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Environmental Science and Pollution Research

, Volume 25, Issue 30, pp 30170–30179 | Cite as

Annual variation patterns of the effluent water quality from a green roof and the overall impacts of its structure

  • Hongxiang Chai
  • Yue Tang
  • Xiaojie Su
  • Weijie Wang
  • Hao Lu
  • Zhiyu Shao
  • Qiang He
Research Article
  • 102 Downloads

Abstract

To explore the optimal combination of vegetation type, substrate type, and substrate thickness in a green roof and the interannual variation patterns of the runoff quality, eight green roof units were constructed in Shenzhen, China. Runoff quality of the eight units was monitored for 3 years (24 rainfall events). The rainfall event mean concentrations (EMC) were used to evaluate runoff quality as well as annual pollutant load. An orthogonal L8(24) experiment was designed to verify the significance of different factors. An optimal level of significant factors was selected to determine the optimal design of green roof. The optimal vegetation was Ophiopogon japonicus. The optimal substrate was modified perlite, while optimal substrate thickness was 200 mm. A three-year interannual variation analysis was performed on the optimal green roof. It was found that the interannual variation of each runoff quality index is different. The concentrations of SS, COD, and NH4+-N in the runoff decreased with years. The concentration of NO3-N increased over time, while TP remained stable. The concentration of TN had certain volatility with no significant interannual variation. Overall, the runoff quality of the green roof improves over time. The optimal green roof’s runoff quality in the third year including 11 rainfall events was monitored. Results showed that the effluent quality from the green roof was lower than that of precipitation. The average concentrations of SS, COD, NH4+-N, TN, and TP decreased respectively by 37.85%, 28.89%, 30.25%, 14.52%, and 12.93%, but NO3-N increased by 69.91% comparing to the traditional roof.

Keywords

Sponge city Low impact development Runoff Green roof Interannual variation 

Notes

Funding information

The work reported here was financially supported by the National Key R&D program of China (Grant No. 2017YFC0404704).

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Hongxiang Chai
    • 1
    • 2
  • Yue Tang
    • 1
    • 2
  • Xiaojie Su
    • 3
    • 4
  • Weijie Wang
    • 1
    • 2
  • Hao Lu
    • 1
    • 2
  • Zhiyu Shao
    • 1
    • 2
  • Qiang He
    • 1
    • 2
  1. 1.Key Laboratory of Three Gorges Reservoir Region’s Eco-Environment, Ministry of EducationChongqing UniversityChongqingPeople’s Republic of China
  2. 2.National Centre for International Research of Low-Carbon and Green BuildingsChongqing UniversityChongqingPeople’s Republic of China
  3. 3.Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University)Ministry of EducationChongqingPeople’s Republic of China
  4. 4.College of AutomationChongqing UniversityChongqingPeople’s Republic of China

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