RESEARCH ARTICLE
Simulating low flows over a heterogeneous landscape in southeastern Poland
Krzysztof Raczyński,
Jamie Dyer,
Corresponding Author
Krzysztof Raczyński
Department of Hydrology and Climatology, Maria Curie-Sklodowska University, Lublin, Poland
Correspondence
Krzysztof Raczyński, Department of Hydrology and Climatology, Maria Curie-Sklodowska University, Krasnicka 2d, 20-718 Lublin, Poland.
Email: [email protected]
Search for more papers by this authorJamie Dyer
Department of Geosciences, Mississippi State University, Mississippi State, Mississippi, USA
Search for more papers by this authorKrzysztof Raczyński,
Jamie Dyer,
Corresponding Author
Krzysztof Raczyński
Department of Hydrology and Climatology, Maria Curie-Sklodowska University, Lublin, Poland
Correspondence
Krzysztof Raczyński, Department of Hydrology and Climatology, Maria Curie-Sklodowska University, Krasnicka 2d, 20-718 Lublin, Poland.
Email: [email protected]
Search for more papers by this authorJamie Dyer
Department of Geosciences, Mississippi State University, Mississippi State, Mississippi, USA
Search for more papers by this authorAbstract
This paper presents a scheme describing low flow formation processes in areas with different environmental conditions, including the impact of the selection and explanatory power of predictors for a probabilistic model based on the Logit model. The research was carried out using 29 daily streamflow gauges located in the Lublin region of southeastern Poland for the hydrological period 1976–2018. Analysis resulted in two distinct low flow schemes. In the lowland rivers, low flows occur during the warm season and are related to evaporation exceeding precipitation. In the upland rivers, hydrogeological factors related to water levels in the local Cretaceous aquifers determine the occurrence of low flows. This differentiation affects the quality of the predictive models. For lowland rivers, models based on the climatic water balance with a monthly shift have a better fit, while these models used for upland rivers are characterized by an approximately 10% decrease in accuracy. For upland rivers, the combined CtHt models without shifts produce the best model fit. The generalized precision of the Logit models is around 80%–90%.
Open Research
DATA AVAILABILITY STATEMENT
The raw data of daily flow series for all gauging sections used in this study can be accessed by IMGW webAPI, and used for scientific purposes only, as indicated in regulations of the IMGW institution. Data can be accessed online at: https://dane.imgw.pl/datastore.
Supporting Information
| Filename | Description |
|---|---|
| hyp14322-sup-0001-SupInfo.docxWord 2007 document , 5.1 MB | Data S1. Supporting Information. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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