Targeting Macrophytes: Optimizing Vegetation Density to Enhance Water Quality within Constructed Wetlands

Author:

McBrady Austin Johnathon1ORCID,Den Walter12ORCID

Affiliation:

1. Water Resources Science and Technology, Department of Natural Sciences, Texas A&M University-San Antonio, One University Way, San Antonio, TX 78224, USA

2. Institute for Water Resources Science and Technology, Texas A&M University, San Antonio, One University Way, San Antonio, TX 78224, USA

Abstract

This study of constructed wetland design investigated relationships between macrophyte species selection and planting density for water quality improvement. A lab-scale wetland was compared against a pilot-scale wetland in San Antonio, Texas, at Mitchell Lake to measure differences in effluent water quality improvement using three native macrophyte species. Using a novel, two-phase method, a targeting macrophyte was identified from among Olney’s bulrush (Schoenoplectus americanus), hardstem bulrush (Schoenoplectus acutus), and California bulrush (Schoenoplectus californicus), based on its marked capability for improving water quality factors, then it was planted in varied majority densities to compare differences in treatment effectiveness. The results showed that the planting density with 50% giant bulrush, 25% Olney’s bulrush, and 25% hardstem improved conductivity removal by 34% and increased dissolved oxygen by 3713% as compared to the Mitchell Lake pilot-scale results. The 70% and 90% majority density plantings (giant bulrush) were not shown to be as effective for the tested parameters, indicating diminishing returns as the vegetation density increasingly becomes a monoculture within the system. The results of this study showed that this complementary approach to wetland design displayed significant improvement in certain treatment parameters than the evenly planted species distribution of the pilot study. These findings demonstrate that the constructed wetland design can be optimized by selecting and planting macrophytes based on their effectiveness in targeting site-specific water quality concerns by capitalizing on their individual traits within complex wetland systems.

Funder

Virginia Tech

National Science Foundation

Publisher

MDPI AG

Reference36 articles.

1. Bridges, T.S., Burks-Copes, K.A., Bates, M.E., Collier, Z.A., Fischenich, J.C., Piercy, C.D., Russo, E.J., Shafer, D.J., Suedel, B.C., and Gailani, J.Z. (2015). Use of Natural and Nature-Based Features (NNBF) for Coastal Resilience, The US Army Engineer Research and Development Center (ERDC). Report No. ERDC SR-15-1.

2. European Commission (2024, August 07). Directorate-General for Research and Innovation, Towards an EU Research and Innovation Policy Agenda for Nature-Based Solutions & Re-Naturing Cities: Final Report of the Horizon 2020 Expert Group on ‘Nature-Based Solutions and Re-Naturing Cities’: (Full Version), Available online: https://data.europa.eu/doi/10.2777/479582.

3. WWAP (United Nations World Water Assessment Programme)/UN-Water (2018). The United Nations World Water Development Report 2018: Nature-Based Solutions for Water, UNESCO. Available online: https://unesdoc.unesco.org/ark:/48223/pf0000261424.

4. Hanafiah, Z.M., Azmi, A.R., Wan-Mohtar, W.A.A.Q.I., Olivito, F., Golemme, G., Ilham, Z., Jamaludin, A.A., Razali, N., Halim-Lim, S.A., and Wan Mohtar, W.H.M. (2024). Water quality assessment and decolourisation of contaminated ex-mining lake water using bioreactor dye-eating fungus (BioDeF) system: A real case study. Toxics, 12.

5. Mooralitharan, S., Mohd Hanafiah, Z., Abd Manan, T.S.B., Muhammad-Sukki, F., Wan-Mohtar, W.A.A.Q.I., and Wan Mohtar, W.H.M. (2023). Vital conditions to remove pollutants from synthetic wastewater using Malaysian Ganoderma lucidum. Sustainability, 15.

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