Discharge and Nitrogen Transfer Modelling in the Berze River: A HYPE Setup and Calibration

Veinbergs, Artūrs; Lagzdiņš, Ainis; Jansons, Viesturs; Abramenko, Kaspars; Sudars, Ritvars

doi:10.1515/rtuect-2017-0005

Cited by 6 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Water quality models have been developed for these purposes. Examples include SWAT (Soil Water Assessment Tool) (Hu et al, 2007;Luo & Zhang, 2009;Rajib et al, 2020), HSPF (Hydrological Simulation Program -FORTRAN) (Filoso et al, 2004;Laroche et al, 1996), HYPE (Hydrological Predictions for the Environment) (Arheimer et al, 2012;Veinbergs et al, 2017), MIKE SHE (Système Hydrologique Européen) (Hou et al, 2021;Jaber & Shukla, 2012), and INCA (INtegrated CAtchment model) (Bastrup-Birk & Gundersen, 2004;Wade et al, 2002). Most of these existing water quality models focus on a limited number of defined reactions and solutes a priori and have limited flexibility of modifying included reactions.…”

Section: Introductionmentioning

confidence: 99%

BioRT-HBV 1.0: a Biogeochemical Reactive Transport Model at the Watershed Scale

Sadayappan,

Stewart,

Kerins

et al. 2024

Preprint

View full text Add to dashboard Cite

Reactive Transport Models (RTMs) are essential for understanding and predicting intertwined ecohydrological and biogeochemical processes on land and in rivers. While traditional RTMs have focused primarily on subsurface processes, recent RTMs integrate hydrological and biogeochemical interactions between land surface and subsurface. These emergent, watershed-scale RTMs are often spatially explicit and require large amount of data and extensive computational expertise. There is however a pressing need to create parsimonious models that require less data and are accessible to scientists with less computational background. Here we introduce BioRT-HBV 1.0 (hereafter BioRT), a watershed-scale, hydro-biogeochemical model that builds upon the widely used, bucket-type HBV model (Hydrologiska Bryåns Vattenavdelning), known for its simplicity and minimal data requirements. BioRT uses the conceptual structure and hydrology output of HBV to simulate processes including solute transport and biogeochemical reactions driven by reaction thermodynamics and kinetics. These reactions include, for example, chemical weathering, soil respiration, and nutrient transformation. This paper presents the model structure and governing equations, demonstrates its utility with examples simulating carbon and nitrogen processes in a headwater catchment. As shown in the examples, when constrained by data, BioRT can be used to illuminate the dynamics of biogeochemical reactions in the invisible, arduous-to-measure subsurface, and their connections to observed solute export in streams and rivers. We posit that such parsimonious models increase model accessibility to users without in-depth computational training. It also can serve as an educational tool that promote pollination of ideas across different fields and foster a more diverse, equal, and inclusive user community.

show abstract

Section: Introductionmentioning

confidence: 99%

BioRT-HBV 1.0: a Biogeochemical Reactive Transport Model at the Watershed Scale

Sadayappan,

Stewart,

Kerins

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The model parameters can transfer between similar HRUs (Kittel et al 2020), between catchments with similar characteristics (Hundecha et al 2016), or between neighboring tributaries (Kittel et al 2020). Our modeling experience involves the simulations of runoff and nutrient leaching processes (Abramenko et al 2013;Veinbergs et al 2017;Carolus et al 2020). The modeling results show weaknesses such as low density of streamflow gauging network and lack of information on soil physical parameters.…”

Section: Introductionmentioning

confidence: 99%

The impact of regional and catchment characteristics on long-term runoff in small agricultural catchments in Latvia

Veinbergs

Lagzdiņš

2022

Water Practice and Technology

View full text Add to dashboard Cite

The explanation of runoff behavior is challenging due to variable weather conditions, catchment characteristics. The parameter equifinality in catchment-scale models turns into the uncertain distribution of water balance components even though models tend to represent total runoff well. This study aims to discuss long-term runoff and evapotranspiration (ET) variations affected by regional allocation and catchment characteristics in Latvia. The study applies the observational runoff data from drainage fields and small catchment scales. The sites represent the spatially different regions in Latvia with relatively variable yearly precipitation amounts. The robust data of surface slope gradients, the share of subsurface drainage systems, arable and grasslands, and ditch networks describes the differences in the catchment characteristics. The results reveal that higher long-term yearly average runoff and ET rates experience the regions with higher yearly precipitation amounts. Simultaneously, as higher the long-term yearly average precipitation and steeper the surface slope gradient as proportionally (%) higher is the runoff contribution into the water balance. When compared with the small catchments, the soil profiles at drainage fields might store more water after the subsurface drainage runoff is running short. Consequently, the small catchments might experience the later response of subsurface drainage runoff after the dry seasons.

show abstract

“…This model simulates the discharge and other water quality parameters, such as dissolved organic carbon and transport/turnover of nutrients (nitrogen and phosphorus) on the catchment scale at daily time intervals [35]. This model was previously tested in different areas (e.g., Sweden, Germany, Europe, India and West Africa) with diverse hydro-climatic and physiographic conditions, and has been shown to reproduce measured discharge in a consistent manner (see [37][38][39][40][41][42][43][44]). However, discharge simulation and hydrological forecasting under a variety of stressors present a great challenge in the Mediterranean region (particularly in the Levant), where data availability is generally limited due to a low density of hydro-climatic monitoring networks and lack of longterm records (e.g., [45,46]).…”

Section: Introductionmentioning

confidence: 99%

Modelling of the Discharge Response to Climate Change under RCP8.5 Scenario in the Alata River Basin (Mersin, SE Turkey)

Yıldırım

Güler

Önol

et al. 2021

Water

View full text Add to dashboard Cite

This study investigates the impacts of climate change on the hydrological response of a Mediterranean mesoscale catchment using a hydrological model. The effect of climate change on the discharge of the Alata River Basin in Mersin province (Turkey) was assessed under the worst-case climate change scenario (i.e., RCP8.5), using the semi-distributed, process-based hydrological model Hydrological Predictions for the Environment (HYPE). First, the model was evaluated temporally and spatially and has been shown to reproduce the measured discharge consistently. Second, the discharge was predicted under climate projections in three distinct future periods (i.e., 2021–2040, 2046–2065 and 2081–2100, reflecting the beginning, middle and end of the century, respectively). Climate change projections showed that the annual mean temperature in the Alata River Basin rises for the beginning, middle and end of the century, with about 1.35, 2.13 and 4.11 °C, respectively. Besides, the highest discharge timing seems to occur one month earlier (February instead of March) compared to the baseline period (2000–2011) in the beginning and middle of the century. The results show a decrease in precipitation and an increase in temperature in all future projections, resulting in more snowmelt and higher discharge generation in the beginning and middle of the century scenarios. However, at the end of the century, the discharge significantly decreased due to increased evapotranspiration and reduced snow depth in the upstream area. The findings of this study can help develop efficient climate change adaptation options in the Levant’s coastal areas.

show abstract

Discharge and Nitrogen Transfer Modelling in the Berze River: A HYPE Setup and Calibration

Cited by 6 publications

References 10 publications

BioRT-HBV 1.0: a Biogeochemical Reactive Transport Model at the Watershed Scale

BioRT-HBV 1.0: a Biogeochemical Reactive Transport Model at the Watershed Scale

The impact of regional and catchment characteristics on long-term runoff in small agricultural catchments in Latvia

Modelling of the Discharge Response to Climate Change under RCP8.5 Scenario in the Alata River Basin (Mersin, SE Turkey)

Contact Info

Product

Resources

About