Modeling of Regionalized Emissions (MoRE) into Water Bodies: An Open-Source River Basin Management System

Fuchs, Stéphan; Kaiser, Maria; Kiemle, Lisa; Kittlaus, Steffen; Rothvoß, Shari; Toshovski, Snezhina; Wagner, Adrian; Wander, R.; Weber, Tatyana; Ziegler, Sara

doi:10.3390/w9040239

Cited by 23 publications

(12 citation statements)

References 4 publications

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“…The EU Water Framework Directive calls on all Member States to submit an inventory of nutrient emissions and river loads for their river basins. In Germany, the river basin management models MONERIS [29] and MoRE [30] are frequently applied for Germany to estimate N emissions into water bodies from various sources and to prioritise measures to reduce N losses into the hydrosphere. In both models, the N soil surface surplus of agricultural land is a core quantity to evaluate the spatial risk of nitrate losses into groundwater.…”

Section: Introductionmentioning

confidence: 99%

Nitrogen soil surface budgets for districts in Germany 1995 to 2017

et al. 2020

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Background: Nitrogen (N) as a key input for crop production has adverse effects on the environment through emissions of reactive nitrogen. Less than 20% of the fertiliser nitrogen applied to agricultural land is actually consumed by humans in meat. Given this situation, nitrogen budgets have been introduced to quantify potential losses into the environment, to raise awareness in nutrient management, and to enforce and monitor nutrient mitigation measures. The surplus of the N soil surface budget has been used for many years for the assessment of potentially water pollution with nitrate from agriculture. Results: For the 402 districts in Germany, nitrogen soil surface budgets were calculated for the time series 1995 to 2017. For the first time, biogas production in agriculture and the transfer of manure between districts were included in the budget. Averaged for all districts, the recent N supply to the utilised agricultural area (UAA) totals 227 kg N ha −1 UAA (mean 2015-2017), among them 104 kg N ha −1 UAA mineral fertiliser, 59 kg N ha −1 UAA manure, 33 kg N ha −1 UAA digestate, 14 kg N ha −1 UAA from gross atmospheric deposition, 13 kg N ha −1 UAA biological N fixation, and 1 kg N ha −1 UAA from seed and planting material. The withdrawal with harvested products accounts for 149 kg N ha −1 UAA, resulting in an N soil surface budget surplus of 77 kg N ha −1 UAA. The N surpluses per district (mean 2015-2017) vary considerably between 26 and 162 kg N ha −1 UAA and the nitrogen use efficiency of crop production ranges from 0.53 to 0.79 in the districts. The N surplus in Germany as a whole has remained nearly constant since 1995, but the regional distribution has changed significantly. The N surplus has decreased in the arable farming regions, but increased in the districts with high livestock density. Some of this surplus, however, is relocated to other districts through the transfer of manure. Conclusions: The 23-year time series forms a reliable basis for further interpretation of N soil surface surplus in Germany. Agri-environmental programmes such as the limitation of the N surplus through the Fertiliser Ordinance and the promotion of biogas production have a clear effect on the N surplus in Germany as a whole and its regional distribution.

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Section: Introductionmentioning

confidence: 99%

Nitrogen soil surface budgets for districts in Germany 1995 to 2017

et al. 2020

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“…Fuchs et al [81] present a data management system that tracks substance emissions to help protect freshwater resources. The system, MoRE (Modeling of Regionalized Emissions), also provides modelling capabilities to track pathway-specific emissions and river loads on a catchment scale and scenarios of emission reductions to be simulated.…”

Section: Data Management For Geospatial Modellingmentioning

confidence: 99%

Geospatial Modeling of River Systems

Carr

2018

Water

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Within the context of fluvial systems, geospatial modeling of river networks consists of describing certain patterns in the geographical or geomorphological "fabric" along the course of rivers or streams and correlating these patterns to physical, ecological, biological and chemical processes in the river/stream system's aquatic environment. Patterns may consist of different sets of similar sequences of geomorphological characteristics, sediment substrate type or flow velocity fields. These patterns will influence processes by defining, for example, behaviors in river ice formation or breakup (physical), fish habitat types (ecological) and transformations in water-quality constituents (biological and chemical). In this special issue of Geospatial Modeling of River Systems, we invited papers to present models and data that correlate geographic/geomorphic features of a river or stream system with physical/ecological/biological/chemical processes in the lotic aquatic environment.

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“…In order to derive effective measures for emission reduction, knowledge of the sources and input pathways of substances is essential. The need to quantify substance inputs to surface waters and derive adapted mitigation strategies stimulated the development of diverse model systems at the regional scale [7][8][9][10][11][12][13][14][15][16][17][18]. These models have in common that they used predominantly empirical or stochastic rather than process-related approaches.…”

Section: Introductionmentioning

confidence: 99%

Use of Monitoring Approaches to Verify the Predictive Accuracy of the Modeling of Particle-Bound Solid Inputs to Surface Waters

Allion

Gebel²,

Uhlig³

et al. 2021

Water

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For particle-bound substances such as phosphorus, erosion is an important input pathway to surface waters. Therefore, knowledge of soil erosion by water and sediment inputs to water bodies at high spatial resolution is essential to derive mitigation measures at the regional scale. Models are used to calculate soil erosion and associated sediment inputs to estimate the resulting loads. However, validation of these models is often not sufficiently possible. In this study, sediment input was modeled on a 10 × 10 m grid for a subcatchment of the Kraichbach river in Baden-Wuerttemberg (Germany). In parallel, large-volume samplers (LVS) were operated at the catchment outlet, which allowed a plausibility check of the modeled sediment inputs. The LVS produced long-term composite samples (2 to 4 weeks) over a period of 4 years. The comparison shows a very good agreement between the modeled and measured sediment loads. In addition, the monitoring concept of the LVS offers the possibility to identify the sources of the sediment inputs to the water body. In the case of the Kraichbach river, it was found that around 67% of the annual sediment load in the water body is contributed by rainfall events and up to 33% represents dry-weather load. This study shows that the modeling approaches for calculating the sediment input provide good results for the test area Kraichbach and the transfer for a German wide modeling will produce plausible values.

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Modeling of Regionalized Emissions (MoRE) into Water Bodies: An Open-Source River Basin Management System

Cited by 23 publications

References 4 publications

Nitrogen soil surface budgets for districts in Germany 1995 to 2017

Nitrogen soil surface budgets for districts in Germany 1995 to 2017

Geospatial Modeling of River Systems

Use of Monitoring Approaches to Verify the Predictive Accuracy of the Modeling of Particle-Bound Solid Inputs to Surface Waters

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