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Добірка наукової літератури з теми "GR4JSG model"

Автор: Grafiati

Опубліковано: 6 вересня 2023

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Статті в журналах з теми "GR4JSG model"

He, Shaokun, Lei Gu, Jing Tian, Lele Deng, Jiabo Yin, Zhen Liao, Ziyue Zeng, Youjiang Shen, and Yu Hui. "Machine Learning Improvement of Streamflow Simulation by Utilizing Remote Sensing Data and Potential Application in Guiding Reservoir Operation." Sustainability 13, no. 7 (March 25, 2021): 3645. http://dx.doi.org/10.3390/su13073645.

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Hydro-meteorological datasets are key components for understanding physical hydrological processes, but the scarcity of observational data hinders their potential application in poorly gauged regions. Satellite-retrieved and atmospheric reanalysis products exhibit considerable advantages in filling the spatial gaps in in-situ gauging networks and are thus forced to drive the physically lumped hydrological models for long-term streamflow simulation in data-sparse regions. As machine learning (ML)-based techniques can capture the relationship between different elements, they may have potential in further exploring meteorological predictors and hydrological responses. To examine the application prospects of a physically constrained ML algorithm using earth observation data, we used a short-series hydrological observation of the Hanjiang River basin in China as a case study. In this study, the prevalent modèle du Génie Rural à 9 paramètres Journalier (GR4J-9) hydrological model was used to initially simulate streamflow, and then, the simulated series and remote sensing data were used to train the long short-term memory (LSTM) method. The results demonstrated that the advanced GR4J9–LSTM model chain effectively improves the performance of the streamflow simulation by using more remote sensing data related to the hydrological response variables. Additionally, we derived a reservoir operation model by feeding the LSTM-based simulation outputs, which further revealed the potential application of our proposed technique.

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Zeng, Ling, Lihua Xiong, Dedi Liu, Jie Chen, and Jong-Suk Kim. "Improving Parameter Transferability of GR4J Model under Changing Environments Considering Nonstationarity." Water 11, no. 10 (September 28, 2019): 2029. http://dx.doi.org/10.3390/w11102029.

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Hydrological nonstationarity has brought great challenges to the reliable application of conceptual hydrological models with time-invariant parameters. To cope with this, approaches have been proposed to consider time-varying model parameters, which can evolve in accordance with climate and watershed conditions. However, the temporal transferability of the time-varying parameter was rarely investigated. This paper aims to investigate the predictive ability and robustness of a hydrological model with time-varying parameter under changing environments. The conceptual hydrological model GR4J (Génie Rural à 4 paramètres Journalier) with only four parameters was chosen and the sensitive parameters were treated as functions of several external covariates that represent the variation of climate and watershed conditions. The investigation was carried out in Weihe Basin and Tuojiang Basin of Western China in the period from 1981 to 2010. Several sub-periods with different climate and watershed conditions were set up to test the temporal parameter transferability of the original GR4J model and the GR4J model with time-varying parameters. The results showed that the performance of streamflow simulation was improved when applying the time-varying parameters. Furthermore, in a series of split-sample tests, the GR4J model with time-varying parameters outperformed the original GR4J model by improving the model robustness. Further studies focus on more diversified model structures and watersheds conditions are necessary to verify the superiority of applying time-varying parameters.

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Hublart, P., D. Ruelland, I. García De Cortázar Atauri, and A. Ibacache. "Reliability of a conceptual hydrological model in a semi-arid Andean catchment facing water-use changes." Proceedings of the International Association of Hydrological Sciences 371 (June 12, 2015): 203–9. http://dx.doi.org/10.5194/piahs-371-203-2015.

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Abstract. This paper explores the reliability of low-flow simulations by conceptual models in a semi-arid, Andean catchment (30° S) facing climate variability and water-use changes. Depending on water availability, a significant part of surface water resources are diverted to meet irrigation requirements. In return, these water withdrawals are likely to influence the hydrological behavior of the catchment. The value of model-based analyses thus relies on our ability to adequately represent the complex interactions between climate variability, human-induced flow perturbations and crop water use. In this study, a parsimonious hydrological model (GR4J) including a snow routine was combined with a model of irrigation water-use (IWU) to provide a new, 6-parameter model of the catchment behavior (called GR4J/IWU). The original, 4-parameter GR4J model and the 6-parameter GR6J model were also used as benchmarks to evaluate the usefulness of explicitly accounting for water abstractions. Calibration and validation of these three models were performed successively over two different 5-year periods representing contrasted water-use and climate conditions. Overall, the GR4J/IWU model provided better simulations than the GR4J and GR6J models over both periods. Further research is required to quantify the predictive uncertainty associated with model structures, parameters and inputs.

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Hughes, Justin, Nick Potter, Lu Zhang, and Robert Bridgart. "Conceptual Model Modification and the Millennium Drought of Southeastern Australia." Water 13, no. 5 (March 1, 2021): 669. http://dx.doi.org/10.3390/w13050669.

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Long-term droughts observed in southern Australia have changed relationships between annual rainfall and runoff and tested some of the assumptions implicit in rainfall–runoff models used in these areas. Predictive confidence across these periods is when low using the more commonly used rainfall–runoff models. Here we modified the GR4J model to better represent surface water–groundwater connection and its role in runoff generation. The modified model (GR7J) was tested in 137 catchments in south-east Australia. Models were calibrated during “wetter” periods and simulation across drought periods was assessed against observations. GR7J performed better than GR4J in evaluation during drought periods where bias was significantly lower and showed improved fit across the flow duration curve especially at low flows. The largest improvements in predictive performance were for catchments where there were larger changes in the annual rainfall–runoff relationship. The predictive performance of the GR7J model was more sensitive to objective function used than GR4J. The use of an objective function that combined daily and annual error produced a better goodness of fit when measured against 80, 50 and 20 percent excedance flow quantiles and reduced evaluation bias, especially for the GR7J model.

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Massmann, Carolina. "Supporting M5 model trees with sensitivity information derived from conceptual hydrological models." Journal of Hydroinformatics 17, no. 6 (August 6, 2015): 943–58. http://dx.doi.org/10.2166/hydro.2015.111.

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The main objective of this paper is assessing the usefulness of parameter sensitivity information from conceptual hydrological models for data-driven models, an approach which might allow us to take advantage of the strengths of both data-based and process-based models. This study uses the parameter sensitivity of three widely used conceptual hydrological models (GR4J, Hymod and SAC-SMA) and combines them with M5 model trees. The study was carried out for three case studies dealing with different problems to which model trees are applied: one using model trees as error correctors and two case studies in which model trees were used as rainfall–runoff models and which differ in how the sensitivity information is used. The results show that sensitivity time series can improve the predictions of M5 model trees, especially when they do not include the time series of previous discharge as predictor variables. The use of parameter sensitivity information for clustering the time series resulted in model trees that had a structure consistent with the hydrological processes that were taking place in the considered cluster, indicating that the use of sensitivity indices could be a viable way of introducing hydrological knowledge into data-based models.

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Shin, Mun-Ju, and Chung-Soo Kim. "Component Combination Test to Investigate Improvement of the IHACRES and GR4J Rainfall–Runoff Models." Water 13, no. 15 (August 2, 2021): 2126. http://dx.doi.org/10.3390/w13152126.

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Rainfall–runoff models are not perfect, and the suitability of a model structure depends on catchment characteristics and data. It is important to investigate the pros and cons of a rainfall–runoff model to improve both its high- and low-flow simulation. The production and routing components of the GR4J and IHACRES models were combined to create two new models. Specifically, the GR_IH model is the combination of the production store of the GR4J model and the routing store of the IHACRES model (vice versa in the IH_GR model). The performances of the new models were compared to those of the GR4J and IHACRES models to determine components improving the performance of the two original models. The suitability of the parameters was investigated with sensitivity analysis using 40 years’ worth of spatiotemporally different data for five catchments in Australia. These five catchments consist of two wet catchments, one intermediate catchment, and two dry catchments. As a result, the effective rainfall production and routing components of the IHACRES model were most suitable for high-flow simulation of wet catchments, and the routing component improved the low-flow simulation of intermediate and one dry catchments. Both effective rainfall production and routing components of the GR4J model were suitable for low-flow simulation of one dry catchment. The routing component of the GR4J model improved the low- and high-flow simulation of wet and dry catchments, respectively, and the effective rainfall production component improved both the high- and low-flow simulations of the intermediate catchment relative to the IHACRES model. This study provides useful information for the improvement of the two models.

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Sezen, C., and T. Partal. "The utilization of a GR4J model and wavelet-based artificial neural network for rainfall–runoff modelling." Water Supply 19, no. 5 (November 29, 2018): 1295–304. http://dx.doi.org/10.2166/ws.2018.189.

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Abstract Data-driven models and conceptual models have been utilized in an attempt to perform rainfall–runoff modelling. The aim of this study is comparing the performance of an artificial neural network (ANN) model, wavelet-based artificial neural network (WANN) model and GR4J lumped daily conceptual model for rainfall–runoff modelling of two rivers in the USA. It was obtained that the performance of the data-driven models (ANN, WANN) is better than the GR4J model especially when streamflow data the preceding day (Qt-1) and streamflow data the preceding two days (Qt-2) are used as input data in the ANN and WANN models for the simulation of low and high flows, in particular. On the other hand, when only precipitation and potential evapotranspiration data are used as input variables, the GR4J model performs better than the data-driven models.

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Im, Sung Soo, Do Guen Yoo, and Joong Hoon Kim. "Improvement of GR4J Model Applying Soil Moisture Accounting Process and Its Application in Korea Basin." Journal of Korean Society of Hazard Mitigation 12, no. 3 (June 30, 2012): 255–62. http://dx.doi.org/10.9798/kosham.2012.12.3.255.

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Oueldkaddour, Fatima-Zehrae Elhallaoui, Fatima Wariaghli, Hassane Brirhet, and Ahmed Yahyaoui. "Hydrological modeling of rainfall-runoff of the semi-arid Aguibat Ezziar watershed through the GR4J model." Limnological Review 21, no. 3 (September 1, 2021): 119–26. http://dx.doi.org/10.2478/limre-2021-0011.

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Abstract The management of water resources requires as a first step the modeling of rainfall-runoff. It allows simulating the hydrological behavior of the basin for a good evaluation of the potentiality of this in terms of water production. There are different hydrological models used for water resource assessment, but conceptual models are still the most used due to their simple structure and satisfactory performance. In this study, t he performances of the conceptual model of rainfall and runoff (GR4J) modeled under R with the AirGR package, are used to Aguibat Ezziar the subbasin of the Bouregreg basin in Morocco. The enormous amount of data required and the uncertainty of some of the m makes these models of limited usefulness. The GR4J model allows evaluation of the runoff rates and describes the hydrological behavior of the Aguibat Ezziar watershed, which presents the aim behind writing this paper. A period from 2003 to 2017 has been selected. This period has been divided into two parts: one for calibration (2003-2006), and one for validation (2013-2016). After the calibration of the model and following the performance obtained (Nash higher than 0.72) we can say that the GR4J model behaves well in the Aguibat Ezziar catchment area.

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Kodja, Domiho Japhet, Arsène J. Sègla Akognongbé, Ernest Amoussou, Gil Mahé, E. Wilfrid Vissin, Jean-Emmanuel Paturel, and Constant Houndénou. "Calibration of the hydrological model GR4J from potential evapotranspiration estimates by the Penman-Monteith and Oudin methods in the Ouémé watershed (West Africa)." Proceedings of the International Association of Hydrological Sciences 383 (September 16, 2020): 163–69. http://dx.doi.org/10.5194/piahs-383-163-2020.

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Abstract. The Ouémé watersheds at Bétérou and Bonou has been recently facing increased sensitivity to extreme hydroclimatic phenomena that occurred by flooding or drought events. In the same time, the population growth and the related socio-economic activities increased the pressure state on water resources. In this context, hydrological modeling is an important issue and this study aims at analyzing the calibration of the hydrological model GR4J based on PET Penman-Monteith and Oudin methods. Daily rainfall, Penman-Monteith and Oudin evapotranspiration and daily data flow from the Bétérou and Bonou hydrometric stations on the Ouémé Basin have been implemented in the GR4J model over the period 1971 to 2010. Oudin PET values are slightly higher than the Penman-Monteith PET ones. However, the difference between the two PET methods have only few impacts on the optimization and performance criteria of the GR4J model. The Nash values ranges from 0.83 to 0.91 in Bonou, and 0.52 to 0.70 in Bétérou for the calibration in dry period, while in validation, they are 0.59 to 0.78 in Bétérou, and 0.56 to 0.88 in Bonou in wet season. In view of these results, with the two PET methods used which do not result from the same climatic variables, it should be said that the formulation of PET has only few impacts on the results of GR4J for these tropical basins.

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Більше джерел

Дисертації з теми "GR4JSG model"

López, Mella Daniel Marcelo. "Análisis y Aplicación del Modelo GR4J para Estimación de Caudales Medios Diarios en Cuencas Pluviales de Chile." Tesis, Universidad de Chile, 2007. http://www.repositorio.uchile.cl/handle/2250/104505.

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MAKHLOUF, ZOUBIR. "Complements sur le modele pluie-debit gr4j et essai d'estimation de ses parametres." Paris 11, 1994. http://www.theses.fr/1994PA112384.

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L'explication des parametres d'un modele pluie-debit est un element de la comprehension des ecoulements et une necessite pour une utilisation sur des bassins non-jauges. Nous avons montre que la parcimonie des parametres etait conciliable avec cet objectif en utilisant un modele a quatre parametres gr4j. Nous avons explore trois voies d'approche qui nous semblent prometteuses. D'abord nous avons exploite le lien qui pouvait exister entre parametres du modele gr4j et certaines variables classiques en hydrologie qui correspondent aux trois grands aspects de l'ecoulement (crue, ecoulement annuel et etiage). Ces variables ont, en effet, ete l'objet de nombreuses tentatives d'explication a partir des variables physiques des bassins versants. Une autre approche consiste a aborder le probleme sur un plan regional ou des caracteristiques physiques des bassins sont plus faciles a trouver. On a pu montrer dans le cas de la region bretagne et du bassin de la moselle que cette voie permet d'aboutir, avec des explications partielles de certains parametres du modele, les autres etant fixes au niveau de leur moyenne regionale. Le phenomene neigeux pouvant gener le calage du modele sur les bassins de la moselle, un traitement sommaire a ete mis en uvre en utilisant uniquement l'information du code de validite accompagnant les donnees de precipitation. Une conclusion surprenante a ete qu'il convenait d'effectuer une majoration (a optimiser) de la precipitation pour obtenir une amelioration. Une derniere voie a ete est de proceder avec une etape intermediaire, celle de resoudre le meme probleme d'explication des parametres mais pour un modele similaire plus simple (pas de temps mensuel). Apres de nombreux essais, nous sommes parvenus a un modele mensuel extremement simple (gr2m a deux parametres). Ce modele se comporte presque aussi bien que le meilleur modele existant actuellement (modele de thomas a quatre parametres). Deux parametres du modele journalier sont assez bien lies aux deux parametres du modele gr2m. On peut penser que le modele gr2m, plus facile a regionaliser que le modele gr4j comme son application a la bretagne le laisse supposer, peut servir d'intermediaire pour expliquer les parametres de gr4j

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Salvatierra, Seguel César Eduardo. "Determinación de la Incertidumbre en la Aplicación del Modelo de Simulación Hidrológica GR4J, en Cuencas Pluviales no Controladas en Chile." Tesis, Universidad de Chile, 2008. http://repositorio.uchile.cl/handle/2250/104900.

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Dada la continua necesidad de establecer técnicas que permitan asesorar un desarrollo sustentable de la gestión de recursos hídricos, la modelación hidrológica como alternativa descriptiva de las leyes y principios que gobiernan los fenómenos naturales se hace indispensable en los tiempos actuales. El estudio y cuantificación de la incertidumbre asociada a las simulaciones que los modelos hacen de la realidad, resultan indispensables para establecer los verdaderos alcances de un modelo hidrológico en particular. En este trabajo, se aborda el estudio de la incertidumbre asociada a los parámetros operacionales del modelo GR4J, al aplicar éste para cuencas no controladas en Chile. Se trabaja con 8 cuencas pluviales de la zona centro sur de Chile, sobre las cuales se realiza la calibración y validación del modelo, lo que provee de una base da datos con los parámetros que permiten el funcionamiento correcto del modelo GR4J en dichas cuencas. Posteriormente, a partir de parámetros geomorfológicos de estas cuencas, se procede a presentar índices geomorfológicos que permiten una estimación de los parámetros del modelo considerando sólo las características geomorfológicas de la cuenca, para de esta manera lograr una estimación de los parámetros de análisis sin necesidad de utilizar información fluviométrica observada. Para el análisis de incertidumbre en las cuencas no controladas, se utilizan las cuencas Cauquenes en el Arrayán y Lebu en Las Corrientes, que si bien es cierto son cuencas controladas, se utilizan los índices geomorfológicos generados para estimar los parámetros operacionales del modelo GR4J, y de esta manera realizar el análisis comparativo de la sensibilidad de los parámetros del modelo con respecto al caudal observado para las cuencas escogidas. Los caudales generados a partir de los índices geomorfológicos generan aproximaciones aceptables de la realidad, presentando una banda de incertidumbre general que abarca tanto los mayores caudales medios mensuales observados como los menores, estando gran porcentaje de esta incertidumbre asociada a la sensibilidad del parámetro que operacional que describe las transferencias hídricas subterráneas con la superficie. De lo anterior resulta la obtención de porcentajes de las bandas de incertidumbre, con respecto a los caudales generados a partir del valor esperado entregado por los índices geomorfológicos que no superan el 2% en relación al tiempo base del hidrograma unitario UH1, y de un 36% en relación a la capacidad máxima para el tránsito en canales.

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Rawat, Shiv Singh. "Integrated water resource assessment of irrigation system of Haryana." Thesis, 2018. http://localhost:8080/iit/handle/2074/7610.

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Тези доповідей конференцій з теми "GR4JSG model"

"Water yield assessment for major river basins of Afghanistan using GR4J and GR4JSG models." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.karim636.

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"Comparative performance of GR4JSG and J2000 hydrological models in the Dudh Koshi catchment of the Himalayan region." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.l13.nepal.

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"The influence of different objective functions in GR4J model-on-model performance for streamflow forecasting application." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.nguyen546.

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"Evaluation of Simhyd, Sacramento and GR4J rainfall runoff models in two contrasting Great Barrier Reef catchments." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.l22.zhang.

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Ticona Flores, Mario Antonio, Jorge Dionicio Valarezo Loaiza, Abel Carmona Arteaga, and Edmundo Vereau Miranda. "Daily flow generation using the GR4j model and ERA5 gridded climatic information in the Jequetepeque basin up to the Yonán station." In 21st LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”. Latin American and Caribbean Consortium of Engineering Institutions, 2023. http://dx.doi.org/10.18687/laccei2023.1.1.182.

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Córdova Flores, Marvin Paul, Andrea Falero Alama, Abel Carmona Arteaga, and Edmundo Vereau Miranda. "Generation of daily flows using the GR4j model and the ERA5 gridded climatic product in the Crisnejas basin up to the Puente Crisnejas hydrometric station." In 21st LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”. Latin American and Caribbean Consortium of Engineering Institutions, 2023. http://dx.doi.org/10.18687/laccei2023.1.1.181.

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Arias-Reátegui, Gabriela Alejandra, Alessandra Joseline Bazalar-Delgado, Abel Carmona-Arteaga, and Neicer Campos-Vasquez. "Application of the GR4j hydrological model for the estimation of daily flows using the ERA5 gridded data set in the Zaña river basin up to the Batan hydrometric station." In 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions”. Latin American and Caribbean Consortium of Engineering Institutions, 2022. http://dx.doi.org/10.18687/laccei2022.1.1.175.

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