Charlotte Dykes , Jonathan Pearson , Gary D. Bending , Soroush Abolfathi
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引用次数: 0
Abstract
Surface flow constructed wetlands (CWs) are a nature-based wastewater treatment technology designed to serve as a buffer between wastewater treatment plants (WWTPs) and the receiving environment. While the treatment efficacy of CWs has been investigated, surface flow systems are susceptible to hydraulic inefficiencies, and a comprehensive understanding of the factors influencing pollutant transport remains limited, hindering their optimisation and predictability. The hydraulic performance of a CW, determined by the efficiency of flow hydrodynamics, dictates the residence time and spatial interactions between pollutant-laden water and purification mechanisms, such as those provided by vegetation and substrate. However, unstandardised designs and a limited understanding of water-sediment-plant interactions often result in sub-optimal hydraulic conditions, such as short-circuiting and dead zones, which impair treatment efficiency. This study investigates the influence of inter-seasonal climate variability, vegetation growth cycles, and operational conditions on the interplay between hydraulic performance, and subsequent pollution removal efficacy, in a full-scale integrated surface flow CW located in Norfolk, UK. Five tracer test campaigns were conducted during 2022–2023 using Rhodamine WT dye and fluorometric sensors to evaluate seasonal variations in hydraulic behaviour across four interconnected vegetated Cells. Hydraulic performance was characterised using indices such as mean residence time, tank-in-series model, hydraulic efficiency, effective volume ratio, short-circuiting, mixing, and dispersion coefficients. To understand the roles of CW design, operation, vegetation, and climate on hydraulic performance, high-resolution LiDAR vegetation scans, nutrient concentrations, and climate monitoring data were collected concurrently with the tracer tests. The combined mean residence time ranged from 30.03 h in autumn to 47.67 h in summer. Individual Cell hydraulic indexes revealed significant non-uniform flow patterns, with 80 % of tracer tests indicating poor ( < 0.5) hydraulic efficiency and 55 % exhibiting dead zones occupying >50 % of the Cell volume. These inefficiencies were predominantly driven by smaller Cell geometries, sub-optimal inlet-outlet configurations, high influent hydraulic loading rates (0.47 to 0.66 m3/day/m2), and high emergent vegetation cover. Despite these hydraulic deviations, Cell nutrient removal performance was more strongly influenced by vegetation growth stage and seasonal water physicochemical conditions. These findings provide novel field-scale data into how design, seasonal, and operational factors influence CW performance, highlighting the critical need for enhanced design and management strategies to optimise hydraulic and treatment performance in CWs, particularly in climate variability.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.