Combining Sequential Gaussian Simulation with Linear Regression to Develop Rehabilitation Strategies Using a Hydrometallurgical Process to Simultaneously Remove Metals, PCP, and PCDD/F from a Contaminated Soil-Reference-Cited by-同舟云学术

Combining Sequential Gaussian Simulation with Linear Regression to Develop Rehabilitation Strategies Using a Hydrometallurgical Process to Simultaneously Remove Metals, PCP, and PCDD/F from a Contaminated Soil

Published:2020-11-22 Issue:3 Volume:30 Page:275-291
ISSN:1532-0383
Container-title:Soil and Sediment Contamination: An International Journal
language:en
Short-container-title:Soil and Sediment Contamination: An International Journal

Author:

Metahni Sabrine¹^ORCID,Coudert Lucie²,Gloaguen Erwan¹,Tran Lan Huong³,Guemiza Karima⁴,Mercier Guy¹,Blais Jean-Francois¹

Affiliation:

1. Centre Eau Terre Environnement, Institut National De La Recherche Scientifique (Centre Eau, Terre Et Environnement), Université Du Québec, Québec, Québec, Canada

2. Centre Eau Terre Environnement, Université Du Québec En Abitibi-Témiscamingue (Institut De Recherche En Mines Et Environnement), Université Du Québec, Rouyn-Noranda, Québec, Canada

3. Centre Eau Terre Environnement, Research Associate, Institut National De La Recherche Scientifique (Centre Eau Terre Environnement), Université Du Québec, Québec, Canada

4. Centre Eau Terre Environnement, Centre Technologique Des Résidus Industriels En Abititi-Témiscamingue, Rouyn-Noranda, Québec, Canada

Funder

Natural Sciences and Engineering Research Council of Canada and IREQ

Publisher

Informa UK Limited

Subject

Health, Toxicology and Mutagenesis,Pollution,Soil Science,Environmental Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/15320383.2020.1849019

Reference44 articles.

1. Comparison of GIS-based interpolation methods for spatial distribution of soil organic carbon (SOC)

2. Decontamination of metals and polycyclic aromatic hydrocarbons from slag-polluted soil

3. Artificial neural networks to evaluate organic and inorganic contamination in agricultural soils

4. Quantification and minimization of uncertainty by geostatistical simulations during the characterization of contaminated sites: 3-D approach to a multi-element contamination