Khosravi, Khabat

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Khosravi, Khabat

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Postdoctoral Associate, Institute of Environment , College of Arts, Sciences & Education

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selected scholarly works & creative activities

Article
- 2023
  
  Prediction of embankments dam break peak outflow: a comparison between empirical equations and ensemble-based machine learning algorithms. NATURAL HAZARDS. 118:1989-2018.
  Full Text via DOI: 10.1007/s11069-023-06060-4 Web of Science: 001020731600001
- 2023
  
  Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models
  Full Text via DOI: 10.1016/j.pedsph.2022.06.056 Web of Science: 001012025200001
- 2023
  
  Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms. SCIENCE OF THE TOTAL ENVIRONMENT. 871.
  Full Text via DOI: 10.1016/j.scitotenv.2023.162066 Web of Science: 000992851500001
- 2023
  
  Soil water erosion susceptibility assessment using deep learning algorithms. JOURNAL OF HYDROLOGY. 618.
  Full Text via DOI: 10.1016/j.jhydrol.2023.129229 Web of Science: 000942641000001
- 2023
  
  Spatial variability of soil water erosion: Comparing empirical and intelligent techniques. GEOSCIENCE FRONTIERS. 14.
  Full Text via DOI: 10.1016/j.gsf.2022.101456 Web of Science: 000852681600001
- 2022
  
  Model identification and accuracy for estimation of suspended sediment load. GEOCARTO INTERNATIONAL. 37:18520-18545.
  Full Text via DOI: 10.1080/10106049.2022.2142964 Web of Science: 000888822900001
- 2022
  
  Suspended sediment load prediction using hybrid bagging-based heuristic search algorithm. GEOCARTO INTERNATIONAL. 37:17068-17095.
  Full Text via DOI: 10.1080/10106049.2022.2122590 Web of Science: 000854779800001
- 2022
  
  Snow water equivalent prediction in a mountainous area using hybrid bagging machine learning approaches
  Full Text via DOI: 10.1007/s11600-022-00934-0 Web of Science: 000873359300002
- 2022
  
  Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models
  Full Text via DOI: 10.3390/w14193011 Web of Science: 000867226500001
- 2022
  
  Suspended Sediment Modeling Using Sequential Minimal Optimization Regression and Isotonic Regression Algorithms Integrated with an Iterative Classifier Optimizer
  Full Text via DOI: 10.1007/s00024-022-03131-8 Web of Science: 000863199400001
- 2022
  
  Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions
  Full Text via DOI: 10.1016/j.pedsph.2022.06.009 Web of Science: 000855123900006
- 2022
  
  The use of hybrid machine learning models for improving the GALDIT model for coastal aquifer vulnerability mapping. ENVIRONMENTAL EARTH SCIENCES. 81.
  Full Text via DOI: 10.1007/s12665-022-10534-2 Web of Science: 000834820800001
- 2022
  
  Evaluation of deep machine learning-based models of soil cumulative infiltration. EARTH SCIENCE INFORMATICS. 15:1861-1877.
  Full Text via DOI: 10.1007/s12145-022-00830-7 Web of Science: 000824933200001
- 2022
  
  Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach. JOURNAL OF HYDROLOGY. 610.
  Full Text via DOI: 10.1016/j.jhydrol.2022.127963 Web of Science: 000922399900004
- 2022
  
  A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning. GEOCARTO INTERNATIONAL. 37:14065-14087.
  Full Text via DOI: 10.1080/10106049.2022.2086631 Web of Science: 000812114400001
- 2022
  
  Stacking ensemble-based hybrid algorithms for discharge computation in sharp-crested labyrinth weirs. SOFT COMPUTING. 26:12271-12290.
  Full Text via DOI: 10.1007/s00500-022-07073-0 Web of Science: 000782725600007
- 2022
  
  Intelligent flow discharge computation in a rectangular channel with free overfall condition. NEURAL COMPUTING & APPLICATIONS. 34:12601-12616.
  Full Text via DOI: 10.1007/s00521-022-07112-9 Web of Science: 000768660400016
- 2022
  
  Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms. WATER RESOURCES MANAGEMENT. 36:699-716.
  Full Text via DOI: 10.1007/s11269-021-03051-7 Web of Science: 000743454600005
- 2021
  
  Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea. JOURNAL OF ENVIRONMENTAL MANAGEMENT. 305.
  Full Text via DOI: 10.1016/j.jenvman.2021.114367 Web of Science: 000741843700001
- 2021
  
  Short-term River streamflow modeling using Ensemble-based additive learner approach
  Full Text via DOI: 10.1016/j.jher.2021.07.003 Web of Science: 000712539500003
- 2021
  
  Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms. ENVIRONMENTAL MODELLING & SOFTWARE. 144.
  Full Text via DOI: 10.1016/j.envsoft.2021.105165 Web of Science: 000696804100004
- 2021
  
  Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithms. OCEAN ENGINEERING. 238.
  Full Text via DOI: 10.1016/j.oceaneng.2021.109721 Web of Science: 000696788900003
- 2021
  
  A GIS-based groundwater pollution potential using DRASTIC, modified DRASTIC, and bivariate statistical models. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. 28:50525-50541.
  Full Text via DOI: 10.1007/s11356-021-13706-y Web of Science: 000648217800002
- 2021
  
  Improving daily stochastic stream flow prediction: comparison of novel hybrid data-mining algorithms. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES. 66:1457-1474.
  Full Text via DOI: 10.1080/02626667.2021.1928673 Web of Science: 000673162800001
- 2021
  
  Experimental Analysis of Incipient Motion for Uniform and Graded Sediments
  Full Text via DOI: 10.3390/w13131874 Web of Science: 000672019200001
- 2021
  
  Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer. JOURNAL OF CONTAMINANT HYDROLOGY. 242.
  Full Text via DOI: 10.1016/j.jconhyd.2021.103849 Web of Science: 000702805800004
- 2021
  
  Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran
  Full Text via DOI: 10.1016/j.ejrh.2021.100825 Web of Science: 000663478500001
- 2021
  
  Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling. JOURNAL OF HYDROLOGY. 598.
  Full Text via DOI: 10.1016/j.jhydrol.2021.126452 Web of Science: 000661813200180
- 2021
  
  A laboratory investigation of bed-load transport of gravel sediments under dam break flow. INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH. 36:229-234.
  Full Text via DOI: 10.1016/j.ijsrc.2020.08.005 Web of Science: 000596082500006
- 2021
  
  A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction. JOURNAL OF HYDROLOGY. 596.
  Full Text via DOI: 10.1016/j.jhydrol.2021.126100 Web of Science: 000642334400069
- 2021
  
  Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran. GEOSCIENCE FRONTIERS. 12:505-519.
  Full Text via DOI: 10.1016/j.gsf.2020.06.013 Web of Science: 000611950300002
- 2021
  
  Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. 28:11637-11649.
  Full Text via DOI: 10.1007/s11356-020-11335-5 Web of Science: 000585867500010
- 2021
  
  New hybrid-based approach for improving the accuracy of coastal aquifer vulnerability assessment maps. SCIENCE OF THE TOTAL ENVIRONMENT. 767.
  Full Text via DOI: 10.1016/j.scitotenv.2021.145416 Web of Science: 000617681100100
- 2021
  
  Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling. CATENA. 199.
  Full Text via DOI: 10.1016/j.catena.2020.105114 Web of Science: 000608022600029
- 2020
  
  Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran. JOURNAL OF HYDROLOGY. 591.
  Full Text via DOI: 10.1016/j.jhydrol.2020.125552 Web of Science: 000599757800067
- 2020
  
  Improving groundwater potential mapping using metaheuristic approaches. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES. 65:2729-2749.
  Full Text via DOI: 10.1080/02626667.2020.1828589 Web of Science: 000590098800001
- 2020
  
  A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 96.
  Full Text via DOI: 10.1016/j.engappai.2020.103971 Web of Science: 000582708400023
- 2020
  
  River Water Salinity Prediction Using Hybrid Machine Learning Models
  Full Text via DOI: 10.3390/w12102951 Web of Science: 000582896400001
- 2020
  
  Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES. 65:2116-2127.
  Full Text via DOI: 10.1080/02626667.2020.1754419 Web of Science: 000550079500001
- 2020
  
  Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners. GROUND WATER. 58:723-734.
  Full Text via DOI: 10.1111/gwat.12963 Web of Science: 000568988300007
- 2020
  
  Shear stress distribution prediction in symmetric compound channels using data mining and machine learning models
  Full Text via DOI: 10.1007/s11709-020-0634-3 Web of Science: 000601538800007
- 2020
  
  Improving prediction of water quality indices using novel hybrid machine -learning algorithms. SCIENCE OF THE TOTAL ENVIRONMENT. 721.
  Full Text via DOI: 10.1016/j.scitotenv.2020.137612 Web of Science: 000535469100010
- 2020
  
  Bedload transport rate prediction: Application of novel hybrid data mining techniques. JOURNAL OF HYDROLOGY. 585.
  Full Text via DOI: 10.1016/j.jhydrol.2020.124774 Web of Science: 000544230000037
- 2020
  
  Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM(+)Images
  Full Text via DOI: 10.3390/ijerph17124210 Web of Science: 000549566300001
- 2020
  
  Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithm. SCIENCE OF THE TOTAL ENVIRONMENT. 715.
  Full Text via DOI: 10.1016/j.scitotenv.2020.136836 Web of Science: 000518409900049
- 2020
  
  The Importance of Incorporating Denitrification in the Assessment of Groundwater Vulnerability
  Full Text via DOI: 10.3390/app10072328 Web of Science: 000533356200127
- 2020
  
  Uniform and graded bed-load sediment transport in a degrading channel with non-equilibrium conditions. INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH. 35:115-124.
  Full Text via DOI: 10.1016/j.ijsrc.2019.10.005 Web of Science: 000509221100001
- 2020
  
  River suspended sediment load prediction based on river discharge information: application of newly developed data mining models. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES. 65:624-637.
  Full Text via DOI: 10.1080/02626667.2019.1703186 Web of Science: 000508101800001
- 2020
  
  Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
  Full Text via DOI: 10.3390/rs12020266 Web of Science: 000515569800065
- 2019
  
  Experimental Investigation of Flash Flood Resulting from Dam-Break on Bed Sediment Transport
  Full Text via DOI: 10.29252/jwmr.10.20.120
- 2019
  
  Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq
  Full Text via DOI: 10.1016/j.compag.2019.105041 Web of Science: 000503314100009
- 2019
  
  A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling. GEOCARTO INTERNATIONAL. 34:1385-1407.
  Full Text via DOI: 10.1080/10106049.2018.1489422 Web of Science: 000491476200001
- 2019
  
  Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping. HYDROGEOLOGY JOURNAL. 27:2511-2534.
  Full Text via DOI: 10.1007/s10040-019-02017-9 Web of Science: 000502730500013
- 2019
  
  The potential of novel data mining models for global solar radiation prediction. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY. 16:7147-7164.
  Full Text via DOI: 10.1007/s13762-019-02344-0 Web of Science: 000489337200059
- 2019
  
  A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping
  Full Text via DOI: 10.3390/w11102013 Web of Science: 000495598400057
- 2019
  
  Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm. JOURNAL OF ENVIRONMENTAL MANAGEMENT. 247:712-729.
  Full Text via DOI: 10.1016/j.jenvman.2019.06.102 Web of Science: 000483635000072
- 2019
  
  Determination of compound channel apparent shear stress: application of novel data mining models. JOURNAL OF HYDROINFORMATICS. 21:798-811.
  Full Text via DOI: 10.2166/hydro.2019.037 Web of Science: 000492371700008
- 2019
  
  SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment
  Full Text via DOI: 10.3390/app9173495 Web of Science: 000488603600057
- 2019
  
  Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
  Full Text via DOI: 10.3390/app9183755 Web of Science: 000489115200115
- 2019
  
  Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model
  Full Text via DOI: 10.3390/rs11131589 Web of Science: 000477049000081
- 2019
  
  Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models
  Full Text via DOI: 10.3390/w11071402 Web of Science: 000480632300087
- 2019
  
  Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree. GEOCARTO INTERNATIONAL. 34:1177-1201.
  Full Text via DOI: 10.1080/10106049.2019.1588393 Web of Science: 000472260400001
- 2019
  
  A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods. JOURNAL OF HYDROLOGY. 573:311-323.
  Full Text via DOI: 10.1016/j.jhydrol.2019.03.073 Web of Science: 000474327800024
- 2019
  
  Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed, China. NATURAL HAZARDS. 97:579-609.
  Full Text via DOI: 10.1007/s11069-019-03659-4 Web of Science: 000482068400007
- 2019
  
  Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization. JOURNAL OF HYDROLOGY. 572:435-448.
  Full Text via DOI: 10.1016/j.jhydrol.2019.03.013 Web of Science: 000467891900035
- 2019
  
  Sinkhole susceptibility mapping: A comparison between Bayes-based machine learning algorithms. LAND DEGRADATION & DEVELOPMENT. 30:730-745.
  Full Text via DOI: 10.1002/ldr.3255 Web of Science: 000465039700002
- 2019
  
  Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan. SCIENCE OF THE TOTAL ENVIRONMENT. 662:332-346.
  Full Text via DOI: 10.1016/j.scitotenv.2019.01.221 Web of Science: 000459163900035
- 2019
  
  Coastal Wetland Mapping with Sentinel-2 MSI Imagery Based on Gravitational Optimized Multilayer Perceptron and Morphological Attribute Profiles
  Full Text via DOI: 10.3390/rs11080952 Web of Science: 000467646800062
- 2019
  
  Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm
  Full Text via DOI: 10.3390/rs11080931 Web of Science: 000467646800041
- 2019
  
  Landslide prediction capability by comparison of frequency ratio, fuzzy gamma and landslide index method
  Full Text via DOI: 10.1007/s12040-018-1047-8 Web of Science: 000458215100001
- 2018
  
  Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
  Full Text via DOI: 10.3390/app8122540 Web of Science: 000455145000208
- 2018
  
  Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile. JOURNAL OF HYDROLOGY. 567:165-179.
  Full Text via DOI: 10.1016/j.jhydrol.2018.10.015 Web of Science: 000454753900014
- 2018
  
  A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment. SCIENCE OF THE TOTAL ENVIRONMENT. 642:1032-1049.
  Full Text via DOI: 10.1016/j.scitotenv.2018.06.130 Web of Science: 000439405600101
- 2018
  
  Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping
  Full Text via DOI: 10.3390/s18113777 Web of Science: 000451598900187
- 2018
  
  Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods. SCIENTIFIC REPORTS. 8.
  Full Text via DOI: 10.1038/s41598-018-33755-7 Web of Science: 000447591000021
- 2018
  
  Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization. HYDROLOGY AND EARTH SYSTEM SCIENCES. 22:4771-4792.
  Full Text via DOI: 10.5194/hess-22-4771-2018 Web of Science: 000444421900001
- 2018
  
  New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
  Full Text via DOI: 10.3390/w10091210 Web of Science: 000448821900102
- 2018
  
  Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms
  Full Text via DOI: 10.3390/s18082464 Web of Science: 000445712400064
- 2018
  
  A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran. SCIENCE OF THE TOTAL ENVIRONMENT. 627:744-755.
  Full Text via DOI: 10.1016/j.scitotenv.2018.01.266 Web of Science: 000431848500072
- 2017
  
  A novel hybrid artificial intelligence approach for flood susceptibility assessment. ENVIRONMENTAL MODELLING & SOFTWARE. 95:229-245.
  Full Text via DOI: 10.1016/j.envsoft.2017.06.012 Web of Science: 000406177500018
- 2017
  
  Application and Comparison of Decision Tree-Based Machine Learning Methods in Landside Susceptibility Assessment at Pauri Garhwal Area, Uttarakhand, India. ENVIRONMENTAL PROCESSES-AN INTERNATIONAL JOURNAL. 4:711-730.
  Full Text via DOI: 10.1007/s40710-017-0248-5 Web of Science: 000414368400014
- 2016
  
  Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon's entropy, statistical index, and weighting factor models. ENVIRONMENTAL MONITORING AND ASSESSMENT. 188.
  Full Text via DOI: 10.1007/s10661-016-5665-9 Web of Science: 000388805000003
- 2016
  
  A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique. NATURAL HAZARDS. 83:947-987.
  Full Text via DOI: 10.1007/s11069-016-2357-2 Web of Science: 000380794200009
Book Chapter
- 2019
  
  Analysis and prediction of meteorological drought using SPI index and ARIMA model in the Karkheh River Basin, Iran. 343-353.
  Full Text via DOI: 10.1016/B978-0-12-815998-9.00026-9
- 2019
  
  Chapter 26 Analysis and prediction of meteorological drought using SPI index and ARIMA model in the Karkheh River Basin, Iran. 343-353.
  Full Text via DOI: 10.1016/b978-0-12-815998-9.00026-9
- 2019
  
  Chapter 31 Dam break analysis and flood inundation mapping: The case study of Sefid-Roud Dam, Iran. 395-405.
  Full Text via DOI: 10.1016/b978-0-12-815998-9.00031-2
- 2019
  
  Chapter 33 Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques. 419-434.
  Full Text via DOI: 10.1016/b978-0-12-815998-9.00033-6
- 2019
  
  Dam break analysis and flood inundation mapping: The case study of Sefid-Roud Dam, Iran. 395-405.
  Full Text via DOI: 10.1016/B978-0-12-815998-9.00031-2
- 2019
  
  Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques. 419-434.
  Full Text via DOI: 10.1016/B978-0-12-815998-9.00033-6
Conference
- 2019
  
  Difference in the bed load transport of graded and uniform sediments during floods: An experimental investigation. 1645-1664.
  Full Text via DOI: 10.2166/nh.2019.078 Web of Science: 000503261700014
Other Scholarly Work
- 2021
  
  Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran (vol 35, 100825, 2021)
  Full Text via DOI: 10.1016/j.ejrh.2021.100950 Web of Science: 000770947400001
- 2021
  
  Difference in the bed load transport of graded and uniform sediments during floods: An experimental investigation (vol 50, pg 1645, 2019). 1648-1648.
  Full Text via DOI: 10.2166/nh.2020.006 Web of Science: 000731401600029
- 2021
  
  Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods (vol 8, 15364, 2018). SCIENTIFIC REPORTS.
  Full Text via DOI: 10.1038/s41598-021-93957-4 Web of Science: 000687315200001
- 2021
  
  Syncing sustainable urban mobility with public transit policy trends based on global data analysis (vol 8, 15364, 2018). SCIENTIFIC REPORTS.
  Full Text via DOI: 10.1038/s41598-021-93741-4 Web of Science: 000692201500001
- 2021
  
  Uniform and graded bed-load sediment transport in a degrading channel with non-equilibrium conditions (vol 35, pg 115, 2020). INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH. 163-163.
  Full Text via DOI: 10.1016/j.ijsrc.2020.08.002 Web of Science: 000590413200015
Preprint

ORCID iD

https://orcid.org/0000-0001-5773-4003 (confirmed)

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