Performance comparison of stacked constructed wetlands under varying dye-rich wastewater

The applicability of constructed wetlands (CWs) at the pilot scale is mainly limited by the large land area requirement and long retention time. Subsequently, its wider application in industrial wastewater treatment is limited by low removal efficiency for high strength wastewater. Hence, here we investigate novel vertically stacked constructed wetlands (S-CWs: ((a) planted stacked wetlands (A-S-CW), (b) partially planted stacked wetlands (B-S-CW), and (c) unplanted control systems (C-S-CW)) for the treatment of dye wastewater under varying concentration, focusing on key drivers of textile effluent chemical oxygen demand (COD) and colour. The lab-scale trials conducted with vertical stacking, shorter HRT (1d), daily fresh feeding, and varying influent loads with each dosing replicated over 20 consecutive cycles. The results revealed vertical stacking as a promising strategy for pilot-scale application with reduced land area requirements. The results revealed that the planted A-S-CW system achieved superior treatment efficiency, achieving up to 94% COD, 94% NH 4 + –N, 47% nitrate, and > 98% color removal compared with other systems. Moreover, one-way ANOVA confirmed statistically significant differences ( p < 0.01) among wetland configurations in COD and NH 4 + –N removal (R 2 > 0.98), suggesting that removal is driven by biological processes, which was also confirmed by principal component analysis (PCA). These finding indicates vertical stacking could provide sustainable and low cost textile wastewater treatment with low land foot print.

Authors

Institutions

Publication Details

Journal
Discover Sustainability
Published
2026-08-17
DOI
https://doi.org/10.1007/s43621-026-04359-3
Primary Topic
Constructed Wetlands for Wastewater Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance comparison of stacked constructed wetlands under varying dye-rich wastewater

Rajat Pant, Sanjeev Kumar Prajapati, Sunil Kumar Singal, Naveen Chand et al.
Discover Sustainability
Constructed Wetlands for Wastewater Treatment
article

Performance comparison of stacked constructed wetlands under varying dye-rich wastewater

Rajat Pant, Sanjeev Kumar Prajapati, Sunil Kumar Singal, Naveen Chand, George Mbena
article en

Abstract

The applicability of constructed wetlands (CWs) at the pilot scale is mainly limited by the large land area requirement and long retention time. Subsequently, its wider application in industrial wastewater treatment is limited by low removal efficiency for high strength wastewater. Hence, here we investigate novel vertically stacked constructed wetlands (S-CWs: ((a) planted stacked wetlands (A-S-CW), (b) partially planted stacked wetlands (B-S-CW), and (c) unplanted control systems (C-S-CW)) for the treatment of dye wastewater under varying concentration, focusing on key drivers of textile effluent chemical oxygen demand (COD) and colour. The lab-scale trials conducted with vertical stacking, shorter HRT (1d), daily fresh feeding, and varying influent loads with each dosing replicated over 20 consecutive cycles. The results revealed vertical stacking as a promising strategy for pilot-scale application with reduced land area requirements. The results revealed that the planted A-S-CW system achieved superior treatment efficiency, achieving up to 94% COD, 94% NH 4 + –N, 47% nitrate, and > 98% color removal compared with other systems. Moreover, one-way ANOVA confirmed statistically significant differences ( p < 0.01) among wetland configurations in COD and NH 4 + –N removal (R 2 > 0.98), suggesting that removal is driven by biological processes, which was also confirmed by principal component analysis (PCA). These finding indicates vertical stacking could provide sustainable and low cost textile wastewater treatment with low land foot print.

Discover Sustainability
Indian Institute of Technology Roorkee (IN)
Openalex Percentile: Top 9%
Constructed Wetlands for Wastewater Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.