Articles | Volume 26, issue 9
https://doi.org/10.5194/hess-26-2561-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-2561-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 May 2022
Research article |
| 17 May 2022
| 17 May 2022
Influences of land use changes on the dynamics of water quantity and quality in the German lowland catchment of the Stör
Department of Hydrology and Water Resources Management, Institute for
Natural Resource Conservation, Kiel University, Olshausenstr. 75, 24118 Kiel, Germany
Paul D. Wagner
Department of Hydrology and Water Resources Management, Institute for
Natural Resource Conservation, Kiel University, Olshausenstr. 75, 24118 Kiel, Germany
Nicola Fohrer
Department of Hydrology and Water Resources Management, Institute for
Natural Resource Conservation, Kiel University, Olshausenstr. 75, 24118 Kiel, Germany
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21 citations as recorded by crossref.
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- Assessing land-use/land-cover influence on surface water quality using a weighted inverse distance function in Bangweulu sub-catchment area, Zambia M. Chundu et al. 10.1016/j.pce.2024.103813
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- A spatially explicit interpretable machine-learning method to track dissolved inorganic nitrogen pollution in a coastal watershed Z. Zhang et al. 10.1016/j.ecolind.2023.111428
- Hydrological responses to land use and land cover change and climate dynamics in the Rift Valley Lakes Basin, Ethiopia A. Ayalew et al. 10.2166/wcc.2023.138
- Unraveling the effects of hydrological connectivity and landscape characteristics on reservoir water quality J. Wang et al. 10.1016/j.jhydrol.2022.128410
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- Evaluating the influence of landscape spatial upscaling on the performance of river water quality models M. Aalipour et al. 10.1016/j.ecolind.2024.111607
- Development of a coupled model to simulate and assess arsenic contamination and impact factors in the Jinsha River Basin, China Y. Sun et al. 10.1016/j.jes.2023.09.038
- Serious gaming as an experiential learning tool: exploring the human–water perspectives in the case of Mt. Kenya water tower C. Wamucii et al. 10.3389/frwa.2025.1539080
- Nitrate isotopes in catchment hydrology: Insights, ideas and implications for models I. Matiatos et al. 10.1016/j.jhydrol.2023.130326
- Evaluating coupled influences of slope class and land use change on water quality using single and composite indices in an agricultural basin C. Lei 10.1016/j.catena.2024.108584
- Climate change impact on the ecological status of rivers: The case of Albaida Valley (SE Spain) H. Vagheei et al. 10.1016/j.scitotenv.2023.164645
- Groundwater Risk Assessment in the Arabian Basin of Saudi Arabia Through Multiple Dataset A. Pradipta et al. 10.1007/s13369-023-08469-2
- A SWAT model depicts the impact of land use change on hydrology, nutrient, and sediment loads in a Lake Michigan watershed M. Aboelnour et al. 10.1007/s40808-024-02259-x
- A comprehensive review of various environmental factors' roles in remote sensing techniques for assessing surface water quality M. Diganta et al. 10.1016/j.scitotenv.2024.177180
- Transformations in hydrological resilience: Unraveling the impact of landscape hydric potential on flood dynamics: A case study, Drwinka catchment (Poland) D. Młyński et al. 10.1016/j.jenvman.2024.123800
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Latest update: 14 May 2025
Short summary
We presented an integrated approach to hydrologic modeling and partial least squares regression quantifying land use change impacts on water and nutrient balance over 3 decades. Results highlight that most variations (70 %–80 %) in water quantity and quality variables are explained by changes in land use class-specific areas and landscape metrics. Arable land influences water quantity and quality the most. The study provides insights on water resources management in rural lowland catchments.
We presented an integrated approach to hydrologic modeling and partial least squares regression...
