Journal: Water Science & Technology

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Abbreviation

Water sci. technol.

Publisher

IWA Publishing

Journal Volumes

ISSN

0273-1223
1996-9732

Description

Search Results

Publications1 - 10 of 80
  • Kaelin, D.; Rieger, L.; Eugster, J.; et al. (2008)
    Water Science & Technology
  • Durrenmatt, David J.; Gujer, Willi (2012)
    Water Science & Technology
  • Boehler, M.; Joss, A.; Buetzer, S.; et al. (2007)
    Water Science & Technology
  • Van der Werf, Job Augustijn; Pons, Vincent; Smyth, Kelsey; et al. (2025)
    Water Science & Technology
    This opinion paper reflects on the current challenges facing urban drainage systems (UDS) research, along with solutions for fostering sustainable development. Over the course of a year-long project involving 92 participants aged 24-38, including PhD candidates, post-doctoral researchers, and early-career academics, we identified critical challenges and opportunities for the sustainable development of UDS. Our exploration highlights four key challenges: limited public visibility leading to resource constraints, insufficient collaboration across subfields, issues with data scarcity and data sharing, and geographical specificities. We emphasise the importance of raising public and political awareness regarding UDS's vital role in climate adaptation and urban resilience, advocating for blue-green infrastructure and open data practices. Additionally, we address systemic academic barriers that hinder innovative research. We call for a shift away from metrics that prioritise quantity over quality. We recommend establishing stable career pathways that empower early-career researchers. This paper aims to catalyse a broader community dialogue about the future of UDS research, uniting voices from various career stages. By presenting actionable recommendations, we aim to inspire fundamental changes in research conduct, evaluation, and sustainability, ensuring the field of UDS is prepared to meet pressing urban water management challenges worldwide.
  • Prodanovic, Veljko; Jamali, Behzad; Kuller, Martijn; et al. (2022)
    Water Science & Technology
    Planning for future urban development and water infrastructure is uncertain due to changing human activities and climate. To quantify these changes, we need adaptable and fast models that can reliably explore scenarios without requiring extensive data and inputs. While such models have been recently considered for urban development, they are lacking for stormwater pollution assessment. This work proposes a novel Future Urban Stormwater Simulation (FUSS) model, utilizing previously developed urban planning algorithm (UrbanBEATS) to dynamically assess pollution changes in urban catchments. By using minimal input data and adding stochastic point-source pollution to the build-up/wash-off approach, this study highlights calibration and sensitivity analysis of flow and pollution modules, across the range of common stormwater pollutants. The results highlight excellent fit to measured values in a continuous rainfall simulation for the flow model, with one significant calibration parameter. The pollution model was more variable, with TSS, TP and Pb showing high model efficiency, while TN was predicted well only across event-based assessment. The work further explores the framework for the model application in future pollution assessment, and points to the future work aiming to developing land-use dependent model parameter sets, to achieve flexibility for model application across varied urban catchments.
  • Boehler, M.; Zwickenpflug, Benjamin; Hollender, J.; et al. (2012)
    Water Science & Technology
  • Hoehn, E.; Plumlee, M. H.; Reinhard, M. (2007)
    Water Science & Technology
  • Joss, A.; Böhler, M.; Wedi, D.; et al. (2009)
    Water Science & Technology
  • Shi, Baiqian; Catsamas, Stephen; Deletic, B.; et al. (2022)
    Water Science & Technology
    Illicit discharges in urban stormwater drains are a major environmental concern that deteriorate downstream waterway health. Conventional detection methods such as stormwater drain visual inspection and dye testing all have their fundamental drawbacks and limitations which might not easily locate and eliminate illegal discharges in a catchment. We deployed 22 novel low-cost level, temperature and conductivity sensors across an urban catchment in Melbourne for a year to monitor the distributed drainage network, thereby detecting likely illicit discharges ranging from a transitory flow with less than 10 minutes to persistent flows lasting longer than 20 hours. We discuss rapid deployment methods, real-time data collection and online processing. The ensemble analysis of all dry weather flow data across all sites indicates that: (i) large uncertainties are associated with discharge frequency, duration, and variation in water quality within industrial and residential land uses; (ii) most dry weather discharges are intermittent and transient flows which are hard to be detected and not simply due to cross-connections with the sewerage network; (iii) detectable diurnal discharge patterns can support mitigation efforts, including policies and regulatory measures (e.g., enforcement or education) to protect receiving waterways; and, (iv) that it is possible to cost effectively isolate sources of dry weather pollution using a distributed sensor network.
  • Feitkenhauer, H.; Maleski, R.; Märkl, H. (2003)
    Water Science & Technology
Publications1 - 10 of 80