{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T07:32:12Z","timestamp":1774078332505,"version":"3.50.1"},"reference-count":96,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T00:00:00Z","timestamp":1770422400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003968","name":"Iran National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003968","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Ecological Informatics"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1016\/j.ecoinf.2026.103653","type":"journal-article","created":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T16:49:12Z","timestamp":1770914952000},"page":"103653","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Evaluating key environmental variables in dust occurrence through artificial intelligence methods"],"prefix":"10.1016","volume":"94","author":[{"given":"Mohammad Mahdi","family":"Pourhanifeh","sequence":"first","affiliation":[]},{"given":"Hassan","family":"Khosravi","sequence":"additional","affiliation":[]},{"given":"Tayebeh","family":"Mesbah Zadeh","sequence":"additional","affiliation":[]},{"given":"Esmaeil","family":"Heydari Alamdarloo","sequence":"additional","affiliation":[]},{"given":"Azam","family":"Abolhasani","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ecoinf.2026.103653_bb0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.aeolia.2025.100961","article-title":"Influences of soil moisture and vegetation cover on dust emission using satellite observations","volume":"72","author":"AlNasser","year":"2025","journal-title":"Aeolian Res."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0010","doi-asserted-by":"crossref","first-page":"67","DOI":"10.3390\/jsan12050067","article-title":"Recursive feature elimination with cross-validation with decision tree: feature selection method for machine learning-based intrusion detection systems","volume":"12","author":"Awad","year":"2023","journal-title":"J. Sens. Actuator Networks"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0015","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.jaridenv.2012.08.004","article-title":"Land use and climate control the spatial distribution of soil types in the grasslands of Inner Mongolia","volume":"88","author":"Barthold","year":"2013","journal-title":"J. Arid Environ."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2020.101059","article-title":"Application of remote sensing techniques and machine learning algorithms in dust source detection and dust source susceptibility mapping","volume":"56","author":"Boroughani","year":"2020","journal-title":"Ecol. Inform."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0025","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0030","doi-asserted-by":"crossref","first-page":"2815","DOI":"10.5194\/nhess-13-2815-2013","article-title":"Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues","volume":"13","author":"Catani","year":"2013","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0035","doi-asserted-by":"crossref","first-page":"914","DOI":"10.1016\/j.asoc.2018.09.029","article-title":"Application of eXtreme gradient boosting trees in the construction of credit risk assessment models for financial institutions","volume":"73","author":"Chang","year":"2018","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0040","series-title":"XGBoost: A Scalable Tree Boosting System, in: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD \u201816","first-page":"785","author":"Chen","year":"2016"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0045","doi-asserted-by":"crossref","first-page":"4637","DOI":"10.5194\/acp-20-4637-2020","article-title":"Stratocumulus cloud clearings: statistics from satellites, reanalysis models, and airborne measurements","volume":"20","author":"Dadashazar","year":"2020","journal-title":"Atmos. Chem. Phys."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.catena.2021.105795","article-title":"Dust source susceptibility mapping in Tigris and Euphrates basin using remotely sensed imagery","volume":"209","author":"Darvishi Boloorani","year":"2022","journal-title":"Catena"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0055","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.proeng.2012.01.1193","article-title":"Remote sensing techniques for salt affected soil mapping: application to the Oran region of Algeria","volume":"33","author":"Dehni","year":"2012","journal-title":"Procedia Eng."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0060","doi-asserted-by":"crossref","first-page":"993","DOI":"10.2136\/sssaj2019.01.0018","article-title":"Application of satellite remote sensing for estimation of dust emission probability in the Urmia Lake Basin in Iran","volume":"83","author":"Effati","year":"2019","journal-title":"Soil Sci. Soc. Am. J."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2021.101224","article-title":"An evaluation of feature selection methods for environmental data","volume":"61","author":"Effrosynidis","year":"2021","journal-title":"Ecol. Inform."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0070","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2023.102368","article-title":"Waterless wetlands, as a new source of wind erosion: developing remediation strategies for the Hamoon wetland in Iran","volume":"78","author":"Erfani Nasab","year":"2023","journal-title":"Ecol. Inform."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0075","series-title":"Sand and Dust Storms in Asia and the Pacific: Opportunities for Regional Cooperation and Action","author":"ESCAP","year":"2018"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0080","doi-asserted-by":"crossref","first-page":"1359","DOI":"10.1007\/s12665-009-0123-4","article-title":"Correlation analysis between sand-dust events and meteorological factors in Shapotou, Northern China","volume":"59","author":"Fengmei","year":"2010","journal-title":"Environ. Earth Sci."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0085","doi-asserted-by":"crossref","DOI":"10.1214\/aos\/1013203451","article-title":"Greedy function approximation: a gradient boosting machine","volume":"29","author":"Friedman","year":"2001","journal-title":"Ann. Stat."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0090","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0034-4257(96)00067-3","article-title":"NDWI\u2014A normalized difference water index for remote sensing of vegetation liquid water from space","volume":"58","author":"Gao","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0095","doi-asserted-by":"crossref","first-page":"7038","DOI":"10.1080\/01431161.2013.813655","article-title":"Monitoring intense dust storms over the Indian region using satellite data - a case study","volume":"34","author":"Gharai","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0100","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2024.102560","article-title":"Analysis of spatiotemporal variations of drought and soil salinity via integrated multiscale and remote sensing-based techniques (case study: Urmia Lake basin)","volume":"81","author":"Ghasempour","year":"2024","journal-title":"Ecol. Inform."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.atmosres.2019.104716","article-title":"Spatial mapping of the provenance of storm dust: application of data mining and ensemble modelling","volume":"233","author":"Gholami","year":"2020","journal-title":"Atmos. Res."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0110","doi-asserted-by":"crossref","first-page":"1303","DOI":"10.1016\/j.apr.2020.05.009","article-title":"Machine-learning algorithms for predicting land susceptibility to dust emissions: the case of the Jazmurian Basin, Iran","volume":"11","author":"Gholami","year":"2020","journal-title":"Atmos. Pollut. Res."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0115","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.jenvman.2008.07.007","article-title":"Dust storms: recent developments","volume":"90","author":"Goudie","year":"2009","journal-title":"J. Environ. Manage."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0120","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.envint.2013.10.011","article-title":"Desert dust and human health disorders","volume":"63","author":"Goudie","year":"2014","journal-title":"Environ. Int."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0125","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"Guyon","year":"2003","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0130","series-title":"Monitoring Vegetation Systems in the Great Plains with Erts","first-page":"309","author":"Rouse Jr.","year":"1974"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0135","doi-asserted-by":"crossref","DOI":"10.3390\/rs14092145","article-title":"Analyses of a lake dust source in the Middle East through models performance","author":"Hamzeh","year":"2022","journal-title":"Remote Sens."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0140","first-page":"153","article-title":"Climate change implications and use of early warning systems for global dust storms. Reducing disaster early warn","volume":"9789401785","author":"Harriman","year":"2013","journal-title":"Syst. Clim. Chang."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0145","series-title":"Machine learning in action","author":"Harrington","year":"2012"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0150","doi-asserted-by":"crossref","first-page":"5461","DOI":"10.1007\/s00521-019-04644-5","article-title":"Application and comparison of several machine learning algorithms and their integration models in regression problems","volume":"32","author":"Huang","year":"2020","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0155","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/0034-4257(94)90018-3","article-title":"Development of vegetation and soil indices for MODIS-EOS","volume":"49","author":"Huete","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2022.101872","article-title":"Dust source susceptibility mapping based on remote sensing and machine learning techniques","volume":"72","author":"Jafari","year":"2022","journal-title":"Ecol. Inform."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0170","doi-asserted-by":"crossref","first-page":"1040","DOI":"10.1016\/j.solener.2021.04.015","article-title":"Dust potency in the context of solar photovoltaic (PV) soiling loss","volume":"220","author":"Javed","year":"2021","journal-title":"Sol. Energy"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0175","doi-asserted-by":"crossref","DOI":"10.1016\/j.jtrangeo.2022.103414","article-title":"Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: a non-linear and interaction effect analysis","volume":"103","author":"Ji","year":"2022","journal-title":"J. Transp. Geogr."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0180","doi-asserted-by":"crossref","first-page":"5277","DOI":"10.1080\/01431161.2021.1912433","article-title":"Next-generation remote sensing and prediction of sand and dust storms: state-of-the-art and future trends","volume":"42","author":"Jiao","year":"2021","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0185","doi-asserted-by":"crossref","DOI":"10.1051\/e3sconf\/202457501013","article-title":"The soil properties of dust source of South-Eastern Ahvaz, Iran","volume":"575","author":"Khaksarian","year":"2024","journal-title":"E3S Web Conf."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0190","first-page":"55","article-title":"Identification of active dust source areas using field and remote sensing methods for determining wind Erosion threshold velocity (case study: eastern Kerman Province) [in Persian]. Iran","volume":"21","author":"Kharazmi","year":"2023","journal-title":"J. For. Range Prot. Res."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0195","doi-asserted-by":"crossref","first-page":"2789","DOI":"10.1002\/2015GL063325","article-title":"Impact of soil moisture on dust outbreaks in East Asia: using satellite and assimilation data","volume":"42","author":"Kim","year":"2015","journal-title":"Geophys. Res. Lett."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0200","doi-asserted-by":"crossref","first-page":"77","DOI":"10.2151\/sola.2012-020","article-title":"Effect of the Strong wind and land cover in dust source regions on the Asian dust event over Japan from 2000 to 2011","volume":"8","author":"Kimura","year":"2012","journal-title":"Sola"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0205","series-title":"Applied predictive Modeling","author":"Kuhn","year":"2013"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0210","doi-asserted-by":"crossref","DOI":"10.1029\/2020GL090347","article-title":"Dust impacts of rapid agricultural expansion on the Great Plains","volume":"47","author":"Lambert","year":"2020","journal-title":"Geophys. Res. Lett."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0215","doi-asserted-by":"crossref","first-page":"3629","DOI":"10.5194\/acp-23-3629-2023","article-title":"Modelling the European wind-blown dust emissions and their impact on particulate matter (PM) concentrations","volume":"23","author":"Liaskoni","year":"2023","journal-title":"Atmos. Chem. Phys."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0220","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2020.138676","article-title":"Characteristics of aerosol optical depth over land types in Central Asia","volume":"727","author":"Liu","year":"2020","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0225","series-title":"Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4\u20139, 2017","article-title":"A Unified Approach to Interpreting Model Predictions","author":"Lundberg","year":"2017"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0230","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1007\/s10098-019-01709-w","article-title":"Air pollution prediction by using an artificial neural network model","volume":"21","author":"Maleki","year":"2019","journal-title":"Clean Techn. Environ. Policy"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0235","doi-asserted-by":"crossref","first-page":"2192","DOI":"10.1080\/09640568.2020.1862770","article-title":"A method to select sites for sand and dust storm source mitigation: case study in the Sistan region of Southeast Iran","volume":"64","author":"Maleki","year":"2021","journal-title":"J. Environ. Plan. Manag."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0240","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1111\/j.1472-4642.2008.00491.x","article-title":"Evaluation of consensus methods in predictive species distribution modelling","volume":"15","author":"Marmion","year":"2009","journal-title":"Divers. Distrib."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0245","doi-asserted-by":"crossref","first-page":"209","DOI":"10.2307\/1776729","article-title":"Recent survey and exploration in Seistan","volume":"28","author":"McMahon","year":"1906","journal-title":"Geogr. J."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0250","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1002\/joc.3370060207","article-title":"A geography of dust storms in south-West Asia","volume":"6","author":"Middleton","year":"1986","journal-title":"J. Climatol."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0255","doi-asserted-by":"crossref","DOI":"10.1088\/2976-601X\/ad63ac","article-title":"Impacts of sand and dust storms on food production","volume":"1","author":"Middleton","year":"2024","journal-title":"Environ. Res. Food Syst."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0260","doi-asserted-by":"crossref","DOI":"10.3390\/su9061053","article-title":"Sand and dust storms: impact mitigation","author":"Middleton","year":"2017","journal-title":"Sustainability"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0265","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2020.143952","article-title":"An investigation into climatic and terrestrial drivers of dust storms in the Sistan region of Iran in the early twenty-first century","volume":"757","author":"Miri","year":"2021","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0270","first-page":"1","article-title":"Spatial and temporal variability of aerosol indices over East Khorasan, Iran based on satellite observation","volume":"6","author":"Miri","year":"2017","journal-title":"J. Geogr. Environ. Hazards"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0275","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.maturitas.2014.04.017","article-title":"Chondrocyte and mesenchymal stem cell-based therapies for cartilage repair in osteoarthritis and related orthopaedic conditions","volume":"78","author":"Mobasheri","year":"2014","journal-title":"Maturitas"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0280","first-page":"71","article-title":"Predicting Pan evaporation in a hyper-arid climate using soft computing models: a case study of Sistan plain, Sistan-Baluchistan, Iran","volume":"11","author":"Mohammadi","year":"2022","journal-title":"Desert Ecosyst. Eng."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0285","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.atmosenv.2017.11.016","article-title":"Impacts of climate and synoptic fluctuations on dust storm activity over the Middle East","volume":"173","author":"Namdari","year":"2018","journal-title":"Atmos. Environ."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0290","doi-asserted-by":"crossref","first-page":"45450","DOI":"10.1007\/s11356-021-13922-6","article-title":"Analysis of some factors related to dust storms occurrence in the Sistan region","volume":"28","author":"Namdari","year":"2021","journal-title":"Environ. Sci. Pollut. Res."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0295","doi-asserted-by":"crossref","first-page":"2963","DOI":"10.3390\/rs14132963","article-title":"Time series of remote sensing data for interaction analysis of the vegetation coverage and dust activity in the Middle East","volume":"14","author":"Namdari","year":"2022","journal-title":"Remote Sens."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0300","first-page":"284","article-title":"The effect of climate change on the habitat distribution of Platychaete aucheri. Boiss species in Sistan and Baluchestan province based on climate prediction model [in Persian], Iran","volume":"31","author":"Narouei","year":"2024","journal-title":"J. Range Desert Res."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0305","first-page":"43","article-title":"Investigating the effect of vegetation on the occurrence of dust phenomenon (case study: Hormozgan Province)","volume":"12","author":"Nateghi","year":"2022","journal-title":"E.E.R. J."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0310","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.aeolia.2013.10.004","article-title":"The dust storm index (DSI): a method for monitoring broadscale wind erosion using meteorological records","volume":"12","author":"O\u2019Loingsigh","year":"2013","journal-title":"Aeolian Res."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0315","doi-asserted-by":"crossref","DOI":"10.3390\/jrfm14070326","article-title":"Causes and effects of sand and dust storms: what has past research taught us? A survey","author":"Opp","year":"2021","journal-title":"J. Risk Financial Manag."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0320","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2022.101867","article-title":"Knowledge discovery of Middle East dust sources using Apriori spatial data mining algorithm","volume":"72","author":"Papi","year":"2022","journal-title":"Ecol. Inform."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0325","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1016\/j.scitotenv.2017.07.198","article-title":"Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling","volume":"609","author":"Pourghasemi","year":"2017","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0330","series-title":"Statistical methods for categorical data analysis","article-title":"Statistical Methods for Categorical Data Analysis","author":"Powers","year":"2008"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0335","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2000RG000095","article-title":"Environmental characterization of global sources of atmospheric soil dust identified with the NIMBUS 7 Total ozone mapping spectrometer (TOMS) absorbing aerosol product","volume":"40","author":"Prospero","year":"2002","journal-title":"Rev. Geophys."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0340","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/0034-4257(94)90134-1","article-title":"A modified soil adjusted vegetation index","volume":"48","author":"Qi","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0345","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2020.139508","article-title":"Identifying sources of dust aerosol using a new framework based on remote sensing and modelling","volume":"737","author":"Rahmati","year":"2020","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0350","doi-asserted-by":"crossref","first-page":"4033","DOI":"10.1016\/S1352-2310(03)00536-3","article-title":"New directions: atmospheric brown \u201cclouds\u201d","volume":"37","author":"Ramanathan","year":"2003","journal-title":"Atmos. Environ."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0355","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1007\/s11069-013-0927-0","article-title":"Spatio-temporal variability of dust aerosols over the Sistan region in Iran based on satellite observations","volume":"71","author":"Rashki","year":"2014","journal-title":"Nat. Hazards"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0360","doi-asserted-by":"crossref","DOI":"10.1016\/j.aeolia.2020.100655","article-title":"Dust storms in Iran \u2013 distribution, causes, frequencies and impacts","volume":"48","author":"Rashki","year":"2021","journal-title":"Aeolian Res."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0365","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecolind.2020.106099","article-title":"Sand and dust storm sources identification: a remote sensing approach","volume":"112","author":"Rayegani","year":"2020","journal-title":"Ecol. Indic."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0370","doi-asserted-by":"crossref","DOI":"10.1016\/j.atmosres.2020.104947","article-title":"Transport routes and potential source regions of the middle eastern dust over Ahvaz during 2005-2017","volume":"241","author":"Salmabadi","year":"2020","journal-title":"Atmos. Res."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0375","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1007\/s12665-019-8508-5","article-title":"In situ field measurement of wind erosion and threshold velocity in relation to soil properties in arid and semiarid environments","volume":"78","author":"Shahabinejad","year":"2019","journal-title":"Environ. Earth Sci."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0380","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1051\/animres:2000134","article-title":"Sources of shared variability among body shape characters at marketing age in New Zealand white and egyptian rabbit breeds","volume":"49","author":"Shahin","year":"2000","journal-title":"Ann. Zootech."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0385","series-title":"Contributions to the Theory of Games (AM-28)","first-page":"307","article-title":"17. A value for n-person games","volume":"II","author":"Shapley","year":"1953"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0390","doi-asserted-by":"crossref","DOI":"10.1155\/2012\/956814","article-title":"Impact of two intense dust storms on aerosol characteristics and radiative forcing over Patiala, Northwestern India","volume":"2012","author":"Sharma","year":"2012","journal-title":"Adv. Meteorol."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0395","series-title":"Transboundary water resources in Afghanistan","author":"Shroder","year":"2016"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0400","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/0033-5894(74)90062-3","article-title":"Quaternary deposits in southwestern Afghanistan","volume":"4","author":"Smith","year":"1974","journal-title":"Quatern. Res."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0405","first-page":"17","article-title":"Modeling and prediction of dust in Western Iran","volume":"52","author":"Sobhani","year":"2020","journal-title":"Phys. Geogr. Res. Q."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0410","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1016\/j.atmosenv.2017.08.051","article-title":"Simulation and evaluation of dust emissions with WRF-chem (v3.7.1) and its relationship to the changing climate over East Asia from 1980 to 2015","volume":"167","author":"Song","year":"2017","journal-title":"Atmos. Environ."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0415","series-title":"Statistical Yearbook of Sistan and Baluchestan Province","author":"Statistical Center of Iran","year":"2022"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0420","first-page":"3603","article-title":"Investigation of the effect of natural windbreaks on flowing sandy soils and determining the type of optimal windbreak using the method (DBA) (case study of Sistan and Baluchestan province)","volume":"54","author":"Taghavi Parsa","year":"2022","journal-title":"Amirkabir J. Civ. Eng."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0425","doi-asserted-by":"crossref","DOI":"10.1016\/j.atmosenv.2021.118348","article-title":"Impacts of climate and land cover variability and trends on springtime east Asian dust emission over 1982\u20132010: a modeling study","volume":"254","author":"Tai","year":"2021","journal-title":"Atmos. Environ."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0430","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1007\/s11442-016-1275-2","article-title":"Exploring the relationship between vegetation and dust-storm intensity (DSI) in China","volume":"26","author":"Tan","year":"2016","journal-title":"J. Geogr. Sci."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0435","doi-asserted-by":"crossref","first-page":"1223","DOI":"10.1007\/s10479-022-04575-w","article-title":"Comprehensive review on twin support vector machines","volume":"339","author":"Tanveer","year":"2024","journal-title":"Ann. Oper. Res."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0440","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2021.101292","article-title":"Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm","volume":"63","author":"Tuyen","year":"2021","journal-title":"Ecol. Inform."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0445","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2024.102601","article-title":"Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: a novel approach through qualitative and quantitative feature selection with explainable AI","volume":"81","author":"Van","year":"2024","journal-title":"Ecol. Inform."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0450","doi-asserted-by":"crossref","DOI":"10.1029\/2006GL025827","article-title":"Links between topography, wind, deflation, lakes and dust: the case of the Bod\u00e9l\u00e9 depression, Chad","volume":"33","author":"Washington","year":"2006","journal-title":"Geophys. Res. Lett."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0455","doi-asserted-by":"crossref","DOI":"10.3133\/sir20065182","article-title":"Geology, water, and wind in the lower Helmand Basin, southern Afghanistan","author":"Whitney","year":"2006","journal-title":"Scientific Invest. Rep."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0460","series-title":"WMO airborne dust bulletin no. 8 \u2013 July 2024","author":"World Meteorological Organization","year":"2024"},{"key":"10.1016\/j.ecoinf.2026.103653_bb0465","doi-asserted-by":"crossref","first-page":"1313","DOI":"10.3390\/rs17071313","article-title":"Decadal trends and drivers of dust emissions in East Asia: integrating statistical and SHAP-based interpretability approaches","volume":"17","author":"Yi","year":"2025","journal-title":"Remote Sens."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0470","doi-asserted-by":"crossref","DOI":"10.1038\/srep15833","article-title":"Influence of dust and mud on the optical, chemical, and mechanical properties of a pv protective glass","volume":"5","author":"Yilbas","year":"2015","journal-title":"Sci. Rep."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0475","doi-asserted-by":"crossref","first-page":"4585","DOI":"10.1080\/01431161.2013.779046","article-title":"VSDI: a visible and shortwave infrared drought index for monitoring soil and vegetation moisture based on optical remote sensing","volume":"34","author":"Zhang","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0480","doi-asserted-by":"crossref","first-page":"1621","DOI":"10.3390\/app9081621","article-title":"Random forests and cubist algorithms for predicting shear strengths of rockfill materials","volume":"9","author":"Zhou","year":"2019","journal-title":"Appl. Sci."},{"key":"10.1016\/j.ecoinf.2026.103653_bb0485","series-title":"2019 IEEE 7th international conference on computer science and network technology (ICCSNT)","first-page":"135","article-title":"Logistic regression model optimization and case analysis","author":"Zou","year":"2019"}],"container-title":["Ecological Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1574954126000592?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1574954126000592?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T04:32:17Z","timestamp":1774067537000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1574954126000592"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":96,"alternative-id":["S1574954126000592"],"URL":"https:\/\/doi.org\/10.1016\/j.ecoinf.2026.103653","relation":{},"ISSN":["1574-9541"],"issn-type":[{"value":"1574-9541","type":"print"}],"subject":[],"published":{"date-parts":[[2026,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Evaluating key environmental variables in dust occurrence through artificial intelligence methods","name":"articletitle","label":"Article Title"},{"value":"Ecological Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ecoinf.2026.103653","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"103653"}}