Evidence map›Paper›PMID 42670990›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2026

Operationalising storage-discharge balance to enhance pluvial flood resilience: modelling and planning strategies in flat and sloping urban areas.

Shiyang Chen, Fabian Funke, Guangqi Liu, Frans van de Ven, Xiaowen Cheng, Chris Zevenbergen, Wolfgang Rauch, Manfred Kleidorfer

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Article in Water science and technology : a journal of the International Association on Water Pollution Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Shiyang ChenUniversity of Innsbruck, Innsbruck, Austria E-mail: Shiyang.Chen@uibk.ac.at; shiyang.chen07@gmail.com.ORCID https://orcid.org/0009-0005-2609-0096
Fabian FunkeUniversity of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0009-0007-7657-3509
Guangqi LiuChina Academy of Urban Planning and Design, Beijing, China.ORCID https://orcid.org/0009-0000-7849-9655
Frans van de VenDelft University of Technology, Delft, The Netherlands.ORCID https://orcid.org/0000-0003-4268-8918
Xiaowen ChengChina Academy of Urban Planning and Design, Beijing, China.ORCID https://orcid.org/0009-0009-8757-8123
Chris ZevenbergenDelft University of Technology, Delft, The Netherlands.ORCID https://orcid.org/0000-0003-0807-5253
Wolfgang RauchUniversity of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0000-0002-6462-2832
Manfred KleidorferUniversity of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0000-0002-4001-1711

Funding

Basic Scientific Research Fund of Ministry of Finance of PR China CZ-2022009BEJOND project funded by the Federal Ministry of Agriculture, Forestry, Regions and Water Management of Austria C000204BlueGreenCities project funded by the Austrian Climate and Energy Fund KR21KB0K00001Key Technologies Research and Development Program 2021YFC3001405
6 · The paper itself

Abstract

Storage and discharge are two fundamental solutions to strengthening pluvial flood resilience. Recent studies reveal that many urban catchments operate under a persistent storage-discharge imbalance, driven by urban densification. This 'imbalance' raises concerns in hydrologic, economic, spatial, and social aspects. This research aims to quantify the balanced relationship between storage capacity and discharge capacity (storage discharge balance, SDB) for pluvial flood protection and provide planning strategies for different urban topographies. We suggest and apply a quantification method using different modelling tools, hydrological and hydrodynamic models, in two cases with distinct physical and socioeconomic characteristics: one in a flat polder area in Nanjing, China, and the other in a sloping hilly area in Feldbach, Austria. By comparing these cases, insights are gained into the modelling methods, results, and proposed strategies for each context. The use of the SDB chart mapping framework supports the identification of both short- and long-term targets, as well as dynamic pathways toward enhanced flood resilience. These insights will facilitate multidisciplinary dialogue on key constraining factors, thereby enabling the co-creation of an actionable solution. While the quantitative findings are context-dependent, the novel approach can be applied to other cities to facilitate their resilience planning.

Indexed as

Disaster PlanningFloodsModels, TheoreticalAustriaChinaCitiesbalancedischargeflood resiliencemodellingplanningstorage

Identifiers

PMID42670990

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