Article detail · 2019 · article
Performance Enhancement of a Conceptual Hydrological Model by Integrating Artificial Intelligence
Data source split
- YÖKSİSYÖKSİS article record
- YÖKSİS venueAmerican Society of Civil Engineers (ASCE)
- Catalog match (ISSN)Journal of Hydrologic Engineering - ASCE
- OpenAlexOpenAlex enrichment (abstract, citations, topics)
- Semantic Scholarcitation count (not merged with OpenAlex)
Abstract
A daily rainfall-runoff model has been improved by the integration of artificial neural network (ANN) and genetic algorithm (GA). The integrations are carried out on the daily rainfall-runoff model Génie rural à 4 paramètres journalier (GR4J). GR4J consists of production and routing storages. The production storage has only one process parameter and the routing storage has three. The ANN integration eliminates the three routing parameters. Automatic calibration capability has been added to the new hybrid model by integrating GA. The new hybrid model, which uses antecedent rainfall and temperature series, is applied to the Gediz River Basin in western Turkey. The results reveal that the hybrid model has better prediction performance than the original GR4J as well as the single ANN–based runoff prediction model.
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Citations
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47citationsOpenAlex · cited_by_count (cache / database)
16 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- 2021 Embedding machine learning techniques into a conceptual model to improve monthly runoff simulation: A nested hybrid rainfall-runoff modelingCitations 97 · OpenAlex
- 2021 Embedding machine learning techniques into a conceptual model to improve monthly runoff simulation: A nested hybrid rainfall-runoff modelingCitations 97 · OpenAlex
- 2021 Embedding machine learning techniques into a conceptual model to improve monthly runoff simulation: A nested hybrid rainfall-runoff modelingCitations 97 · OpenAlex
- 2024 Hourly rainfall-runoff modelling by combining the conceptual model with machine learning models in mostly karst Ljubljanica River catchment in SloveniaCitations 24 · OpenAlex
- 2022 New hybrid GR6J-wavelet-based genetic algorithm-artificial neural network (GR6J-WGANN) conceptual-data-driven model approaches for daily rainfall–runoff modellingCitations 19 · OpenAlex
- 2023 A novel fully hybrid simulation-optimization approach for enhancing the calibration and verification performance of the TUW hydrological modelCitations 8 · OpenAlex
- 2022 Two integrated conceptual–wavelet-based data-driven model approaches for daily rainfall–runoff modellingCitations 8 · OpenAlex
- 2025 A multi-step strategy for enhancing the rainfall-runoff modeling: combination of lumped and artificial intelligence-based hydrological modelsCitations 7 · OpenAlex
- 2022 Effect of Model Structure and Calibration Algorithm on Discharge Simulation in the Acısu Basin, TurkeyCitations 5 · OpenAlex
- 2022 Effect of Model Structure and Calibration Algorithm on Discharge SimulationCitations 3 · OpenAlex