Urban Runoff Control and Sponge City Construction: Important Topics
2. Summary of This Special Issue
Covering the methods and tools aspects, Aldrees et al. (contribution 1) wrote a comprehensive review on the application of Analytical Probabilistic Models (APMs) in urban runoff control systems’ planning and design. APMs are closed-form mathematical expressions representing a long-term system’s output performance derived from the probability distribution of the system’s input variables. Once derived, APMs are easy to handle, allow for sensitive analysis, and can be co-opted into optimization frameworks. The implementation of APMs in the planning and design of runoff control systems will not only help address the runoff quantity and quality problems of urban stormwater but will also go a long way in optimizing the benefits derived from these systems. Zhao et al. (contribution 2) presented a comparative cross-nation study of the transition to more sustainable stormwater management (SSWM) in the United States and China. Multi-level perspective and multiphase models were used to examine the transition dynamics and reflect on how transition theory explains the changes within federal and socialist contexts. The main difference between the transition processes in the United States and China is the extent to which niche level innovations are developed, especially in the type of actors and activities investigated. Le et al. (contribution 3) proposed integrating Non-Targeted Ecosystem Services into Assessment of Natural Stormwater Treatment Systems. Usually, the design of Natural Stormwater Treatment Systems (NTSs) targets water services; however, the biological communities associated with NTSs (i.e., plants, animals, and microbes) can provide non-targeted functions that result in ecosystem services, such as biodiversity, pollination, and climate regulation, or, in some cases, disservices. Additional co-benefits of NTSs include recreation, education and outreach opportunities, and aesthetic value. As NTSs become globally widespread, best practices must include the ability to holistically assess NTS performance in ways that extend beyond water treatment services.
In order to identify the Impact of Storm Characteristics on Infiltration Dynamics in Sponge Cities, Yang et al. (contribution 4) used the Horton method within the stormwater management model to investigate how uniform and Chicago storm parameters affect infiltration rates. Their findings provide the following valuable insights: (1) Increasing the porous pavement area proportionally reduces subarea sizes within subcatchments, and the infiltration rates of porous pavements are supply-controlled. (2) Uniform storms result in consistent initial infiltration rates across pervious areas, subcatchments, and the entire catchment. The duration of this stable state decreases with higher return periods. Catchment infiltration volumes exhibit linear growth with greater storm intensities. (3) Peak infiltration rates and moments for pervious areas, subcatchments, and the overall catchment exhibit correlations with both the return period and the time-to-peak coefficient. This study quantifies the influence of design storm parameters for infiltration, providing valuable insights for stormwater infrastructure design and urban stormwater control.
In sponge city construction, the optimization of sponge facility combinations at the urban block-level is a very important aspect. Xie et al. (contribution 5) utilized a residential complex in Nanjing as a practical example, selected six types of typical sponge facilities to construct a multi-objective optimization combination model for sponge facilities, and employed the Strength Pareto Evolutionary Algorithm (SPEA-2) to determine the optimal combination of sponge facility types and quantities. Cao et al. (contribution 6) used InfoWorks ICM to simulate the properties of runoff and determine the optimal LID design of a residential site in Yixing, China, based on four practical rainfall events. In this study, the software was redeveloped using Ruby object-oriented programming to improve its efficiency in uncertainty analysis using the Generalized Likelihood Uncertainty Estimation method. The simulated runoff was in good agreement with the observed discharge.
The coupling of gray and green infrastructure is another focus in sponge city construction; however, due to the complexity of the process and the diversity of the benefits, there are no measurements of the comprehensive benefits. Adopting a typical university campus in Beijing as an example, Wang et al. (contribution 7) simulated the multidimensional benefits to the water quantity, water quality, and ecology of a gray and green facility renovation by coupling the stormwater management model (SWMM) and InfoWorks Integrated Catchment Management (ICM). Monetization methods and economical means were employed to characterize the comprehensive benefits.
Within the studies of typical source control facilities, Lee et al. (contribution 8) assessed the performance of permeable pavement in mitigating flooding in urban areas. In this study, demonstration roads using a general pavement and a permeable pavement were built on Dahua North Street, Taoyuan City; rainwater was stored in a central irrigation ditch and a permeable pavement through an innovative construction method for reuse in agricultural irrigation. Monitoring instruments and management systems were built to analyze the actual discharge and peak discharge of the permeable pavement and general pavement. The results show that the permeable pavement can effectively reduce the peak discharge by 60~75%, which can not only achieve the benefit of low-impact development but can also reuse rainwater. To understand the occurrence of preferential flow in the vegetated artificial substrates of green roofs, Chen et al. (contribution 9) established an experiment with various plant substrate combinations that involved two Sedum species and two artificial substrates for three depths of 6, 10, and 14 cm. Thereafter, solute breakthrough experiments were conducted, followed by inverse and forward modeling in Hydrus-1D. To assess the performance of a rain garden in a red soil area in southern China, Chen et al. (contribution 10) built a rain garden in Nanchang city, where the local soil is red soil and has low organic carbon, strong acidity, and low permeability rainfall characteristics. Rainfall runoff control and pollutant removal efficiencies were studied based on the on-site conditions. The analysis of almost 2 years of field data showed that the volume capture ratio of annual rainfall and the mean load removal of TSS, NH3-N, TP, TN, COD, and NO3-N met the technical guidelines for sponge city construction in Nanchang.
In order to evaluate the actual runoff control effects of LID combination, Zhang et al. (contribution 11) used the real hydrological monitoring data collected from Lingang New City in Shanghai to analyze the retention and lag characteristics of rainfall–runoff in LID combinations under three rainfall-intensity scenarios (light–moderate, heavy, and torrential rainfall). The LID facilities were constructed over three years in the target study area, including rain gardens, retention ponds, green parking, porous pavement, and grass swales. The results confirmed the vital role of the LID combination in stormwater management and the hydrological impact of the LID combination on rainfall-induced runoff retention and lag effects.
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