Difference between revisions of "Bioretention media storage"

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This has been calculated as the difference between the media porosity and field capacity.  
 
This has been calculated as the difference between the media porosity and field capacity.  
 
# Marine sand: 0.51 - 0.06 = 0.45 <ref name=Liu>Liu, Ruifen, and Elizabeth Fassman-Beck. “Pore Structure and Unsaturated Hydraulic Conductivity of Engineered Media for Living Roofs and Bioretention Based on Water Retention Data.” Journal of Hydrologic Engineering 23, no. 3 (March 2018): 04017065. doi:10.1061/(ASCE)HE.1943-5584.0001621</ref>
 
# Marine sand: 0.51 - 0.06 = 0.45 <ref name=Liu>Liu, Ruifen, and Elizabeth Fassman-Beck. “Pore Structure and Unsaturated Hydraulic Conductivity of Engineered Media for Living Roofs and Bioretention Based on Water Retention Data.” Journal of Hydrologic Engineering 23, no. 3 (March 2018): 04017065. doi:10.1061/(ASCE)HE.1943-5584.0001621</ref>
# Marine sand with 10 % compost: 0.51 - 0.11 = 0.40 </ref name=Liu>
+
# Marine sand with 10 % compost: 0.51 - 0.11 = 0.40 <ref name=Liu/>
# Marine sand with 20 % compost: 0.53 - 0.12 = 0.41 </rev name=Liu>
+
# Marine sand with 20 % compost: 0.53 - 0.12 = 0.41 <rev name=Liu/>
# Marine sand with 20 % compost & 20 % topsoil: 0.52 - 0.16 = 0.36 </rev name=Liu>
+
# Marine sand with 20 % compost & 20 % topsoil: 0.52 - 0.16 = 0.36 <rev name=Liu/>

Revision as of 23:28, 11 November 2018

box plot of nine documented bioretention media

Bioretention filter media may be assumed to have a storage capacity of 0.4.

This has been calculated as the difference between the media porosity and field capacity.

  1. Marine sand: 0.51 - 0.06 = 0.45 [1]
  2. Marine sand with 10 % compost: 0.51 - 0.11 = 0.40 [1]
  3. Marine sand with 20 % compost: 0.53 - 0.12 = 0.41 <rev name=Liu/>
  4. Marine sand with 20 % compost & 20 % topsoil: 0.52 - 0.16 = 0.36 <rev name=Liu/>
  1. 1.0 1.1 Liu, Ruifen, and Elizabeth Fassman-Beck. “Pore Structure and Unsaturated Hydraulic Conductivity of Engineered Media for Living Roofs and Bioretention Based on Water Retention Data.” Journal of Hydrologic Engineering 23, no. 3 (March 2018): 04017065. doi:10.1061/(ASCE)HE.1943-5584.0001621