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Comprehensive assessment for removing multiple pollutants by plants in bioretention systems 被引量:14

Comprehensive assessment for removing multiple pollutants by plants in bioretention systems
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摘要 Bioretention is a best management practice which uses vegetation to improve the pollutant removal rates in the rain water management.To select the best plant species to remove multiple pollutants in a bioretention system,we tested thirty species of plants in a laboratory in Beijing,China.We found that the ability of the plants to reduce concentrations of heavy metals including cadmium(Cd),lead(Pb),zinc(Zn),and ammonium(NH4?–N)is more than90%.The removal efficiencies for NH4?–N,nitrate(NO3-–N),total phosphorus,and copper(Cu)varied markedly among plant species.The single overall best plant was not easy to be determined.To select the best plant species,we used a dynamic neural network to establish an assessment index system,assessment criteria,and an assessment model that is used here for the first time for multiple pollutants’removal.Applying the theory and model,we discovered that Plantago asiatica L.and Digitaria sanguinalis(L.)Scop.are the overall best plants for removing the seven typicalpollutants.This paper will provide a simple and useful guide for the comprehensive assessment of multiple pollutant removal by plants in complex ecological systems. Bioretention is a best management practice which uses vegetation to improve the pollutant removal rates in the rain water management. To select the best plant species to remove multiple pollutants in a bioretention system, we tested thirty species of plants in a laboratory in Beijing, China. We found that the ability of the plants to reduce concentrations of heavy metals including cadmium (Cd), lead (Pb), zinc (Zn), and ammonium (NH4+-N) is more than 90 %. The removal efficiencies for NH4+-N, nitrate (NO3-- N), total phosphorus, and copper (Cu) varied markedly among plant species. The single overall best plant was not easy to be determined. To select the best plant species, we used a dynamic neural network to establish an assessment index system, assessment criteria, and an assessment model that is used here for the first time for multiple pollutants' removal. Applying the theory and model, we discovered that Plantago asiatica L. and Digiaria sanguinalis (L.) Scop. are the overall best plants for removing the seven typical pollutants. This paper will provide a simple and useful guide for the comprehensive assessment of multiple pollutant removal by plants in complex ecological systems.
出处 《Chinese Science Bulletin》 SCIE EI CAS 2014年第13期1446-1453,共8页
基金 partly supported by the Funds for Creative Research Groups of China(51121003) the National Basic Research Program of China(2010CB951104) the Specialized Research Fund for the Doctoral Program of Higher Education(20100003110024) the National Natural Science Foundation of China(51079004)
关键词 污染物去除率 植物物种 评估标准 生态系统 滞留 生物 评价指标体系 动态神经网络 Best plant Pollutant removal Bioretention system Comprehensive assessmentNeural network
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