0000000000800632

AUTHOR

Saeid Janizadeh

showing 2 related works from this author

Rainfall and water yield in Macizo del Caroig, Eastern Iberian Peninsula. Event runoff at plot scale during a rare flash flood at the Barranco de Ben…

2021

[EN] Floods are a consequence of extreme rainfall events. Although surface runoff generation is the origin of discharge, flood research usually focuses on lowlands where the impact is higher. Runoff and sediment delivery at slope and pedon scale receiving much less attention in the effort to understand flood behaviour in time and space. This is especially relevant in areas where, due to climatic and hydrogeological conditions, streams are ephemeral, so-called dry rivers (¿wadis¿, "ramblas" or ¿barrancos¿) that are widespread throughout the Mediterranean. This paper researches the relationship between water delivery at pedon and slope scale with dry river floods in Macizo del Caroig, Eastern…

RainfallMediterranean climate010504 meteorology & atmospheric sciencesRunoffGeography Planning and DevelopmentSTREAMS010501 environmental sciencesEnvironmental Science (miscellaneous)01 natural sciencessediments rainfallPrecipitaciónSedimentsDry riversRíos secosEarth and Planetary Sciences (miscellaneous)Flash floodWadiEscorrentía0105 earth and related environmental sciencesHydrologyGeography (General)geographygeography.geographical_feature_categoryFlood mythSedimentCOMERCIALIZACION E INVESTIGACION DE MERCADOSExtreme events15. Life on landEphemeral floods6. Clean waterInundaciones efímerasSedimentos13. Climate actionINGENIERIA CARTOGRAFICA GEODESIA Y FOTOGRAMETRIAG1-922Environmental scienceSurface runoffEventos extremosChannel (geography)Cuadernos de Investigación Geográfica
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Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility U…

2020

Piping erosion is one form of water erosion that leads to significant changes in the landscape and environmental degradation. In the present study, we evaluated piping erosion modeling in the Zarandieh watershed of Markazi province in Iran based on random forest (RF), support vector machine (SVM), and Bayesian generalized linear models (Bayesian GLM) machine learning algorithms. For this goal, due to the importance of various geo-environmental and soil properties in the evolution and creation of piping erosion, 18 variables were considered for modeling the piping erosion susceptibility in the Zarandieh watershed. A total of 152 points of piping erosion were recognized in the study area that…

pipinglcsh:Sdeep learninggeoinformaticshazard mappingnatural hazarderosionsusceptibilityBayesian generalized linear model (Bayesian GLM)lcsh:Agriculturemachine learningspatial modelinggeohazardbig datasupport vector machinedata sciencerandom forestLand
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