Comparison of heavy metal accumulation in a natural wetland and constructed wetlands receiving acid mine drainage

Mays, Pascal; Edwards, G.S

doi:10.1016/s0925-8574(00)00112-9

Cited by 238 publications

(99 citation statements)

References 13 publications

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“…This is true for almost all large wetlands. This is consistent with a study published by Mays and Edwards (2001) in which heavy metals Mn, Zn, Cu, Ni and Cr were re- ported to be accumulated in plants; however, the total plant accumulations were substantially less. Furthermore, Barley et al (2005) report that Fe and As are preferentially taken up in plant roots more than the stems and that higher metal concentrations were recorded in sediments.…”

Section: Discussionsupporting

confidence: 93%

Ecological modelling of a wetland for phytoremediating Cu, Zn and Mn in a gold–copper mine site using Typha domingensis (Poales: Typhaceae) near Orange, NSW, Australia

Subrahmanyam

Adams

Raman

et al. 2017

European Journal of Ecology

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An artificial wetland was computationally modelled using STELLA®, a graphical programming tool for an Au-Cu mine site in Central-west NSW, the aim of which was to offer a predictive analysis of a proposed wetland for Cu, Zn and Mn removal using Typha domingensis as the agent. The model considers the important factors that impact phytoremediation of Cu, Zn and Mn. Simulations were performed to optimise the area of the wetland; concentration of Cu, Zn and Mn released from mine (AMD); and flow rates of water for maximum absorption of the metals. A scenario analysis indicates that at AMD = 0.75mg/L for Cu, Zn and Mn, 12.5, 8.6, and 357.9 kg of Cu, Zn and Mn, respectively, will be assimilated by the wetland in 35 years, which would be equivalent to 61 mg of Cu/kg, 70 mg of Zn/kg and 2,886 mg of Mn/kg of T. domingensis, respectively. However, should Cu, Zn and Mn in AMD increase to 3 mg/L, then 18.6 kg of Cu and 11.8 kg of Zn, respectively, will be assimilated in 35 years, whereas no substantial increase in absorption for Mn would occur. This indicates that 91 mg of Cu, 96 mg of Zn and 2917 mg of Mn will be assimilated for every kg of T. domingensis in the wetland. The best option for Cu storage would be to construct a wetland of 50,000 m 2 area (AMD = 0.367 mg/L of Cu), which would capture 14.1 kg of Cu in 43 years, eventually releasing only 3.9 kg of Cu downstream. Simulations performed for a WA of 30,000 m 2 indicate that for AMD = 0.367 mg/L of Zn, the wetland captures 6.2 kg, releasing only 3.5 kg downstream after 43 years; the concentration of Zn in the leachate would be 10.2 kg, making this the most efficient wetland amongst the options considered for phytoremediating Zn. This work will help mine managers and environmental researchers in developing an effective environmental management plan by focusing on phytoremediation, with a view at extracting Cu, Zn and Mn from the contaminated sites. INTRODUCTIONABSTRACT ecological modelling, heavy-metal removal, restoration ecology, phytoremediation, sustainable development, Typha domingensis KEYWORDS

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Section: Discussionsupporting

confidence: 93%

Ecological modelling of a wetland for phytoremediating Cu, Zn and Mn in a gold–copper mine site using Typha domingensis (Poales: Typhaceae) near Orange, NSW, Australia

Subrahmanyam

Adams

Raman

et al. 2017

European Journal of Ecology

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“…Timescales for detecting changes may be long (75), indicating impacts principally to base flow chemistry. Inferences based on nutrients apply to other contaminants [metals (108) and pesticide (109)], where retention is enabled by low redox conditions and organic matter storage, common features of all wetland settings, including GIWs (28).…”

Section: Fig 2 Across Blocks (A-h Maps Inmentioning

confidence: 99%

Do geographically isolated wetlands influence landscape functions?

Cohen

Creed

Alexander

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

342

334

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Geographically isolated wetlands (GIWs), those surrounded by uplands, exchange materials, energy, and organisms with other elements in hydrological and habitat networks, contributing to landscape functions, such as flow generation, nutrient and sediment retention, and biodiversity support. GIWs constitute most of the wetlands in many North American landscapes, provide a disproportionately large fraction of wetland edges where many functions are enhanced, and form complexes with other water bodies to create spatial and temporal heterogeneity in the timing, flow paths, and magnitude of network connectivity. These attributes signal a critical role for GIWs in sustaining a portfolio of landscape functions, but legal protections remain weak despite preferential loss from many landscapes. GIWs lack persistent surface water connections, but this condition does not imply the absence of hydrological, biogeochemical, and biological exchanges with nearby and downstream waters. Although hydrological and biogeochemical connectivity is often episodic or slow (e.g., via groundwater), hydrologic continuity and limited evaporative solute enrichment suggest both flow generation and solute and sediment retention. Similarly, whereas biological connectivity usually requires overland dispersal, numerous organisms, including many rare or threatened species, use both GIWs and downstream waters at different times or life stages, suggesting that GIWs are critical elements of landscape habitat mosaics. Indeed, weaker hydrologic connectivity with downstream waters and constrained biological connectivity with other landscape elements are precisely what enhances some GIW functions and enables others. Based on analysis of wetland geography and synthesis of wetland functions, we argue that sustaining landscape functions requires conserving the entire continuum of wetland connectivity, including GIWs.connectivity | navigable waters | significant nexus Understanding connectivity-patterns of matter, energy, and organism exchanges among landscape elements and across scales-is a challenge that unites the fields of ecology and hydrology (1). Connectivity enables dispersal of organisms and flows of water between landscape elements at multiple spatial and temporal scales

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“…In different seasons, the load of these two sources might be different. Human activities have easily altered the heavy metal concentrations in the riparian environment (Mays and Edwards 2001;Zhang et al 2009). Therefore, the heavy metal contamination in the riparian zone has attracted increasing concern in recent years.…”

Section: Introductionmentioning

confidence: 99%

Assessing the heavy metal contamination of soils in the water-level fluctuation zone upstream and downstream of the Manwan Dam, Lancang River

et al. 2014

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Purpose The intersections of the terrestrial and aquatic systems (water-level fluctuation zones, WLFZs) suffer from the increasing pressure of hydroelectric construction and operation. Taking WLFZs upstream and downstream of Manwan Dam (first dam completed in Lancang River) as an example, the dam operation impacts on the heavy metals in soils in WLFZs were assessed. Materials and methods In December 2011, 117 soil samples were collected in the WLFZs and infralittoral reference zones (IRZs) with respect to heavy metal (Cd, Cr, Cu, Ni, Pb and Zn) and metalloid (As) concentrations. Their concentrations were determined with the application of inductively coupled plasma atomic absorption spectrometry, ICP-AES. Enrichment factor (EF), ecological risk index (RI) and principal component analysis (PCA) were employed for element contamination and ecological risk assessment and source identification, respectively. The multivariable statistic approaches, an analysis of variance (ANOVA) and a paired-samples T test were performed in the data analysis.Results and discussion Parts of element concentrations in the upstream were significantly higher than those in the downstream and significant differences existed between the WLFZs and IRZs. No significant difference was detected between the different water elevations in the WLFZs. Compared to the soil quality guidelines, As and Cd exceeded the standard in both the WLFZs and IRZs. In addition, the water-level fluctuation during the submergence increased the enrichment degree and risk level in the WLFZs. The sources of the studied elements could be divided into natural factors and anthropogenic inputs. In addition, the submergence changed the major contaminants in the upstream WLFZs. Conclusions The results verified that dam operation had an effect on the heavy metals in the soils in WLFZs. In addition, this study proposed a useful tool (modified enrichment factor) to assess the enrichment degree caused by the water-level fluctuation. Assessing the heavy metal contamination of soils in WLFZs could be an important first step to the rational management of the dam operation.

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Comparison of heavy metal accumulation in a natural wetland and constructed wetlands receiving acid mine drainage

Cited by 238 publications

References 13 publications

Ecological modelling of a wetland for phytoremediating Cu, Zn and Mn in a gold–copper mine site using Typha domingensis (Poales: Typhaceae) near Orange, NSW, Australia

Ecological modelling of a wetland for phytoremediating Cu, Zn and Mn in a gold–copper mine site using Typha domingensis (Poales: Typhaceae) near Orange, NSW, Australia

Do geographically isolated wetlands influence landscape functions?

Assessing the heavy metal contamination of soils in the water-level fluctuation zone upstream and downstream of the Manwan Dam, Lancang River

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