hv8TjOakECDlyT2Io8Y8_n8edvCHlkGhqTp_hKJH-oGKO8Uq41FfNWUSMDUxYT-u-P-fyEvfncjmzCrtAqcQ8dB6GIvFbj5D7zcWTEPUU522nNayRmSTydlFLxy-RKKxM8Ty5df5mPLpXQDm2agnBy2iXBc5ZLOmVRXOxmvNfzp55_iVhZ2P83WdOtgDS7SW4UJAnPB9PfIpfCco_sFlQJZc52e-T6luTgbXLx8Xx9EX7AKoLLBR1KMhAWW9qcYDpI4W3RQb8CuziFiPR2-L6hyjwDNxZh6R5DEQz6CkN8REeGNLgw6JUAUr_ukJPZ0aeX86rUXqgck6qvqKyj5G0InLog8PAy4b7ohaMiDWlwgUcXrTde1FZ4y5yNXJl2aoKi0TSW7pOd5WoZ7hJgqJ7EZUI-lrJWRWssFYz5OI0tD8JPCBvHV7siTI71Mb7ppuiXjmbRaBZdzDIhTzbNzgZljn81eIHG23yMwtr5wWp9qss81cYJH9vguaUNs1Nq0xpoAgtp2-po2ktPiNo2ve5zXiUORVA0_esP3PuPtg_J1Q-vZvrd6-O398k1fDPkgQ7ITr8-D4cJGfX2Qfb9n8LUABo |
| 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=Survey+of+computational+intelligence+as+basis+to+big+flood+management%3A+challenges%2C+research+directions+and+future+work&rft.jtitle=Engineering+applications+of+computational+fluid+mechanics&rft.au=Farnaz+Fotovatikhah&rft.au=Manuel+Herrera&rft.au=Shahaboddin+Shamshirband&rft.au=Kwok-wing+Chau&rft.date=2018-01-01&rft.pub=Taylor+%26+Francis+Group&rft.issn=1994-2060&rft.eissn=1997-003X&rft.volume=12&rft.issue=1&rft.spage=411&rft.epage=437&rft_id=info:doi/10.1080%2F19942060.2018.1448896&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_ac7df5ed6b314b23b307ae4e010c3549 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1994-2060&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1994-2060&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1994-2060&client=summon |