Construction of the sponge city regulatory detailed planning index system based on the SWMM model

Ji, Meicheng; Bai, Xue

doi:10.1016/j.eti.2021.101645

Cited by 19 publications

(10 citation statements)

References 16 publications

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“…Chinese and foreign scholars have put forward some identification methods and preventive measures against violations in the power market. Ji and Bai and others built a regulatory index system to judge the use of market power on the generation side [3]. Kulikov and others built a framework for identifying violations in the whole process of electricity market transactions [4].…”

Section: Literature Reviewmentioning

confidence: 99%

Hazard Trend Identification Model Based on Statistical Analysis of Abnormal Power Generation Behavior Data

Qian

et al. 2022

International Transactions on Electrical Energy Systems

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In order to solve the problem of abnormal data identification for key indicators with the deepening and development of power enterprise reform, this paper proposes a method of dangerous trend identification model based on a statistical analysis of abnormal power generation behavior data. The method includes a data access scheme, feature extraction scheme, and anomaly detection algorithm. The experimental results show that the proportion of users whose electricity consumption behavior conforms to the peak period electricity consumption > normal period electricity consumption > valley period electricity consumption exceeds 90%. More than 85% of users’ electricity consumption behavior is in line with the proportion of electricity consumption that is less than 0.25 in millet hours. The proportion of users whose fluctuation coefficient of electricity consumption in the valley period is less than 1 exceeds 85%, and 99.9% of users’ fluctuation coefficient of electricity consumption in the valley period is less than 5, which proves that abnormal power generation behavior data and abnormal power consumption data can bring early warning to some dangerous power consumption behaviors. The statistical analysis model of abnormal power generation behavior data can play a positive role in the identification of dangerous trends.

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Section: Literature Reviewmentioning

confidence: 99%

Hazard Trend Identification Model Based on Statistical Analysis of Abnormal Power Generation Behavior Data

Qian

et al. 2022

International Transactions on Electrical Energy Systems

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“…SWMM is a dynamic precipitation and runoff simulation model, which is mainly used to simulate a single precipitation event or long-term water and water quality simulation in urban area, and it is characterized by open source code, simple operation, and fast simulation speed [27]. SWMM has been widely used in small-area, multi-feature urban area research due to its advantages of low cost, small size, fast speed, simple operation, being easy to master, and secondary development [28]. The SWMM core is a typical unsteady flow model that includes dynamic rainfall and runoff calculation modules that can simulate the water quantity and water quality of urban rainfall and runoff processes instantaneously or continuously in a specified period of time [29].…”

Section: Simulation Model and Methodsmentioning

confidence: 99%

“…SWMM provides three options for the infiltration equation: the Horton equation, the Green-AMPT method, and the SCS-CNO method [28]. Among these options, Horton's infiltration formula is an empirical formula for calculating the infiltration curve, which was established by R.E.…”

Section: Simulation Model and Methodsmentioning

confidence: 99%

Simulation and Evaluation of Rainwater Runoff Control, Collection, and Utilization for Sponge City Reconstruction in an Urban Residential Community

Wang

Zhou

et al. 2022

Sustainability

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Residential areas are important for the underlying surface of a city, and the sponge construction of a residential area is a key topic in sponge city construction. Taking the Zi-Jing community as the research case, the SWMM model was established for simulation, and the rainwater runoff control, collection, and utilization were compared and analyzed before and after the implementation of sponge transformation for the designed rainfall conditions of once in 3, 5, 10, 20, and 50 years. The results showed that the water depth of the four outlet pipes was not a full tube at the first peak time. The full duration time was reduced to 1–5 h at the second peak, and the flow reduction rate at the pipe outlet was between 30% and 100%. The water storage of sub-catchments A1, A3, and A4 increased significantly and continued to increase after the peak rainfall occurred, while that of A2 decreased significantly after the transformation after the transformation. For the whole residential area, the surface runoff decreased by 37–47%, while the surface water storage and infiltration increased by 8–14% and 23–39% respectively after reconstruction. The direct storage volume of rainwater in the four sub-catchment areas was filled at least once above a once in 5 years scenario. The main conclusions were as follows: Sponge transformation in residential areas with 17.46% sunken greenbelt and 40.85% permeable pavement, and the time of the pipe outlet in full status can be shortened by 30–200 min in different rainfall return periods. With the increase in the rainfall return period, the improvement range of the infiltration increased from 23.36% to 39.54%, the improvement range of the storage capacity for rainwater decreased from 14.36% to 8.06%, and the reduction degree of surface runoff increased from 37.73% to 47.43%. The water consumption for flushing is about 30 m3 per day for 1000 people, and the rainwater storage volume of 765 m3 in this study can meet the flushing water demand of 5000 residents in the community for 3–5 days.

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“…In recent years, China has launched a new national initiative called "sponge city" which enables cities to absorb and save rainwater like sponges (Zhang et al, 2019;Guan et al, 2021) to improve urban resilience. It is a low-impact development rainwater system (Guan et al, 2021) that aims to solve the problem of water storage and waterlogging, reduce water pollution, improve water quality and enhance water ecology (Gu and Cui, 2017;Ji and Bai, 2021).…”

Section: Introductionmentioning

confidence: 99%

Perception of sponge city for achieving circularity goal and hedge against climate change: a study on Weibo

Zeng

Zeng³

et al. 2023

IJCCSM

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Purpose Global climate change speeds up ice melting and increases flooding incidents. China launched a sponge city policy as a holistic nature-based solution combined with urban planning and development to address flooding due to climate change. Using Weibo analytics, this paper aims to study public perceptions of sponge city. Design/methodology/approach This study collected 53,586 sponge city contents from Sina Weibo via Python. Various artificial intelligence tools, such as CX Data Science of Simply Sentiment, KH Coder and Tableau, were applied in the study. Findings 76.8% of public opinion on sponge city were positive, confirming its positive contribution to flooding management and city branding. 17 out of 31 pilot sponge cities recorded the largest number of sponge cities related posts. Other cities with more Weibo posts suffered from rainwater and flooding hazards, such as Xi'an and Zhengzhou. Originality/value To the best of the authors’ knowledge, this study is the first to explore the public perception of sponge city in Sina Weibo.

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Construction of the sponge city regulatory detailed planning index system based on the SWMM model

Cited by 19 publications

References 16 publications

Hazard Trend Identification Model Based on Statistical Analysis of Abnormal Power Generation Behavior Data

Hazard Trend Identification Model Based on Statistical Analysis of Abnormal Power Generation Behavior Data

Simulation and Evaluation of Rainwater Runoff Control, Collection, and Utilization for Sponge City Reconstruction in an Urban Residential Community

Perception of sponge city for achieving circularity goal and hedge against climate change: a study on Weibo

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