511
Views
17
CrossRef citations to date
0
Altmetric
Research Articles

Modelling low impact development in watersheds using the storm water management model

, , &
Pages 146-155 | Received 17 Oct 2018, Accepted 24 Jun 2019, Published online: 07 Jul 2019
 

ABSTRACT

Low impact development (LID) has been widely used to manage stormwater, but evaluations of the benefits of implementing LID need to extend up to the watershed level. Modelling is an important method and this paper proposes an approach that focuses on modelling LID in watersheds using the Storm Water Management Model (SWMM). There are two ways to simulate LID in a SWMM. The first is using the LID editor, and the second is simply adjusting the parameters in the basic SWMM. In the proposed methodology, these two ways are combined. The methodology was applied to one of China’s pilot sponge -cities, Tsingtao. The results show that the method can improve the efficiency and guarantee the accuracy of the model at the watershed level. Use of LID application in the pilot area can significantly reduce runoff volume, but the effect is different in different sub-watersheds.

Acknowledgements

This work was supported by the National Major Science and Technology Program- “Water Body Pollution Control and Remediation” (No. 2014ZX07323001). We thank International Science Editing (http://www.internationalscienceediting.com) for editing this manuscript.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 51878372).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 239.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.