Articles | Volume 20, issue 2
https://doi.org/10.5194/hess-20-669-2016
https://doi.org/10.5194/hess-20-669-2016
Research article
 | 
11 Feb 2016
Research article |  | 11 Feb 2016

Comparing statistical and process-based flow duration curve models in ungauged basins and changing rain regimes

M. F. Müller and S. E. Thompson

Related authors

Spatial characterization of long-term hydrological change in the Arkavathy watershed adjacent to Bangalore, India
Gopal Penny, Veena Srinivasan, Iryna Dronova, Sharachchandra Lele, and Sally Thompson
Hydrol. Earth Syst. Sci., 22, 595–610, https://doi.org/10.5194/hess-22-595-2018,https://doi.org/10.5194/hess-22-595-2018, 2018
Short summary
Proximate and underlying drivers of socio-hydrologic change in the upper Arkavathy watershed, India
Veena Srinivasan, Gopal Penny, Sharachchandra Lele, Bejoy K. Thomas, and Sally Thompson
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-543,https://doi.org/10.5194/hess-2017-543, 2017
Revised manuscript has not been submitted
Short summary
Event-scale power law recession analysis: quantifying methodological uncertainty
David N. Dralle, Nathaniel J. Karst, Kyriakos Charalampous, Andrew Veenstra, and Sally E. Thompson
Hydrol. Earth Syst. Sci., 21, 65–81, https://doi.org/10.5194/hess-21-65-2017,https://doi.org/10.5194/hess-21-65-2017, 2017
Short summary
Moving sociohydrology forward: a synthesis across studies
T. J. Troy, M. Konar, V. Srinivasan, and S. Thompson
Hydrol. Earth Syst. Sci., 19, 3667–3679, https://doi.org/10.5194/hess-19-3667-2015,https://doi.org/10.5194/hess-19-3667-2015, 2015
TopREML: a topological restricted maximum likelihood approach to regionalize trended runoff signatures in stream networks
M. F. Müller and S. E. Thompson
Hydrol. Earth Syst. Sci., 19, 2925–2942, https://doi.org/10.5194/hess-19-2925-2015,https://doi.org/10.5194/hess-19-2925-2015, 2015
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Comment on “Are soils overrated in hydrology?” by Gao et al. (2023)
Ying Zhao, Mehdi Rahmati, Harry Vereecken, and Dani Or
Hydrol. Earth Syst. Sci., 28, 4059–4063, https://doi.org/10.5194/hess-28-4059-2024,https://doi.org/10.5194/hess-28-4059-2024, 2024
Short summary
Multi-decadal fluctuations in root zone storage capacity through vegetation adaptation to hydro-climatic variability have minor effects on the hydrological response in the Neckar River basin, Germany
Siyuan Wang, Markus Hrachowitz, and Gerrit Schoups
Hydrol. Earth Syst. Sci., 28, 4011–4033, https://doi.org/10.5194/hess-28-4011-2024,https://doi.org/10.5194/hess-28-4011-2024, 2024
Short summary
Projected future changes in the cryosphere and hydrology of a mountainous catchment in the upper Heihe River, China
Zehua Chang, Hongkai Gao, Leilei Yong, Kang Wang, Rensheng Chen, Chuntan Han, Otgonbayar Demberel, Batsuren Dorjsuren, Shugui Hou, and Zheng Duan
Hydrol. Earth Syst. Sci., 28, 3897–3917, https://doi.org/10.5194/hess-28-3897-2024,https://doi.org/10.5194/hess-28-3897-2024, 2024
Short summary
On the importance of plant phenology in the evaporative process of a semi-arid woodland: could it be why satellite-based evaporation estimates in the miombo differ?
Henry M. Zimba, Miriam Coenders-Gerrits, Kawawa E. Banda, Petra Hulsman, Nick van de Giesen, Imasiku A. Nyambe, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 28, 3633–3663, https://doi.org/10.5194/hess-28-3633-2024,https://doi.org/10.5194/hess-28-3633-2024, 2024
Short summary
Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil
Louise Akemi Kuana, Arlan Scortegagna Almeida, Emílio Graciliano Ferreira Mercuri, and Steffen Manfred Noe
Hydrol. Earth Syst. Sci., 28, 3367–3390, https://doi.org/10.5194/hess-28-3367-2024,https://doi.org/10.5194/hess-28-3367-2024, 2024
Short summary

Cited articles

Alaouze, C. M.: Reservoir releases to uses with different reliability requirements, AWRA Water Resour. Bull., 25, 1163–1168, 1989.
Alternative Energy Promotion Center: Construction and Installation Manual for Micro Hydropower Project Installers, Government of Nepal, 2014 (in Nepalese).
Arora, M., Goel, N., Singh, P., and Singh, R.: Regional flow duration curve for a Himalayan river Chenab, Nord. Hydrol., 36, 193–206, 2005.
Basso, S. and Botter, G.: Streamflow variability and optimal capacity of run-of-river hydropower plants, Water Resour. Res., 48, W10527, https://doi.org/10.1029/2012WR012017, 2012.
Bélisle, C. J.: Convergence theorems for a class of simulated annealing algorithms on Rd, J. Appl. Probab., 29, 885–895, 1992.
Download
Short summary
We compare a stochastic (process-based) and statistical (data-based) method to predict flow duration curves in ungauged basins, under stationary and non-stationary conditions, and using Nepal as a case study. Both methods worked well in stationary conditions, with performances driven by the main source of runoff heterogeneity (climate vs. recession). The stochastic model worked better under change, and the performance of the statistical model was determined by the resilience of the flow regime.