TY - CONF
T1 - Enhancing water reuse at a local scale
T2 - 4th EUGLOH Plant Science Meeting
AU - Magalhães, J.
AU - Dolbeth, M.
AU - Arenas, F.
AU - Pereira, S.
AU - Tsiamis, G.
AU - Ntougias, S.
AU - Calheiros, C.
PY - 2024
Y1 - 2024
N2 - Constructed Wetlands (CW), as biological treatment systems, mimic the phytoremediation processes found in natural wetlands in an optimized configuration for the improvement of the water quality. They are considered nature-based solutions (NBS) that may support decentralized wastewater treatment providing several ecosystem services, including enhancing water availability and reducing water-related risks. The present study focuses on the performance and operation assessment of an implemented CW in a rural area that is applied to a tourism unit. Under the Project CIRQUA-Integrated Approaches at Local Scale for Enhancing Water Reuse Efficiency and Sustainable Soil Fertilization from Wastewater’s Recovered Nutrients, it is envisaged the upgrade of this CW using technological achievements, such as nanostructured filters and photocatalytic modules, precision irrigation principles, sensors and automation in operation and the integration of advanced artificial intelligence (AI) tools. Wastewater quality assessment and biodiversity characterization are being carried out in order to evaluate the upgrading of the system.
AB - Constructed Wetlands (CW), as biological treatment systems, mimic the phytoremediation processes found in natural wetlands in an optimized configuration for the improvement of the water quality. They are considered nature-based solutions (NBS) that may support decentralized wastewater treatment providing several ecosystem services, including enhancing water availability and reducing water-related risks. The present study focuses on the performance and operation assessment of an implemented CW in a rural area that is applied to a tourism unit. Under the Project CIRQUA-Integrated Approaches at Local Scale for Enhancing Water Reuse Efficiency and Sustainable Soil Fertilization from Wastewater’s Recovered Nutrients, it is envisaged the upgrade of this CW using technological achievements, such as nanostructured filters and photocatalytic modules, precision irrigation principles, sensors and automation in operation and the integration of advanced artificial intelligence (AI) tools. Wastewater quality assessment and biodiversity characterization are being carried out in order to evaluate the upgrading of the system.
M3 - Abstract
SP - 54
EP - 54
Y2 - 21 November 2024 through 22 November 2024
ER -