Providing an introduction, the scientific background, case studies and future perspectives of in-situ arsenic remediation technologies for soils, soil water and groundwater at geogenic and anthropogenic contaminated sites. The case studies present in-situ technologies about natural arsenic, specifically arsenate and arsenite, but also about organic arsenic compounds. This work covers geochemical, microbiological and plant ecological solutions for arsenic remediation.
Providing an introduction, the scientific background, case studies and future perspectives of in-situ arsenic remediation technologies for soils, soil water and groundwater at geogenic and anthropogenic contaminated sites. The case studies present in-situ technologies about natural arsenic, specifically arsenate and arsenite, but also about organic arsenic compounds. This work covers geochemical, microbiological and plant ecological solutions for arsenic remediation.
Jochen Bundschuh (1960, Germany), finished his PhD on numerical modeling of heat transport in aquifers in Tübingen in 1990. He is working in geothermics, subsurface and surface hydrology and integrated water resources management, and connected disciplines. Hartmut Holländer is a civil engineer specialized in numerical groundwater modeling. He covers the undergraduate and graduate courses of Groundwater Hydrology, Groundwater Contamination, and Groundwater and Solute Transport Modelling at the University of Manitoba. Lena Q. Ma is a Professor in the Soil and Water Science Department at the University of Florida. Professor Ma published nearly 200 refereed journal articles and book chapters.
Inhaltsangabe
1) Introduction to in-situ remediation SECTION I: FUNDAMENTALS AND BACKGROUND 2) Background of in-situ remediation a. Geochemical background of in-situ remediation b. Microbial background of in-situ remediation c. Phytoremediation background d. Engineering and technical background (e.g. monitoring & reactive zones/barriers) e. Numerical modelling 3) Remediation technologies a. Subterrean in-situ remediation (aquifer) b. Phytoremediation (soils) c. Electrokinetic remediation (soils) d. Reactive barriers SECTION II: CASE STUDIES 4) Soils (unsaturated zone) a. Electrokinetic remediation of arsenic-contaminated soils b. One more case study - phytoremediation 5) Geogenic contaminated sites a. Subsurface removal of iron and arsenic in Bangla Desh b. One more case study 6) Mining-related contaminated sites 7) Anthropogenic contaminated sites a. In situ remediation of arsenic at a highly contaminated site b. One more case study (NN) / e.g. case study reactive barrier c. (Monitoring of) natural attenuation 8) Technical sustainability of in-situ remediation 9) Ecological sustainability of in-situ remediation 10) Economical sustainability of in-situ remediation 11) Modeling of in-situ remediation methods and prediction
1) Introduction to in-situ remediation SECTION I: FUNDAMENTALS AND BACKGROUND 2) Background of in-situ remediation a. Geochemical background of in-situ remediation b. Microbial background of in-situ remediation c. Phytoremediation background d. Engineering and technical background (e.g. monitoring & reactive zones/barriers) e. Numerical modelling 3) Remediation technologies a. Subterrean in-situ remediation (aquifer) b. Phytoremediation (soils) c. Electrokinetic remediation (soils) d. Reactive barriers SECTION II: CASE STUDIES 4) Soils (unsaturated zone) a. Electrokinetic remediation of arsenic-contaminated soils b. One more case study - phytoremediation 5) Geogenic contaminated sites a. Subsurface removal of iron and arsenic in Bangla Desh b. One more case study 6) Mining-related contaminated sites 7) Anthropogenic contaminated sites a. In situ remediation of arsenic at a highly contaminated site b. One more case study (NN) / e.g. case study reactive barrier c. (Monitoring of) natural attenuation 8) Technical sustainability of in-situ remediation 9) Ecological sustainability of in-situ remediation 10) Economical sustainability of in-situ remediation 11) Modeling of in-situ remediation methods and prediction
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