From prediction to engagement: using technical models to enhance consultation in water management

Technical models are useful tool to address epistemic uncertainties but often fall short of attending to other types of uncertainty that characterize complex water challenges. It is unclear if and how they might be repositioned as a more deliberative tool to help deal with the many uncertainties related to problem framing, uncertain future conditions, and likely intervention effects at various scales. Through the case of a multi-stakeholder water quality project in East Java, Indonesia, this paper explores how technical systems modeling can be used to support consensus-building regarding the characterization of water pollution problems and adjacent policy goals, both in the use of outputs and in the process of model-making and attendant deliberation. The water quality model combines mapped terrestrial pollution source estimates with rainfall-runoff and pollution transport and fate process models to estimate localized, regional, and basin-wide impacts of various source-reduction scenarios on water quality. By visually identifying pollution source concentrations and illustrating estimated impacts of alternative strategies, the model offers a useful visual tool on which to anchor reframing discussions and scenario-building. In this way, the case demonstrates how modeling can be repositioned as an invitation for planners to simultaneously deliberate alternative problem structures alongside interventions to better deal with uncertainties inherent to water resources management.

Authors

Institutions

Publication Details

Journal
Policy Design and Practice
Published
2025-04-02
DOI
https://doi.org/10.1080/25741292.2025.2482294
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From prediction to engagement: using technical models to enhance consultation in water management

Maurits Ertsen, Gerard Pijcke, R. Schuyler Houser
Policy Design and Practice
Complex Systems and Decision Making
article

From prediction to engagement: using technical models to enhance consultation in water management

Maurits Ertsen, Gerard Pijcke, R. Schuyler Houser
article en

Abstract

Technical models are useful tool to address epistemic uncertainties but often fall short of attending to other types of uncertainty that characterize complex water challenges. It is unclear if and how they might be repositioned as a more deliberative tool to help deal with the many uncertainties related to problem framing, uncertain future conditions, and likely intervention effects at various scales. Through the case of a multi-stakeholder water quality project in East Java, Indonesia, this paper explores how technical systems modeling can be used to support consensus-building regarding the characterization of water pollution problems and adjacent policy goals, both in the use of outputs and in the process of model-making and attendant deliberation. The water quality model combines mapped terrestrial pollution source estimates with rainfall-runoff and pollution transport and fate process models to estimate localized, regional, and basin-wide impacts of various source-reduction scenarios on water quality. By visually identifying pollution source concentrations and illustrating estimated impacts of alternative strategies, the model offers a useful visual tool on which to anchor reframing discussions and scenario-building. In this way, the case demonstrates how modeling can be repositioned as an invitation for planners to simultaneously deliberate alternative problem structures alongside interventions to better deal with uncertainties inherent to water resources management.

Policy Design and PracticeVol. 8(3)
Deltares (NL), Delft University of Technology (NL)
Clean water and sanitation
Openalex Percentile: Top 93%
Complex Systems and Decision Making
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.