Search Results - "Danandeh Mehr, Ali"
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Seasonal rainfall hindcasting using ensemble multi-stage genetic programming
Published in Theoretical and applied climatology (01-01-2021)“…Rainfall hindcasting is one of the most challenging tasks in the hydrometeorological forecasting community. The current ad hoc data-driven approaches appear to…”
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Genetic programming in water resources engineering: A state-of-the-art review
Published in Journal of hydrology (Amsterdam) (01-11-2018)“…•More than 150 papers dealing with applications of GP in water resource engineering were reviewed.•Fundamentals of GP variants were provided and compared with…”
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Drought classification using gradient boosting decision tree
Published in Acta geophysica (01-06-2021)“…This paper compares the classification and prediction capabilities of decision tree (DT), genetic programming (GP), and gradient boosting decision tree (GBT)…”
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Pareto-optimal MPSA-MGGP: A new gene-annealing model for monthly rainfall forecasting
Published in Journal of hydrology (Amsterdam) (01-04-2019)“…•A new Pareto-optimal MPSA-MGG model was proposed for rainfall forecasting.•The new model reflects the periodic patterns of rainfall time series into a…”
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Rainfall-runoff modeling through regression in the reproducing kernel Hilbert space algorithm
Published in Journal of hydrology (Amsterdam) (01-08-2020)“…•Regression in the Reproducing Kernel Hilbert Space (RRKHS) is implemented.•The RRKHS is introduced to model rainfall-runoff process for the first time.•The…”
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A gene–wavelet model for long lead time drought forecasting
Published in Journal of hydrology (Amsterdam) (01-09-2014)“…•We developed a gene–wavelet model (WLGP) for long lead time drought forecasting.•The WLGP provides more accurate results than LGP.•The WLGP is explicit and…”
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A new evolutionary time series model for streamflow forecasting in boreal lake-river systems
Published in Theoretical and applied climatology (01-04-2022)“…Genetic programming (GP) is an evolutionary regression method that has received considerable interest to model hydro-environmental phenomena recently…”
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Climate change impact assessment on mild and extreme drought events using copulas over Ankara, Turkey
Published in Theoretical and applied climatology (01-08-2020)“…Climate change, one of the major environmental challenges facing mankind, has caused intermittent droughts in many regions resulting in reduced water…”
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Multitemporal meteorological drought forecasting using Bat-ELM
Published in Acta geophysica (01-04-2022)“…The advancement of the machine learning (ML) models has demonstrated notable progress in geosciences. They can identify the underlying process or causality of…”
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10
Multiple genetic programming: a new approach to improve genetic-based month ahead rainfall forecasts
Published in Environmental monitoring and assessment (01-01-2020)“…It is well documented that standalone machine learning methods are not suitable for rainfall forecasting in long lead-time horizons. The task is more difficult…”
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11
Sediment transport modeling in non-deposition with clean bed condition using different tree-based algorithms
Published in PloS one (08-10-2021)“…To reduce the problem of sedimentation in open channels, calculating flow velocity is critical. Undesirable operating costs arise due to sedimentation…”
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A Novel Fuzzy Random Forest Model for Meteorological Drought Classification and Prediction in Ungauged Catchments
Published in Pure and applied geophysics (01-12-2020)“…This paper presents a new tree-based model, namely Fuzzy Random Forest (FRF), for one month ahead Standardized Precipitation Evapotranspiration Index (SPEI)…”
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13
Iran's Agriculture in the Anthropocene
Published in Earth's future (01-09-2020)“…The anthropogenic impacts of development and frequent droughts have limited Iran's water availability. This has major implications for Iran's agricultural…”
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Sensitivity of Standardized Precipitation and Evapotranspiration Index (SPEI) to the choice of SPEI probability distribution and evapotranspiration method
Published in Journal of hydrology. Regional studies (01-06-2024)“…The state of Oklahoma located in the Southern Plains region of the United States. The standardized precipitation evapotranspiration index (SPEI) is a widely…”
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A New Multi-Objective Genetic Programming Model for Meteorological Drought Forecasting
Published in Water (Basel) (01-10-2023)“…Drought forecasting is a vital task for sustainable development and water resource management. Emerging machine learning techniques could be used to develop…”
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Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes
Published in International journal of sediment research (01-04-2020)“…Mitigation of sediment deposition in lined open channels is an essential issue in hydraulic engineering practice. Hence, the limiting velocity should be…”
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Factors affecting the presence of Arctic charr in streams based on a jittered binary genetic programming model
Published in Ecological indicators (01-09-2022)“…•A novel evolutionary model (JBGP) was developed.•The JBGP classifies the presence of Arctic charr in the Teno River catchment.•The JBGP is superior to the…”
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A New Evolutionary Hybrid Random Forest Model for SPEI Forecasting
Published in Water (Basel) (01-03-2022)“…State-of-the-art random forest (RF) models have been documented as versatile tools to solve regression and classification problems in hydrology. They can model…”
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Regional classification of extreme droughts across Iran
Published in Acta geophysica (2024)“…In arid and semi-arid regions like Iran, sustainable urban and agricultural development is intimately intertwined with the severity, frequency, and duration of…”
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An improved gene expression programming model for streamflow forecasting in intermittent streams
Published in Journal of hydrology (Amsterdam) (01-08-2018)“…•A new hybrid model, called GEP-GA, was proposed for streamflow forecasting in intermittent streams.•The coefficients of the best GEP expressions were…”
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