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Experimental and model investigations of vegetative filter strips for contaminant removal: A review.

Authors :
Yu, Congrong
Duan, Peiyi
Yu, Zhongbo
Gao, Bin
Source :
Ecological Engineering. Jan2019, Vol. 126, p25-36. 12p.
Publication Year :
2019

Abstract

Highlights • Reviewed the transport characteristics influence the contaminant transport. • Reviewed the empirical and mechanical contaminant transport model. • Coupling the hydrology and contaminant transport models can design VFS precisely. Abstract This work provides a comprehensive review on the specific transport characteristics and the associated transport models of sediments, chemicals, and colloids in vegetative filter strips (VFSs). The main goal of the review is to improve current understanding of the main processes, mechanisms, and models of VFSs as the best management practice to mitigate the non-point source pollution. The overall removal efficiency of a VFS varies among different contaminants. For sediments, particle size and distribution are the critical factors that influence their fate and transport in VFSs. For adsorptive chemicals such as pesticides and phosphorus (P), one critical factor for their fate and transport in a VFS is the distribution coefficient between soluble and particle phases. For non-reactive chemicals such as nitrogen (N), soluble phase plays an important role in controlling their fate and transport in a VFS, while bio-chemical reaction may also be important. For colloids, particle and flow characteristics are the main factors affecting their transport and removal in a VFS. Previous studies have built transport models based on the specific characteristic of contaminants. Some of the models are empirical with regression equations based on experimental data. There are also some mechanistic VFS models that are process-based and rely on contaminant transport mechanisms. When coupled with the hydrology models, these models can be used to simulate the fate and transport of various contaminants in VFSs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09258574
Volume :
126
Database :
Academic Search Index
Journal :
Ecological Engineering
Publication Type :
Academic Journal
Accession number :
133067891
Full Text :
https://doi.org/10.1016/j.ecoleng.2018.10.020