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Optimising and investigating the effect of leaf area index, soil depth, and water content on energy conservation and pollutant reduction in green roof systems (case study: Mashhad City)

Author

Listed:
  • Mohammad Reza Seyedabadia
  • Mohsen Karrabi
  • Javad Abdollahi
  • Hossein Kazemian

Abstract

In this study, the effect of leaf area index, soil depth, and water content on the energy conservation and carbon emission was evaluated in building industry. For this purpose, firstly Design Builder software was employed to model a green roof on a 160 m2 building located in the cold and dry climate of Mashhad City in Iran. The results showed that energy conservation in the building has a direct relationship with the soil layer thickness (up to 40 cm) and an inverse relationship with the soil water content. A two-fold increase in the LAI improved energy conservation performance of the green roof by 14%. After estimating the effect of green roofs on pollutant emissions, it was found that the highest emission reduction would be related to NOx with the amount of 1,577.1 tons in warm seasons and 2,073 tons in cold seasons.

Suggested Citation

  • Mohammad Reza Seyedabadia & Mohsen Karrabi & Javad Abdollahi & Hossein Kazemian, 2022. "Optimising and investigating the effect of leaf area index, soil depth, and water content on energy conservation and pollutant reduction in green roof systems (case study: Mashhad City)," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 25(5), pages 351-365.
    • Handle: RePEc:ids:ijetma:v:25:y:2022:i:5:p:351-365
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