Investigating uniqueness and identifiability in auto-calibration of the ARNO daily rainfall-runoff model using the PSO algorithm-Reference-Cited by-同舟云学术

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Investigating uniqueness and identifiability in auto-calibration of the ARNO daily rainfall-runoff model using the PSO algorithm

Published:2020-06-08 Issue:4 Volume:19 Page:481-492
ISSN:1571-5124
Container-title:International Journal of River Basin Management
language:en
Short-container-title:International Journal of River Basin Management

Author:

Ensaniyat Nima H.¹,Shahkarami Nazanin²^ORCID,Jafarinia Reza³,Rezaei Jaleh⁴

Affiliation:

1. Department of Civil Engineering, Islamic Azad University of Arak, Arak, Iran

2. Department of Civil Engineering, Arak University, Arak, Iran

3. Department of Water Engineering, Islamic Azad University of Arak, Arak, Iran

4. Department of Mathematics, Islamic Azad University Central Tehran Branch, Tehran, Iran

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15715124.2020.1760290

Reference35 articles.

1. Uniqueness of place and process representations in hydrological modelling

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of A Distributed Modeling Framework Considering Spatiotemporally Varying Hydrological Processes for Sub-Daily Flood Forecasting in Semi-Humid and Semi-Arid Watersheds;Water Resources Management;2024-04-24

2. Reducing Predictive Uncertainty in Real-Time Reservoir Operations by Coupling LARS-WG with ARNO Continuous Rainfall–Runoff Model;Journal of Hydrologic Engineering;2021-10

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