The role of decision support tools in drought management: Insights from the Netherlands

Droughts have an increasing impact on the entire European continent. As the frequency and intensity of droughts rise in many parts of Europe, the implementation of effective drought adaptation and mitigation strategies becomes increasingly important. However, it is not known how diverse tools are used in drought management with increasing drought severity. This study explores the role of Decision Support Tools (DSTs) in strategic and operational drought management in the Netherlands. Through a survey among national and regional water authorities, this study shows the increasing reliance of water managers on field measurements, Data Information Systems (DISs), stakeholder consultation, and legislation with increasing drought severity. Weather forecasts and expert knowledge remain important throughout all drought management phases. Despite the increased use of DISs with drought severity, the use of hydrological models does not follow the same trend. DISs, which often incorporate hydrological models, reveal a ‘hidden’ use of these models. Rather than serving as ‘key artifacts’ for modelers, they become active ‘participants’ in broader data systems during advanced phases of drought management. All these aspects influence key responsibilities in model use including appropriateness and transferability, reproducibility, and transparency. These factors are critical to consider when aiming to bridge the gap between science and policy in the application and development of DSTs. • Increasing use of Decision Support Tools (DSTs) in higher drought management phases. • Data Information Systems (DISs) gain importance in higher phases with risk of “hidden” model use. • Critical consideration of key responsibilities in model use is essential.

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Publication Details

Journal
Environmental Science & Policy
Published
2025-04-17
DOI
https://doi.org/10.1016/j.envsci.2025.104065
Citations
2
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
2.21

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article

The role of decision support tools in drought management: Insights from the Netherlands

Petra Hellegers, Marleen Lam, Lieke Anna Melsen, Adriaan J. Teuling et al.
2 citations
Environmental Science & Policy
Hydrology and Drought Analysis
2.21
article

The role of decision support tools in drought management: Insights from the Netherlands

Petra Hellegers, Marleen Lam, Lieke Anna Melsen, Adriaan J. Teuling, Miriam Coenders‐Gerrits, Liduin Bos-Burgering, Ruud P. Bartholomeus, Pieter van Oel
article en
2 citations

Abstract

Droughts have an increasing impact on the entire European continent. As the frequency and intensity of droughts rise in many parts of Europe, the implementation of effective drought adaptation and mitigation strategies becomes increasingly important. However, it is not known how diverse tools are used in drought management with increasing drought severity. This study explores the role of Decision Support Tools (DSTs) in strategic and operational drought management in the Netherlands. Through a survey among national and regional water authorities, this study shows the increasing reliance of water managers on field measurements, Data Information Systems (DISs), stakeholder consultation, and legislation with increasing drought severity. Weather forecasts and expert knowledge remain important throughout all drought management phases. Despite the increased use of DISs with drought severity, the use of hydrological models does not follow the same trend. DISs, which often incorporate hydrological models, reveal a ‘hidden’ use of these models. Rather than serving as ‘key artifacts’ for modelers, they become active ‘participants’ in broader data systems during advanced phases of drought management. All these aspects influence key responsibilities in model use including appropriateness and transferability, reproducibility, and transparency. These factors are critical to consider when aiming to bridge the gap between science and policy in the application and development of DSTs. • Increasing use of Decision Support Tools (DSTs) in higher drought management phases. • Data Information Systems (DISs) gain importance in higher phases with risk of “hidden” model use. • Critical consideration of key responsibilities in model use is essential.

Environmental Science & PolicyVol. 168
Deltares (NL), KWR Water Research Institute (NL), Wageningen University & Research (NL), Delft University of Technology (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Climate action
Openalex Percentile: Top 14%
Hydrology and Drought Analysis
2.21
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