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Hydrological Sciences Journal Volume 65, 2020 - Issue 16
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Research Article

Improving groundwater potential mapping using metaheuristic approaches

Seyed Vahid Razavi-Termeha Geoinformation Tech. Center of Excellence, Faculty of Geodesy & Geomatics Engineering, K.N. Toosi University of Technology, Tehran, IranView further author information
,
Khabat Khosravib Department of Watershed Management Engineering, Sari Agricultural Science and Natural resources University, Sari, IranView further author information
,
Abolghasem Sadeghi-Niarakia Geoinformation Tech. Center of Excellence, Faculty of Geodesy & Geomatics Engineering, K.N. Toosi University of Technology, Tehran, Iran;c Department of Computer Science and Engineering, Sejong University, Seoul, Republic of KoreaCorrespondence[email protected]
View further author information
,
Soo-Mi Choic Department of Computer Science and Engineering, Sejong University, Seoul, Republic of KoreaView further author information
&
Vijay P. Singhd Department of Biological and Agricultural Engineering and Zachry Department of Civil & Environmental Engineering, Texas A & M University, Texas, Texas, USAView further author information
Pages 2729-2749 | Received 21 May 2020, Accepted 20 Jul 2020, Published online: 17 Nov 2020

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Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki & Soo-Mi Choi. (2022) Spatio-temporal modelling of asthma-prone areas using a machine learning optimized with metaheuristic algorithms. Geocarto International 37:25, pages 9917-9942.
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Huu Duy Nguyen, Bui Quang-Thanh, Quoc-Huy Nguyen, Tien Giang Nguyen, Le Tuan Pham, Xuan Linh Nguyen, Phuong Lan Vu, Thi Ha Thanh Nguyen, Anh Tuan Nguyen & Alexandru-Ionut Petrisor. (2022) A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam. Hydrological Sciences Journal 67:7, pages 1065-1083.
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Articles from other publishers (27)

Ali Asghar Alesheikh, Zahra Chatrsimab, Fatemeh Rezaie, Saro Lee, Ali Jafari & Mahdi Panahi. (2024) Land subsidence susceptibility mapping based on InSAR and a hybrid machine learning approach. The Egyptian Journal of Remote Sensing and Space Sciences 27:2, pages 255-267.
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Ebrahim Nohani, Solmaz Khazaei, Mohammad Dorjahangir, Haniyeh Asadi, Sahar Elkaee, Asad Mahdavi, Javad Hatamiafkoueieh & John P. Tiefenbacher. (2023) Delineating flood-prone areas using advanced integration of reduced-error pruning tree with different ensemble classifier algorithms. Acta Geophysica.
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Seyed Vahid Razavi-Termeh, Javad Hatamiafkoueieh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi & Khalifa M. Al-Kindi. (2023) A GIS-based multi-objective evolutionary algorithm for landslide susceptibility mapping. Stochastic Environmental Research and Risk Assessment.
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Seyed Vahid Razavi-Termeh, MyoungBae Seo, Abolghasem Sadeghi-Niaraki & Soo-Mi Choi. (2023) Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a sequential ensemble algorithm. Weather and Climate Extremes 41, pages 100595.
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José Miguel Deformes, Jorge Núñez, Jerry P. Fairley, José Luis Arumí & Ricardo Oyarzún. (2023) Assessing Groundwater Potential in a Mid-Mountain Dryland Area of North-Central Chile through Geospatial Mapping. Water 15:16, pages 3005.
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Mahsa Farahani, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki & Soo-Mi Choi. (2023) People's olfactory perception potential mapping using a machine learning algorithm: A Spatio-temporal approach. Sustainable Cities and Society 93, pages 104472.
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Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, MyoungBae Seo & Soo-Mi Choi. (2023) Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery. Science of The Total Environment 873, pages 162285.
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Huseyin Parmaksiz, Ugur Yuzgec, Emrah Dokur & Nuh Erdogan. (2023) Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting. Knowledge-Based Systems 268, pages 110472.
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Omid Asadi Nalivan, Seyed Ali Mousavi Tayebi, Mohammad Mehrabi, Hoda Ghasemieh & Marco Scaioni. (2022) A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran. Stochastic Environmental Research and Risk Assessment 37:5, pages 1821-1838.
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S.I. Abba, Mohammed Benaafi, A.G. Usman, Dilber Uzun Ozsahin, Bassam Tawabini & Isam H. Aljundi. (2023) Mapping of groundwater salinization and modelling using meta-heuristic algorithms for the coastal aquifer of eastern Saudi Arabia. Science of The Total Environment 858, pages 159697.
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Soroosh Mehravar, Seyed Vahid Razavi-Termeh, Armin Moghimi, Babak Ranjgar, Fatemeh Foroughnia & Meisam Amani. (2023) Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression. Journal of Hydrology 617, pages 129100.
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Sourav Choudhary, Jagriti Jain, Santosh Murlidhar Pingale & Deepak Khare. 2023. Emerging Technologies for Water Supply, Conservation and Management. Emerging Technologies for Water Supply, Conservation and Management 109 132 .
Ahmed Al-Areeq, S. Abba, Mohamed Yassin, Mohammed Benaafi, Mustafa Ghaleb & Isam Aljundi. (2022) Computational Machine Learning Approach for Flood Susceptibility Assessment Integrated with Remote Sensing and GIS Techniques from Jeddah, Saudi Arabia. Remote Sensing 14:21, pages 5515.
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Nguyen Ngoc Thanh, Pongsathron Thunyawatcharakul, Nguyen Huu Ngu & Srilert Chotpantarat. (2022) Global review of groundwater potential models in the last decade: Parameters, model techniques, and validation. Journal of Hydrology 614, pages 128501.
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Sahar Amiri-Doumari, Ahmadreza Karimipour, Seyed Nader Nayebpour & Javad Hatamiafkoueieh. (2022) Integration of group method of data handling (GMDH) algorithm and population-based metaheuristic algorithms for spatial prediction of potential groundwater. Environmental Earth Sciences 81:20.
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Shavan Askar, Sajjad Zeraat Peyma, Mohanad Mohsen Yousef, Natalia Alekseevna Prodanova, Iskandar Muda, Mohamed Elsahabi & Javad Hatamiafkoueieh. (2022) Flood Susceptibility Mapping Using Remote Sensing and Integration of Decision Table Classifier and Metaheuristic Algorithms. Water 14:19, pages 3062.
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Negar Shabanpour, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi & Tamer Abuhmed. (2022) Integration of machine learning algorithms and GIS-based approaches to cutaneous leishmaniasis prevalence risk mapping. International Journal of Applied Earth Observation and Geoinformation 112, pages 102854.
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Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki & Soo-Mi Choi. (2022) Coronavirus disease vulnerability map using a geographic information system (GIS) from 16 April to 16 May 2020. Physics and Chemistry of the Earth, Parts A/B/C 126, pages 103043.
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Barbara Stachurska, Amin Mahdavi-Meymand & Wojciech Sulisz. (2022) Machine learning methodology for determination of sediment particle velocities over sandy and rippled bed. Measurement 197, pages 111332.
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Mahsa Farahani, Seyed Vahid Razavi-Termeh & Abolghasem Sadeghi-Niaraki. (2022) A spatially based machine learning algorithm for potential mapping of the hearing senses in an urban environment. Sustainable Cities and Society 80, pages 103675.
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Seyedeh Zeinab Shogrkhodaei, Seyed Vahid Razavi-Termeh & Amanollah Fathnia. (2021) Spatio-temporal modeling of PM2.5 risk mapping using three machine learning algorithms. Environmental Pollution 289, pages 117859.
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Farbod Farhangi, Abolghasem Sadeghi-Niaraki, Seyed Vahid Razavi-Termeh & Soo-Mi Choi. (2021) Evaluation of Tree-Based Machine Learning Algorithms for Accident Risk Mapping Caused by Driver Lack of Alertness at a National Scale. Sustainability 13:18, pages 10239.
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Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Farbod Farhangi & Soo-Mi Choi. (2021) COVID-19 Risk Mapping with Considering Socio-Economic Criteria Using Machine Learning Algorithms. International Journal of Environmental Research and Public Health 18:18, pages 9657.
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Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki & Soo-Mi Choi. (2021) Effects of air pollution in Spatio-temporal modeling of asthma-prone areas using a machine learning model. Environmental Research 200, pages 111344.
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Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki & Soo-Mi Choi. (2021) Spatial Modeling of Asthma-Prone Areas Using Remote Sensing and Ensemble Machine Learning Algorithms. Remote Sensing 13:16, pages 3222.
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Babak Ranjgar, Seyed Vahid Razavi-Termeh, Fatemeh Foroughnia, Abolghasem Sadeghi-Niaraki & Daniele Perissin. (2021) Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms. Remote Sensing 13:7, pages 1326.
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Sadegh Karimi-Rizvandi, Hamid Valipoori Goodarzi, Javad Hatami Afkoueieh, Il-Moon Chung, Ozgur Kisi, Sungwon Kim & Nguyen Thi Thuy Linh. (2021) Groundwater-Potential Mapping Using a Self-Learning Bayesian Network Model: A Comparison among Metaheuristic Algorithms. Water 13:5, pages 658.
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