Characterizing groundwater distribution potential using GIS-based machine learning model in Chihe River basin, China

Ensemble machine learning paradigms in hydrology: A review

(2021) Mohammad Zounemat-Kermani et al.   JOURNAL OF HYDROLOGY

Novel approach for predicting groundwater storage loss using machine learning

(2021) Zahra Kayhomayoon et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Urban flood modeling using deep-learning approaches in Seoul, South Korea

(2021) Xinxiang Lei et al.   JOURNAL OF HYDROLOGY

Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran)

(2020) Alireza Arabameri et al.   Remote Sensing

A comparison of machine learning models for the mapping of groundwater spring potential

(2020) A’kif Al-Fugara et al.   Environmental Earth Sciences

Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping

(2020) Wei Chen et al.   JOURNAL OF HYDROLOGY

Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques

(2020) Sunmin Lee et al.   Remote Sensing

Using machine learning algorithms to map the groundwater recharge potential zones

(2020) Hamid Reza Pourghasemi et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Groundwater Withdrawal Prediction Using Integrated Multi‐Temporal Remote Sensing Datasets and Machine Learning

(2020) S. Majumdar et al.   WATER RESOURCES RESEARCH

Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential

(2019) Seyed Amir Naghibi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Locating groundwater artificial recharge sites using random forest: a case study of Shabestar region, Iran

(2019) Hossein Norouzi et al.   Environmental Earth Sciences

Review: Advances in groundwater potential mapping

(2019) S. Díaz-Alcaide et al.   HYDROGEOLOGY JOURNAL

Optimized Conditioning Factors Using Machine Learning Techniques for Groundwater Potential Mapping

(2019) Kalantar et al.   Water

Groundwater aquifer potential modeling using an ensemble multi-adoptive boosting logistic regression technique

(2019) Hossein Mojaddadi Rizeei et al.   JOURNAL OF HYDROLOGY

GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster

(2018) Luigi Lombardo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Groundwater potential mapping using a novel data-mining ensemble model

(2018) Mojtaba Dolat Kordestani et al.   HYDROGEOLOGY JOURNAL

Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches

(2018) Omid Rahmati et al.   JOURNAL OF HYDROLOGY

GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches

(2018) Alireza Arabameri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Modeling domestic water demand in Huaihe River Basin of China under climate change and population dynamics

(2017) Xiao-Jun Wang et al.   ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran

(2016) Omid Rahmati et al.   CATENA

A global review on ambient Limestone-Precipitating Springs (LPS): Hydrogeological setting, ecology, and conservation

(2016) Marco Cantonati et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Mapping of regional potential groundwater springs using Logistic Regression statistical method

(2016) Jalal Zandi et al.   Water Resources

Application of frequency ratio, weights of evidence and evidential belief function models in landslide susceptibility mapping

(2016) Qingfeng Ding et al.   Geocarto International

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

(2015) Seyed Amir Naghibi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

GIS-based assessment of landslide susceptibility using certainty factor and index of entropy models for the Qianyang County of Baoji city, China

(2015) Qiqing Wang et al.   Journal of Earth System Science

Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS

(2015) Yousef Razandi et al.   Earth Science Informatics

Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions

(2015) Tomislav Hengl et al.   PLoS One

GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province, Iran

(2014) Zohre Sadat Pourtaghi et al.   HYDROGEOLOGY JOURNAL

Groundwater spring potential mapping using bivariate statistical model and GIS in the Taleghan Watershed, Iran

(2013) D. Davoodi Moghaddam et al.   Arabian Journal of Geosciences

GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran)

(2013) H. R. Pourghasemi et al.   Arabian Journal of Geosciences

Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS

(2012) Mohamad Abd Manap et al.   Arabian Journal of Geosciences

Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya

(2012) Krishna Chandra Devkota et al.   NATURAL HAZARDS

Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area

(2011) Hyun-Joo Oh et al.   COMPUTERS & GEOSCIENCES

Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS

(2011) Dieu Tien Bui et al.   COMPUTERS & GEOSCIENCES

Application of a weights-of-evidence method and GIS to regional groundwater productivity potential mapping

(2011) Saro Lee et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Using a binary logistic regression method and GIS for evaluating and mapping the groundwater spring potential in the Sultan Mountains (Aksehir, Turkey)

(2011) Adnan Ozdemir   JOURNAL OF HYDROLOGY

GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea

(2010) Hyun-Joo Oh et al.   JOURNAL OF HYDROLOGY

Weight of evidence and artificial neural networks for potential groundwater spring mapping: an application to the Mt. Modino area (Northern Apennines, Italy)

(2009) Alessandro Corsini et al.   GEOMORPHOLOGY