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  • 1. Aich, Valentin
    et al.
    Liersch, Stefan
    Vetter, Tobias
    Andersson, Jafet
    SMHI, Research Department, Hydrology.
    Mueller, Eva N.
    Hattermann, Fred F.
    Climate or Land Use?-Attribution of Changes in River Flooding in the Sahel Zone2015In: Water, E-ISSN 2073-4441, Vol. 7, no 6, p. 2796-2820Article in journal (Refereed)
    Abstract [en]

    This study intends to contribute to the ongoing discussion on whether land use and land cover changes (LULC) or climate trends have the major influence on the observed increase of flood magnitudes in the Sahel. A simulation-based approach is used for attributing the observed trends to the postulated drivers. For this purpose, the ecohydrological model SWIM (Soil and Water Integrated Model) with a new, dynamic LULC module was set up for the Sahelian part of the Niger River until Niamey, including the main tributaries Sirba and Goroul. The model was driven with observed, reanalyzed climate and LULC data for the years 1950-2009. In order to quantify the shares of influence, one simulation was carried out with constant land cover as of 1950, and one including LULC. As quantitative measure, the gradients of the simulated trends were compared to the observed trend. The modeling studies showed that for the Sirba River only the simulation which included LULC was able to reproduce the observed trend. The simulation without LULC showed a positive trend for flood magnitudes, but underestimated the trend significantly. For the Goroul River and the local flood of the Niger River at Niamey, the simulations were only partly able to reproduce the observed trend. In conclusion, the new LULC module enabled some first quantitative insights into the relative influence of LULC and climatic changes. For the Sirba catchment, the results imply that LULC and climatic changes contribute in roughly equal shares to the observed increase in flooding. For the other parts of the subcatchment, the results are less clear but show, that climatic changes and LULC are drivers for the flood increase; however their shares cannot be quantified. Based on these modeling results, we argue for a two-pillar adaptation strategy to reduce current and future flood risk: Flood mitigation for reducing LULC-induced flood increase, and flood adaptation for a general reduction of flood vulnerability.

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  • 2.
    Arheimer, Berit
    et al.
    SMHI, Research Department, Hydrology.
    Nilsson, Johanna
    Lindström, Göran
    SMHI, Research Department, Hydrology.
    Experimenting with Coupled Hydro-Ecological Models to Explore Measure Plans and Water Quality Goals in a Semi-Enclosed Swedish Bay2015In: Water, E-ISSN 2073-4441, Vol. 7, no 7, p. 3906-3924Article in journal (Refereed)
    Abstract [en]

    Measure plans are currently being developed for the Water Framework Directive (WFD) by European water authorities. In Sweden, such plans include measures for good ecological status in the coastal ecosystem. However, the effect of suggested measures is not yet known. We therefore experimented with different nutrient reduction measures on land and in the sea, using a model system of two coupled dynamic models for a semi-enclosed bay and its catchment. The science question was whether it is worthwhile to implement measures in the local catchment area to reach local environmental goals, or if the status of the Bay is more governed by the water exchange with the Sea. The results indicate that by combining several measures in the catchment, the nutrient load can be reduced by 15%-20%. To reach the same effect on nutrient concentrations in the Bay, the concentrations of the sea must be reduced by 80%. Hence, in this case, local measures have a stronger impact on coastal water quality. The experiment also show that the present targets for good ecological status set up by the Swedish water authorities may be unrealistic for this Bay. Finally, we discuss when and how to use hydro-ecological models for societal needs.

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  • 3. Contreras, Eva
    et al.
    Herrero, Javier
    Crochemore, Louise
    SMHI, Research Department, Hydrology.
    Aguilar, Cristina
    Jose Polo, Maria
    Seasonal Climate Forecast Skill Assessment for the Management of Water Resources in a Run of River Hydropower System in the Poqueira River (Southern Spain)2020In: Water, E-ISSN 2073-4441, Vol. 12, no 8, article id 2119Article in journal (Refereed)
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  • 4. de Niet, Julia
    et al.
    Finger, David Christian
    Bring, Arvid
    Egilson, David
    Gustafsson, David
    SMHI, Research Department, Hydrology.
    Kalantari, Zahra
    Benefits of Combining Satellite-Derived Snow Cover Data and Discharge Data to Calibrate a Glaciated Catchment in Sub-Arctic Iceland2020In: Water, E-ISSN 2073-4441, Vol. 12, no 4, article id 975Article in journal (Refereed)
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  • 5. Hankin, Barry
    et al.
    Strömqvist, Johan
    SMHI, Research Department, Hydrology.
    Burgess, Chris
    Pers, Charlotta
    SMHI, Research Department, Hydrology.
    Bielby, Sally
    Revilla-Romero, Beatriz
    Pope, Linda
    A New National Water Quality Model to Evaluate the Effectiveness of Catchment Management Measures in England2019In: Water, E-ISSN 2073-4441, Vol. 11, no 8, article id 1612Article in journal (Refereed)
    Abstract [en]

    This investigation reports on a new national model to evaluate the effectiveness of catchment sensitive farming in England, and how pollution mitigation measures have improved water quality between 2006 and 2016. An adapted HYPE (HYdrological Predictions for the Environment) model was written to use accurate farm emissions data so that the pathway impact could be accounted for in the land phase of transport. Farm emissions were apportioned into different runoff fractions simulated in surface and soil layers, and travel time and losses were taken into account. These were derived from the regulator's catchment change matrix' and converted to monthly load time series, combined with extensive point source load datasets. Very large flow and water quality monitoring datasets were used to calibrate the model nationally for flow, nitrogen, phosphorus, suspended sediments and faecal indicator organisms. The model was simulated with and without estimated changes to farm emissions resulting from catchment measures, and spatial and temporal changes to water quality concentrations were then assessed.

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  • 6.
    Hieronymus, Magnus
    SMHI, Research Department, Oceanography.
    Nonlinear Interactions and Some Other Aspects of Probabilistic Sea Level Projections2020In: Water, E-ISSN 2073-4441, Vol. 12, no 11, article id 3212Article in journal (Refereed)
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  • 7. Jose Perez-Palazon, Maria
    et al.
    Pimentel, Rafael
    SMHI, Research Department, Hydrology.
    Jose Polo, Maria
    Climate Trends Impact on the Snowfall Regime in Mediterranean Mountain Areas: Future Scenario Assessment in Sierra Nevada (Spain)2018In: Water, E-ISSN 2073-4441, Vol. 10, no 6, article id 720Article in journal (Refereed)
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  • 8. Kawamura, Akira
    et al.
    Amaguchi, Hideo
    Olsson, Jonas
    SMHI, Research Department, Hydrology.
    Tanouchi, Hiroto
    Urban Flood Runoff Modeling in Japan: Recent Developments and Future Prospects2023In: Water, E-ISSN 2073-4441, Vol. 15, no 15, article id 2733Article in journal (Refereed)
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    Urban Flood Runoff Modeling in Japan: Recent Developments and Future Prospects
  • 9. Koutroulis, Aristeidis G.
    et al.
    Papadimitriou, Lamprini V.
    Grillakis, Manolis G.
    Tsanis, Ioannis K.
    Wyser, Klaus
    SMHI, Research Department, Climate research - Rossby Centre.
    Caesar, John
    Betts, Richard A.
    Simulating Hydrological Impacts under Climate Change: Implications from Methodological Differences of a Pan European Assessment2018In: Water, E-ISSN 2073-4441, Vol. 10, no 10, article id 1331Article in journal (Refereed)
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  • 10. Lebedeva, Liudmila
    et al.
    Gustafsson, David
    SMHI, Research Department, Hydrology.
    Streamflow Changes of Small and Large Rivers in the Aldan River Basin, Eastern Siberia2021In: Water, E-ISSN 2073-4441, Vol. 13, no 19, article id 2747Article in journal (Refereed)
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    Streamflow Changes of Small and Large Rivers in the Aldan River Basin, Eastern Siberia
  • 11. Lemaire, Gregory G.
    et al.
    Carnohan, Shane A.
    Grand, Stanislav
    Mazel, Victor
    Bjerg, Poul L.
    McKnight, Ursula
    SMHI, Research Department, Hydrology.
    Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams2021In: Water, E-ISSN 2073-4441, Vol. 13, no 21, article id 3002Article in journal (Refereed)
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    Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams
  • 12. Lindenschmidt, Karl-Erich
    et al.
    Alfredsen, Knut
    Carstensen, Dirk
    Chorynski, Adam
    Gustafsson, David
    SMHI, Research Department, Hydrology.
    Halicki, Michal
    Hentschel, Bernd
    Karjalainen, Niina
    Koegel, Michael
    Kolerski, Tomasz
    Kornas-Dynia, Marika
    Kubicki, Michal
    Kundzewicz, Zbigniew W.
    Lauschke, Cornelia
    Malinger, Albert
    Marszelewski, Wlodzimierz
    Moeldner, Fabian
    Naslund-Landenmark, Barbro
    Niedzielski, Tomasz
    Parjanne, Antti
    Pawlowski, Boguslaw
    Pinskwar, Iwona
    Remisz, Joanna
    Renner, Maik
    Roers, Michael
    Rybacki, Maksymilian
    Szalkiewicz, Ewelina
    Szydlowski, Michal
    Walusiak, Grzegorz
    Witek, Matylda
    Zagata, Mateusz
    Zdralewicz, Maciej
    Assessing and Mitigating Ice-Jam Flood Hazards and Risks: A European Perspective2023In: Water, E-ISSN 2073-4441, Vol. 15, no 1, article id 76Article in journal (Refereed)
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    Assessing and Mitigating Ice-Jam Flood Hazards and Risks_A European Perspective: A European Perspective
  • 13. Massazza, Giovanni
    et al.
    Tarchiani, Vieri
    Andersson, Jafet
    SMHI, Research Department, Hydrology.
    Ali, Abdou
    Ibrahim, Mohamed Housseini
    Pezzoli, Alessandro
    De Filippis, Tiziana
    Rocchi, Leandro
    Minoungou, Bernard
    Gustafsson, David
    SMHI, Research Department, Hydrology.
    Rosso, Maurizio
    Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River2020In: Water, E-ISSN 2073-4441, Vol. 12, no 12, article id 3504Article in journal (Refereed)
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  • 14. Matta, Erica
    et al.
    Bresciani, Mariano
    Tellina, Giulio
    Schenk, Karin
    Bauer, Philipp
    Von Trentini, Fabian
    Ruther, Nils
    Bartosova, Alena
    SMHI, Research Department, Hydrology.
    Data Integration for Investigating Drivers of Water Quality Variability in the Banja Reservoir Watershed2023In: Water, E-ISSN 2073-4441, Vol. 15, no 3, article id 607Article in journal (Refereed)
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    Data Integration for Investigating Drivers of Water Quality Variability in the Banja Reservoir Watershed
  • 15. Pechlivanidis, Ilias G.
    et al.
    Olsson, Jonas
    SMHI, Research Department, Hydrology.
    Bosshard, Thomas
    SMHI, Research Department, Hydrology.
    Sharma, Devesh
    Sharma, K. C.
    Multi-Basin Modelling of Future Hydrological Fluxes in the Indian Subcontinent2016In: Water, E-ISSN 2073-4441, Vol. 8, no 5, article id 177Article in journal (Refereed)
    Abstract [en]

    The impact of climate change on the hydro-climatology of the Indian subcontinent is investigated by comparing statistics of current and projected future fluxes resulting from three RCP scenarios (RCP2.6, RCP4.5, and RCP8.5). Climate projections from the CORDEX-South Asia framework have been bias-corrected using the Distribution-Based Scaling (DBS) method and used to force the HYPE hydrological model to generate projections of evapotranspiration, runoff, soil moisture deficit, snow depth, and applied irrigation water to soil. We also assess the changes in the annual cycles in three major rivers located in different hydro-climatic regions. Results show that conclusions can be influenced by uncertainty in the RCP scenarios. Future scenarios project a gradual increase in temperature (up to 7 degrees C on average), whilst changes (both increase and decrease) in the long-term average precipitation and evapotranspiration are more severe at the end of the century. The potential change (increase and decrease) in runoff could reach 100% depending on the region and time horizon. Analysis of annual cycles for three selected regions showed that changes in discharge and evapotranspiration due to climate change vary between seasons, whereas the magnitude of change is dependent on the region's hydro-climatic gradient. Irrigation needs and the snow depth in the Himalayas are also affected.

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  • 16. Pechlivanidis, Ilias G.
    et al.
    Olsson, Jonas
    SMHI, Research Department, Hydrology.
    Bosshard, Thomas
    SMHI, Research Department, Hydrology.
    Sharma, Devesh
    Sharma, K. C.
    Multi-Basin Modelling of Future Hydrological Fluxes in the Indian Subcontinent2016In: Water, E-ISSN 2073-4441, Vol. 8, no 5, p. 177-177Article in journal (Refereed)
    Abstract [en]

    The impact of climate change on the hydro-climatology of the Indian subcontinent is investigated by comparing statistics of current and projected future fluxes resulting from three RCP scenarios (RCP2.6, RCP4.5, and RCP8.5). Climate projections from the CORDEX-South Asia framework have been bias-corrected using the Distribution-Based Scaling (DBS) method and used to force the HYPE hydrological model to generate projections of evapotranspiration, runoff, soil moisture deficit, snow depth, and applied irrigation water to soil. We also assess the changes in the annual cycles in three major rivers located in different hydro-climatic regions. Results show that conclusions can be influenced by uncertainty in the RCP scenarios. Future scenarios project a gradual increase in temperature (up to 7 degrees C on average), whilst changes (both increase and decrease) in the long-term average precipitation and evapotranspiration are more severe at the end of the century. The potential change (increase and decrease) in runoff could reach 100% depending on the region and time horizon. Analysis of annual cycles for three selected regions showed that changes in discharge and evapotranspiration due to climate change vary between seasons, whereas the magnitude of change is dependent on the region's hydro-climatic gradient. Irrigation needs and the snow depth in the Himalayas are also affected.

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  • 17. Sobotkova, Martina
    et al.
    Dusek, Jaromir
    Alavi, Ghasem
    SMHI, Professional Services.
    Sharma, Laxman
    Ray, Chittaranjan
    Assessing the Feasibility of Soil Infiltration Trenches for Highway Runoff Control on the Island of Oahu, Hawaii2018In: Water, E-ISSN 2073-4441, Vol. 10, no 12, article id 1832Article in journal (Refereed)
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  • 18. Sobotkova, Martina
    et al.
    Dusek, Jaromir
    Alavi, Ghasem
    SMHI, Professional Services.
    Sharma, Laxman
    Ray, Chittaranjan
    Assessing the Feasibility of Soil Infiltration Trenches for Highway Runoff Control on the Island of Oahu, Hawaii (vol 10, 1832, 2018)2019In: Water, E-ISSN 2073-4441, Vol. 11, no 3, article id 474Article in journal (Refereed)
  • 19. Varlas, George
    et al.
    Papadaki, Christina
    Stefanidis, Konstantinos
    Mentzafou, Angeliki
    Pechlivanidis, Ilias
    SMHI, Research Department, Hydrology.
    Papadopoulos, Anastasios
    Dimitriou, Elias
    Increasing Trends in Discharge Maxima of a Mediterranean River during Early Autumn2023In: Water, E-ISSN 2073-4441, Vol. 15, no 6, article id 1022Article in journal (Refereed)
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    Increasing Trends in Discharge Maxima of a Mediterranean River during Early Autumn
1 - 19 of 19
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