Modelling the Environment with Stakeholders

Theoretical Perspectives and Practical Applications for Transboundary River Management

Doctoral Thesis (2026)
Author(s)

H.D. Amorocho Daza (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

P. van der Zaag – Promotor (TU Delft - Civil Engineering & Geosciences)

J.H. Slinger – Promotor (TU Delft - Technology, Policy and Management)

Janez Sušnik – Copromotor (IHE Delft Institute for Water Education)

Research Group
Surface and Groundwater Hydrology
DOI related publication
https://doi.org/10.4233/uuid:4b9749c4-24a2-482f-abb2-0e8a172cd89f Final published version
More Info
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Publication Year
2026
Language
English
Defense Date
04-06-2026
Awarding Institution
Delft University of Technology
Research Group
Surface and Groundwater Hydrology
ISBN (print)
978-90-73445-83-3
Downloads counter
35
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Abstract

This dissertation engages with the wicked problem of agriculture-driven nutrient pollution in transboundary basins. The Lielupe River Basin, shared between Latvia and Lithuania, provides a practical example of this issue. This thesis proposes ways forward to address this problem by crafting and using environmental models in participatory and systematic ways.

Modelling the environment with stakeholders adopts a systems perspective in connecting theory with practice. Theoretically, we investigate how participation, uncertainty and ethics can be included in model development for socio-environmental problems. Practically, we explore the added value of implementing participatory modelling in transboundary river management using the Lielupe basin as a case study.

Researchers and practitioners can find two theoretical contributions: (1) a flexible 3-phase modelling framework for addressing socio-environmental issues; (2) a structured set of ethical questions when engaging in participatory modelling.

Empirical contributions are specific to the Lielupe River Basin yet provide insights that are potentially transferable to other cases. Our results indicate that moderate cooperative land-use change scenarios outperform ambitious unilateral actions, helping to achieve basin-wide water quality objectives a decade faster – a critical finding for the Baltic region and the achievement of EU water quality objectives. We also show that model evolution and participants’ learning are socially driven across and beyond a modelling cycle.

This thesis contributes towards a more reflective and transparent modelling practice. It provides environmental modellers with practical tools for jointly developing and using models with stakeholders. The dissertation concludes with a call to modellers to consider how modelling can support broader participatory engagement processes rather than how participatory engagement can support modelling.