scholarly journals Phytomanagement of a Trace Element-Contaminated Site to Produce a Natural Dye: First Screening of an Emerging Biomass Valorization Chain

2021 ◽  
Vol 11 (22) ◽  
pp. 10613
Author(s):  
Alexandre Perlein ◽  
Valérie Bert ◽  
Marcella Fernandes de Souza ◽  
Rodolphe Gaucher ◽  
Arnaud Papin ◽  
...  
Keyword(s):  
Trace Element ◽  
Bioconcentration Factor ◽  
Flowering Plant ◽  
Contaminated Site ◽  
Disposal Site ◽  
Biomass Valorization ◽  
Malva Sylvestris ◽  
Textile Fabrics ◽  
Site Characteristics ◽  
Local Value

The study of different possible biomass valorization routes is crucial in order to diversify phytomanagement options, allowing the landowner/stakeholder to choose the best option based on site characteristics and the benefits of local value chains. In the current study, field and laboratory experiments were conducted to assess the suitabilitity of Malva sylvestris L. for the phytoattenuation of a dredged sediment disposal site contaminated with trace elements (trace element (Cd, Cu, Pb, and Zn). The selected crop was Malva sylvestris, a flowering plant from which a colourant can be extracted to be used in dying of textiles as a way to valorize the produced biomass grown on this contaminated land. Under the conditions of the investigated site, the analysis of TE in the sediment and the biomass matrix showed no effect of M. sylvestris on the sediment TE contamination mobility with an excluder phenotype (Bioconcentration factor < 1). Metal concentrations were found to be the highest in the leaves followed by in the stem and flower. The dye extract obtained from the flower part of M. sylvestris permitted the silk alum-pretreated fabric to be dyed yellow, and the TE concentration in the dyed textile fabrics respected the threshold values set by OEKO-Tex standard 100.

An innovative approach for visualization of subsurface soil properties

2004 ◽  
Vol 84 (1) ◽  
pp. 63-70 ◽  
Author(s):  
Z. Hu ◽  
B. Bass ◽  
C. W. Chan ◽  
G. H. Huang
Keyword(s):  
Soil Type ◽  
Concentration Distribution ◽  
Soil Layer ◽  
Soil Classification ◽  
Soil Sampling ◽  
Contaminated Site ◽  
Distribution Data ◽  
Contaminant Concentration ◽  
Type Distribution ◽  
Site Characteristics

Subsurface characterization is an important requirement in the decision-making process of selecting a remediation technique for petroleum-contaminated sites. The soil type distribution is one of the most important site characteristics, because it affects selection of the site remediation technique. The visualization of soil type distribution and also the contaminant concentration distribution in the subsurface can help the decision-maker understand the site and select the proper remediation technique. In this paper, we describe the software Soil-Visual (1.0, 1.1), which is used for visualizing the soil sampling data, the soil type distribution, and contaminant concentration distribution of a contaminated site. This software has two functions: (1) to determine the soil particle size distribution and contaminant concentration distribution of the entire site from limited soil sampling data; and (2) to visualize the multi-dimensional soil type distribution and contaminant concentration distribution data of each soil layer on a two-dimensional map. The red-green-blue (RGB) color illustration method has been used in this software to convert the multi-dimensional soil sampling data into a bitmap. Key words: RGB bitmap, soil classification, visualization

Research on the process-based risk evaluation method of groundwater pollution for contaminated site

2015 ◽  
Vol 16 (1) ◽  
pp. 150-162 ◽  
Author(s):  
Liping Bai ◽  
Yeyao Wang ◽  
Youya Zhou ◽  
Li Liu ◽  
Zengguang Yan ◽  
...  
Keyword(s):  
Groundwater Pollution ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Transport Model ◽  
Groundwater Vulnerability ◽  
Contaminated Sites ◽  
Contaminated Site ◽  
Disposal Site ◽  
Universal Method ◽  
Pollution Risk

A universal method to evaluate groundwater pollution risk with the site scale has not been established. The groundwater pollution risk is commonly evaluated by overlaying the results of groundwater vulnerability and pollution sources, but this method is inapplicable for contaminated sites. Considering the current supervision demands of groundwater pollution in China, this paper suggests a risk evaluation method for contaminated sites. The present and forecasted groundwater pollutant concentrations and the variation trend of groundwater quality were used to get the risk classes of groundwater pollution. Chromium is one of the most common groundwater contaminants found at industrially contaminated sites. A chromium residue disposal site in Baotou, China was selected as the study area. The groundwater flow model and solute transport model were constructed by MODFLOW and MT3DMS. Based on the simulation results of the numerical model, the groundwater pollution risk of the contaminated site was divided into four classes, and the regulation measures of groundwater pollution were suggested. This study could provide guidance for the environmental supervision and management of contaminated sites.

scholarly journals Introduction to the native plant species with phytoremediation potential growing in a high Fe and Zn contaminated site in the copper mine of Dehmadan, Iran

2021 ◽  
Author(s):  
Shokoofeh Hajihashemi ◽  
Shakiba Rajabpoor ◽  
Marian Brestic
Keyword(s):  
Bioconcentration Factor ◽  
Translocation Factor ◽  
Mining Area ◽  
Wild Plants ◽  
Contaminated Site ◽  
Vegetation Density ◽  
Native Plant ◽  
Polluted Environment ◽  
Icp Oes ◽  
Native Plant Species

Abstract Mining activity is one main source of heavy metal pollution. In this study, Al, Ba, Be, Ca, Cd, Co, Ce, Cr, Cu, Fe, Ga, Gd, K, La, Li, Mg, Mn, Na, Nb, Nd, Ni, P, Pb, S, Sc, Si, Sr, Ti, V, Y, Zn and Zr were measured by ICP-OES analyzing of the soils taken in the Dehmadan mining area, Chaharmahal and Bakhtiari, Iran. Al, Fe, Cu, Si and Zn were the most frequent metals in the mining area. Phytoremediation is one of the eco-friendly methods to effectively remediate soils contaminated with heavy metals. Consequently, the wild plants were collected from the mining area and subjected to ICP-OES analysis to determine the elements concentrations. A reverse relation was observed between the metals concentrations and vegetation density in the mining area. Finally, the bioconcentration factor (BCF) of the root and shoot, and translocation factor (TF) were determined to assess phytoremediation potential of species. The shoot elements concentrations in combination with BCF and TF greater than 1 were assess to determine hyperaccumulators and plants with excluder potential. Overall, the results showed that BCF in parallel with TF and metals concentrations can advance the knowledge of recognizing hyperaccumulators for phytoremediation of polluted environment.

scholarly journals Comparing Trace Element Bioaccumulation and Depuration in Snails and Mayfly Nymphs at a Coal Ash–Contaminated Site

2020 ◽  
Vol 39 (12) ◽  
pp. 2437-2449
Author(s):  
Simon Pouil ◽  
Nikki J. Jones ◽  
John G. Smith ◽  
Shovon Mandal ◽  
Natalie A. Griffiths ◽  
...  
Keyword(s):  
Trace Element ◽  
Coal Ash ◽  
Contaminated Site

scholarly journals Trace Element Uptake by Herbaceous Plants from the Soils at a Multiple Trace Element-Contaminated Site

Toxics ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 3 ◽  
Author(s):  
Obinna Nworie ◽  
Junhao Qin ◽  
Chuxia Lin
Keyword(s):  
Trace Elements ◽  
Trace Element ◽  
Plant Species ◽  
Plant Tissue ◽  
Translocation Factor ◽  
Herbaceous Plants ◽  
Contaminated Site ◽  
Marked Accumulation ◽  
Heracleum Sphondylium ◽  
Trace Element Uptake

The uptake of trace elements by wild herbaceous plants in a multiple trace element-contaminated site was investigated. The bioaccumulation factor (BF) of trace elements was markedly variable among the different plant species. On average, the BF for various trace elements was in the following decreasing order: Zn > Cu > Mn > Ni > As > Pb > Cr. The translocation factor among the investigated plant species was also considerably variable and showed the following decreasing order: Mn > Zn > Ni > Cu > Cr > As > Pb. Several hyperaccumulating plants were identified: Artemisia vulgaris for As, Mn and Zn, Phalaris arundinacea for Mn and Ni, Heracleum sphondylium for Cr and Zn, and Bistorta officinalis for Mn and Zn. The marked accumulation of trace elements in the plant tissue suggests that the site may not be suitable for urban agricultural production. The plant tissue-borne trace elements could affect microbial activities and consequently interfere with the ecosystem functioning in the affected areas.

Crosshole IP imaging for engineering and environmental applications

Geophysics ◽  
2004 ◽  
Vol 69 (1) ◽  
pp. 97-107 ◽  
Author(s):  
Andreas Kemna ◽  
Andrew Binley ◽  
Lee Slater
Keyword(s):  
Structural Characteristics ◽  
Environmental Studies ◽  
Contaminated Site ◽  
Disposal Site ◽  
Hydraulic Permeability ◽  
Inversion Algorithm ◽  
Near Surface ◽  
First Case ◽  
Imaging Results

Induced polarization (IP) imaging is a promising tool in engineering and environmental studies. Application of this technique for near‐surface investigations has previously been limited by incomplete understanding of the physicochemical controls on the IP response, together with a lack of appropriate methods for data inversion. As laboratory studies have shown, description of IP in terms of complex electrical conductivity enables access to various structural characteristics pertinent to practical issues such as subsurface lithology definition, hydraulic permeability estimation, or hydrocarbon contaminant mapping. In particular, analysis in terms of real and imaginary conductivity components offers improved lithological characterization, since surface polarization effects are separated from electrolytic and surface conduction effects. An Occam‐type IP inversion algorithm based on complex algebra is described which accounts for these advances in IP interpretation by directly solving for complex conductivity. Results from crosshole applications at two case study sites demonstrate the suitability of the IP imaging approach for subsurface characterization. In the first case study, the imaging results correlate with the observed complex sequence of Quaternary sediments at a waste disposal site. Characterization of the polarizability of these sediments offers significant value in lithological differentiation. In the second case study, the results of IP imaging at a hydrocarbon‐contaminated site illustrate the potential of the method in environmental studies. The hydrocarbon location is clearly evident from the IP image, and a markedly different response is observed at an uncontaminated region of the site. By adopting empirical structural–electrical relationships, images of textural and hydraulic properties are estimated as a step toward improved quantitative characterization. The success of the method for these contrasting applications supports further investigation into understanding the physical and chemical processes that control observed IP.

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