{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T17:13:35Z","timestamp":1792516415495,"version":"4.5.0"},"reference-count":53,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Environmental Management"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1016\/j.jenvman.2022.117040","type":"journal-article","created":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T23:01:05Z","timestamp":1671231665000},"page":"117040","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":63,"special_numbering":"C","title":["Flood risk assessment by using an interpretative structural modeling based Bayesian network approach (ISM-BN): An urban-level analysis of Shenzhen, China"],"prefix":"10.1016","volume":"329","author":[{"given":"Guyuan","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaofeng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing-Cheng","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bing","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuefei","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongqiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jenvman.2022.117040_bib1","doi-asserted-by":"crossref","first-page":"1629","DOI":"10.1016\/j.jclepro.2017.11.066","article-title":"Assessing urban areas vulnerability to pluvial flooding using GIS applications and Bayesian Belief Network model","volume":"174","author":"Abebe","year":"2018","journal-title":"J. Clean. Prod."},{"key":"10.1016\/j.jenvman.2022.117040_bib2","doi-asserted-by":"crossref","first-page":"14","DOI":"10.3390\/ijgi10040252","article-title":"Mapping coastal flood susceptible areas using shannon's entropy model: the case of muscat governorate, Oman","volume":"10","author":"Al-Hinai","year":"2021","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"10.1016\/j.jenvman.2022.117040_bib3","doi-asserted-by":"crossref","first-page":"1579","DOI":"10.1016\/j.techfore.2011.03.014","article-title":"Scenario construction via Delphi and cross-impact analysis","volume":"78","author":"Banuls","year":"2011","journal-title":"Technol. Forecast. Soc. Change"},{"key":"10.1016\/j.jenvman.2022.117040_bib4","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1023\/B:NHAZ.0000024895.48463.eb","article-title":"Use of systematic, palaeoflood and historical data for the improvement of flood risk estimation. review of scientific methods","volume":"31","author":"Benito","year":"2004","journal-title":"Nat. Hazards"},{"key":"10.1016\/j.jenvman.2022.117040_bib5","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.ecolmodel.2005.07.006","article-title":"Assessing the decline of brown trout (Salmo trutta) in Swiss rivers using a Bayesian probability network","volume":"192","author":"Borsuk","year":"2006","journal-title":"Ecol. Model."},{"key":"10.1016\/j.jenvman.2022.117040_bib6","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.jhydrol.2021.126759","article-title":"Understanding the relationship between rainfall and flood probabilities through combined intensity-duration-frequency analysis","volume":"602","author":"Breinl","year":"2021","journal-title":"J. Hydrol."},{"key":"10.1016\/j.jenvman.2022.117040_bib7","doi-asserted-by":"crossref","first-page":"2146","DOI":"10.1109\/TII.2018.2858281","article-title":"Application of bayesian networks in reliability evaluation","volume":"15","author":"Cai","year":"2019","journal-title":"IEEE Trans. Ind. Inf."},{"key":"10.1016\/j.jenvman.2022.117040_bib8","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1007\/s13157-013-0439-4","article-title":"An evaluation of MODIS daily and 8-day composite products for floodplain and wetland inundation mapping","volume":"33","author":"Chen","year":"2013","journal-title":"Wetlands"},{"key":"10.1016\/j.jenvman.2022.117040_bib9","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1016\/j.scitotenv.2015.08.094","article-title":"A spatial assessment framework for evaluating flood risk under extreme climates","volume":"538","author":"Chen","year":"2015","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.jenvman.2022.117040_bib11","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1023\/A:1008068426567","article-title":"Coupling GIS with hydrologic and hydraulic flood modelling","volume":"12","author":"Correia","year":"1998","journal-title":"Water Resour. Manag."},{"key":"10.1016\/j.jenvman.2022.117040_bib12","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.advwatres.2016.05.002","article-title":"Development and evaluation of a framework for global flood hazard mapping","volume":"94","author":"Dottori","year":"2016","journal-title":"Adv. Water Resour."},{"key":"10.1016\/j.jenvman.2022.117040_bib13","first-page":"88","article-title":"Decrease-increase effect of influential factors of flood","volume":"17","author":"Feng","year":"2002","journal-title":"Journal of Catastrophology"},{"key":"10.1016\/j.jenvman.2022.117040_bib14","first-page":"1461","article-title":"Water body detection and delineation with Landsat TM data","volume":"66","author":"Frazier","year":"2000","journal-title":"Photogramm. Eng. Rem. Sens."},{"key":"10.1016\/j.jenvman.2022.117040_bib15","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0034-4257(96)00067-3","article-title":"Ndwi - a normalized difference water index for remote sensing of vegetation liquid water from space","volume":"58","author":"Gao","year":"1996","journal-title":"Rem. Sens. Environ."},{"key":"10.1016\/j.jenvman.2022.117040_bib16","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1080\/09537287.2011.642134","article-title":"Analysis of critical success factors of world-class manufacturing practices: an application of interpretative structural modelling and interpretative ranking process","volume":"23","author":"Haleem","year":"2012","journal-title":"Prod. Plann. Control"},{"key":"10.1016\/j.jenvman.2022.117040_bib17","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1007\/s00477-020-01793-1","article-title":"Risk assessment through multivariate analysis on the magnitude and occurrence date of daily storm events in the Shenzhen bay area","volume":"34","author":"Han","year":"2020","journal-title":"Stoch. Environ. Res. Risk Assess."},{"key":"10.1016\/j.jenvman.2022.117040_bib18","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)WR.1943-5452.0001612","article-title":"Downscaling of precipitation for climate change projections using multiple machine learning techniques: case study of shenzhen city, China","volume":"148","author":"Han","year":"2022","journal-title":"J. Water Resour. Plann. Manag."},{"key":"10.1016\/j.jenvman.2022.117040_bib19","first-page":"1","article-title":"Risk assessment of storm water fooding in Shenzhen City based onfuzzy comprehensive evaluation method","volume":"1","author":"Huang","year":"2021","journal-title":"J. Water Resour.& Water Engineering"},{"key":"10.1016\/j.jenvman.2022.117040_bib20","series-title":"Key Disaster-Causing Factors Chains on Urban Flood Risk Based on Bayesian Network","author":"Huang","year":"2021"},{"issue":"4","key":"10.1016\/j.jenvman.2022.117040_bib21","first-page":"582","article-title":"Spatiotemporal variation characteristics of rainstorms and related flooddisasters in Jiangnan region in the recent 41 years","volume":"79","author":"Huang Y F","year":"2021","journal-title":"Acta Meteorol. Sin."},{"key":"10.1016\/j.jenvman.2022.117040_bib22","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1111\/j.1753-318X.2012.01133.x","article-title":"Validating the return period of rainfall thresholds used for Extreme Rainfall Alerts by linking rainfall intensities with observed surface water flood events","volume":"5","author":"Hurford","year":"2012","journal-title":"Journal of Flood Risk Management"},{"key":"10.1016\/j.jenvman.2022.117040_bib23","series-title":"Bayesian Networks and Decision Graphs","author":"Jensen","year":"2007"},{"key":"10.1016\/j.jenvman.2022.117040_bib24","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.ssci.2019.02.009","article-title":"Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: a review","volume":"115","author":"Kabir","year":"2019","journal-title":"Saf. Sci."},{"key":"10.1016\/j.jenvman.2022.117040_bib25","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.ejor.2014.06.033","article-title":"Evaluating risk of water mains failure using a Bayesian belief network model","volume":"240","author":"Kabir","year":"2015","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.jenvman.2022.117040_bib26","first-page":"454","article-title":"Urban flood inundation simulation based on high-precision 3D modeling","author":"Kim","year":"2021","journal-title":"J. Coast Res."},{"key":"10.1016\/j.jenvman.2022.117040_bib27","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.jhydrol.2019.03.002","article-title":"Risk assessment and sensitivity analysis of flash floods in ungauged basins using coupled hydrologic and hydrodynamic models","volume":"572","author":"Li","year":"2019","journal-title":"J. Hydrol."},{"key":"10.1016\/j.jenvman.2022.117040_bib28","first-page":"179","article-title":"Comparison and analysis of water extraction methods suitable for urban flood","volume":"5","author":"Li","year":"2020","journal-title":"Ground Water"},{"key":"10.1016\/j.jenvman.2022.117040_bib29","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1007\/s11069-019-03615-2","article-title":"Urban flood susceptibility analysis using a GIS-based multi-criteria analysis framework","volume":"97","author":"Lin","year":"2019","journal-title":"Nat. Hazards"},{"key":"10.1016\/j.jenvman.2022.117040_bib30","doi-asserted-by":"crossref","first-page":"1575","DOI":"10.1007\/s00477-015-1198-y","article-title":"Assessing spatial likelihood of flooding hazard using na < ve Bayes and GIS: a case study in Bowen Basin, Australia","volume":"30","author":"Liu","year":"2016","journal-title":"Stoch. Environ. Res. Risk Assess."},{"key":"10.1016\/j.jenvman.2022.117040_bib31","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1016\/j.scitotenv.2018.01.138","article-title":"Flood risk assessment in metro systems of mega-cities using a GIS-based modeling approach","volume":"626","author":"Lyu","year":"2018","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.jenvman.2022.117040_bib32","article-title":"An integrated quantitative framework to assess the impacts of disaster-inducing factors on causing urban flood","volume":"22","author":"Ma","year":"2022","journal-title":"Nat. Hazards"},{"key":"10.1016\/j.jenvman.2022.117040_bib33","doi-asserted-by":"crossref","first-page":"1425","DOI":"10.1080\/01431169608948714","article-title":"The use of the normalized difference water index (NDWI) in the delineation of open water features","volume":"17","author":"McFeeters","year":"1996","journal-title":"Int. J. Rem. Sens."},{"key":"10.1016\/j.jenvman.2022.117040_bib34","doi-asserted-by":"crossref","first-page":"3373","DOI":"10.1080\/01431161.2011.611185","article-title":"Spectral mixture analysis for bi-sensor wetland mapping using Landsat TM and Terra MODIS data","volume":"33","author":"Michishita","year":"2012","journal-title":"Int. J. Rem. Sens."},{"key":"10.1016\/j.jenvman.2022.117040_bib35","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1016\/S0377-2217(99)00368-9","article-title":"A Bayesian network approach to making inferences in causal maps","volume":"128","author":"Nadkarni","year":"2001","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.jenvman.2022.117040_bib36","volume":"vol. 19","author":"Noorbeh","year":"2020"},{"key":"10.1016\/j.jenvman.2022.117040_bib37","doi-asserted-by":"crossref","first-page":"1515","DOI":"10.3390\/w6061515","article-title":"Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: methodological overview and case study assessment","volume":"6","author":"Ouma","year":"2014","journal-title":"Water"},{"key":"10.1016\/j.jenvman.2022.117040_bib38","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1515\/johh-2015-0024","article-title":"The role of station density for predicting daily runoff by top-kriging interpolation in Austria","volume":"63","author":"Parajka","year":"2015","journal-title":"J. Hydrol. Hydromechanics"},{"key":"10.1016\/j.jenvman.2022.117040_bib39","first-page":"683","article-title":"Advances in applications of MODIS to hydrology and water resources","volume":"15","author":"Peng","year":"2004","journal-title":"Adv. Water Sci."},{"key":"10.1016\/j.jenvman.2022.117040_bib40","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1007\/s11069-021-04715-8","article-title":"A review on applications of urban flood models in flood mitigation strategies","volume":"108","author":"Qi","year":"2021","journal-title":"Nat. Hazards"},{"key":"10.1016\/j.jenvman.2022.117040_bib41","article-title":"A hierarchical bayesian network model for flood resilience quantification of housing infrastructure systems","volume":"7","author":"Sen","year":"2021","journal-title":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civ. Eng."},{"key":"10.1016\/j.jenvman.2022.117040_bib42","article-title":"A hierarchical bayesian network model for flood resilience quantification of housing infrastructure systems","volume":"7","author":"Sen","year":"2021","journal-title":"Asce-Asme Journal of Risk and Uncertainty in Engineering Systems Part a-Civil Engineering"},{"key":"10.1016\/j.jenvman.2022.117040_bib43","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1016\/j.scitotenv.2016.03.150","article-title":"A multi-disciplinary approach to evaluate pluvial floods risk under changing climate: the case study of the municipality of Venice (Italy)","volume":"562","author":"Sperotto","year":"2016","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.jenvman.2022.117040_bib44","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1038\/s41586-021-03695-w","article-title":"Satellite imaging reveals increased proportion of population exposed to floods","volume":"596","author":"Tellman","year":"2021","journal-title":"Nature"},{"key":"10.1016\/j.jenvman.2022.117040_bib45","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.jconhyd.2016.02.003","article-title":"A Bayesian belief network approach for assessing uncertainty in conceptual site models at contaminated sites","volume":"188","author":"Thomsen","year":"2016","journal-title":"J. Contam. Hydrol."},{"key":"10.1016\/j.jenvman.2022.117040_bib46","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1109\/JSTARS.2014.2387196","article-title":"A simple enhanced water index (EWI) for percent surface water estimation using Landsat data","volume":"8","author":"Wang","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Rem. Sens."},{"key":"10.1016\/j.jenvman.2022.117040_bib47","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.jhydrol.2022.127735","article-title":"Rapid prediction of flood inundation by interpolation between flood library maps for real-time applications","volume":"609","author":"Wang","year":"2022","journal-title":"J. Hydrol."},{"key":"10.1016\/j.jenvman.2022.117040_bib48","doi-asserted-by":"crossref","first-page":"2163","DOI":"10.1080\/19475705.2019.1685010","article-title":"Assessing urban flood disaster risk using Bayesian network model and GIS applications","volume":"10","author":"Wu","year":"2019","journal-title":"Geomatics, Nat. Hazards Risk"},{"key":"10.1016\/j.jenvman.2022.117040_bib49","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhydrol.2020.124596","article-title":"Urban flood disaster risk evaluation based on ontology and Bayesian Network","volume":"583","author":"Wu","year":"2020","journal-title":"J. Hydrol."},{"key":"10.1016\/j.jenvman.2022.117040_bib50","doi-asserted-by":"crossref","first-page":"3025","DOI":"10.1080\/01431160600589179","article-title":"Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery","volume":"27","author":"Xu","year":"2006","journal-title":"Int. J. Rem. Sens."},{"key":"10.1016\/j.jenvman.2022.117040_bib51","first-page":"713","article-title":"Progress on disaster mechanism and risk assessment of urban flood\/waterlogging disasters in China","volume":"31","author":"Xu","year":"2020","journal-title":"Adv. Water Sci."},{"key":"10.1016\/j.jenvman.2022.117040_bib52","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1108\/JM2-08-2018-0116","article-title":"Modelling strategic orientation dimensions and performance of small and medium enterprises an application of interpretative structural modelling","volume":"14","author":"Yadav","year":"2019","journal-title":"J. Model. Manag."},{"key":"10.1016\/j.jenvman.2022.117040_bib53","doi-asserted-by":"crossref","first-page":"5001","DOI":"10.5194\/hess-22-5001-2018","article-title":"Improvement of the SWAT model for event-based flood simulation on a sub-daily timescale","volume":"22","author":"Yu","year":"2018","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"10.1016\/j.jenvman.2022.117040_bib54","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1080\/1573062X.2021.1893366","article-title":"Impacts of changing drainage indicators on urban flood volumes in historical urbanization in the case of Northern China","volume":"18","author":"Zhou","year":"2021","journal-title":"Urban Water J."}],"container-title":["Journal of Environmental Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0301479722026135?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0301479722026135?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T10:34:49Z","timestamp":1759574089000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0301479722026135"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":53,"alternative-id":["S0301479722026135"],"URL":"https:\/\/doi.org\/10.1016\/j.jenvman.2022.117040","relation":{},"ISSN":["0301-4797"],"issn-type":[{"value":"0301-4797","type":"print"}],"subject":[],"published":{"date-parts":[[2023,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Flood risk assessment by using an interpretative structural modeling based Bayesian network approach (ISM-BN): An urban-level analysis of Shenzhen, China","name":"articletitle","label":"Article Title"},{"value":"Journal of Environmental Management","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jenvman.2022.117040","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"117040"}}