Preparation and performance of epoxy resin permeable bricks for sponge city construction

2020 ◽  
Vol 137 (34) ◽  
pp. 49008
Author(s):  
Bowu Zhao ◽  
Yaobang Du ◽  
Luyao Ren ◽  
Jianyou Wang
Keyword(s):  
Epoxy Resin ◽  
Sponge City ◽  
City Construction ◽  
And Performance

scholarly journals Coupling of SWMM With 2D Hydrodynamic Model for Simulation of Sponge City Construction Scheme

2021 ◽  
Vol 643 ◽  
pp. 012002
Author(s):  
Yuyan Fan ◽  
Chengwen Wang ◽  
Haijun Yu ◽  
Junhao Pan ◽  
Zilu Ouyang
Keyword(s):  
Hydrodynamic Model ◽  
Sponge City ◽  
Construction Scheme ◽  
City Construction

scholarly journals Research on SWMM Runoff Control Index Decomposition Based on Constraint Optimization Method

2021 ◽  
Vol 237 ◽  
pp. 04008
Author(s):  
Shiyuan Huang ◽  
Pengfei Liu ◽  
Hongqin Zhang ◽  
Zhipeng Ding
Keyword(s):  
Model Simulation ◽  
Simulation Method ◽  
Optimization Method ◽  
Annual Runoff ◽  
Constraint Optimization ◽  
Sponge City ◽  
Total Runoff ◽  
Index Decomposition ◽  
Runoff Control ◽  
City Construction

The “Sponge City Construction Technical Guide” mentions the method for decomposing and implementing the annual total runoff control rate: volume method and model simulation method. Through research, it is found that the two are based on the control detailed planning level in decomposing the scale parameters of LID facilities. The indicators to each block are allocated through repeated tests through experience and trial calculations, resulting in a lack of scientific rationality in the process and results of the indicator decomposition, and because the Guide is still in the trial stage, there are few researches on the decomposition of runoff control indicators represented by SWMM. Therefore, with the help of MATLAB’s constraint optimization module and SWMM hydro-hydraulic model, this study proposes a complete set of decomposition ideas and methods for the decomposition and implementation of the annual runoff total control rate in the special planning of sponge city, and the index decomposition process through relevant cases Elaborate.

A Multi-variable & Multi-objective Optimization Framework for LID Layout in Sponge City

2021 ◽  
Author(s):  
Sijie Tang ◽  
Jiping Jiang ◽  
Yi Zheng
Keyword(s):  
Ecological Factors ◽  
Green Roofs ◽  
Design Tool ◽  
Distribution Area ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Sponge City ◽  
Multi Objective ◽  
Optimization Framework ◽  
City Construction

<p>Practitioners usually design the plan of Sponge City construction (SCC) by combining LID facilities (e.g., rain garden, rain barrels, green roofs, and grassed swales) according to their personal experiences or general guidelines. The layout (including selection, connection and distribution area) of LID facilities is subjective, in the risk of far from optimal combination. Previous researchers have developed some LID optimization tools, which only consider the dimension and number of LIDs in a given scenario. Therefore, it is necessary to develop a flexible and extensible design tool with the support of urban hydrological model to conduct the facilities layout optimization. This study introduced a SWMM-based multi-variable and multi-objective optimization framework called CAFID (Comprehensive Assessment and Fine Design Model of Sponge City) to meet this end. The assessment module with multi-objective couples diverse controlling end-points (e.g., total runoff, peak runoff, pollutant concentration, cost, and customized social-ecological factors) as the candidates of assessment criteria. The optimization module with multi-variable is implemented by SWMM, starting with three steps: 1) Full allocation. Based on the availability, list the candidates of LID facility for each sub-catchment; 2) Full connection. Order the potential stream direction of surface runoff from rainfall to municipal network, based on possible hierarchical structure of sub-catchments and LID facilities; 3) Full coverage. Identify all the suitable area for LID facility in sub-catchment. The optimization on the 3 variables, the selection, connection, and area, is powered by NSGA-II and TOPSIS algorithms, which make it possible that we choose a final result from the set of nondominated solutions according to special weight distribution. The effectiveness of CAFID was illustrated through a case of Sponge City in Fenghuangcheng of Shenzhen City, one of 30 national pilot sponge cities in China. As well, this new framework is expected to be widely verified and applied in Sponge City construction in China or similar concepts all over the world.</p>

SPONGE CITY CONSTRUCTION IN CHINA:THE ACHIEVEMENTS AND CHANLLEGES

2019 ◽  
Author(s):  
HAIFENG JIA ◽  
YUNTAO GUAN ◽  
HUI WANG ◽  
CHENWEN WANG
Keyword(s):  
Sponge City ◽  
City Construction
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