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From meso- to macro-scale dynamic water quality modelling for the assessment of land use change scenarios

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  • Huang, Shaochun
  • Hesse, Cornelia
  • Krysanova, Valentina
  • Hattermann, Fred

Abstract

The implementation of the European Water Framework Directive requires reliable tools to predict the water quality situations in streams caused by planned land use changes at the scale of large regional river basins. This paper presents the results of modelling the in-stream nitrogen load and concentration within the macro-scale basin of the Saale river (24,167km2) using a semi-distributed process-based ecohydrological dynamic model SWIM (Soil and Water Integrated Model). The simulated load and concentration at the last gauge of the basin show that SWIM is capable to provide a satisfactory result for a large basin. The uncertainty analysis indicates the importance of realistic input data for agricultural management, and that the calibration of parameters can compensate the uncertainty in the input data to a certain extent. A hypothesis about the distributed nutrient retention parameters for macro-scale basins was tested aimed in improvement of the simulation results at the intermediate gauges and the outlet. To verify the hypothesis, the retention parameters were firstly proved to have a reasonable representation of the denitrification conditions in six meso-scale catchments. The area of the Saale region was classified depending on denitrification conditions in soil and groundwater into three classes (poor, neutral and good), and the distributed parameters were applied. However, the hypothesis about the usefulness of distributed retention parameters for macro-scale basins was not confirmed. Since the agricultural management is different in the sub-regions of the Saale basin, land use change scenarios were evaluated for two meso-scale subbasins of the Saale. The scenario results show that the optimal agricultural land use and management are essential for the reduction in nutrient load and improvement of water quality to meet the objectives of the European Water Framework Directive and in view of the regional development plans for future.

Suggested Citation

  • Huang, Shaochun & Hesse, Cornelia & Krysanova, Valentina & Hattermann, Fred, 2009. "From meso- to macro-scale dynamic water quality modelling for the assessment of land use change scenarios," Ecological Modelling, Elsevier, vol. 220(19), pages 2543-2558.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:19:p:2543-2558
    DOI: 10.1016/j.ecolmodel.2009.06.043
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    References listed on IDEAS

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    1. Hesse, Cornelia & Krysanova, Valentina & Päzolt, Jens & Hattermann, Fred F., 2008. "Eco-hydrological modelling in a highly regulated lowland catchment to find measures for improving water quality," Ecological Modelling, Elsevier, vol. 218(1), pages 135-148.
    2. Volk, Martin & Hirschfeld, Jesko & Dehnhardt, Alexandra & Schmidt, Gerd & Bohn, Carsten & Liersch, Stefan & Gassman, Philip W., 2008. "Integrated ecological-economic modelling of water pollution abatement management options in the Upper Ems River Basin," Ecological Economics, Elsevier, vol. 66(1), pages 66-76, May.
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    1. Haas, Marcelo B. & Guse, Björn & Pfannerstill, Matthias & Fohrer, Nicola, 2015. "Detection of dominant nitrate processes in ecohydrological modeling with temporal parameter sensitivity analysis," Ecological Modelling, Elsevier, vol. 314(C), pages 62-72.
    2. Hesse, Cornelia & Krysanova, Valentina & Vetter, Tobias & Reinhardt, Julia, 2013. "Comparison of several approaches representing terrestrial and in-stream nutrient retention and decomposition in watershed modelling," Ecological Modelling, Elsevier, vol. 269(C), pages 70-85.
    3. Glavan, Matjaž & Miličić, Vesna & Pintar, Marina, 2013. "Finding options to improve catchment water quality—Lessons learned from historical land use situations in a Mediterranean catchment in Slovenia," Ecological Modelling, Elsevier, vol. 261, pages 58-73.
    4. Li, Yi & Li, Yangfan & Qureshi, Salman & Kappas, Martin & Hubacek, Klaus, 2015. "On the relationship between landscape ecological patterns and water quality across gradient zones of rapid urbanization in coastal China," Ecological Modelling, Elsevier, vol. 318(C), pages 100-108.
    5. Hanane Rhomad & Karima Khalil & Khalid Elkalay, 2023. "Water Quality Modeling in Atlantic Region: Review, Science Mapping and Future Research Directions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 451-499, January.

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