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Comparison of Two Recurrent Neural Networks for Rainfall-Runoff Modeling in the Zou River Basin at Atchérigbé (Bénin)

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Journal of Geoscience and Environment Protection 2024年第9期12卷 167-181页

作者： Iboukoun Eliézer Biao Oscar Houessou Pierre Jérôme Zohou Adéchina Eric Alamou National School of Mathematical Engineering and Modeling National University of Sciences Technology Engineering and Mathematics Abomey Benin lagea National School of Public Works National University of Sciences Technology Engineering and Mathematics Abomey Benin International Chair of Mathematical Physics and Applications (ICMPA-UNESCO Chair) University of Abomey-Calavi Abomey-Calavi Bnin

Hydrological models are developed to simulate river flows over a watershed for many practical applications in the field of water resource management. The present paper compares the performance of two recurrent neural networks for rainfall-runoff modeling in the Zou River basin at Atchérigbé outlet. To this end, we used daily precipitation data over the period 1988-2010 as input of the models, such as the Long Short-Term Memory (LSTM) and Recurrent Gate Networks (GRU) to simulate river discharge in the study area. The investigated models give good results in calibration (R2 = 0.888, NSE = 0.886, and RMSE = 0.42 for LSTM;R2 = 0.9, NSE = 0.9 and RMSE = 0.397 for GRU) and in validation (R2 = 0.865, NSE = 0.851, and RMSE = 0.329 for LSTM;R2 = 0.9, NSE = 0.865 and RMSE = 0.301 for GRU). This good performance of LSTM and GRU models confirms the importance of models based on machine learning in modeling hydrological phenomena for better decision-making.

关键词： Supervised Learning Modeling Zou Basin Long and Short-Term Memory Gated Recurrent Unit Hyperparameters Optimization

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Extreme Temperature Trends in the Beninese Niger River Basin (Benin)

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American Journal of Climate Change 2021年第4期10卷 371-385页

作者： Yarou Halissou Alamou Adéchina Eric Obada Ezéchiel Biao Ibukun Eliézer Chaire Internationale de Physique Mathématique et Application (CIPMA—CHAIRE UNESCO) Université d’Abomey-Calavi (UAC) Cotonou Benin Laboratoire de Géoscience de l’Environnement et Application (lagea/UNSTIM) Abomey Benin Ecole Nationale Supérieure des Travaux Publics (ENSTP) Université Nationale des Sciences Technologies Ingénierie et Mathématiques (UNSTIM) Abomey Benin Ecole Nationale Supérieure de Génie Mathématique et Modélisation Université Nationale des Sciences Technologies Ingénierie et Mathématiques (UNSTIM) Abomey Benin

In the context of climate change, the study of the variability of the climatic extremes in several regions of the world is of capital importance. This study has as main objective to analyze the variability of extreme temperature events in the Beninese basin of the Niger River for the recent and the near future. To achieve this objective, seven (07) extreme temperature indices based on historical daily temperature observations (1976 to 2019) and REMO RCM simulation outputs of RCP4.5 and RCP8.5 scenarios (2021-2050) were calculated. The obtained results were represented by calculating the means for each index and analyzing the trends and their significance by the Mann-Kendall method. The results show that the indices of extreme temperature intensity (TNn, TXx, and DTR), and those related to the frequency of warm sequences (WSDI, TN90p and TX90p) have experienced a significant increase in the past. This increase will continue until 2050. In contrast, the cold sequence frequency index (CSDI) decrease over the historical period as well as over the future period. These indices show much more change with the RCP8.5 scenario than with the RCP4.5 of the REMO climate model. Only the TXx and CSDI indices show statistically significant changes at all stations.

关键词： Temperatures Extreme Climatic Variations Beninese Niger River Basin

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History and Projection of Hydrological Droughts in the Benin Basin of the Niger River (Benin)

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Journal of Atmospheric Science Research 2022年第2期5卷 33-51页

作者： Yarou Halissou Alamou Adéchina Eric Biao Iboukoun Eliézer Obada Ezéchiel Tore Daniel Bio Afouda Abel International Chair of Mathematical Physics and Applications(ICMPA-UNESCO CHAIRE) University of Abomey-Calavi(UAC)CotonouBenin National School of Public Works(ENSTP) National University of SciencesTechnologiesEngineering and Mathematics(UNSTIM)AbomeyBenin National School of Mathematical Engineering and Modeling(ENSGMM) National University of SciencesTechnologiesEngineering and Mathematics(UNSTIM)AbomeyBenin Laboratory of Environmental Geoscience and Application(lagea/UNSTIM) Benin Applied Hydrology Laboratory(LHA) University of Abomey-Calavi(UAC)CotonouBP4521Benin West African Science Service Center on Climate Change and Adapted Land Use(WASCAL) GRP Climate Change and Water ResourcesUniversity of Abomey-Calavi(UAC)Abomey-CalaviBP2008Benin

In the context of a changing climate,the Beninese Niger River basin has been the focus of several research studies for the quantification,planning,and modeling of water and related resources for sustainable *** research aims to characterize the historical(1976-2019)and projected(2021-2050)hydrological drought of the Beninese Niger River *** study used daily observations of rainfall,maximum and minimum temperatures,runoff rates and simulations of HIRHAM and REMO RCMs from fifteen(15)rainfall stations installed around the *** uses standardized streamflow indices(SDI)at 12-month and 36-month time *** results show that the calculated SDI indices show,on average,for all the model scenarios used,chronological trends of *** increases are not significant(are of the order of 0.00001 per year).The analysis of the SDI indices shows that,on average,the hydrological droughts in the Beninese basin of the Niger River will increase at 36 months and decrease at 12 months of the *** fact,these small variations of hydrological droughts will be accompanied by the increase of their duration and the decrease of their mag*** droughts detected in the Benin basin of the Niger River during the historical period will continue until 2050 in the same range but with more extended drought *** should be noted that most of the changes observed in the calculated and analyzed indices are not significant.

关键词： Hydrological Drought SDI Beninese Niger river basin

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