School of Civil Engineering, Southeast University, Nanjing, 210096, China; Southeast University-Monash University Joint Research Centre for Future Cities, Nanjing, 210096, China; IHE Delft Institute for Water Education, P. O. Box 3015, 2611DA, Delft, the Netherlands; Department of Civil Engineering, Delft University of Technology (TU Delft), Gebouw 23, Stevinweg 1, 2628CN, Delft, the Netherlands.
School of Civil Engineering, Southeast University, Nanjing, 210096, China; Southeast University-Monash University Joint Research Centre for Future Cities, Nanjing, 210096, China.
J Environ Manage. 2022 Jan 15;302(Pt A):113956. doi: 10.1016/j.jenvman.2021.113956. Epub 2021 Oct 23.
Stormwater biofiltration systems (SBS) are a popular technology for mitigating the negative effects of urbanization on the hydrological processes and water quality in urban areas. However, little is known about SBS's long-term performance in actual field conditions. The findings of a review of the scientific literature on the long-term performance of SBS are presented in this paper. The findings show that only a few studies have investigated the performance of SBS and its change over time, and that the results of laboratory and field experiments differed due to the presence of plants, regular maintenance, and some uncertain environmental factors. Based on the existing knowledge gaps in this field, the main challenges observed was the lack of long-term field data series, and the existing mathematical models are not able to accurately forecast the long-term performance of SBS. This could be owing to the difficulties in monitoring activities, the high costs involved and the unpredictability around the operational timeframe. Future study should concentrate on the implementation of simulation and modeling-based research in pilot and full-scale SBS, and the inclusion of new performance indicators should be considered as a priority.
雨水生物过滤系统 (SBS) 是一种常用于减轻城市化对城市地区水文过程和水质产生负面影响的技术。然而,人们对 SBS 在实际现场条件下的长期性能知之甚少。本文介绍了对 SBS 长期性能的科学文献综述的研究结果。研究结果表明,只有少数研究调查了 SBS 的性能及其随时间的变化,并且由于植物的存在、定期维护以及一些不确定的环境因素,实验室和现场实验的结果有所不同。基于该领域的现有知识空白,主要挑战是缺乏长期的现场数据系列,并且现有的数学模型无法准确预测 SBS 的长期性能。这可能是由于监测活动的困难、成本高昂以及操作时间框架的不可预测性所致。未来的研究应集中在试点和全规模 SBS 中实施基于模拟和建模的研究,并应优先考虑纳入新的性能指标。