All Stories

  1. Improving stage-discharge relationship modeling accuracy using a hybrid ViT-CNN framework

    Article • Scientific Reports, October 2025, Springer Science + Business Media

    Mohammad Taghi Sattari

  2. Comparison of N-BEATS with Standalone and Hybrid Deep Learning Models in Monthly Inflow Forecasting to the Aras Dam Reservoir: A Feature Selection Analysis

    Article • Journal of Agricultural Sciences, July 2025, Ankara University Faculty of Agriculture

    Mohammad Taghi Sattari

  3. Advancements in Hydrological Modeling: The Role of bRNN-CNN-GRU in Predicting Dam Reservoir Inflow Patterns

    Article • Water, May 2025, MDPI AG

    Mohammad Taghi Sattari

  4. Evaporation and precipitation prediction for future time frames via combined machine learning-climate change models: Quri Gol Wetland Case

    Article • Journal of Agricultural Sciences, March 2025, Ankara University Faculty of Agriculture

    Mohammad Taghi Sattari

  5. Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain

    Article • Geosciences, March 2025, MDPI AG

    Mohammad Taghi Sattari

  6. An integrated artificial intelligence-deep learning approach for vegetation canopy assessment and monitoring through satellite images

    Article • Stochastic Hydrology and Hydraulics, March 2025, Springer Science + Business Media

    Mohammad Taghi Sattari

  7. Groundwater quality mapping based on the Wilcox Classification method for agricultural purposes: Qazvin Plain aquifer case

    Article • Turkish Journal of Engineering, January 2025, Turkish Journal of Engineering

    Mohammad Taghi Sattari

  8. Kernel-Based Versus Tree-Based Data-Driven Models: On Applying Suspended Sediment Load Estimation

    Article • Water, October 2024, MDPI AG

    Mohammad Taghi Sattari

  9. Precipitation Modeling Based on Spatio-Temporal Variation in Lake Urmia Basin Using Machine Learning Methods

    Article • Water, April 2024, MDPI AG

    Mohammad Taghi Sattari

  10. Extreme pressure coefficients: modelling a hydraulic jump using deep-learning based methods

    Article • Sadhana, April 2024, Springer Science + Business Media

    Mohammad Taghi Sattari

  11. A comparative study of different optimization algorithms for the optimum operation of the Mahabad dam reservoir

    Article • Results in Engineering, March 2024, Elsevier

    Mohammad Taghi Sattari

  12. A Novel Stochastic Tree Model for Daily Streamflow Prediction Based on A Noise Suppression Hybridization Algorithm and Efficient Uncertainty Quantification

    Article • Water Resources Management, February 2024, Springer Science + Business Media

    Mohammad Taghi Sattari

  13. Application of Tree-Based Intelligence Methods for Wind Speed Estimation at the East of Lake Urmia

    Article • January 2024, Springer Science + Business Media

    Mohammad Taghi Sattari

  14. Evaluation of Feature Selection Methods in Estimation of Precipitation Based on Deep Learning Artificial Neural Networks

    Article • Water Resources Management, November 2023, Springer Science + Business Media

    Mohammad Taghi Sattari

  15. Meteorological drought assessment and prediction in association with combination of atmospheric circulations and meteorological parameters via rule based models

    Article • Journal of Agricultural Sciences, July 2023, Ankara University Faculty of Agriculture

    Mohammad Taghi Sattari

  16. Analysis of Long-Term Trend of Stream Flow and Interaction Effect of Land Use and Land Cover on Water Yield by SWAT Model and Statistical Learning in Part of Urmia Lake Basin, Northwest of Iran

    Article • Water, February 2023, MDPI AG

    Mohammad Taghi Sattari

  17. Comparative analysis of deep and machine learning approaches for daily carbon monoxide pollutant concentration estimation

    Article • International Journal of Environmental Science and Technology, December 2022, Springer Science + Business Media

    Mohammad Taghi Sattari

  18. Comprehensive review of solar radiation modeling based on artificial intelligence and optimization techniques: future concerns and considerations

    Article • Clean Technologies and Environmental Policy, December 2022, Springer Science + Business Media

    Mohammad Taghi Sattari

  19. An image-based deep learning model for water turbidity estimation in laboratory conditions

    Article • International Journal of Environmental Science and Technology, September 2022, Springer Science + Business Media

    Mohammad Taghi Sattari

  20. Modern Techniques to Modeling Reference Evapotranspiration in a Semiarid Area Based on ANN and GEP Models

    Article • Water, April 2022, MDPI AG

    Mohammad Taghi Sattari

  21. Agricultural drought survey using MODIS-based image indices at the regional scale: case study of the Urmia Lake Basin, Iran

    Article • Theoretical and Applied Climatology, March 2022, Springer Science + Business Media

    Mohammad Taghi Sattari

  22. Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey

    Article • Stochastic Hydrology and Hydraulics, February 2022, Springer Science + Business Media

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  23. Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions

    Article • Journal of Hydrology, September 2021, Elsevier

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  24. Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods

    Article • International Journal of Digital Earth, August 2021, Taylor & Francis

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  25. Surface water quality classification using data mining approaches: Irrigation along the Aladag River*

    Article • Irrigation and Drainage, April 2021, Wiley

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  26. Estimation of monthly and seasonal precipitation: A comparative study using data-driven methods versus hybrid approach

    Article • Measurement, March 2021, Elsevier

    Mohammad Taghi Sattari

  27. Comparative analysis of kernel-based versus ANN and deep learning methods in monthly reference evapotranspiration estimation

    Article • Hydrology and Earth System Sciences, February 2021, Copernicus GmbH

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  28. Genetic Programming Approach for Estimating Energy Dissipation of Flow over Cascade Spillways

    Article • Iranian Journal of Science and Technology Transactions of Civil Engineering, November 2020, Springer Science + Business Media

    Mohammad Taghi Sattari

  29. Investigating the Effect of Managing Scenarios of Flow Reduction and Increasing Irrigation Water Demand on Water Resources Allocation Using System Dynamics (Case Study: Zonouz Dam, Iran)

    Article • Tekirdağ Ziraat Fakültesi Dergisi, September 2020, Tekirdag Ziraat Fakultesi Dergisi

    Dr. Rasoul Mirabbasi, Mohammad Taghi Sattari

  30. Deep-learning GIS hybrid approach in precipitation modeling based on spatio-temporal variables in the coastal zone of Turkey

    Article • Climate Research, September 2020, Inter-Research Science Center

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  31. Soil Temperature Estimation with Meteorological Parameters by Using Tree-Based Hybrid Data Mining Models

    Article • Mathematics, August 2020, MDPI AG

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  32. Estimation of sodium adsorption ratio in a river with kernel-based and decision-tree models

    Article • Environmental Monitoring and Assessment, August 2020, Springer Science + Business Media

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  33. Estimation of pan evaporation coefficient in cold and dry climate conditions with a decision-tree model

    Article • August 2020, Centro de Ciencias de la Atmosfera

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  34. Comparative analysis of Kernel-based versus BFGS-ANN and deep learning methods in monthly reference evaporation estimation

    Article • July 2020, Copernicus GmbH

    Mohammad Taghi Sattari

  35. Performance Evaluation of Deep Learning-Based Gated Recurrent Units (GRUs) and Tree-Based Models for Estimating ETo by Using Limited Meteorological Variables

    Article • Mathematics, June 2020, MDPI AG

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  36. Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting

    Article • Water, May 2020, MDPI AG

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  37. Monthly precipitation assessments in association with atmospheric circulation indices by using tree-based models

    Article • Natural Hazards, May 2020, Springer Science + Business Media

    Mohammad Taghi Sattari

  38. Potential of kernel and tree-based machine-learning models for estimating missing data of rainfall

    Article • Engineering Applications of Computational Fluid Mechanics, January 2020, Taylor & Francis

    Mohammad Taghi Sattari

  39. Using the Hybrid Simulated Annealing-M5 Tree Algorithms to Extract the If-Then Operation Rules in a Single Reservoir

    Article • Water Resources Management, August 2019, Springer Science + Business Media

    Mohammad Taghi Sattari

  40. Modeling Daily Pan Evaporation in Humid Climates Using Gaussian Process Regression

    Article • July 2019, MDPI AG

    Mohammad Taghi Sattari

  41. Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran

    Article • Environmental Science and Pollution Research, December 2017, Springer Science + Business Media

    Mohammad Taghi Sattari

  42. Groundwater Level prediction in Ardebil Plain, Iran

    Article • Ground Water, November 2017, Wiley

    Mohammad Taghi Sattari, Dr. Rasoul Mirabbasi

  43. Threshold-Based Hybrid Data Mining Method for Long-Term Maximum Precipitation Forecasting

    Article • Water Resources Management, April 2017, Springer Science + Business Media

    Mohammad Taghi Sattari

  44. Performance evaluation of ANNs and an M5 model tree in Sattarkhan Reservoir inflow prediction

    Article • ISH Journal of Hydraulic Engineering, April 2017, Taylor & Francis

    Mohammad Taghi Sattari

  45. Estimation of daily soil temperature via data mining techniques in semi-arid climate conditions

    Article • Earth Sciences Research Journal, April 2017, Universidad Nacional de Colombia

    Mohammad Taghi Sattari

  46. Predicting Discharge Coefficient of Rectangular Broad-Crested Gabion Weir Using M5 Tree Model

    Article • Iranian Journal of Science and Technology Transactions of Civil Engineering, February 2017, Springer Science + Business Media

    Mohammad Taghi Sattari

  47. Assessment of different methods for estimation of missing data in precipitation studies

    Article • Hydrology Research, September 2016, IWA Publishing

    Mohammad Taghi Sattari

  48. Estimation of Water Quality Parameters With Data‐Driven Model

    Article • American Water Works Association, April 2016, Wiley

    Mohammad Taghi Sattari

  49. Determining Flow Friction Factor in Irrigation Pipes Using Data Mining and Artificial Intelligence Approaches

    Article • Applied Artificial Intelligence, September 2014, Taylor & Francis

    Professor Ozgur Kisi, Dr Ozgur Kisi, Mohammad Taghi Sattari

  50. Ground water quality classification by decision tree method in Ardebil region, Iran

    Article • Arabian Journal of Geosciences, August 2013, Springer Science + Business Media

    Dr. Rasoul Mirabbasi, Mohammad Taghi Sattari

  51. M5 Model Tree Application in Daily River Flow Forecasting in Sohu Stream, Turkey

    Article • Water Resources, May 2013, Pleiades Publishing Ltd

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  52. Stochastic analysis of irrigation reservoir in low-flow : Case study Eleviyan Reservoir, Iran

    Article • TURKISH JOURNAL OF AGRICULTURE AND FORESTRY, January 2013, The Scientific and Technological Research Council of Turkey

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  53. A data mining approach to derive operating rules for the Eleviyan irrigation reservoir

    Article • Lake and Reservoir Management, June 2012, Taylor & Francis

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  54. Performance evaluation of artificial neural network approaches in forecasting reservoir inflow

    Article • Applied Mathematical Modelling, June 2012, Elsevier

    Mohammad Taghi Sattari

  55. Application of data mining on evaluation of energy dissipation over low gabion-stepped weir

    Article • TURKISH JOURNAL OF AGRICULTURE AND FORESTRY, January 2012, The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS

    Mohammad Taghi Sattari

  56. Flow estimations for the Sohu Stream using artificial neural networks

    Article • Environmental Earth Sciences, November 2011, Springer Science + Business Media

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari

  57. Minimum akımların L-momentler yöntemi ile bölgesel frekans analizi

    Article • Journal of Agricultural Sciences, January 2011, Ankara University Faculty of Agriculture

    Mohammad Taghi Sattari

  58. Operation analysis of Eleviyan irrigation reservoir dam by optimization and stochastic simulation

    Article • Stochastic Hydrology and Hydraulics, December 2008, Springer Science + Business Media

    Prof. Dr. Halit APAYDIN, Mohammad Taghi Sattari