Hydrological modeling and uncertainty analysis for a snow-covered mountainous river basin-Reference-Cited by-同舟云学术

Hydrological modeling and uncertainty analysis for a snow-covered mountainous river basin

Published:2024-01-05 Issue:5 Volume:72 Page:3529-3545
ISSN:1895-7455
Container-title:Acta Geophysica
language:en
Short-container-title:Acta Geophys.

Author:

Gogineni Abhilash^ORCID,Chintalacheruvu Madhusudana Rao^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11600-023-01270-7.pdf

Reference30 articles.

1. Abbaspour KC (2011) SWAT-CUP: SWAT calibration and uncertainty programs-a user manual, vol 106. Swiss Federal Institute of Aquatic Science and Technology, Dübendorf

2. Abbaspour KC, Yang J, Maximov I, Siber R, Bogner K, Mieleitner J, Srinivasan R (2007) Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J Hydrol 333(2–4):413–430. https://doi.org/10.1016/j.jhydrol.2006.09.014

3. Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modelling and assessment part I: model development 1. JAWRA J Am Water Resour Assoc 34(1):73–89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x

4. Beven K (1993) Prophecy, reality and uncertainty in distributed hydrological modelling. Adv Water Resour 16(1):41–51. https://doi.org/10.1016/0309-1708(93)90028-E

5. Beven K, Binley A (1992) The future of distributed models: model calibration and uncertainty prediction. Hydrol Process 6(3):279–298. https://doi.org/10.1002/hyp.3360060305

Cited by 5 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. Impact of climate change on spatiotemporal patterns of snow hydrology: Conceptual frameworks, machine learning versus nested model;Physics and Chemistry of the Earth, Parts A/B/C;2024-12

2. Exploring climate change impacts on streamflow and hydropower potential: insights from a CMIP6 multi-GCM analysis;Journal of Water and Climate Change;2024-08-23

3. Predicting split tensile strength in Portland and geopolymer concretes using machine learning algorithms: a comparative study;Journal of Building Pathology and Rehabilitation;2024-08-17

4. Modelling of snow and glacier melt dynamics in a mountainous river basin using integrated SWAT and machine learning approaches;Earth Science Informatics;2024-07-03

5. Illuminating groundwater flow modeling uncertainty through spatial discretization and complexity exploration;Acta Geophysica;2024-05-16