Hydrological modelling for sustainable rural and urban landscapes in Latvia

Authors

DOI:

https://doi.org/10.22616/j.landarchart.2025.27.05

Keywords:

hydrological modelling, sustainable landscape planning, land use impact, flood risk management, METQ model

Abstract

Effective landscape planning requires a comprehensive understanding of how land use affects hydrological processes - especially in regions such as Latvia, where climate change, urbanisation, and fragmented hydrological data complicate decision-making. This study applies the METQ conceptual rainfall–runoff model to three representative Latvian catchments (Iecava, Pērse, and Imula), each characterised by differing forest, agricultural, and urban land use patterns. Using long-term hydrometeorological data and detailed land cover classifications, the model was calibrated and validated to simulate daily runoff dynamics and explore the influence of land use on flood risk and water balance. Results indicate that forested and semi-natural areas attenuate peak flows and enhance baseflow retention, while intensively cultivated and urbanised landscapes increase surface runoff and flood potential. Scenario simulations further reveal that even small increases in impervious area can significantly  elevate peak discharge, whereas the implementation of green infrastructure can mitigate these effects. The study demonstrates that METQ provides reliable,  spatially explicit hydrological insights that support sustainable land use  planning, particularly in data-scarce contexts. The findings emphasise the  importance of incorporating hydrological models into spatial planning and  environmental assessment processes. Such integration allows planners and  designers to visualise the consequences of development decisions, evaluate  alternative land use configurations, and enhance landscape resilience in the face  of climate change. The approach presented here offers a transferable  model for landscape planning in other Baltic and Northern European regions  facing similar socio-environmental challenges.

Author Biographies

Anda Bakute, Latvia University of Life Sciences and Technologies

Mg.geogr., Researcher, hydrologist is a researcher at the Latvia University of Life Sciences and Technologies, Institute of Landscape Architecture and Environmental Engineering. Her academic and  research activities are focused on hydrology, water management, and environmental modelling, with a  particular emphasis on the conceptual hydrological model METQ and its application in river basin studies.  Her research supports the advancement of sustainable water management and the integration of  hydrological modelling into environmental decision-making processes.

Inga Grinfelde, Latvia University of Life Sciences and Technologies

Ph.D., Mg.paed. Associated professor, Expert in hydrology, Academic and research experience for more than ten years, currently working at the Institute of Landscape Architecture and Environmental Engineering, Latvia University of Life Sciences and Technologies. Her main research interests include air pollution, soil contamination, and environmental quality assessment.

Marcel Groosman, GT&O Groosman Techniek en Organisatie

MSc TU Delft, Managing Director, GT&O Groosman Techniek en Organisatie, The Netherlands. He is a managing director and senior technical consultant. He has over fifty years of professional experience in  technical project management, environmental engineering, and sustainable infrastructure development.  His expertise covers energy-efficient technology implementation, and organizational optimization for industrial and municipal projects. Marcel has led and coordinated numerous international collaborations  focusing on green technology innovation, circular economy solutions, and sustainable resource use.

References

1. Apsīte, E., Elferts, D., Lapinskis, J., Briede, A., & Klints, L. Changes in magnitude and shifts in timing of the Latvian river annual flood peaks. Atmosphere, 2024, 15(9), p. 1139.

2. Bakute, A., Grinfelde, I., & Lagzdiņš, A. Application of the model METQ for hydrological calculations. Research for Rural Development, 2017, 1, p. 139−144.

3. Beven, K. J. Rainfall–runoff modelling: The primer. 2nd ed. Wiley-Blackwell, 2012.

4. European Environment Agency. Climate change, impacts and vulnerability in Europe 2016: An indicator-based report. 2017. https://www.eea.europa.eu/publications/climate-changeimpacts-and-vulnerability-2016

5. European Parliament and Council of the European Union. Directive 2007/60/EC of 23 October 2007 on the assessment and management of flood risks. Official Journal of the European Union, 2007, L 288, p. 27−34. http://data.europa.eu/eli/dir/2007/60/oj

6. Grinfelde, I., & Bakute, A. Urban hydrological response unit parameter calibration and verification for conceptual hydrological model METQ. Engineering for Rural Development, 2017, 16, p. 1117−1122.

7. Gupta, H. V., Kling, H., Yilmaz, K. K., & Martinez, G. F. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling. Journal of Hydrology, 2009, 377(1–2), p. 80−91.

8. Kundzewicz, Z. W., Krysanova, V., Dankers, R., Hirabayashi, Y., Kanae, S., Hattermann, F. F., … Schellnhuber, H. J. Differences in flood hazard projections in Europe – their causes and consequences for decision making. Hydrological Sciences Journal, 2016, 62(1), p. 1−14.

9. Loucks, D. P., & van Beek, E. Water resource systems planning and management: An introduction to methods, models, and applications. Springer, 2017.

10. Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., & Veith, T. L. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 2007, 50(3), p. 885−900.

11. Opperman, J. J., Galloway, G. E., Fargione, J., Mount, J. F., Richter, B. D., & Secchi, S. Sustainable floodplains through large-scale reconnection to rivers. Science, 2009, 326(5959), p. 1487−1488.

12. Pahl-Wostl, C. Transitions towards adaptive management of water facing climate and global change. Water Resources Management, 2007, 21(1), p. 49−62.

13. Seibert, J. Regionalisation of parameters for a conceptual rainfall–runoff model. Agricultural and Forest Meteorology, 1999, 98–99, p. 279−293.

14. Ziegler, A. D., Giambelluca, T. W., Tran, L. T., Vana, T. T., Nullet, M. A., Fox, J. M., ... Vien, T. D. Hydrological consequences of landscape fragmentation in mountainous northern Vietnam: Evidence of accelerated overland flow generation. Journal of Hydrology, 2004, 287(1–4), p. 124−146.

15. Zīverts, A., & Jauja, I. Mathematical model of hydrological processes METQ98 and its applications. Nordic Hydrology, 1999, 30(2), p. 109−128.

16. Zölch, T., Henze, L., Keilholz, P., & Pauleit, S. Regulating urban surface runoff through nature-based solutions—An assessment at the micro-scale. Environmental Research, 2017, 157, p. 135−144.

Downloads

Published

04-11-2025

How to Cite

Bakute, A., Grinfelde, I., & Groosman, M. (2025). Hydrological modelling for sustainable rural and urban landscapes in Latvia. Landscape Architecture and Art, 27(27), 38–42. https://doi.org/10.22616/j.landarchart.2025.27.05