Assessing a Regression-Based Regionalization Approach to Ungauged Sites with Various Hydrologic Models in a Forested Catchment in the Northeastern United States

Clark, Gordon E.; Ahn, Kuk‐Hyun; Palmer, Richard N.

doi:10.1061/(asce)he.1943-5584.0001582

Cited by 16 publications

(5 citation statements)

References 93 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It requires three input variables at the daily time step: precipitation, temperature, and potential evapotranspiration. For PUB studies, it has been widely used in semi-arid (Choubin et al, 2019;Lidén and Harlin, 2000;Love et al, 2010;Masih et al, 2010)and humid (Clark et al, 2017;Merz and Blöschl, 2004;Pool et al, 2017;Samuel et al, 2011;Seibert and Beven, 2009) regions. The model version used herein, modified by Parajka and Viglione (2012), includes snow routine, a soil routine, routing routine using the unit hydrograph, and a response function with three linear reservoir equations (Osuch et al, 2019).…”

Section: Hbv Rainfall-runoff Modelmentioning

confidence: 99%

Comparing spatial and temporal scales of hydrologic model parameter transfer: A guide to four climates of Iran

Jahanshahi

Melsen

Patil

et al. 2021

Journal of Hydrology

View full text Add to dashboard Cite

Section: Hbv Rainfall-runoff Modelmentioning

confidence: 99%

Comparing spatial and temporal scales of hydrologic model parameter transfer: A guide to four climates of Iran

Jahanshahi

Melsen

Patil

et al. 2021

Journal of Hydrology

View full text Add to dashboard Cite

“…Transferring calibrated watershed models to catchments without an available stream gauge remains an active research area, with numerous approaches such as flow duration curve analysis (Zhang et al, 2015), artificial neural networks (Besaw et al, 2010), and similarity of physical watershed characteristics (Clark et al, 2017). The direct transfer of calibrated model parameters has been shown to be an accepted method of simulating nearby ungauged catchments with similar physiographic characteristics (Kokkonen et al, 2003;Parajka et al, 2005).…”

Section: Model Transferabilitymentioning

confidence: 99%

Fuels treatment and wildfire effects on runoff from Sierra Nevada mixed‐conifer forests

et al. 2020

View full text Add to dashboard Cite

We applied an eco‐hydrologic model (Regional Hydro‐Ecologic Simulation System [RHESSys]), constrained with spatially distributed field measurements, to assess the impacts of forest‐fuel treatments and wildfire on hydrologic fluxes in two Sierra Nevada firesheds. Strategically placed fuels treatments were implemented during 2011–2012 in the upper American River in the central Sierra Nevada (43 km2) and in the upper Fresno River in the southern Sierra Nevada (24 km2). This study used the measured vegetation changes from mechanical treatments and modelled vegetation change from wildfire to determine impacts on the water balance. The well‐constrained headwater model was transferred to larger catchments based on geologic and hydrologic similarities. Fuels treatments covered 18% of the American and 29% of the Lewis catchment. Averaged over the entire catchment, treatments in the wetter central Sierra Nevada resulted in a relatively light vegetation decrease (8%), leading to a 12% runoff increase, averaged over wet and dry years. Wildfire with and without forest treatments reduced vegetation by 38% and 50% and increased runoff by 55% and 67%, respectively. Treatments in the drier southern Sierra Nevada also reduced the spatially averaged vegetation by 8%, but the runoff response was limited to an increase of less than 3% compared with no treatment. Wildfire following treatments reduced vegetation by 40%, increasing runoff by 13%. Changes to catchment‐scale water‐balance simulations were more sensitive to canopy cover than to leaf area index, indicating that the pattern as well as amount of vegetation treatment is important to hydrologic response.

show abstract

“…A number of modeling techniques have been enhanced by utilising the regionalization process, which transfers data from gauged areas to those where gauges are absent, in order to improve regular estimates of streamflow in lacking-gauge basins (Razavi and Coulibaly, 2016). Evidently, rather than relying on empirical equations, these methods are predominantly included in hydrological models (Clark et al, 2017). Nevertheless, the SPHY model offers a thorough solution and incorporates dispersed features that are helpful for simulating endless unmeasured discharge states.…”

Section: Introductionmentioning

confidence: 99%

Flow Transfer through Spatially Distributed Hydrological (SPHY) Model in Tamakoshi River Basin of Nepal

Budhathoki,

Adhikari,

Shrestha

et al. 2023

J. Hydrol. and Meteorol.

View full text Add to dashboard Cite

The availability of continuous hydrological records, both spatially and temporally, is often limited. This research employed a fully distributed Spatial Process in HYdrology (SPHY) model within the Tamakoshi River Basin to address this gap. The SPHY model was calibrated from 2004 to 2008 with NSE 0.62 at Busti station of Tamakoshi [2933.29 km2] and validated from 2004 to 2008 with NSE 0.76 at Rasnalu station of Khimti [322.58 km2]. Conversely, SPHY model was calibrated from 2004 to 2008 with NSE 0.79 at Rasnalu station of Khimti and validated from 2004 to 2008 with NSE 0.61 at Busti station of Tamakoshi. The observed annual average discharge at Busti station was 1632 m3 /s and Rasnalu station was 261 m3 /s during the simulation period. The annual average discharges at Benighat [862.09 km2 downstream] transferred from Busti and Rasnalu models are 1963.1 m3 /s and 1961.32 m3 /s, respectively. Daily streamflow generated at Benighat from Busti and Rasnalu stations, closely aligns and perfectly matches and highly correlates, with the coefficient of determination 0.99. SPHY model is a good technique for prediction of flows in ungauged basins of Himalayan region. The SPHY model emerges as a robust technique for predicting discharge within the Himalayan River basin. This research holds the potential to serve as a valuable reference for generating streamflow data at ungauged locations, that are vital for planning, management and development of water resource projects.

show abstract

Assessing a Regression-Based Regionalization Approach to Ungauged Sites with Various Hydrologic Models in a Forested Catchment in the Northeastern United States

Cited by 16 publications

References 93 publications

Comparing spatial and temporal scales of hydrologic model parameter transfer: A guide to four climates of Iran

Comparing spatial and temporal scales of hydrologic model parameter transfer: A guide to four climates of Iran

Fuels treatment and wildfire effects on runoff from Sierra Nevada mixed‐conifer forests

Flow Transfer through Spatially Distributed Hydrological (SPHY) Model in Tamakoshi River Basin of Nepal

Contact Info

Product

Resources

About