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نمایش تعداد 1-10 از 17

Use of a maximum entropy model to identify the key factors that influence groundwater availability on the Gonabad Plain, Iran

نوع: Journal Paper

نویسنده : علی گل کاریان; Omid Rahmati; Ali Golkarian; Omid Rahmati

سال: 2018

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Prediction of the landslide susceptibility: Which algorithm, which precision?

نوع: Journal Paper

نویسنده : Pourghasemi, Hamid Reza, and Omid Rahmati.

ناشر: Elsevier BV

سال: 2018

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Prediction of the landslide susceptibility: Which algorithm, which precision?

نوع: Journal Paper

نویسنده : Hamid Reza Pourghasemi; Omid Rahmati

سال: 2018

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Prediction of the landslide susceptibility: Which algorithm, which precision?

نوع: Journal Paper

نویسنده : Hamid Reza Pourghasemi; Omid Rahmati

سال: 2018

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Identification of Critical Flood Prone Areas in Data-Scarce and Ungauged Regions: A Comparison of Three Data Mining Models

نوع: Journal Paper

نویسنده : Omid Rahmati; Hamid Reza Pourghasemi

سال: 2017

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Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran

نوع: Journal Paper

نویسنده : Omid Rahmati; Assefa M. Melesse

سال: 2016

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Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

نوع: Journal Paper

نویسنده : Omid Rahmati; Hamid Reza Pourghasemi; Hossein Zeinivand

سال: 2015

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Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

نوع: Journal Paper

نویسنده : Omid Rahmati; Hossein Zeinivand; Mosa Besharat

سال: 2015

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Spatial analysis of groundwater potential using weights-of-evidence and evidential belief function models and remote sensing

نوع: Journal Paper

نویسنده : Naser Tahmassebipoor; Omid Rahmati; Farhad Noormohamadi; Saro Lee

سال: 2015

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Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models

نوع: Journal Paper

نویسنده : Safura Siahkamari; Ali Haghizadeh; Hossein Zeinivand; Naser Tahmasebipour; Omid Rahmati

سال: 2017

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Use of a maximum entropy model to identify the key factors that influence groundwater availability on the Gonabad Plain, Iran

Prediction of the landslide susceptibility: Which algorithm, which precision?

Prediction of the landslide susceptibility: Which algorithm, which precision?

Prediction of the landslide susceptibility: Which algorithm, which precision?

Identification of Critical Flood Prone Areas in Data-Scarce and Ungauged Regions: A Comparison of Three Data Mining Models

Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran

Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Spatial analysis of groundwater potential using weights-of-evidence and evidential belief function models and remote sensing

Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models

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Use of a maximum entropy model to identify the key factors that influence groundwater availability on the Gonabad Plain, Iran

Prediction of the landslide susceptibility: Which algorithm, which precision?

Prediction of the landslide susceptibility: Which algorithm, which precision?

Prediction of the landslide susceptibility: Which algorithm, which precision?

Identification of Critical Flood Prone Areas in Data-Scarce and Ungauged Regions: A Comparison of Three Data Mining Models

Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran

Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Spatial analysis of groundwater potential using weights-of-evidence and evidential belief function models and remote sensing

Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models