Modelling water and nutrient fluxes in the Danube River Basin with SWAT

Malagó, Anna; Bouraoui, F.; Vigiak, Olga; Grizzetti, Bruna; Pastori, Marco

doi:10.1016/j.scitotenv.2017.05.242

Cited by 148 publications

(72 citation statements)

References 96 publications

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“…For example, the SWAT model, as one of the most popular models, is extensively applied in runoff simulation and prediction, sediment transition etc. [25], and requires not only daily precipitation and temperature, but also relative humidity, atmospheric pressure, and wind speeds as input weather data, to obtain evapotranspiration [26]. Relative humidity, wind speed and max/min-temperatures also have great value in research.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Hydrological Simulation of CMADS and CFSR Reanalysis Datasets in the Qinghai-Tibet Plateau

Jun

Shanguan

Liu

et al. 2018

Water

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Multisource reanalysis datasets provide an effective way to help us understand hydrological processes in inland alpine regions with sparsely distributed weather stations. The accuracy and quality of two widely used datasets, the China Meteorological Assimilation Driving Datasets to force the SWAT model (CMADS), and the Climate Forecast System Reanalysis (CFSR) in the Qinghai-Tibet Plateau (TP), were evaluated in this paper. The accuracy of daily precipitation, max/min temperature, relative humidity and wind speed from CMADS and CFSR are firstly evaluated by comparing them with results obtained from 131 meteorological stations in the TP. Statistical results show that most elements of CMADS are superior to those of CFSR. The average correlation coefficient (R) between the maximum temperature and the minimum temperature of CMADS and CFSR ranged from 0.93 to 0.97. The root mean square error (RMSE) for CMADS and CFSR ranged from 3.16 to 3.18 °C, and ranged from 5.19 °C to 8.14 °C respectively. The average R of precipitation, relative humidity, and wind speed for CMADS are 0.46; 0.88 and 0.64 respectively, while they are 0.43, 0.52, and 0.37 for CFSR. Gridded observation data is obtained using the professional interpolation software, ANUSPLIN. Meteorological elements from three gridded data have a similar overall distribution but have a different partial distribution. The Soil and Water Assessment Tool (SWAT) is used to simulate hydrological processes in the Yellow River Source Basin of the TP. The Nash Sutcliffe coefficients (NSE) of CMADS+SWAT in calibration and validation period are 0.78 and 0.68 for the monthly scale respectively, which are better than those of CFSR+SWAT and OBS+SWAT in the Yellow River Source Basin. The relationship between snowmelt and other variables is measured by GeoDetector. Air temperature, soil moisture, and soil temperature at 1.038 m has a greater influence on snowmelt than others.

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Section: Introductionmentioning

confidence: 99%

Evaluation and Hydrological Simulation of CMADS and CFSR Reanalysis Datasets in the Qinghai-Tibet Plateau

Jun

Shanguan

Liu

et al. 2018

Water

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“…The Soil and Water Assessment Tool (SWAT; [12]) model is a process-based, semi-distributed model. It is widely used in large river basins to simulate water quantity and quality [21][22][23]. The model was selected because it has a flexible structure allowing to address different water resources and pollution problems, and it is well documented and open source.…”

Section: Model Description and Baseline Set-upmentioning

confidence: 99%

“…In order to provide a more reliable evaluation of nitrate leaching into aquifer, only groundwater parameters were estimated by regionalizing values calibrated in previous large-scale applications in Europe: Spain and Scandinavian Peninsula [21], the Danube River Basin [22] and France [47]. The regionalization consists of a cluster analysis performed using the Self Organized Map (SOM) [48] and a similarity approach to transpose the calibrated parameters to all uncalibrated grid-cells [49].…”

Section: Streamflowmentioning

confidence: 99%

Modelling Nitrate Reduction Strategies from Diffuse Sources in the Po River Basin

Malagó

Bouraoui

Pastori

et al. 2019

Water

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Water contamination caused by the presence of excessive amounts of nitrate can be catastrophic for aquatic ecosystems and human health. Due to these high risks, a great deal of emphasis has been placed on finding effective measures to reduce nitrate concentrations in rivers and aquifers. In this study, we used the SWAT model based on grid-cells of 5 minutes of resolution for assessing the processes involved in nitrate loads generation and transport into aquifers and rivers and for providing basin management strategies of nitrate reduction. We applied the model in the Po River Basin (Italy), one of the most densely populated and highly agriculturally exploited area in the Mediterranean basin. The model was successfully calibrated and validated in eight monitoring stations along the Po River for the period 2000–2012. Simulated monthly streamflow and nitrate concentrations were in good agreement with observations, obtaining values of bias around ±25% in both calibration and validation. Among the tested scenarios of nitrogen reduction from agricultural sources, red clover cover crop after corn, coupled with a targeted reduction of mineral fertilizers and the limitation of nitrogen manure leads to a reduction of nitrate leaching and nitrogen emissions of around 37%.

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“…The most frequently used approach in Europe is a regional assessment of the impact of management practices that provides support to the implementation of the European Directives. However, the models are frequently not able to accurately represent the spatial variability of the denitrification process [12]. One of the most recent studies of the climate impact on denitrification for four districts in the Upper Danube catchment for the years 1996-2005 and 2011-2060 uses regional DANUBIA simulation system approach and shows that climate changes alone will not lead to serious changes in nitrate leaching [13].…”

Section: Izvlečekmentioning

confidence: 99%

Assessment of the influences of climate variability on nitrogen leaching rate into groundwater

Uhan¹

2018

Materials and Geoenvironment

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This article presents preliminary model results of climate change impact on biogeochemical processes in soil. With the use of DNDC (DeNitrification-DeComposition) model, a simulation with climate data over seventy years period (1947-2016) from central part of Slovenia has been carried out. Amongst assessed sources of variability, time variability has been estimated to around 10% of the total annual nitrogen leaching. In some cases, a statistically significant downward trend was observed with a 5 kg reduction in nitrogen per hectare in seventy years period. This study represents the first quantitative assessment of nitrogen leaching variability due to precipitation and air temperature variability in three representative soil profiles in the central Slovenia. It offers a starting point for future regional research for the purpose of farming practice optimization, especially in catchment areas of major regional water resources in Slovenia.

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Modelling water and nutrient fluxes in the Danube River Basin with SWAT

Cited by 148 publications

References 96 publications

Evaluation and Hydrological Simulation of CMADS and CFSR Reanalysis Datasets in the Qinghai-Tibet Plateau

Evaluation and Hydrological Simulation of CMADS and CFSR Reanalysis Datasets in the Qinghai-Tibet Plateau

Modelling Nitrate Reduction Strategies from Diffuse Sources in the Po River Basin

Assessment of the influences of climate variability on nitrogen leaching rate into groundwater

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