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Towards effective monitoring of urban stormwater for better design and management; pp. 176–199
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The lack of information due to insufficient data availability and an improper sampling method for stormwater generates constraint and uncertainty in addressing all storm events. In such conditions, it is difficult to assess actual concentrations and mass loads. This results in a backlog in decision-making for sustainable planning, design and policy formulation, e.g. retrofitting alternatives to traditional systems for reducing runoff and pollutants. It is essential to set standardized sampling and analysis procedures in order to achieve reliable and representative data. They need to be optimal and effective due to the costs and difficulties in sampling and analysis. The study reviews the effectiveness of largely best practiced sampling procedures in research papers. Likely site selection approaches, monitoring parameters and sample collection systems are compiled with their effectiveness, affordability and applicability. An optimal stormwater sampling programme is deducted and recommended for Tallinn stormwater catchment area. Moreover, the study provides an opportunity to select the suitable monitoring programme from the effective options such that it can be utilized to obtain coherent stormwater data.
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“While not all downspouts could be measured, this experimental design, where representative samples are collected, is common in stormwater-monitoring studies where diffuse nonpoint-source runoff enters a stormwater treatment facility or installation (Charbeneau and Barrett 1998; Maharjan et al. 2016; Othmer and Berger 2002; Regier and McDonald 2022).”
From Green Infrastructure in Series to Treat Stormwater Runoff from a Highway Overpass (2024) · cites this paper as Maharjan et al. 2016
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Storm water runoff concentration matrix for urban areas
Göbel, P., Dierkes, C., & Coldewey, W. G. (2007) · Journal of Contaminant Hydrology · doi:10.1016/j.jconhyd.2006.08.008 · Cited by 667 · cited 2×
“A broad range of contaminant profiles has been reported in previous studies about common pollutants and sources around the world [3], and large variations may even be found in a single catchment [2].”
BackgroundPriority Pollutants in Urban Stormwater: Part 1 — Case of Separate Storm Sewers
Zgheib, S., Moilleron, R., & Chebbo, G. (2012) · Water Research · doi:10.1016/j.watres.2011.12.012 · Cited by 323
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Metadata
- Authors
- Maharjan, B., Pachel, K., & Loigu, E.
- Affiliations
- Tallinn University of Technology (EE)
- ORCID
- Pachel, Karin
- Venue
- Estonian Journal of Earth Sciences
- Publisher
- Estonian Academy Publishers
- Published
- 2016-08-23
- Volume
- 65
- Issue
- 3
- Pages
- 176-199
- ISSN
- 1406-0132 (ISSN-L)
- 1736-4728
- OpenAlex
- W2517742321
- Cited by
- 13
- References
- 2
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 2 · 2023: 1 · 2021: 2 · 2019: 1 · 2018: 2
- FWCI
- 0.55
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Proceedings of the Estonian Academy of Sciences Geology (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Stormwater Management Solutions
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Physical Sciences › Environmental Science › Water Science and Technology › Water Quality and Pollution Assessment
- Keywords
- urban stormwater, stormwater monitoring, sampling methods, sampling site selection, monitoring parameters, stormwater quality, stormwater management
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