M. Marchioni, Anita Raimondi, M. G. Di Chiano, G. Becciu
{"title":"Permeable pavement hydraulic optimization by using an analytical-probabilistic model","authors":"M. Marchioni, Anita Raimondi, M. G. Di Chiano, G. Becciu","doi":"10.2166/bgs.2023.016","DOIUrl":null,"url":null,"abstract":"\n On-source storage controls are a sustainable solution for stormwater management in a scenario of continuous urban area growth. Structures that manage storage volumes through infiltration include extra environmental benefits, such as groundwater recharge, evapotranspiration, and pollutant load removal. Permeable pavement systems are among these controls and can easily integrate into dense urban areas, resulting in paved surfaces contributing to stormwater management. The shift toward on-source strategies is encouraged through regulations, policies, incentives, and awareness campaigns, which are substantially increasing their dissemination. Optimizing the design of on-source storage controls with infiltration, such as permeable pavement systems, through robust methodologies can reduce reservoir depth, reducing environmental impact and costs without impact on reliability. The analytical-probabilistic (AP) method using derived probability distribution theory from rainfall event characteristics and the mathematical description of hydrologic processes within the permeable pavement systems provides an analytical equation that can be used as a design tool, proving robustness analogous with continuous simulations. Results obtained with the AP method were compared with traditional event-based methodologies and continuous simulation, assessing the reliability of the proposed method in optimizing permeable pavement systems' reservoir depth.","PeriodicalId":9337,"journal":{"name":"Blue-Green Systems","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blue-Green Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2166/bgs.2023.016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
On-source storage controls are a sustainable solution for stormwater management in a scenario of continuous urban area growth. Structures that manage storage volumes through infiltration include extra environmental benefits, such as groundwater recharge, evapotranspiration, and pollutant load removal. Permeable pavement systems are among these controls and can easily integrate into dense urban areas, resulting in paved surfaces contributing to stormwater management. The shift toward on-source strategies is encouraged through regulations, policies, incentives, and awareness campaigns, which are substantially increasing their dissemination. Optimizing the design of on-source storage controls with infiltration, such as permeable pavement systems, through robust methodologies can reduce reservoir depth, reducing environmental impact and costs without impact on reliability. The analytical-probabilistic (AP) method using derived probability distribution theory from rainfall event characteristics and the mathematical description of hydrologic processes within the permeable pavement systems provides an analytical equation that can be used as a design tool, proving robustness analogous with continuous simulations. Results obtained with the AP method were compared with traditional event-based methodologies and continuous simulation, assessing the reliability of the proposed method in optimizing permeable pavement systems' reservoir depth.
在城市地区持续增长的情况下,源头蓄水控制是一种可持续的雨水管理解决方案。通过渗透来管理存储量的结构具有额外的环境效益,如地下水补给、蒸发蒸腾和污染物负荷清除。可渗透路面系统就是这些控制措施中的一种,它可以很容易地融入密集的城市地区,从而使铺设好的路面为雨水管理做出贡献。我们通过法规、政策、激励措施和宣传活动鼓励向源上策略转变,这些措施正在大幅提高源上策略的普及率。通过可靠的方法优化设计具有渗透功能的源上蓄水控制,如透水铺装系统,可以减少蓄水池深度,在不影响可靠性的情况下减少对环境的影响和成本。分析-概率(AP)方法利用从降雨事件特征中推导出的概率分布理论和透水铺装系统内水文过程的数学描述,提供了一个可用作设计工具的分析方程,证明了与连续模拟类似的稳健性。使用 AP 方法得出的结果与传统的基于事件的方法和连续模拟进行了比较,评估了所建议的方法在优化透水路面系统蓄水池深度方面的可靠性。