Publikationsdatum:
2023-01-30
Beschreibung:
To summarize, we suggest a guideline for water quality modelling:
1. Spatial and temporal patterns of land use and land management
are critical to adequately represent water quality in models. Remote
sensing and land use models are very useful resources to be exploited.
2. The transfer of a model diagnostic analysis to water quality
leads to a better understanding of how water quality variables are
controlled by model structures and corresponding model parameters.
3. Assessing multiple model outputs regarding their temporal, spa-
tial and process performance using observed time series, remotely
sensed spatial patterns, knowledge about transport pathways and
even soft data can significantly enhance model consistency.
4. Multi-metric calibration using performance metrics and signa-
ture measures both for discharge and water quality, such as FDC and
NDC, leads to more balanced model simulations that represent all
magnitudes of discharge and water quality accurately.
5. Scenarios and storylines should be co-developed with stake-
holders in the river basin to make them more realistic and increase the
acceptance of model results. They should be realistic in space and
time, and provide a mix of available management options.
6. The interpretation of BMPs can be supported by diagnostic
tools to show the effectiveness of measures and their combinations
while considering their costs and impacts on ecosystem services.
Schlagwort(e):
ddc:628.1
;
rural areas
;
water quality modelling
Sprache:
Englisch
Materialart:
doc-type:article
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