Search Results - "Rahmati, Omid"

Prediction of the landslide susceptibility: Which algorithm, which precision? by Pourghasemi, Hamid Reza, Rahmati, Omid

“…Coupling machine learning algorithms with spatial analytical techniques for landslide susceptibility modeling is a worth considering issue. So, the current…”
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Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran by Rahmati, Omid, Pourghasemi, Hamid Reza, Melesse, Assefa M.

“…Groundwater is considered as the most important natural resources in arid and semi-arid regions. In this study, the application of random forest (RF) and…”
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Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques by Darabi, Hamid, Choubin, Bahram, Rahmati, Omid, Torabi Haghighi, Ali, Pradhan, Biswajeet, Kløve, Bjørn

“…•The GARP and QUEST machine learning techniques were used to assess flood risks.•The models provide a fast method to assess flood risks.•Distance to channel…”
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A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination by Sajedi-Hosseini, Farzaneh, Malekian, Arash, Choubin, Bahram, Rahmati, Omid, Cipullo, Sabrina, Coulon, Frederic, Pradhan, Biswajeet

“…This study aimed to develop a novel framework for risk assessment of nitrate groundwater contamination by integrating chemical and statistical analysis for an…”
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Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion by Rahmati, Omid, Tahmasebipour, Nasser, Haghizadeh, Ali, Pourghasemi, Hamid Reza, Feizizadeh, Bakhtiar

“…Gully erosion constitutes a serious problem for land degradation in a wide range of environments. The main objective of this research was to compare the…”
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Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis by Rahmati, Omid, Zeinivand, Hossein, Besharat, Mosa

“…Flood is considered to be the most common natural disaster worldwide during the last decades. Flood hazard potential mapping is required for management and…”
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Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models by Siahkamari, Safura, Haghizadeh, Ali, Zeinivand, Hossein, Tahmasebipour, Naser, Rahmati, Omid

“…Modelling the flood in watersheds and reducing the damages caused by this natural disaster is one of the primary objectives of watershed management. This study…”
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Development of novel hybridized models for urban flood susceptibility mapping by Rahmati, Omid, Darabi, Hamid, Panahi, Mahdi, Kalantari, Zahra, Naghibi, Seyed Amir, Ferreira, Carla Sofia Santos, Kornejady, Aiding, Karimidastenaei, Zahra, Mohammadi, Farnoush, Stefanidis, Stefanos, Tien Bui, Dieu, Haghighi, Ali Torabi

“…Floods in urban environments often result in loss of life and destruction of property, with many negative socio-economic effects. However, the application of…”
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A step toward considering the return period in flood spatial modeling by Choubin, Bahram, Hosseini, Farzaneh Sajedi, Rahmati, Omid, Youshanloei, Mansor Mehdizadeh

“…In recent years, there has been an increasing interest in spatial modeling, and flood hazard prediction is a major area of interest within the field of…”
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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 by Shahabi, Himan, Shirzadi, Ataollah, Ghaderi, Kayvan, Omidvar, Ebrahim, Al-Ansari, Nadhir, Clague, John J., Geertsema, Marten, Khosravi, Khabat, Amini, Ata, Bahrami, Sepideh, Rahmati, Omid, Habibi, Kyoumars, Mohammadi, Ayub, Nguyen, Hoang, Melesse, Assefa M., Ahmad, Baharin Bin, Ahmad, Anuar

“…Mapping flood-prone areas is a key activity in flood disaster management. In this paper, we propose a new flood susceptibility mapping technique. We employ new…”
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The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers by Moghaddam, Davoud Davoudi, Rahmati, Omid, Panahi, Mahdi, Tiefenbacher, John, Darabi, Hamid, Haghizadeh, Ali, Haghighi, Ali Torabi, Nalivan, Omid Asadi, Tien Bui, Dieu

“…•RF and ANFIS-ICA models were less sensitive to reductions of sample size.•The RF outperformed other models in terms of goodness-of-fit and predictive…”
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Geomorphological change detection of an urban meander loop caused by an extreme flood using remote sensing and bathymetry measurements (a case study of Karoon River, Iran) by Yousefi, Saleh, Pourghasemi, Hamid Reza, Rahmati, Omid, Keesstra, Saskia, Emami, Sayed Naim, Hooke, Janet

“…[Display omitted] •Spatial changes in an urban meander river was detected.•Effects of an extreme flood on sediment budget was determined.•The amount of bank…”
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Multi-Temporal Analysis of Forest Fire Probability Using Socio-Economic and Environmental Variables by Kim, Sea Jin, Lim, Chul-Hee, Kim, Gang Sun, Lee, Jongyeol, Geiger, Tobias, Rahmati, Omid, Son, Yowhan, Lee, Woo-Kyun

“…As most of the forest fires in South Korea are related to human activity, socio-economic factors are critical in estimating their probability. To estimate and…”
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Land degradation risk mapping using topographic, human-induced, and geo-environmental variables and machine learning algorithms, for the Pole-Doab watershed, Iran by Torabi Haghighi, Ali, Darabi, Hamid, Karimidastenaei, Zahra, Davudirad, Ali Akbar, Rouzbeh, Sajad, Rahmati, Omid, Sajedi-Hosseini, Farzaneh, Klöve, Björn

“…Land degradation (LD) is a complex process affected by both anthropogenic and natural driving variables, and its prevention has become an essential task…”
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Assessing the susceptibility of schools to flood events in Iran by Yousefi, Saleh, Pourghasemi, Hamid Reza, Emami, Sayed Naeim, Rahmati, Omid, Tavangar, Shahla, Pouyan, Soheila, Tiefenbacher, John P., Shamsoddini, Shahbaz, Nekoeimehr, Mohammad

“…Catastrophic floods cause deaths, injuries, and property damages in communities around the world. The losses can be worse among those who are more vulnerable…”
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Multi-Hazard Exposure Mapping Using Machine Learning Techniques: A Case Study from Iran by Rahmati, Omid, Yousefi, Saleh, Kalantari, Zahra, Uuemaa, Evelyn, Teimurian, Teimur, Keesstra, Saskia, Pham, Tien, Tien Bui, Dieu

“…Mountainous areas are highly prone to a variety of nature-triggered disasters, which often cause disabling harm, death, destruction, and damage. In this work,…”
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Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models by Nhu, Viet-Ha, Rahmati, Omid, Falah, Fatemeh, Shojaei, Saeed, Al-Ansari, Nadhir, Shahabi, Himan, Shirzadi, Ataollah, Górski, Krzysztof, Nguyen, Hoang, Ahmad, Baharin

“…Groundwater is an important natural resource in arid and semi-arid environments, where discharge from karst springs is utilized as the principal water supply…”
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A Modeling Comparison of Groundwater Potential Mapping in a Mountain Bedrock Aquifer: QUEST, GARP, and RF Models by Davoudi Moghaddam, Davoud, Rahmati, Omid, Haghizadeh, Ali, Kalantari, Zahra

“…In some arid regions, groundwater is the only source of water for human needs, so understanding groundwater potential is essential to ensure its sustainable…”
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Assessing morphological changes in a human-impacted alluvial system using hydro-sediment modeling and remote sensing by Shojaeian, Mohammad Reza, Karimidastenaei, Zahra, Rahmati, Omid, Haghighi, Ali Torabi

“…Construction of managed aquifer recharge structures (MARS) to store floodwater is a common strategy for storing depleted groundwater resources in arid and…”
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A Hot-Spot Analysis of Forest Roads Based on Soil Erosion and Sediment Production by Yousefi, Saleh, Emami, Sayed Naeim, Nekoeimehr, Mohammad, Rahmati, Omid, Imaizumi, Fumitoshi, Gomez, Christopher, Valjarevic, Aleksandar

“…Forest roads have been recognized as one of the significant contributors to soil erosion processes in forested areas. The construction and maintenance of…”
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