Next Article in Journal
A Copula-Based Bayesian Network for Modeling Compound Flood Hazard from Riverine and Coastal Interactions at the Catchment Scale: An Application to the Houston Ship Channel, Texas
Next Article in Special Issue
Estimating the Infiltration Area for Concentrated Stormwater Spreading over Grassed and Other Slopes
Previous Article in Journal
Spatial Pattern Oriented Multicriteria Sensitivity Analysis of a Distributed Hydrologic Model
Previous Article in Special Issue
Simultaneous Adsorption of Heavy Metals from Roadway Stormwater Runoff Using Different Filter Media in Column Studies
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Optimization of China Sponge City Design: The Case of Lincang Technology Innovation Park

State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
*
Author to whom correspondence should be addressed.
Water 2018, 10(9), 1189; https://doi.org/10.3390/w10091189
Submission received: 24 July 2018 / Revised: 25 August 2018 / Accepted: 31 August 2018 / Published: 4 September 2018

Abstract

China launched the sponge city (SPC) initiative in 2013 to reduce municipal stormwater runoff. The design criteria are mainly the annual comprehensive runoff coefficient (ACRC) regulated in a design guideline. Numerous SPC alternatives with varied low-impact development (LID) measures can be designed to meet the ACRC. Obviously, the optimization of SPC design is significant. This study provides an approach to SPC design optimization that applies an optimized module of SUSTAIN to simulate SPC performance over a 10-year period. The targeted volume reduction was derived from the SWMM model and corresponded to the ACRC criteria. Based on the reduction, the minimal cost and cost-effectiveness analyses were conducted. The proposed approach was applied to the Lincang Technology Innovation Park (LCTIP) as a test case. Three scenarios were analyzed: The original design implemented on the site, the landscape improved design, and the most economical design. The results indicated that the optimized alternative may save up to 12.3% of the cost while meeting that ACRC value. The approach improves upon SPC design, particularly with regards to flood control. The present research will help decision makers to develop and select the most appropriate SPC design that is most cost-effective.
Keywords: sponge city; design optimization; Stormwater Management Model (SWMM); System for Stormwater Analysis and Integration (SUSTAIN); Lincang Technology Innovation Park (LCTIP) sponge city; design optimization; Stormwater Management Model (SWMM); System for Stormwater Analysis and Integration (SUSTAIN); Lincang Technology Innovation Park (LCTIP)

Share and Cite

MDPI and ACS Style

Li, N.; Qin, C.; Du, P. Optimization of China Sponge City Design: The Case of Lincang Technology Innovation Park. Water 2018, 10, 1189. https://doi.org/10.3390/w10091189

AMA Style

Li N, Qin C, Du P. Optimization of China Sponge City Design: The Case of Lincang Technology Innovation Park. Water. 2018; 10(9):1189. https://doi.org/10.3390/w10091189

Chicago/Turabian Style

Li, Nan, Chengxin Qin, and Pengfei Du. 2018. "Optimization of China Sponge City Design: The Case of Lincang Technology Innovation Park" Water 10, no. 9: 1189. https://doi.org/10.3390/w10091189

APA Style

Li, N., Qin, C., & Du, P. (2018). Optimization of China Sponge City Design: The Case of Lincang Technology Innovation Park. Water, 10(9), 1189. https://doi.org/10.3390/w10091189

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop