Effects of low impact development on the stormwater runoff and pollution control
Graphical abstract
Introduction
In recent years, the increase of impervious surfaces in cities due to accelerated urbanization and the frequent occurrence of extreme rainfall events caused by climate change had eventually led to urban diseases such as waterlogging and flooding in cities (Leng et al., 2020; Wang et al., 2020). Flooding and waterlogging not only cause significant property damage and loss of human life but also cause the pollution of water bodies and impacts on the ecosystem (Baek et al., 2020; Bixler et al., 2020). Therefore, the exploration of stormwater management measures, especially flood reduction and environment protection measures, is an urgent issue, leading to widespread concern from scholars and engineers.
Traditional stormwater management relying on drainage system retrofitting is not adaptive to climate change and accelerated urbanization (Kourtis et al., 2020) and is also insufficient for managing stormwater pollution (Jiang et al., 2018). Recently, the construction of Sponge City in China, also known as Sustainable Urban Drainage System (SUDS) in England, Water Sensitive Urban Design (WSUD) in Australia, and LID in North America, has brought light to widely used urban stormwater management and proven effective in practical stormwater management (Nguyen et al., 2020). The purpose of LID implementation is to restore the city to its natural state, and the main element is to restore the natural circulation of runoff (Eckart et al., 2017). It can enhance stormwater runoff reduction, peak flow reduction, peak time lag, and pollutant reduction by increasing retain, infiltration, and so on (Ma et al., 2019; Qin et al., 2013; Taghizadeh et al., 2021; Wang et al., 2021).
The drainage modeling, such as Stormwater management model (SWMM), MIKE Urban, InfoWorks ICM, and other hydrological models, has been widely reported to be applied to stormwater management and achieved satisfied results (Baek et al., 2015; Song et al., 2020; Tan et al., 2019). As an inspiring strategy for urban flood control, numerous studies have focused on LID practices including flood reduction analysis, location selection, combined LID scheme determination, and so on (dos Santos et al., 2021; Liao et al., 2015; Samouei and Özger, 2020; Yao et al., 2020). However, the capacity of Sponge City is not only applied for the runoff control but also for the pollutant reduction (Zheng et al., 2021). Recently, the issues on stormwater pollution from have aroused the attention of the public (Zhang et al., 2021b). Compared to the runoff control, the migration process of the stormwater pollutants including the build-up, wash-off, and discharge approaches is complex (Bonhomme and Petrucci, 2017). In terms of the build-up process, the accumulation of the pollutant of the study area is described during the dry weather, which can be influenced by antecedent dry-weather periods (ADWP) and land use (Yang et al., 2021b). The wash-off process can describe the flushing of pollutants by the surface runoff during the wet weather, which can be affected by the rainfall pattern and the build-up approach (Zhao and Li, 2013). The discharge approach reflects the transport of pollutants through the drainage system. The drainage modeling can provide the full understanding of the pollutant migration process and optimize the strategy on the stormwater pollution on a city scale by using both hydraulic and water quality models (Xiong et al., 2021). In this regard, consequently, the drainage modeling can be selected as a tool for this study.
Most studies have focused on the single influencing factor (e.g., rainfall pattern) for the LID implementation assessment, which is insufficient for stormwater runoff and pollution control. Except for the rainfall pattern, the performance of the LID practices can also be influenced by their implementation strategy and characteristics. Hence, it is necessary to assess the complex interactive effect among different influencing factors on the performance of the LID practices (Yang et al., 2021b).
Therefore, in this study, an integrated hydraulic and water quality model was employed to assess (1) the runoff and pollutant variation before and after the implementation of the LID practices, and (2) the different influencing factors (i.e., rainfall intensity, ADWP, different location, different combination methods, and the characteristics of LID practices) on the hydrological and pollution reduction performance of the LID practices. The results of this study would promote the new urban stormwater management by completely analyzing the LID practices.
Section snippets
Material and methods
Fig. 1 showed the flowchart of the research methodology to better understand the main research methodology. Firstly, the hydrological and water quality model was constructed, calibrated, and validated based on the stormwater pipe network, land use, sub-catchments division, and monitored rainfall. Then, the design rainfall of two different scenarios was selected to evaluate the performance of the LID practices including the quantity and quality goals. The different effects on the performance of
LID practices selection
According to the previous study, many LID practices were developed and used, e.g., rain garden, bio-retention, vegetative swale, and so on. The choice of LID practices is influenced by many factors such as the control effect, site conditions, operation, and management cost. Therefore, the LID practices are selected based on previous literature and land use of the study area in this section. The effects of common LID practices and their applicability are summarized in Table 2. Based on the
Conclusions
In this study, the hydraulic and water quality model were used to analyze the effects of hydrological patterns and ADWP on the hydrological and pollution reduction effect of the LID practices under the different horizontal installed location and vertical parameter settings. The main findings are as follows.
The parameters of the vertical layer of LID practice are not same to SS removal ability. After sensitivity analysis, four parameters were more sensitive to SS load and peak concentration of
CRediT authorship contribution statement
Gongduan Fan organized the framework of the article, experiments and wrote the paper. Zhongqing Wei and Ruisheng Lin processed the experimental data and modified the article. Yiqing Song was helpful in polishing language and improved text layout. Haidong Shangguan contributed to the collection and collation of experimental data and participated in the writing of the paper.
Declaration of competing interest
The authors declare no conflict of interest.
Acknowledgements
This research was financially supported by the National Natural Science Foundation of China (No. 51778146), and the Outstanding Youth Fund of Fujian Province in China (No. 2018J06013). We thank the anonymous reviewers and editors for providing valuable suggestions and comments for improving the quality of this paper.
References (67)
- et al.
Modeling flood reduction effects of low impact development at a watershed scale
J. Environ. Manag.
(2016) - et al.
Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: experimental and modeling approach
Water Res.
(2015) - et al.
A novel water quality module of the SWMM model for assessing low impact development (LID) in urban watersheds
J. Hydrol.
(2020) - et al.
A spatial life cycle cost assessment of stormwater management systems
Sci. Total Environ.
(2020) - et al.
Should we trust build-up/wash-off water quality models at the scale of urban catchments?
Water Res.
(2017) - et al.
Performance evaluation of time-sharing utilization of multi-function sponge space to reduce waterlogging in a highly urbanizing area
J. Environ. Manag.
(2020) - et al.
Assessing cost-effectiveness of specific LID practice designs in response to large storm events
J. Hydrol.
(2016) - et al.
Controlling rainwater storage as a system: an opportunity to reduce urban flood peaks for rare, long duration storms
Environ. Model Softw.
(2019) - et al.
Performance and implementation of low impact development – a review
Sci. Total Environ.
(2017) - et al.
Sensitivity analysis of distributed environmental simulation models: understanding the model behaviour in hydrological studies at the catchment scale
Reliab. Eng. Syst. Saf.
(2003)
Is the sponge city construction sufficiently adaptable for the future stormwater management under climate change?
J. Hydrol.
Evaluating the effect of urban flooding reduction strategies in response to design rainfall and low impact development
J. Clean. Prod.
Construction of the sponge city regulatory detailed planning index system based on the SWMM model
Environ. Technol. Innov.
Urban pluvial flooding and stormwater management: a contemporary review of China’s challenges and “sponge cities” strategy
Environ. Sci. Pol.
Not all SuDS are created equal: impact of different approaches on combined sewer overflows
Water Res.
A robust approach for comparing conventional and sustainable flood mitigation measures in urban basins
J. Environ. Manag.
Performance assessment of coupled green-grey-blue systems for Sponge City construction
Sci. Total Environ.
Multi-objective optimization for green-grey infrastructures in response to external uncertainties
Sci. Total Environ.
Design of low impact development in the urban context considering hydrological performance and life-cycle cost
J. Flood Risk Manag.
Evaluating green stormwater infrastructure strategies efficiencies in a rapidly urbanizing catchment using SWMM-based TOPSIS
J. Clean. Prod.
Influence of low impact development practices on urban diffuse pollutant transport process at catchment scale
J. Clean. Prod.
Integrated assessments of green infrastructure for flood mitigation to support robust decision-making for sponge city construction in an urbanized watershed
Sci. Total Environ.
A new model framework for sponge city implementation: emerging challenges and future developments
J. Environ. Manag.
The effects of low impact development on urban flooding under different rainfall characteristics
J. Environ. Manag.
Assessing stormwater control measures using modelling and a multi-criteria approach
J. Environ. Manag.
Hybrid SWMM and particle swarm optimization model for urban runoff water quality control by using green infrastructures (LID-BMPs)
Urban For. Urban Green.
Effluent application to the land: changes in soil properties and treatment potential
Ecol. Eng.
Assessing performance of porous pavements and bioretention cells for stormwater management in response to probable climatic changes
J. Environ. Manag.
Cost-benefit analysis of low-impact development at hectare scale for urban stormwater source control in response to anticipated climatic change
J. Environ. Manag.
How do urban rainfall-runoff pollution control technologies develop in China? A systematic review based on bibliometric analysis and literature summary
Sci. Total Environ.
Strategy of rainwater discharge in combined sewage intercepting manhole based on water quality control
Water
Build-up dynamics of heavy metals deposited on impermeable urban surfaces
J. Environ. Manag.
An integrated assessment of urban flooding mitigation strategies for robust decision making
Environ. Model Softw.
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