Skip to main content
Log in

Modeling and investigating the effect of the LID methods on collection network of urban runoff using the SWMM model (case study: Shahrekord City)

  • Review Article
  • Published:
Modeling Earth Systems and Environment Aims and scope Submit manuscript

Abstract

In recent decades, the accumulation of residential regions has increased due to the expansion of urbanization. This has led to an increase in the impermeable areas and, thus, increasing surface runoff in the cities. Therefore, it is necessary to control surface runoff using Low Impact Development (LID) methods in cities. In this research, using the hydraulic-hydrological SWMM model, the collection network of surface runoff of Shahrekord city was simulated in 2, 5, and 10 years return periods. The calibration of the model was performed in two rainfall events. Afterward, validation was performed using sensitivity analysis with calibrated values, which NSE, RMSE, and% BIAS indices showed good simulation accuracy. After this stage, three methods of the green roof, permeable pavement, and rain barrels were located in 14 selected sub-catchments of Shahrekord. The results of these methods on the volume and peak runoff of selected sub-catchment showed that green roof, permeable pavement, and rain barrels, respectively, reduce the volume and discharge peak runoff by 46, 21, and 25%, on average. Moreover, increasing the rainfall period would increase the effectiveness of using these methods. Also, the results of investigating the value of the discharge and volume of runoff within the drainage canals, the capacity of the canals, and downstream of selected sub-catchment, indicated the reduction of these values due to the application of LID methods. As a result, it was concluded that the effect of using a green roof was greater than the others.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

Notes

  1. Soil conservation service.

  2. American society of civil engineers.

References

  • Bai Y, Zhao N, Zhang R, Zeng X (2019) Storm water management of low impact development in urban areas based on SWMM. Water 11:33

    Article  Google Scholar 

  • Borujeni HS, Emad K, Fattahi R (2011) Evaluation of analysis methods of short-term rainfall (case study: Shahrekord Synoptic Station). J Water Sci Eng 1:7–21

    Google Scholar 

  • Campisano A, Catania FV, Modica C (2017) Evaluating the SWMM LID Editor rain barrel option for the estimation of retention potential of rainwater harvesting systems. Urban Water J 14:876–881

    Article  Google Scholar 

  • Ebrahimi A (2019) Assessing the impact of urban expansion and land cover changes on land surface temperature in Shahrekord city. J RS GIS Nat Resour 9:102–118

    Google Scholar 

  • Hsu M-H, Chen SH, Chang T-J (2000) Inundation simulation for urban drainage basin with storm sewer system. J Hydrol 234:21–37

    Article  Google Scholar 

  • Jang S et al (2007) Using SWMM as a tool for hydrologic impact assessment. Desalination 212:344–356

    Article  Google Scholar 

  • Lowe SA (2010) Sanitary sewer design using EPA storm water management model (SWMM) computer applications in engineering. Education 18:203–212

    Google Scholar 

  • Park J et al (2008a) Analysis of runoff reduction with LID adoption using the SWMM. J Korean Soc Water Environ 24:806–816

    Google Scholar 

  • Park S, Lee K, Park I, Ha S (2008b) Effect of the aggregation level of surface runoff fields and sewer network for a SWMM simulation. Desalination 226:328–337

    Article  Google Scholar 

  • Poursahebi A, Niri MZ, Ghoudarzi SM (2019) Simulating of LID-BMP methods on urban runoff (case study: District 22, Tehran). J Water Wastewater 30

  • Randall M, Sun F, Zhang Y, Jensen MB (2019) Evaluating Sponge City volume capture ratio at the catchment scale using SWMM. J Environ Manage 246:745–757

    Article  Google Scholar 

  • Soleymani M, Behzadian K, Ardeshir A (2015) Evaluation of strategies for modifying urban storm water drainage system using risk-based criteria. J Water Wastewater 26:16–29

    Google Scholar 

  • Tsihrintzis VA, Hamid R (1997) Modeling and management of urban stormwater runoff quality: a review. Water Resour Manage 11:136–164

    Article  Google Scholar 

  • Tuomela C, Sillanpää N, Koivusalo H (2019) Assessment of stormwater pollutant loads and source area contributions with storm water management model (SWMM). J Environ Manag 233:719–727

    Article  Google Scholar 

  • Wang Y, Sun M, Song B (2017) Public perceptions of and willingness to pay for sponge city initiatives in China resources. Conserv Recycl 122:11–20

    Article  Google Scholar 

  • Wulliman J, Thomas P (2005) Learning from nature: reducing urban stormwater impacts lake line magazine. Urban Drainage and Flood Control District, Denver

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Majid Omidi Arjenaki.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Arjenaki, M.O., Sanayei, H.R.Z., Heidarzadeh, H. et al. Modeling and investigating the effect of the LID methods on collection network of urban runoff using the SWMM model (case study: Shahrekord City). Model. Earth Syst. Environ. 7, 1–16 (2021). https://doi.org/10.1007/s40808-020-00870-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40808-020-00870-2

Keywords

Navigation