Integrated intra-storm predictive analysis and real-time control for urban stormwater storage to reduce flooding risk in cities
文献类型：期刊论文
| 作者 | Sun, Lanxin5; Xia, Jun4; She, Dunxian5; Guo, Qizhong1; Su, Yuming2; Wang, Wenyucheng5 |
| 刊名 | SUSTAINABLE CITIES AND SOCIETY
 |
| 出版日期 | 2023-05-01 |
| 卷号 | 92页码:104506 |
| 关键词 | Predictive real-time control (RTC) Peak outflow Optimization Storage capacity Urban stormwater management |
| DOI | 10.1016/j.scs.2023.104506 |
| 文献子类 | Article |
| 英文摘要 | Urban stormwater management has become an important aspect affecting the sustainable development of cities. Real-time control (RTC) of storage facilities is generally considered a cost-effective structural method for flood risk mitigation, but the capacity of storage is often limited by the available land space or local regulations. This study addresses the issue of integrating intra-storm predictive analysis and real-time control for enhancing the peak outflow reduction of a relatively small storage tank. A modified optimization-based approach is presented that utilizes the predicted peak inflow to quantify the required storage volume and subsequently determine the intra-storm release. A sponge city community in Shenzhen, China is selected as a demonstration study case. Numerical experiments based on historic rainfall events indicate that when the storage capacity is 43.9 m3/ha, the modified predictive RTC performs better in peak outflow reduction than an existing predictive RTC and rule-based RTC, with an improvement up to 22.7% and 58.2%, respectively. The modified approach also enhances system performance when storage capacities and rainfall depths vary from the base value. These findings highlight the potential of using the modified predictive RTC to sustainably reduce flood peaks even if the storage capacity is limited. |
| WOS关键词 | DRAINAGE SYSTEMS ; RTC ; OPTIMIZATION ; MANAGEMENT ; RUNOFF ; MODEL |
| WOS研究方向 | Construction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels |
| WOS记录号 | WOS:000972873300001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200808]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Rutgers State Univ, Dept Civil & Environm Engn, Piscataway, NJ 08854 USA 3.Jiangsu Yangtze River Delta Smart Water Res Inst, Nanjing 211500, Peoples R China 4.Wuhan Univ, Hubei Key Lab Water Syst Sci Sponge City Construct, Wuhan 430072, Peoples R China 5.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Lanxin,Xia, Jun,She, Dunxian,et al. Integrated intra-storm predictive analysis and real-time control for urban stormwater storage to reduce flooding risk in cities[J]. SUSTAINABLE CITIES AND SOCIETY,2023,92:104506. |
| APA | Sun, Lanxin,Xia, Jun,She, Dunxian,Guo, Qizhong,Su, Yuming,&Wang, Wenyucheng.(2023).Integrated intra-storm predictive analysis and real-time control for urban stormwater storage to reduce flooding risk in cities.SUSTAINABLE CITIES AND SOCIETY,92,104506. |
| MLA | Sun, Lanxin,et al."Integrated intra-storm predictive analysis and real-time control for urban stormwater storage to reduce flooding risk in cities".SUSTAINABLE CITIES AND SOCIETY 92(2023):104506. |
入库方式： OAI收割
来源：地理科学与资源研究所
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