{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T21:06:30Z","timestamp":1793394390624,"version":"4.5.0"},"reference-count":70,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100006261","name":"Taif University","doi-asserted-by":"publisher","award":["TU-DSPP-2024-173"],"award-info":[{"award-number":["TU-DSPP-2024-173"]}],"id":[{"id":"10.13039\/501100006261","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Environmental Management"],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1016\/j.jenvman.2025.127128","type":"journal-article","created":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T23:03:38Z","timestamp":1756422218000},"page":"127128","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":23,"special_numbering":"C","title":["Flood susceptibility mapping in arid urban areas using SHAP-enhanced stacked ensemble learning: A case study of Jeddah"],"prefix":"10.1016","volume":"393","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4735-9750","authenticated-orcid":false,"given":"Bilel","family":"Zerouali","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3163-6680","authenticated-orcid":false,"given":"Abdulrazak H.","family":"Almaliki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7927-9718","authenticated-orcid":false,"given":"Celso Augusto Guimar\u00e3es","family":"Santos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.jenvman.2025.127128_bib1","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1007\/s11069-024-06864-y","article-title":"Multi-criteria analysis and geospatial applications-based mapping flood vulnerable areas: a case study from the eastern mediterranean","volume":"121","author":"Abdo","year":"2025","journal-title":"Nat. Hazards"},{"issue":"1","key":"10.1016\/j.jenvman.2025.127128_bib3","article-title":"GIS\u2010Based identification and analysis of optimal evacuation areas and routes in flood\u2010prone zones of swabi District, Pakistan","volume":"2024","author":"Ahmad","year":"2024","journal-title":"J. Eng."},{"issue":"1","key":"10.1016\/j.jenvman.2025.127128_bib4","first-page":"145","article-title":"Machine learning-based optimization of flood susceptibility mapping in semi-arid zone","volume":"6","author":"Ait Naceur","year":"2025","journal-title":"DYSONA-Applied Science"},{"issue":"14","key":"10.1016\/j.jenvman.2025.127128_bib5","doi-asserted-by":"crossref","first-page":"2041","DOI":"10.3390\/w17142041","article-title":"Flood susceptibility assessment using multi-tier feature selection and ensemble boosting machine learning models","volume":"17","author":"Ajin","year":"2025","journal-title":"Water"},{"issue":"1","key":"10.1016\/j.jenvman.2025.127128_bib6","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/s12145-023-00953-5","article-title":"Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey","volume":"16","author":"Ak\u0131nc\u0131","year":"2023","journal-title":"Earth Science Informatics"},{"key":"10.1016\/j.jenvman.2025.127128_bib81","doi-asserted-by":"crossref","DOI":"10.1007\/s10668-024-04785-1","article-title":"Assessing flood susceptibility with ALOS PALSAR and LiDAR digital terrain models using the height above nearest drainage (HAND) model","author":"Alves","year":"2024","journal-title":"Environ. Dev. Sustain."},{"issue":"2","key":"10.1016\/j.jenvman.2025.127128_bib7","doi-asserted-by":"crossref","first-page":"119","DOI":"10.5267\/j.jpm.2022.11.002","article-title":"Structural equation modeling of critical success factors in the programs of development regional","volume":"8","author":"Al-Zwainy","year":"2023","journal-title":"Journal of Project Management"},{"key":"10.1016\/j.jenvman.2025.127128_bib8","first-page":"1","article-title":"Forecasting climate risk and heat stress hazards in arid ecosystems: machine learning and ensemble models for specific humidity prediction in Dammam, Saudi Arabia","author":"Aldosary","year":"2025","journal-title":"Nat. Hazards"},{"issue":"2","key":"10.1016\/j.jenvman.2025.127128_bib9","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s42797-025-00120-7","article-title":"Flash flood risk zoning in Gomti River Basin in Eastern Bangladesh and Tripura State (India) using MCDM-GIS Tool","volume":"7","author":"Alif","year":"2025","journal-title":"Safety in Extreme Environments"},{"issue":"8","key":"10.1016\/j.jenvman.2025.127128_bib10","article-title":"Assessing coastal vulnerability and land use to sea level rise in Jeddah province, Kingdom of Saudi Arabia","volume":"9","author":"Almaliki","year":"2023","journal-title":"Helyon"},{"key":"10.1016\/j.jenvman.2025.127128_bib11","doi-asserted-by":"crossref","DOI":"10.1016\/j.indic.2023.100323","article-title":"An environmental impact assessment of Saudi Arabia's vision 2030 for sustainable urban development: a policy perspective on greenhouse gas emissions","volume":"21","author":"Altouma","year":"2024","journal-title":"Environmental and Sustainability Indicators"},{"issue":"3","key":"10.1016\/j.jenvman.2025.127128_bib12","doi-asserted-by":"crossref","first-page":"2957","DOI":"10.1007\/s11069-022-05793-y","article-title":"Predicting and analyzing flood susceptibility using boosting-based ensemble machine learning algorithms with SHapley Additive exPlanations","volume":"116","author":"Aydin","year":"2023","journal-title":"Nat. Hazards"},{"key":"10.1016\/j.jenvman.2025.127128_bib13","first-page":"1","article-title":"Climate change and urban flooding: assessing remote sensing data and flood modeling techniques: a comprehensive review","volume":"33","author":"Bagheri","year":"2024","journal-title":"Environ. Rev."},{"key":"10.1016\/j.jenvman.2025.127128_bib15","first-page":"1","article-title":"Improving flood susceptibility assessment using Monte Carlo and fuzzy ANP-based ensembles: the case of B\u00e9ja\u00efa city, Algeria","author":"Bouamrane","year":"2025","journal-title":"Hydrol. Sci. J."},{"issue":"2","key":"10.1016\/j.jenvman.2025.127128_bib16","doi-asserted-by":"crossref","first-page":"2133","DOI":"10.1007\/s11069-024-06887-5","article-title":"Assessing future changes in flood susceptibility under projections from the sixth coupled model intercomparison project: case study of Algiers City (Algeria)","volume":"121","author":"Bouamrane","year":"2025","journal-title":"Nat. Hazards"},{"issue":"4","key":"10.1016\/j.jenvman.2025.127128_bib17","first-page":"1","article-title":"Xgboost: extreme gradient boosting","volume":"1","author":"Chen","year":"2015","journal-title":"R Package Version 0.4-2"},{"issue":"1","key":"10.1016\/j.jenvman.2025.127128_bib18","article-title":"Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, Romania","volume":"14","author":"Costache","year":"2023","journal-title":"Geomat. Nat. Hazards Risk"},{"issue":"4","key":"10.1016\/j.jenvman.2025.127128_bib19","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1007\/s13201-024-02131-4","article-title":"Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning","volume":"14","author":"Costache","year":"2024","journal-title":"Appl. Water Sci."},{"key":"10.1016\/j.jenvman.2025.127128_bib20","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2020.118533","article-title":"Multi-level constraints wind farms siting for a complex terrain in a tropical region using MCDM approach coupled with GIS","volume":"211","author":"Cunden","year":"2020","journal-title":"Energy"},{"key":"10.1016\/j.jenvman.2025.127128_bib21","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1002\/9781394249619.ch15","article-title":"Assessment and management of flash floods in the India himalayas: challenges, strategies, and solutions","author":"Dar","year":"2025","journal-title":"Water Resources Management in Mountain Regions"},{"issue":"6","key":"10.1016\/j.jenvman.2025.127128_bib22","article-title":"An expert System to detect political Arabic articles orientation using CatBoost classifier boosted by multi-level features","volume":"48","author":"Darwish","year":"2024","journal-title":"Comput. Syst. Sci. Eng."},{"issue":"8","key":"10.1016\/j.jenvman.2025.127128_bib23","doi-asserted-by":"crossref","first-page":"3624","DOI":"10.2166\/wcc.2024.726","article-title":"Integrated approaches for flash flood susceptibility mapping: spatial modeling and comparative analysis of statistical and machine learning models. A case study of the Rheraya watershed, Morocco","volume":"15","author":"Elghouat","year":"2024","journal-title":"J. Water Clim. Change"},{"key":"10.1016\/j.jenvman.2025.127128_bib25","doi-asserted-by":"crossref","DOI":"10.1016\/j.uclim.2024.102272","article-title":"Mapping flood risk using a workflow including deep learning and MCDM\u2013Application to southern Iran","volume":"59","author":"Gholami","year":"2025","journal-title":"Urban Clim."},{"key":"10.1016\/j.jenvman.2025.127128_bib26","article-title":"Exploring forest fire susceptibility and management strategies in Western Himalaya: integrating ensemble machine learning and explainable AI for accurate prediction and comprehensive analysis","volume":"35","author":"Hang","year":"2024","journal-title":"Environmental Technology & Innovation"},{"key":"10.1016\/j.jenvman.2025.127128_bib27","article-title":"A novel approach in comparing the performance of bivariate statistical methods, boosting, and stacking models in flood susceptibility assessment","volume":"387","author":"Hang","year":"2025","journal-title":"J. Environ. Manag."},{"issue":"19","key":"10.1016\/j.jenvman.2025.127128_bib29","doi-asserted-by":"crossref","first-page":"6325","DOI":"10.3390\/s24196325","article-title":"Smart physiotherapy: advancing arm-based exercise classification with PoseNet and ensemble models","volume":"24","author":"Hussain","year":"2024","journal-title":"Sensors"},{"key":"10.1016\/j.jenvman.2025.127128_bib30","first-page":"1","article-title":"Unprecedented rainfall in the United Arab Emirates: hydrologic and flood impact analysis of the April 2024 event","author":"Hussein","year":"2025","journal-title":"Nat. Hazards"},{"issue":"3","key":"10.1016\/j.jenvman.2025.127128_bib31","article-title":"Flood susceptibility modelling using advanced ensemble machine learning models","volume":"12","author":"Islam","year":"2021","journal-title":"Geosci. Front."},{"issue":"2","key":"10.1016\/j.jenvman.2025.127128_bib32","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.1007\/s12145-023-01213-2","article-title":"Flood susceptibility mapping through geoinformatics and ensemble learning methods, with an emphasis on the AdaBoost-Decision Tree algorithm, in Mazandaran, Iran","volume":"17","author":"Jahanbani","year":"2024","journal-title":"Earth Science Informatics"},{"key":"10.1016\/j.jenvman.2025.127128_bib33","doi-asserted-by":"crossref","first-page":"121886","DOI":"10.1109\/ACCESS.2022.3222883","article-title":"Employing a machine learning boosting classifiers based stacking ensemble model for detecting non technical losses in smart grids","volume":"10","author":"Javaid","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.jenvman.2025.127128_bib34","doi-asserted-by":"crossref","DOI":"10.1016\/j.rineng.2024.102836","article-title":"Unravelling flood risk in the Rel River watershed, Gujarat using coupled earth observations, multi criteria decision making and Google Earth Engine","volume":"24","author":"Jodhani","year":"2024","journal-title":"Results Eng."},{"key":"10.1016\/j.jenvman.2025.127128_bib35","author":"Kaiser","year":"2025"},{"key":"10.1016\/j.jenvman.2025.127128_bib36","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2025.103429","article-title":"A novel explainable stacking ensemble model for estimating design floods: a data-driven approach for ungauged regions","volume":"66","author":"Kanani-Sadat","year":"2025","journal-title":"Adv. Eng. Inform."},{"issue":"1","key":"10.1016\/j.jenvman.2025.127128_bib37","article-title":"DeepFire: a novel dataset and deep transfer learning benchmark for forest fire detection","volume":"2022","author":"Khan","year":"2022","journal-title":"Mob. Inf. Syst."},{"issue":"3","key":"10.1016\/j.jenvman.2025.127128_bib38","doi-asserted-by":"crossref","first-page":"54","DOI":"10.3390\/hydrology12030054","article-title":"Evaluation of the soil conservation service curve number (SCS-CN) method for flash flood runoff estimation in arid regions: a case Study of central Eastern desert, Egypt","volume":"12","author":"Khattab","year":"2025","journal-title":"Hydrology"},{"key":"10.1016\/j.jenvman.2025.127128_bib39","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.jhydrol.2019.03.073","article-title":"A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods","volume":"573","author":"Khosravi","year":"2019","journal-title":"J. Hydrol."},{"key":"10.1016\/j.jenvman.2025.127128_bib40","article-title":"An interpretable hybrid deep learning model for flood forecasting based on Transformer and LSTM","volume":"54","author":"Li","year":"2024","journal-title":"J. Hydrol.: Reg. Stud."},{"issue":"1","key":"10.1016\/j.jenvman.2025.127128_bib41","doi-asserted-by":"crossref","DOI":"10.1080\/10106049.2025.2461531","article-title":"Flood susceptibility mapping in the Yom River Basin, Thailand: stacking ensemble learning using multi-year flood inventory data","volume":"40","author":"Long","year":"2025","journal-title":"Geocarto Int."},{"key":"10.1016\/j.jenvman.2025.127128_bib42","first-page":"1","article-title":"Application of ensemble fuzzy weights of evidence-support vector machine (Fuzzy WofE-SVM) for urban flood modeling and coupled risk (CR) index for ward prioritization in NCT Delhi, India","author":"Majid","year":"2024","journal-title":"Environ. Dev. Sustain."},{"key":"10.1016\/j.jenvman.2025.127128_bib44","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/s12145-020-00530-0","article-title":"Flood susceptibility assessment using extreme gradient boosting (EGB), Iran","volume":"14","author":"Mirzaei","year":"2021","journal-title":"Earth Science Informatics"},{"issue":"5","key":"10.1016\/j.jenvman.2025.127128_bib45","doi-asserted-by":"crossref","first-page":"11101","DOI":"10.1007\/s10668-023-03225-w","article-title":"A bibliometric analysis of sustainable development goals (SDGs): a review of progress, challenges, and opportunities","volume":"26","author":"Mishra","year":"2024","journal-title":"Environ. Dev. Sustain."},{"key":"10.1016\/j.jenvman.2025.127128_bib46","article-title":"Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory","volume":"590","author":"Nachappa","year":"2020","journal-title":"J. Hydrol."},{"key":"10.1016\/j.jenvman.2025.127128_bib47","series-title":"Global Conference on Communications and Information Technologies (GCCIT)","first-page":"1","article-title":"Ingenious K nearest neighbor based systematic prediction of early floods in uncertain weather forecasts","author":"Navya","year":"2024"},{"issue":"5","key":"10.1016\/j.jenvman.2025.127128_bib48","doi-asserted-by":"crossref","first-page":"854","DOI":"10.3390\/rs17050854","article-title":"Optimizing stacked ensemble machine learning models for accurate wildfire severity mapping","volume":"17","author":"Nguyen Van","year":"2025","journal-title":"Remote Sens."},{"issue":"2","key":"10.1016\/j.jenvman.2025.127128_bib49","doi-asserted-by":"crossref","first-page":"35","DOI":"10.3390\/hydrology12020035","article-title":"Flood modelling of the Zhabay River basin under climate change conditions","volume":"12","author":"Nurbatsina","year":"2025","journal-title":"Hydrology"},{"issue":"2","key":"10.1016\/j.jenvman.2025.127128_bib50","doi-asserted-by":"crossref","DOI":"10.1111\/jfr3.70042","article-title":"Analysis of the utilization of machine learning to map flood susceptibility","volume":"18","author":"Pourzangbar","year":"2025","journal-title":"Journal of Flood Risk Management"},{"key":"10.1016\/j.jenvman.2025.127128_bib52","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2023.162285","article-title":"Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery","volume":"873","author":"Razavi-Termeh","year":"2023","journal-title":"Sci. Total Environ."},{"issue":"1","key":"10.1016\/j.jenvman.2025.127128_bib53","doi-asserted-by":"crossref","DOI":"10.1063\/5.0186079","article-title":"Management of a typical experiment in engineering and science","volume":"2864","author":"Risan","year":"2024","journal-title":"AIP Conf. Proc."},{"key":"10.1016\/j.jenvman.2025.127128_bib57","doi-asserted-by":"crossref","DOI":"10.1016\/j.jenvman.2025.125477","article-title":"Multivariate indicator-based flood hazard mapping using primary drivers of coastal flood for India","volume":"383","author":"Singh","year":"2025","journal-title":"J. Environ. Manag."},{"issue":"35","key":"10.1016\/j.jenvman.2025.127128_bib58","doi-asserted-by":"crossref","first-page":"48497","DOI":"10.1007\/s11356-024-34286-7","article-title":"Integrating machine learning and geospatial data analysis for comprehensive flood hazard assessment","volume":"31","author":"Singha","year":"2024","journal-title":"Environ. Sci. Pollut. Control Ser."},{"key":"10.1016\/j.jenvman.2025.127128_bib59","doi-asserted-by":"crossref","DOI":"10.1016\/j.jenvman.2025.124972","article-title":"Advancing flood risk assessment: multitemporal SAR-based flood inventory generation using transfer learning and hybrid fuzzy-AHP-machine learning for flood susceptibility mapping in the Mahananda River Basin","volume":"380","author":"Singha","year":"2025","journal-title":"J. Environ. Manag."},{"issue":"4","key":"10.1016\/j.jenvman.2025.127128_bib60","first-page":"526","article-title":"Impacts of climate change and land cover factor on runoff in the Coastal Chinese Mainland region","volume":"5","author":"Song","year":"2024","journal-title":"Geogr. Sustain."},{"key":"10.1016\/j.jenvman.2025.127128_bib61","doi-asserted-by":"crossref","DOI":"10.1016\/j.jenvman.2025.124836","article-title":"Enhanced large-scale flood mapping using data-efficient unsupervised framework based on morphological active contour model and single synthetic aperture radar image","volume":"380","author":"Soudagar","year":"2025","journal-title":"J. Environ. Manag."},{"issue":"3","key":"10.1016\/j.jenvman.2025.127128_bib62","doi-asserted-by":"crossref","first-page":"345","DOI":"10.3390\/w17030345","article-title":"Integrating hydrological models for improved flash flood risk assessment and mitigation strategies in Northeastern Thailand","volume":"17","author":"Suwannachai","year":"2025","journal-title":"Water"},{"key":"10.1016\/j.jenvman.2025.127128_bib63","article-title":"Identification of the key driving factors of flash flood based on different feature selection techniques coupled with random forest method","volume":"51","author":"Tan","year":"2024","journal-title":"J. Hydrol.: Reg. Stud."},{"key":"10.1016\/j.jenvman.2025.127128_bib64","doi-asserted-by":"crossref","DOI":"10.1016\/j.jenvman.2024.123094","article-title":"Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan","volume":"371","author":"Tayyab","year":"2024","journal-title":"J. Environ. Manag."},{"issue":"9","key":"10.1016\/j.jenvman.2025.127128_bib65","doi-asserted-by":"crossref","first-page":"1754","DOI":"10.3390\/electronics14091754","article-title":"Big data-driven distributed machine learning for scalable credit card fraud detection using PySpark, XGBoost, and CatBoost","volume":"14","author":"Theodorakopoulos","year":"2025","journal-title":"Electronics"},{"key":"10.1016\/j.jenvman.2025.127128_bib66","first-page":"1","article-title":"Assessing flood susceptibility in Hanoi using machine learning and remote sensing: implications for urban health and resilience","author":"Van Pham","year":"2025","journal-title":"Nat. Hazards"},{"issue":"6","key":"10.1016\/j.jenvman.2025.127128_bib67","doi-asserted-by":"crossref","DOI":"10.1002\/hyp.15212","article-title":"Flood hazard mapping using GIS\u2010based AHP approach for Krishna River basin","volume":"38","author":"Vashist","year":"2024","journal-title":"Hydrol. Process."},{"issue":"4","key":"10.1016\/j.jenvman.2025.127128_bib68","doi-asserted-by":"crossref","first-page":"1607","DOI":"10.1007\/s13347-021-00477-0","article-title":"Transparency and the black box problem: why we do not trust AI","volume":"34","author":"Von Eschenbach","year":"2021","journal-title":"Philosophy & Technology"},{"issue":"1","key":"10.1016\/j.jenvman.2025.127128_bib69","doi-asserted-by":"crossref","DOI":"10.1111\/jfr3.13047","article-title":"Advancing flood susceptibility prediction: a comparative assessment and scalability analysis of machine learning algorithms via artificial intelligence in high\u2010risk regions of Pakistan","volume":"18","author":"Waleed","year":"2025","journal-title":"Journal of Flood Risk Management"},{"key":"10.1016\/j.jenvman.2025.127128_bib70","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.123074","article-title":"A fast interpretable adaptive meta-learning enhanced deep learning framework for diagnosis of diabetic retinopathy","volume":"244","author":"Wang","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.jenvman.2025.127128_bib71","series-title":"New Approaches for Multidimensional Signal Processing: Proceedings of International Workshop, NAMSP 2021","first-page":"125","article-title":"Meta-learning with logistic regression for multi-classification","author":"Wang","year":"2022"},{"key":"10.1016\/j.jenvman.2025.127128_bib72","series-title":"2024 International Conference on Emerging Smart Computing and Informatics (ESCI)","first-page":"1","article-title":"A meta-learner-integrated stacking voting ensemble network for cervical malignancy classification","author":"Wankhade","year":"2024"},{"key":"10.1016\/j.jenvman.2025.127128_bib75","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2024.122162","article-title":"Large-scale flood modeling and forecasting with FloodCast","volume":"264","author":"Xu","year":"2024","journal-title":"Water Res."},{"issue":"8","key":"10.1016\/j.jenvman.2025.127128_bib76","doi-asserted-by":"crossref","first-page":"1513","DOI":"10.1007\/s11442-024-2259-2","article-title":"Advancing flood susceptibility modeling using stacking ensemble machine learning: a multi-model approach","volume":"34","author":"Yang","year":"2024","journal-title":"J. Geogr. Sci."},{"issue":"4","key":"10.1016\/j.jenvman.2025.127128_bib82","doi-asserted-by":"crossref","first-page":"557","DOI":"10.2166\/nh.2023.139","article-title":"Flash flood susceptibility mapping based on catchments using an improved Blending machine learning approach","volume":"54","author":"Yin","year":"2023","journal-title":"Hydrol. Res."},{"issue":"1","key":"10.1016\/j.jenvman.2025.127128_bib77","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-024-72588-5","article-title":"Enhancing deep learning-based slope stability classification using a novel metaheuristic optimization algorithm for feature selection","volume":"14","author":"Zerouali","year":"2024","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jenvman.2025.127128_bib78","doi-asserted-by":"crossref","DOI":"10.1016\/j.foreco.2025.122931","article-title":"Advanced forest fire risk mapping: combining Sentinel-2 MSI data with hybrid machine learning in Similipal Biosphere Reserve","volume":"594","author":"Zerouali","year":"2025","journal-title":"For. Ecol. Manag."},{"issue":"1","key":"10.1016\/j.jenvman.2025.127128_bib79","article-title":"Machine learning and SHAP-based susceptibility assessment of storm flood in rapidly urbanizing areas: a case study of Shenzhen, China","volume":"15","author":"Zhao","year":"2024","journal-title":"Geomat. Nat. Hazards Risk"}],"container-title":["Journal of Environmental Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0301479725031044?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0301479725031044?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T17:36:51Z","timestamp":1772818611000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0301479725031044"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":70,"alternative-id":["S0301479725031044"],"URL":"https:\/\/doi.org\/10.1016\/j.jenvman.2025.127128","relation":{},"ISSN":["0301-4797"],"issn-type":[{"value":"0301-4797","type":"print"}],"subject":[],"published":{"date-parts":[[2025,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Flood susceptibility mapping in arid urban areas using SHAP-enhanced stacked ensemble learning: A case study of Jeddah","name":"articletitle","label":"Article Title"},{"value":"Journal of Environmental Management","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jenvman.2025.127128","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"127128"}}