Evidence map›Paper›PMID 36160371›Full record

ArticleEnvironmental science and ecotechnology2020

Measuring performance of low impact development practices for the surface runoff management.

Wenyu Yang, Kurt Brüggemann, Kiwanuka David Seguya, Ehtesham Ahmed, Thomas Kaeseberg, Heng Dai, Pei Hua, Jin Zhang, Peter Krebs

Erratum issuedAbstract read
In one paragraph

Article in Environmental science and ecotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Wenyu YangBrandenburgische Technische Universität, 03046, Cottbus, Germany.
Kurt BrüggemannInstitute for Integrated Management of Material Fluxes and of Resources, United Nations University, 01067, Dresden, Germany.
Kiwanuka David SeguyaInstitute of Urban and Industrial Water Management, Technische Universität Dresden, 01062, Dresden, Germany.
Ehtesham AhmedInstitute of Urban and Industrial Water Management, Technische Universität Dresden, 01062, Dresden, Germany.
Thomas KaesebergZweckverband Wasserversorgung Meißner Hochland, 01683, Nossen, Germany.
Heng DaiInstitute of Groundwater and Earth Sciences, Jinan University, 510632, Guangzhou, China.
Pei HuaSCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, 510006, Guangzhou, China.
Jin ZhangInstitute of Groundwater and Earth Sciences, Jinan University, 510632, Guangzhou, China.
Peter KrebsInstitute of Urban and Industrial Water Management, Technische Universität Dresden, 01062, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous urbanization over the last few years has led to the increase in impervious surfaces and stormwater runoff. Low Impact Development (LID) is currently receiving increased attention as a promising strategy for surface runoff management. To analyze the performance of LID practices for surface runoff management, a long-term hydrological modeling from 2001 to 2015 along with a cost-effectiveness analysis were carried out on a campus in Dresden, Germany. Seven LID practices and six precipitation scenarios were designed and simulated in a Storm Water Management Model (SWMM). A cost-effectiveness analysis was conducted by calculating the life-cycle costs and runoff removal rate of LID practices. Results demonstrated that the LID practices significantly contributed to surface runoff mitigation in the study area. The LID performance was primarily affected by the length of the precipitation scenarios and LID implementing schemes. The runoff removal rate of the LID practices fluctuated significantly when the rainfall scenario was shorter than 12 months. When the rainfall scenario exceeded 1 year the effects on the runoff removal rate was constant. The combination of an infiltration trench, permeable pavement, and rain barrel (IT ​+ ​PP ​+ ​RB), was the best runoff control capacity with a removal rate ranging from 23.2% to 27.4%. Whereas, the rain barrel was the most cost-effective LID option with a cost-effectiveness (C/E) ratio ranged from 0.34 to 0.41. The modeling method was improved in this study by conducting long-term hydrological simulations with different durations rather than short-term simulations with single storms. In general, the methods and results of this study provided additional improvements and guidance for decision-making process regarding the implementation of appropriate LID practices.

Indexed as

Cost-effectiveness analysisDecision-making processLow impact developmentStormwater management model

Identifiers

PMID36160371
PMCPMC9488043

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.