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http://hdl.handle.net/10397/82214
| Title: | Predicting Standardized Streamflow index for hydrological drought using machine learning models | Authors: | Shamshirband, S Hashemi, S Salimi, H Samadianfard, S Asadi, E Shadkani, S Kargar, K Mosavi, A Nabipour, N Chau, KW |
Issue Date: | 2020 | Source: | Engineering applications of computational fluid mechanics, 2020, v. 14, no. 1, p. 339-350 | Abstract: | Hydrological droughts are characterized based on their duration, severity, and magnitude. Among the most critical factors, precipitation, evapotranspiration, and runoff are essential in modeling the droughts. In this study, three indices of drought, i.e., Standardized Precipitation Index (SPI), Standardized Streamflow Index (SSI), and Standardized Precipitation Evapotranspiration Index (SPEI), are modeled using Support Vector Regression (SVR), Gene Expression Programming (GEP), and M5 model trees (MT). The results indicate that SPI delivered higher accuracy. Moreover, MT model performed better in predicting SSI by a CC of 0.8195 and a RMSE of 0.8186. | Keywords: | Gene expression programming Hydrological drought M5 model tree Machine learning models Standardized streamflow index Support vector regression |
Publisher: | Taylor & Francis | Journal: | Engineering applications of computational fluid mechanics | ISSN: | 1994-2060 | EISSN: | 1997-003X | DOI: | 10.1080/19942060.2020.1715844 | Rights: | © 2020 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,distribution, and reproduction in any medium, provided the original work is properly cited The following publication Shahabbodin Shamshirband, Sajjad Hashemi, Hana Salimi, SaeedSamadianfard, Esmaeil Asadi, Sadra Shadkani, Katayoun Kargar, Amir Mosavi, Narjes Nabipour& Kwok-Wing Chau (2020) Predicting Standardized Streamflow index for hydrological droughtusing machine learning models, Engineering Applications of Computational Fluid Mechanics, 14:1,339-350 is available at https://dx.doi.org/10.1080/19942060.2020.1715844 |
| Appears in Collections: | Journal/Magazine Article |
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|---|---|---|---|---|
| Shamshirband_Bubble_Column_Reactor.pdf | 4.43 MB | Adobe PDF | View/Open |
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