A novel framework for peak flow estimation in the himalayan river basin by integrating SWAT model with machine learning based approach-Reference-Cited by-同舟云学术

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A novel framework for peak flow estimation in the himalayan river basin by integrating SWAT model with machine learning based approach

Published:2023-11-24 Issue:1 Volume:17 Page:211-226
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Raaj Saran,Gupta Vivek,Singh Vishal,Shukla Derick P.

Funder

Asia-Pacific Network for Global Change Research

Indian Institute of Technology Mandi

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12145-023-01163-9.pdf

Reference58 articles.

1. Aadhar S, Swain S, Rath DR (2019) Application and performance assessment of SWAT hydrological model over Kharun river basin, Chhattisgarh, India. In: World Environmental and Water Resources Congress 2019. Reston, VA: American Society of Civil Engineers, pp 272–280. https://doi.org/10.1061/9780784482339.028

2. Ahmadi M, Moeini A, Ahmadi H, Motamedvaziri B, Zehtabiyan GR (2019) Comparison of the performance of SWAT, IHACRES and artificial neural networks models in rainfall-runoff simulation (case study: Kan watershed, Iran). Phys Chem Earth 111:65–77. https://doi.org/10.1016/j.pce.2019.05.002

3. Almeida RA, Pereira SB, Pinto DBF (2018) Calibration and validation of the SWAT hydrological model for the Mucuri river basin. Engenharia Agricola 38(1):55–63. https://doi.org/10.1590/1809-4430-eng.agric.v38n1p55-63/2018

4. Amini, F, Hu, G (2021) A two-layer feature selection method using Genetic Algorithm and Elastic Net. Expert Systems with Applications, 166. https://doi.org/10.1016/j.eswa.2020.114072

5. Asl-Rousta B, Mousavi SJ, Ehtiat M, Ahmadi M (2018) SWAT-Based Hydrological Modelling Using Model Selection Criteria. Water Resour Manage 32(6):2181–2197. https://doi.org/10.1007/s11269-018-1925-5

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