A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model
Open accessAbstract
A combination of driving forces are increasing pressure on local, national, and regional water supplies needed for irrigation, energy production, industrial uses, domestic purposes, and the environment. In many parts of Europe groundwater quantity, and in particular quality, have come under sever degradation and water levels have decreased resulting in negative environmental impacts. Rapid improvements in the economy of the eastern European block of countries and uncertainties with regard to freshwater availability create challenges for water managers. At the same time, climate change adds a new level of uncertainty with regard to freshwater supplies. In this research we build and calibrate an integrated hydrological model of Europe using the Soil and Water Assessment Tool (SWAT) program. Different components of water resources are simulated and crop yield and water quality are considered at the Hydrological Response Unit (HRU) level. The water resources are quantified at subbasin level with monthly time intervals. Leaching of nitrate into groundwater is also simulated at a finer spatial level (HRU). The use of large-scale, high-resolution water resources models enables consistent and comprehensive examination of integrated system behavior through physically-based, data-driven simulation. In this article we discuss issues with data availability, calibration of large-scale distributed models, and outline procedures for model calibration and uncertainty analysis. The calibrated…
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At Vijayawada gauging station, p-factor was 0.62 and r-factor was 1.06, considered satisfactory.
“In the present study, the p-factor and r-factor values at the Vijayawada gauging station were observed as 0.62 and 1.06, respectively, and were considered satisfactory (Abbaspour et al. 2015).”
From Catchment response to climate change under CMIP6 scenarios: a case study of the Krishna River Basin (2024) · cites this paper as Abbaspour et al. 2015
Climate change creates uncertainty about water resources.
“Climate change creates uncertainty about water resources (Abbaspour et al., 2015).”
From Future Hydrological Drought Analysis Considering Agricultural Water Withdrawal Under SSP Scenarios (2022) · cites this paper as Abbaspour et al., 2015
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Gassman, P. W., Reyes, M. R., Green, C. H., & Arnold, J. G. (2007) · Transactions of the ASABE · doi:10.13031/2013.23637 · Cited by 3,040 · see citing works
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Torabi Haghighi, A., Darabi, H., Shahedi, K., Solaimani, K., & Kløve, B. (2020) · Environmental Modeling & Assessment · doi:10.1007/s10666-019-09665-x · Cited by 84 · see citing works
Self-citationMasud, M. B., McAllister, T., Cordeiro, M. R. C., & Faramarzi, M. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.11.004 · Cited by 61 · see citing works
Future Hydrological Drought Analysis Considering Agricultural Water Withdrawal Under SSP Scenarios
Kim, J. H., Sung, J. H., Shahid, S., & Chung, E.-S. (2022) · Water Resources Management · doi:10.1007/s11269-022-03116-1 · Cited by 38 · see citing works
Catchment response to climate change under CMIP6 scenarios: a case study of the Krishna River Basin
Anil, S., P, A. R., & Vema, V. K. (2024) · Journal of Water and Climate Change · doi:10.2166/wcc.2024.442 · Cited by 16 · see citing works
Naga Sowjanya, P., Keesara, V. R., Mesapam, S., Das, J., & Sridhar, V. (2022) · Climate · doi:10.3390/cli10120190 · Cited by 14 · see citing works
- Authors
- Abbaspour, K. C., Rouholahnejad, E., Vaghefi, S., Srinivasan, R., Yang, H., & Kløve, B.
- Affiliations
- Swiss Federal Institute of Aquatic Science and Technology (CH)
- Texas A&M University (US)
- University of Basel (CH)
- University of Oulu (FI)
- Corresponding author
- Abbaspour, K.C.
- Venue
- Journal of Hydrology
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 524
- Pages
- 733-752
- ISSN
- 0022-1694 (ISSN-L)
- OpenAlex
- W2090915513
- Cited by
- 1,833
- References
- 1
- Citations by year
- 2026: 184 · 2025: 213 · 2024: 227 · 2023: 218 · 2022: 205 · 2021: 206 · 2020: 185 · 2019: 130 · 2018: 136 · 2017: 82 · 2016: 43 · 2015: 4
- FWCI
- 54.38
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Hydrology (publishedVersion, cc-by-nc-nd)
- DORA Eawag (Swiss Federal Institute of Aquatic Science and Technology (Eawag)) (submittedVersion, cc-by-nc-nd)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by-nc-nd)
- ETH Zürich Research Collection
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Physical Sciences › Environmental Science › Environmental Engineering › Soil Moisture and Remote Sensing
- Physical Sciences › Earth and Planetary Sciences › Geology › Environmental Monitoring and Data Management
- Keywords
- SWAT model, large-scale hydrological modelling, water quality, nitrate leaching, groundwater quality, model calibration, uncertainty analysis, Water Framework Directive, climate change impacts on water resources, crop yield, data availability, distributed hydrological model, Europe
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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