z-logo
open-access-imgOpen Access
Ranking media for multi-pollutant removal efficiency in bioretention
Author(s) -
Ying Mei,
Long Long Gao,
Hang Zhou,
Kun-Hao Wei,
Na-Qi Cui,
CheinChi Chang
Publication year - 2018
Publication title -
water science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.406
H-Index - 137
eISSN - 1996-9732
pISSN - 0273-1223
DOI - 10.2166/wst.2018.115
Subject(s) - bioretention , pollutant , environmental engineering , environmental science , stormwater , ranking (information retrieval) , analytic hierarchy process , mathematics , chemistry , surface runoff , computer science , operations research , ecology , biology , information retrieval , organic chemistry
Bioretention is an effective best management practice for urban stormwater. This study aims to provide guidance for selecting the best bioretention medium in terms of pollutant removal capacity. Fuzzy set theory was applied with the improved analytic hierarchy process (IAHP) for weight determination, thus forming the fuzzy synthetic evaluation model, to assess the comprehensive efficiencies of certain sand media. This work is the first to use this method to study bioretention. Results demonstrated that the fuzzy synthetic evaluation model was a rational choice for the selection of bioretention media. The studied media were ranked by pollutant removal capacity as follows: Media III > Media V > Media I > Media VI > Media II > Media VII > Media IV. Media I had the best comprehensive removal efficiency and infiltration rate in bioretention. Moreover, the removal rates for Cd 2+ , Zn 2+ and Pb 2+ were excellent (>80%), those for Cu 2+ and NH + 4 -N fluctuated from 58.1% to 92.7% and 64.7% to 95.9%, respectively, and those for NO - 3 -N and TP of the seven media did not show distinct differences.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom