Evaluation of the factors influencing the treatment performance of a livestock constructed wetland

The expansion of livestock industry resulted to larger waste production and pollutant deposition in the natural environment. Advanced treatment systems for treating wastewater and discharges from livestock areas are necessary to reduce the pollutant loads in receiving water bodies. This study mainly...

Full description

Saved in:
Bibliographic Details
Published in:Ecological engineering 2020-04, Vol.149, p.105811, Article 105811
Main Authors: Reyes, Nash Jett, Geronimo, Franz Kevin, Kim, Lee-Hyung
Format: Article
Language:English
Subjects:
Artificial wetlands
Constructed wetland
Effluent standards
Livestock
Livestock industry
Nature-based solution
Nutrients
Pollutant deposition
Pollutant load
Pollutant removal
Pollutants
Pollution control
Pollution load
Quality standards
Receiving waters
Removal
Runoff
Sediment samplers
Sediment samples
Storm runoff
Storms
Stormwater
Stormwater management
Stormwater runoff
Turbidity
Wastewater
Wastewater discharges
Wastewater treatment
Water discharge
Water pollution
Water quality
Water quality standards
Water treatment
Wetlands
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The expansion of livestock industry resulted to larger waste production and pollutant deposition in the natural environment. Advanced treatment systems for treating wastewater and discharges from livestock areas are necessary to reduce the pollutant loads in receiving water bodies. This study mainly focused on evaluating the effectiveness of a livestock constructed wetland in treating composite wastewater discharge and stormwater runoff. Water and sediment samples were collected and analyzed to determine the factors that can potentially affect the performance of the facility. Positive pollutant removal performances for turbidity (52% to 81%), TSS (61 to 82%), organics (34% to 50%), and nutrients (10% to 48%) were noted in the CW for storm events and dry days due to the continuity of flow and adequate HRT conducive to pollutant removal. SLR models for pollutant removal efficiency yielded low r2 values (0.26 to 0.53) and high errors (6.85% to 31.45%) implied that the predictive removal efficiencies were not precise. Despite the significant decrease (p 
ISSN:0925-8574
1872-6992
DOI:10.1016/j.ecoleng.2020.105811