Effect of different soil washing solutions on bioavailability of residual arsenic in soils and soil properties

Chemosphere ◽  
2015 ◽  
Vol 138 ◽  
pp. 253-258 ◽  
Author(s):  
Jinwoo Im ◽  
Kyung Yang ◽  
Eun Hea Jho ◽  
Kyoungphile Nam
Keyword(s):  
Chemosphere ◽  
2020 ◽  
Vol 260 ◽  
pp. 127673
Author(s):  
Anela Kaurin ◽  
Simon Gluhar ◽  
Natasha Tilikj ◽  
Domen Lestan

2021 ◽  
Vol 13 (22) ◽  
pp. 12523
Author(s):  
Sang-Hwan Lee ◽  
Soon-Oh Kim ◽  
Sang-Woo Lee ◽  
Min-Suk Kim ◽  
Hyun Park

Global governance of soil resources as well as revitalizations and remediation of degraded areas seem to be necessary actions for sustainable development. A great deal of effort has gone into developing remediation technologies to remove or reduce the impact of these contaminants in the environment. However, contaminated soil remediations in stringent conditions deteriorate soil properties and functions and create the need for efficient soil revitalization measures. Soil washing (SW) and thermal desorption (TD) are commonly used to remediate contaminated soil and can significantly reduce the contaminant, sometimes to safe levels where reuse can be considered; however, the effects of treatment on soil quality must be understood in order to support redevelopment after remediation. In this review, we discussed the effects of SW and TD on soil properties, including subsequent soil quality and health. Furthermore, the importance of these techniques for remediation and reclamation strategies was discussed. Some restoration strategies were also proposed for the recovery of soil quality. In addition, remediated and revitalized soil can be reused for various purposes, which can be accepted as an implementation of sustainable remediation. This review concludes with an outlook of future research efforts that will further shift SW and TD toward sustainable remediation.


2020 ◽  
Vol 25 (4) ◽  
pp. 543-553
Author(s):  
Ricardo Silva Coelho ◽  
Mônica Cristina Teixeira

RESUMO A mineração de ouro é uma das principais fontes de contaminação de arsênio (As) no Quadrilátero Ferrífero em Minas Gerais. O As é um elemento tóxico capaz de causar sérios danos à saúde humana. Com o objetivo de investigar formas mais ecológicas e igualmente eficientes para a remoção de As em solos, empregou-se a técnica de lavagem de solos (soil washing) com uso de extratos com biossurfactantes (BS) visando promover a mobilização do As contido em solo de mina de ouro abandonada. Para a produção dos extratos, foram selecionadas duas culturas mistas de bactérias produtoras de BS (MPCB e MPBR) tolerantes a alta concentração de arsênio (8 mg.L-1). Os tensoativos produzidos foram estáveis em ampla faixa de pH, 3-11; temperatura, 28-50ºC e salinidade, 1-5% NaCl (p.v-1). Nos testes de lavagem de solo, em pH 11, as remoções de As obtidas com os extratos MPCB (14,01 e 13,72%) e MPBR (12,04 e 12,31%) foram superiores àquelas obtidas com soluções a 1% (p.v-1) dos surfactantes comerciais SDS (0,87 e 0,71%); saponina (0,57 e 0,55%) e lecitina de soja (2,05 e 2,63%). Os resultados dos testes em coluna foram igualmente influenciados pelo pH e pela proporção sólido:líquido. As maiores remoções de As: 25,43% (MPCB) 22,43% (MPBR) foram obtidas em pH 11, na proporção 1:40 (g.mL-1), após 10 ciclos de extração. Os extratos MPCB e MPBR removeram o As solúvel em água, os íons ligados ao carbonato e aqueles adsorvidos. Ambos os extratos tiveram comportamento semelhante ao ácido etilenodiaminotetracético (EDTA) e ao extrato de cultura microbiana comercial (GorduraKlin®).


2014 ◽  
Vol 11 (1) ◽  
pp. 15
Author(s):  
Set Foong Ng ◽  
Pei Eng Ch’ng ◽  
Yee Ming Chew ◽  
Kok Shien Ng

Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site. In this paper, an estimator is derived to estimate the unknown values for soil properties from locations where soil samples were not collected. The estimator is obtained by combining the concept of the ‘Inverse Distance Method’ into the technique of ‘Kriging’. The method of Lagrange Multipliers is applied in this paper. It is shown that the estimator derived in this paper is an unbiased estimator. The partiality of the estimator with respect to the true value is zero. Hence, the estimated value will be equal to the true value of the soil property. It is also shown that the variance between the estimator and the soil property is minimised. Hence, the distribution of this unbiased estimator with minimum variance spreads the least from the true value. With this characteristic of minimum variance unbiased estimator, a high accuracy estimation of soil property could be obtained.


2020 ◽  
Vol 16 (2) ◽  
pp. 41-63
Author(s):  
V.L. Zakharov ◽  
◽  
G.N. Pugachev ◽  

2018 ◽  
Vol 32 (5) ◽  
pp. 37
Author(s):  
Rajaram Majhi ◽  
Gouri Sankar Bhunia ◽  
Tapan Kumar Das ◽  
Pravat Kumar Shit ◽  
Rabindranath Chattopadhyay

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