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Enrichi d'un grand nombre de belles figures en taille-douce, représentant les antiquités & les choses remaquables du pais$91200984 997 $aUNIOR LEADER 11678nam 2200541 450 001 9910830309803321 005 20230807193412.0 010 $a1-119-89692-4 010 $a1-119-89691-6 035 $a(MiAaPQ)EBC7267873 035 $a(Au-PeEL)EBL7267873 035 $a(BIP)085817636 035 $a(EXLCZ)9927459136100041 100 $a20230807d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aHybridized technologies for the treatment of mining effluents /$fedited by Elvis Fosso-Kankeu and Bhekie B. Mamba 210 1$aHoboken, NJ :$cJohn Wiley & Sons, Inc.,$d[2023] 210 4$d©2023 215 $a1 online resource (312 pages) 311 08$aPrint version: Fosso-Kankeu, Elvis Hybridized Technologies for the Treatment of Mining Effluents Newark : John Wiley & Sons, Incorporated,c2023 9781119896425 320 $aIncludes bibliographical references and index. 327 $aCover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Passive Remediation of Acid Mine Drainage Using Phytoremediation: Role of Substrate, Plants, and External Factors in Inorganic Contaminants Removal -- 1.1 Introduction -- 1.2 Materials and Methods -- 1.2.1 Samples Collection and Characterization -- 1.2.2 Acquisition of the Plants and Reagents -- 1.2.3 Characterization of Samples -- 1.2.4 Quality Assurance and Quality Control (QA/QC) -- 1.2.5 Wetlands Design and Optimization Experiments -- 1.2.5.1 Wetland Design -- 1.2.5.2 Wetland Experimental Procedure and Assays -- 1.2.5.3 The Performance of the System -- 1.2.5.4 Determination of the Translocation and Distribution of Metals -- 1.2.5.5 Geochemical Modeling -- 1.3 Results and Discussion -- 1.3.1 Remediation Studies -- 1.3.1.1 Effect of FWS-CW on pH -- 1.3.1.2 Effect of FWS-CW on Electrical Conductivity -- 1.3.1.3 Effect of FWS-CW on Sulphate Concentration -- 1.3.1.4 Effect of FWS-CW on Metal Concentration -- 1.3.1.5 Role of Substrate in Metals Accumulation -- 1.3.1.6 Removal Efficiency of Metals and Sulphate in the Experimental System -- 1.3.2 Tolerance Index, Bioaccumulation, and Translocation Effects -- 1.3.2.1 Tolerance Index -- 1.3.2.2 Bioconcentration Factor -- 1.3.2.3 Translocation Factor -- 1.3.2.4 Metal Translocation and Distribution -- 1.3.3 Metals Concentration in Substrate and Vetiveria zizanioides Before and After Contact With AMD -- 1.3.4 Partitioning of Metals Between Substrate, Plants, and External Factors -- 1.3.5 Characterization of Solid Samples -- 1.3.5.1 Elemental Composition of the Substrate -- 1.3.5.2 Mineralogical Composition of the Substrate -- 1.3.5.3 Analysis of Vetiveria zizanioides Roots for Functional Group -- 1.3.5.4 Scanning Electron Microscope-Electron Dispersion Spectrometry of Vetiveria zizanioides Roots. 327 $a1.4 Chemical Species for Untreated and AMD-Treated Wetland With FWS-CW -- 1.5 Limitation of the Study -- 1.6 Conclusions and Recommendations -- References -- Chapter 2 Recovery of Strategically Important Heavy Metals from Mining Influenced Water: An Experimental Approach Based on Ion-Exchange -- Abbreviations -- 2.1 Introduction -- 2.2 Ion Exchange in Mine Water Treatment -- 2.2.1 Ion Exchange Terminology -- 2.2.2 Fundamentals of Ion Exchange Process -- 2.2.3 Selectivity of Ion-Exchange Materials -- 2.2.4 Chelating Cation Exchangers -- 2.3 Laboratory-Scale Ion Exchange Column Experiments -- 2.3.1 General Introduction to the Setup -- 2.3.2 Column Loading Process -- 2.3.3 Mass Transfer Zone -- 2.3.4 Regeneration Process (Deloading) -- 2.3.5 Metal Separation by Ion Exchange -- 2.3.6 Mass Balance Calculations -- 2.4 Case Study: Selective Recovery of Copper and Cobalt From a Chilean Mine Water -- 2.4.1 Problem Description and Objectives -- 2.4.2 Recovery of Copper from Mining Influenced Water -- 2.4.3 Cobalt Enrichment Using the Runoff Water from Previous Column Experiments -- 2.4.3.1 Column Experiment with TP 220 Resin Without pH Adjustment -- 2.4.3.2 Comparison of Breakthrough Curves in Cobalt Enrichment Experiments -- 2.4.4 Copper-Cobalt Separation During the Deloading Process -- 2.5 Case Study: Recovery of Zinc from Abandoned Mine Water Galleries in Saxony, Germany -- 2.6 Perspectives and Challenges -- Acknowledgments -- References -- Chapter 3 Remediation of Acid Mine Drainage Using Natural Materials: A Systematic Review -- 3.1 Introduction -- 3.2 Acid Mine Drainage -- 3.3 Formation of the Acid Mine Drainage -- 3.4 Potential Impacts of Acid Mine Drainage -- 3.4.1 The Impacts of AMD on the Environment and Ecology -- 3.5 Acid Mine Drainage Abatement/Prevention -- 3.6 Mechanisms of Pollutants Removal From AMD -- 3.6.1 Active Treatment. 327 $a3.6.2 Chemical Precipitation -- 3.6.3 Adsorption -- 3.6.4 Passive Treatment -- 3.6.5 Other Treatment Methods -- 3.6.5.1 Ion Exchange -- 3.6.5.2 Membrane Filtration -- 3.6.5.3 Acid Mine Drainage Treatment Using Native Materials -- 3.7 Conclusion -- References -- Chapter 4 Recent Development of Active Technologies for AMD Treatment -- Abbreviations -- 4.1 Introduction -- 4.1.1 Difference Between Active and Nonactive AMD Treatment Methods -- 4.1.2 Conventional Active Techniques for AMD Treatment -- 4.1.2.1 Alkali/Alkaline Neutralization Processes -- 4.1.2.2 In Situ Active AMD Treatment Processes -- 4.1.2.3 Microbiological Active AMD Treatment Systems -- 4.2 Recent Developments of Active AMD Treatment Technologies -- 4.2.1 Resource Recovery From Active AMD Treatment Technologies -- 4.2.1.1 Continuous Counter-Current-Based Technologies -- 4.2.1.2 Continuous Ion Filtration for Acid Mine Drainage Treatment -- 4.2.2 The Alkali-Barium-Calcium Process -- 4.2.3 Magnesium-Barium Oxide (MBO) Process -- 4.2.4 HybridICE Freeze Desalination Technology -- 4.2.5 Evaporation-Based Technologies -- 4.2.5.1 Multieffect Membrane Distillation (MEND) for AMD Treatment -- 4.2.5.2 Desalination of AMD Using Dewvaporation Process -- 4.2.5.3 Membrane-Based Technologies -- 4.3 Recent Disruptive Developments of AMD Treatment Technologies -- 4.3.1 Tailing Technology -- 4.3.2 Advanced Oxidation Processes -- 4.3.2.1 Ferrate Oxidation-Neutralization Process -- 4.3.2.2 Treatment of AMD by Ozone Oxidation -- 4.3.2.3 Ion-Exchange Technology for Active AMD Treatment -- References -- Chapter 5 Buffering Capacity of Soils in Mining Areas and Mitigation of Acid Mine Drainage Formation -- Abbreviations -- 5.1 Introduction -- 5.2 Control of Acid Mine Drainage -- 5.2.1 Water Covers -- 5.2.2 Mine Land Reclamation -- 5.2.3 Biocidal AMD Control -- 5.2.4 Alternative Dump Construction. 327 $a5.3 Treatment of Acid Mine Drainage -- 5.3.1 Active Treatment -- 5.3.1.1 Limestone -- 5.3.1.2 Hydrated Lime -- 5.3.1.3 Quicklime -- 5.3.1.4 Soda Ash -- 5.3.1.5 Caustic Soda -- 5.3.1.6 Ammonia -- 5.3.2 Passive Treatment -- 5.3.2.1 Biological Passive Treatment Systems -- 5.3.2.2 Geochemical Passive Treatment Systems -- 5.3.3 Emerging Passive Treatment Systems -- 5.3.3.1 Phytoremediation -- References -- Chapter 6 Novel Approaches to Passive and Semi-Passive Treatment of Zinc.Bearing Circumneutral Mine Waters in England and Wales -- 6.1 Introduction -- 6.1.1 Active Treatment Options for Zn -- 6.1.2 Passive Treatment Options for Zn -- 6.2 Hybrid Semi-Passive Treatment: Na2CO3 Dosing and Other Water Treatment Reagents -- 6.2.1 Abbey Consols Mine Water -- 6.2.2 Laboratory Scale Na2CO3 Dosing -- 6.2.3 Practical Implementation of Na2CO3 Dosing -- 6.3 Polishing of Trace Metals With Vertical Flow Reactors -- 6.4 Concluding Remarks -- References -- Chapter 7 Recovery of Drinking Water and Valuable Metals From Iron-Rich Acid Mine Water Through a Combined Biological, Chemical, and Physical Treatment Process -- 7.1 Introduction -- 7.1.1 General Problem with Mine Water -- 7.1.2 Legislation -- 7.1.3 Ideal Solution -- 7.2 Objectives -- 7.3 Literature -- 7.3.1 Mine Water Treatment Processes -- 7.3.1.1 Limestone -- 7.3.1.2 Gypsum Crystallization and Inhibition -- 7.3.1.3 ROC -- 7.3.1.4 Biological Iron (II) Oxidation -- 7.3.1.5 Selective Metal Removal -- 7.3.2 Solubilities -- 7.3.3 Pigment -- 7.4 Materials and Methods -- 7.4.1 Fe2+ Oxidation -- 7.4.1.1 Feedstock -- 7.4.1.2 Equipment -- 7.4.1.3 Procedure -- 7.4.1.4 Experimental -- 7.4.2 Neutralization (CaCO3, Na2CO3 and MgO) -- 7.4.2.1 Feedstock -- 7.4.2.2 Equipment -- 7.4.2.3 Procedure -- 7.4.2.4 Experimental -- 7.4.3 pH 7.5 Sludge From Na2CO3 as Alkali for Fe3+ Removal -- 7.4.3.1 Feedstock -- 7.4.3.2 Equipment. 327 $a7.4.3.3 Procedure -- 7.4.3.4 Experimental -- 7.4.4 Inhibition -- 7.4.4.1 Feedstock -- 7.4.4.2 Equipment -- 7.4.4.3 Procedure -- 7.4.4.4 Experimental -- 7.4.5 MgO/SiO2 Separation -- 7.4.5.1 Feedstock -- 7.4.5.2 Equipment -- 7.4.5.3 Procedure -- 7.4.5.4 Experimental -- 7.4.6 SiO2 Removal -- 7.4.7 Pigment Formation -- 7.4.7.1 Feedstock -- 7.4.7.2 Equipment -- 7.4.7.3 Procedure -- 7.4.7.4 Experimental -- 7.4.8 Analytical -- 7.4.9 Characterization of the Sludge -- 7.4.10 OLI -- 7.5 Results and Discussion -- 7.5.1 Chemical Composition -- 7.5.2 Biological Fe2+-Oxidation -- 7.5.3 CaCO3 as Alkali for Removal of Fe3+ and Remaining Metals -- 7.5.3.1 Limestone Neutralization -- 7.5.3.2 pH 7.5 Sludge from Na2CO3 as Alkali for Fe+3 Removal -- 7.5.4 MgO and Na2CO3 as Alkalis for Selective Removal of Fe3+ and Al3+ -- 7.5.4.1 Fe3+ Removal with MgO -- 7.5.4.2 Al3+ Removal with Na2CO3 -- 7.5.4.3 Metal Behavior as Predicted by OLI Simulations -- 7.5.5 Gypsum Crystallization -- 7.5.5.1 Kinetics Gypsum Seed Crystal Concentration and Reaction Order -- 7.5.5.2 Inhibition of Gypsum Crystallization in the Absence of Fe(OH)3 at Neutral pH -- 7.5.6 Separation of MgO and SiO2 -- 7.5.7 Si4+ Removal from Solution -- 7.5.8 Fe(OH)3 Purity and Pigment Formation -- 7.5.9 Economic Feasibility -- 7.6 Conclusions -- Acknowledgment -- References -- Chapter 8 Acid Mine Drainage Treatment Technologies: Challenges and Future Perspectives -- 8.1 Introduction -- 8.2 Acid Mine Drainage -- 8.2.1 Acid Mine Drainage Formation -- 8.2.2 Roles of Different Factors Influencing AMD Formation -- 8.2.2.1 Role of Bacteria in Acid Mine Drainage Generation -- 8.2.2.2 Role of Oxygen in Acid Mine Drainage Generation -- 8.2.2.3 Role of Water in Acid Mine Drainage Generation -- 8.2.2.4 Other Factors Influencing the Generation of AMD -- 8.3 Types of Mine Drainage -- 8.3.1 Neutral/Alkaline Mine Drainage. 327 $a8.4 Physicochemical Properties of AMD. 330 8 $aRecent developments consist of the integration/hybridization of technologies to achieve the effective removal of pollutants from acid mine drainage (AMD) effluents in a stepwise manner such as to ensure that the cost of the process is minimized, and the resulting water is fit for purpose. This book presents eight specialized chapters that provide a state-of-the-art review of the different hybridized technologies that have been developed over the years for the treatment of mine effluent, including AMD. The successful implementation and challenges of these technologies are highlighted to give the reader a perspective on the management of such waste in the mining industry. 606 $aMineral industries$xWaste disposal 610 $aMicrobiology 610 $aMineralogy 610 $aChemistry, Organic 610 $aScience 615 0$aMineral industries$xWaste disposal. 676 $a338.23 702 $aFosso-Kankeu$b Elvis 702 $aMamba$b Bhekie B. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830309803321 996 $aHybridized technologies for the treatment of mining effluents$93951758 997 $aUNINA LEADER 05818nam 22007575 450 001 9910143604003321 005 20251116234126.0 010 $a3-540-44992-2 024 7 $a10.1007/3-540-44992-2 035 $a(CKB)1000000000211408 035 $a(SSID)ssj0000322717 035 $a(PQKBManifestationID)11222870 035 $a(PQKBTitleCode)TC0000322717 035 $a(PQKBWorkID)10305711 035 $a(PQKB)10578501 035 $a(DE-He213)978-3-540-44992-8 035 $a(MiAaPQ)EBC3072382 035 $a(PPN)155164066 035 $a(EXLCZ)991000000000211408 100 $a20121227d2001 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aDNA Computing $e6th International Workshop on DNA-Based Computers, DNA 2000, Leiden, The Netherlands, June 13-17, 2000. Revised Papers /$fedited by Anne Condon, Grzegorz Rozenberg 205 $a1st ed. 2001. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2001. 215 $a1 online resource (CCLXXXVIII, 278 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v2054 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-42076-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aEngineered communications for microbial robotics -- Successive state transitions with I/O interface by molecules -- Solution of a satisfiability problem on a gel-based DNA computer -- Diophantine equations and splicing: A new demonstration of the generative capability of H systems -- About time-varying distributed H systems -- String tile models for DNA computing by self-assembly -- From molecular computing to molecular programming -- Graph replacement chemistry for DNA processing -- DNA and circular splicing? -- Molecular computing with generalized homogeneous P-systems -- Computationally inspired biotechnologies: Improved DNA synthesis and associative search using Error-Correcting Codes and Vector-Quantization? -- Challenges and applications for self-assembled DNA nanostructures? -- A space-efficient randomized DNA algorithm for k-SAT -- A DNA-based random walk method for solving k-SAT -- Solving computational learning problems of Boolean formulae on DNA computers -- The fidelity of annealing-ligation: A theoretical analysis -- DNA implementation of a Royal Road fitness evaluation -- Steady flow micro-reactor module for pipelined DNA computations. 330 $aThe papers in this volume were presented at the 6th International Meeting on DNA Based Computers, organized by the Leiden Center for Natural Computing and held from June 13 to June 17, 2000 at The Lorentz Center, University of Leiden, Leiden, The Netherlands. DNA Computing is a novel and fascinating development at the interface of computer science and molecular biology. It has emerged in recent years, not simply as an exciting technology for information processing, but also as a catalyst for knowledge transfer between information processing, nanotechnology, and biology. This area of research has the potential to change our understanding of the theory and practice of computing. The call for papers and poster presentations sought contributions of original research and technical expositions in all areas of bio-computation. A total of 33 abstracts were submitted of which 16 were accepted for presentation and included in the proceedings. The papers were selected by the program committee based on originality and quality of research and on relevance to the bio-computing eld. Invited talks were given by Masami Hagiya (Tokyo University), Laura La- weber (Princeton University), John Reif (Duke University), Thomas Schmidt (Leiden University), and Lloyd M. Smith (University of Wisconsin). Invited - pers based on the talks by Hagiya and Reif are included in this volume, along with the contributed papers. Additional tutorials were held on the rst and last days of the conference. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v2054 606 $aComputer programming 606 $aLogic, Symbolic and mathematical 606 $aComputers 606 $aAlgorithms 606 $aArtificial intelligence 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aMathematical Logic and Foundations$3https://scigraph.springernature.com/ontologies/product-market-codes/M24005 606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputer programming. 615 0$aLogic, Symbolic and mathematical. 615 0$aComputers. 615 0$aAlgorithms. 615 0$aArtificial intelligence. 615 14$aProgramming Techniques. 615 24$aMathematical Logic and Foundations. 615 24$aTheory of Computation. 615 24$aComputation by Abstract Devices. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aArtificial Intelligence. 676 $a511.3 702 $aCondon$b Anne$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRozenberg$b Grzegorz$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Workshop on DNA-Based Computers. 906 $aBOOK 912 $a9910143604003321 996 $aDNA Computing$9378179 997 $aUNINA