Diagnosing governance and data gaps in urban groundwater management with a transferable workflow based methodology evidenced in Munich

Abstract Urban groundwater management is emerging as a critical sustainability challenge in European cities under accelerating pressures of climate change and urbanization. Despite substantial investment in monitoring infrastructure and technical expertise, effective groundwater management remains constrained by institutional fragmentation across multiple departments and authorities with dispersed responsibilities, disconnected data systems, and limited coordination. In the two Munich processes examined, the main barrier lay not in technical knowledge, but in institutional governance. The objective of this paper is to develop and demonstrate a methodology that improves the institutional governance of urban groundwater management. The paper applies a four-step Data-Governance Diagnostic combining stakeholder engagement, data assessment, governance workflow analysis, and prioritization of critical gaps, illustrated through two Munich application cases: rainwater infiltration under the Sponge City strategy and thermal groundwater use under the Municipal Heating Plan. Findings show that recurring problems, fragmented data infrastructures, limited digitalization, and data-sharing restrictions, are symptoms of deeper governance weaknesses. Groundwater data can only deliver practical value when embedded in governance systems that enable coordination, accessibility, and effective use in decision-making. The novelty is threefold: a practitioner-friendly step-by-step diagnostic applicable directly by municipalities; a structured output making principal data and governance gaps explicit and actionable; and the demonstration that these gaps are mutually reinforcing and must be addressed simultaneously. Future research should validate the methodology across cities of varying size, institutional capacity, and stage of urban development outside the Alpine context. An interactive workshop-based tool is currently under development to support application in observer cities. A key open scientific question emerging from the Munich cases is whether rainwater infiltration measures produce measurable effects on groundwater recharge at city scale, it remains unclear both how much these measures actually contribute to recharge and whether this contribution is large enough to be relevant for groundwater management. Resolving this requires dedicated city-scale monitoring and quantitative assessment.

Authors

Publication Details

Journal
Discover Water
Published
2026-10-08
DOI
https://doi.org/10.1007/s43832-026-00466-4
Primary Topic
Environmental Monitoring and Data Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnosing governance and data gaps in urban groundwater management with a transferable workflow based methodology evidenced in Munich

Walter Timo de Vries, Daphne Gondhalekar, Kai Zosseder, Cristina Astudillo
Discover Water
Environmental Monitoring and Data Management
article

Diagnosing governance and data gaps in urban groundwater management with a transferable workflow based methodology evidenced in Munich

Walter Timo de Vries, Daphne Gondhalekar, Kai Zosseder, Cristina Astudillo
article en

Abstract

Abstract Urban groundwater management is emerging as a critical sustainability challenge in European cities under accelerating pressures of climate change and urbanization. Despite substantial investment in monitoring infrastructure and technical expertise, effective groundwater management remains constrained by institutional fragmentation across multiple departments and authorities with dispersed responsibilities, disconnected data systems, and limited coordination. In the two Munich processes examined, the main barrier lay not in technical knowledge, but in institutional governance. The objective of this paper is to develop and demonstrate a methodology that improves the institutional governance of urban groundwater management. The paper applies a four-step Data-Governance Diagnostic combining stakeholder engagement, data assessment, governance workflow analysis, and prioritization of critical gaps, illustrated through two Munich application cases: rainwater infiltration under the Sponge City strategy and thermal groundwater use under the Municipal Heating Plan. Findings show that recurring problems, fragmented data infrastructures, limited digitalization, and data-sharing restrictions, are symptoms of deeper governance weaknesses. Groundwater data can only deliver practical value when embedded in governance systems that enable coordination, accessibility, and effective use in decision-making. The novelty is threefold: a practitioner-friendly step-by-step diagnostic applicable directly by municipalities; a structured output making principal data and governance gaps explicit and actionable; and the demonstration that these gaps are mutually reinforcing and must be addressed simultaneously. Future research should validate the methodology across cities of varying size, institutional capacity, and stage of urban development outside the Alpine context. An interactive workshop-based tool is currently under development to support application in observer cities. A key open scientific question emerging from the Munich cases is whether rainwater infiltration measures produce measurable effects on groundwater recharge at city scale, it remains unclear both how much these measures actually contribute to recharge and whether this contribution is large enough to be relevant for groundwater management. Resolving this requires dedicated city-scale monitoring and quantitative assessment.

Discover WaterVol. 6(1)
Openalex Percentile: Top 10%
Environmental Monitoring and Data Management
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.