7 New Runoff Prediction Models Compared Using Machine Learning
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The seven most recent Runoff Prediction Models(RPM) are selected based on their accuracy, reliability, ease of use, and recentness : Non Homogeneous Markov Chain Runoff Prediction Model(NHMC-RPM) Optimized SWAT-ANN Particle Swarm Optimization(PSO)- Long Short-Term Memory (LSTM) Model Support Vector Machine(SVM) Identification of unit Hydrograph and Component flows from Rainfall, Evapotranspiration, and Streamflow(IHACRES)-Group Method of Data Handling(GMDH) Hybrid Combined Forecasting Model(CFM) : Extreme Learning Machine(ELM) with PSO Auto-Regressive Moving Average(ARMA) Click the link below to view the schematics of each model. https://hydroideas.blogspot.com/2022/04/recenthydrologymodel.html
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7 New Runoff Prediction Models Compared Using Machine Learning
- 1. Seven New Runoff Prediction Models Optimized SWAT-ANN Data Used 30 years rainfall Author : Zhihua et.al.(2020) Link https://doi.org/10.1016/j.ejrh.2020.100688 Models Used SWAT ANN MWOA For simulating runoff and fed to ANN as input ANN predict runoff compare with actual runoff To improve accuracy For training the ANN model PSO-LSTM Model Models Used PSO LSTM Optimizing hyperparameters of LSTM Simulation of Flood Peak Author :Xu et.al.(2022) Link : https://doi.org/10.1016/j.jhydrol.2022.127553 CFM : ELM with PSO Models Used MLR SVR FFBP-NN Input Atmospheric Circulation Factor Output Author : Ai et.al.,2022 Link https://doi.org/10.2166/hydro.2022.116 ARMA Models Used CEEMDAN Runoff time Series Decomposition ARMA Runoff Author : Zhang et.al.2022) Link https://link.springer.com/article/10.1007/s11269-021-03035-7 NHMC RPM Models Used ARIMA HMC EMD-ARIMA BPNN Author : Li et.al.,2022) Link Output NHMC RPM Weekly runoff probabilitty Support Vector Machine Models Used ANN SVM GEP HYMOD Output Input Runoff to DAM Input climatic parameters under changed climate Author : Yoosefdoost et.al.,2022 Link https://link.springer.com/article/10.1007/s11269-022-03068-6 IHACRES-GMDH Hybrid Models Used IHACRES IHACRES-GMDH Input Output Precipitation Temperature Satellite based data Groundbase data Runoff Author : Fattahi et.al.,2022 Link https://doi.org/10.2166/ws.2021.267 https://pubag.nal.usda.gov/catalog/7706321 Input Runoff Weekly runoff