Table Of Content

WATER, AIR, AND SOIL POLLUTION Cumulative Keyword & Author Index Volumes 93-100 (1997) KEY WORD INDEX — VOLUMES 93-100 A As chemical forms 93, 117 Acari 97, 287 As effects 93, 109 Acari 94, 71 As solid phase 93, 117 Accumulation 93, 367 As solubility 93, 117 Ashes 93, 93 Accumulative P release 99, 401 Atlantic shelf 99, 507 ACF 97, 367 Atmosphere 93, 59; 97, 257; 98, 255 Acid base chemistry 96, 211 Atmospheric aerosol 96, 145 Acid deposition 94, 163; 96, 93; 98, 297, 325; Atmospheric deposition 97, 303 Acid deposition episodes 96, 73 Atomic absorption spectrometry 96, 145 Acid digestion procedure 96, 145 Australian rivers 99, 487 Acid fraction 98, 325 Autoecology 99, 593 Acid mine drainage 94, 401; 96, 39; 98, 57 Automobile 94, 373 Acid neutralization 97, 303 Avenidas basin 96, 185 Acid precipitation 94, 225 Acid rain 96, 73, 93, 211, 301; 98, 79, 325 B Acid-sensitive lakes 96, 17 Back trajectory analysis 96, 73, 93 Acidification 93, 27, 255; 96, 17, 203, 347 Bacteria 93, 367; 98, 17; 99, 45, 515, 661 Acidification and recovery 94, 225 Bacteriophages 98, 17 Acidifying agent 94, 33 Bacteroides fragilis phages 96, 175 Adriatic Sea 99, 305, 435 Base cations 96, 155; 99, 373 Adsorption 97, 367; 99, 411; 98, 43, 213 Batch experiment 96, 301 Aerosol effect 94, 259 Bed 99, 81 Aerosols 94, 417 Bed exchange 99, 113 Aggregation 99, 33 Bedform 99, 113 Air pollution 93, 395; 98, 381 Beech 96, 329 Air pollution history 94, 59 Bend 99, 81 Airborne pollution 98, 361 Benthic fluxes 99, 305 Alkaline phosphatase 99, 671 Benthic populations 99, 615 Alkalinity 99, 373, 381 Beryllium 94, 297 Allium test 94, 181 Bioaccumulation 94, 109; 99, 187 Allotment gardens 96, 61 Bioavailability 99, 187, 255 Alps 93, 67 Biofilms 99, 651 Aluminium 94, 401; 99, 283 Biofuel 93, 93 Aluminium leaching 93, 1 Bioindicators 93, 321; 94, 71; 97, 287; 98, Aluminium toxicity 96, 321; 98, 229 381; 99, 615 Amalgamation 97, 209 Biological solubilization 96, 249 Americium-241 99, 210 Biomonitoring 96, 329; 97, 265; 98, 381 Ammonia stripping 94, 209 Biosorption 99, 651 Ammonium 93, 225; 99, 373 Biotransformation of As 93, 117 Analysis 99, 217 Bioturbation 99, 435 Antarctica 99, 705 Birds 97, 265 Anthropogenic metal 99, 255 Bivalves 99, 615 Aquaculture 99, 33 Blood 96, 203 Aquatic organisms 97, 315 Boron toxicity 94, 349 Aquifer 94, 385; 98, 17 Bottom ash 93, 93 Arnica montana 98, 229 Boundary mixing 99, 123 Arsenic 93, 243; 94, 417 Brazil 97, 247 Arylsulfatase 99, 671 Bromine 94, 417 As adsorption 93, 117 Budgest 99, 305 2 KEYWORD INDEX — VOLUMES 93-100 Buffer capacities 99, 363 Comparison 99, 179 Buffering of canopy 97, 303 Competitive sorption 93, 331 Bulk density 99, 21 Composition 99, 353 Composting 93, 167 C Concentration depth profiles 94, 289 Cadmium 93, 321, 347; 94, 361, 385 Conductivity 93, 395 Caenorhabditis elegans 99, 689 Coniferous forests 97, 303 Caesium-137 99, 210, 573 Conifers 94, 417 Calluna vulgaris 98, 229 Contaminant interactions 99, | Carbaryl 97, 431 Contaminants 99, 133 Carbon budget 94, 137 Contamination 93, 321, 347; 94, 361; 98, 17 Carbon (C) 97, 323; 99, 305, 315, 325 Contamination factor 93, 347 Carbon isotopes 99, Copper (Cu) 93, 347; 98, 213, 361; 99, 689 Carbonates 99, 381 Coprostanol 99, 237 Carotenoids 94, 247 Coral reefs 93, 199 Carp 98, 141 Crater lake 99, 593, 601 Catalonia 94, 275 '7Cs 98, 141 Catchment 94, 163; 99, 173 Cyanobacterial blooms 99, 487 Cations 93, 225 Cycling 97, 205 Cement dust pollution 94, 247 Cystoseira myrica 93, 199 Central Italy 99, 593 Cytotoxicity 94, 181 Centrifugation-filtration 99, 179 Cereal straw 93, 93 D Cesium-137 99, 9 Deciduous forests 97, 303 Channel 99, 81 Decline index 96, 321 Chemical forms 98, 167 Delta 99, 419 Chemical weathering 96, 347 5°48 94, 191 Chemisorption 93, 117 Deposition 98, 241; 99, 179 Chemosynthesis 99, 353 Deposition rates 99, 9 Chironomids 99, 601 Depth metal distribution 98, 105 Chlorinated pesticides 99, 717 Desorption 97, 397; 98, 57, 213; 99, 157, 411 Chlorophyll a 99, 497 Diagenesis 99, 541 Chlorophyll c 99, 497 Dialysis 99, 179 Chlorophyll biosynthesis 93, 109 Diatoms 99, 601 Chlorophyll content 97, 355 Diffuse solar radiation 94, 259 Chlorophylls 94, 247 Diffusion 99, 381, 411 Chloroplastic pigmets 99, 343 Diffusion-reaction model 99, 333 Chromium 93, 321 Digital particle tracking 99, 173 Chrysophytes 99, 601 Direct solar radiation 94, 259 Cirsium dissectum 98, 229 Dissolved oxygen 98, | citrus plantation 94, 349 Disturbance 99, 533 Cladocera 99, 601 Dodecylpyridinium-chloride (LPC) 98, 43 Clay 98, 213 Dredging 99, 515 Clay/Fe/P association 99, 487 Dreissena polymorpha 99, 623, 633 Climate change 94, 137 Drilling fluids 94, 181 Cloud effect 94, 259 Dry and wet deposition 93, 137 Cluster 97, 413 Dustfall 96, 61 Cluster analysis 99, 477 Dynamic transfer model 98, 141 CO) evolution 93, 409 Dystrophy 99, 363 Coagulation 98, 199 Coal 98, 241 E Coastal waters 94, 99 Ecological relationships 96, 269 Cohesive sediment 99, 89 Ecosystem models 99, 187 Colloid 99, 113 Ecosystems 97, 205; 98, 297 Compaction time 99, 173 Effluent 98, 17 KEYWORD INDEX — VOLUMES 93-100 Egg size 93, 255 Foliar uptake 94, 417 Electrophoretic mobility 99, 55 Forest management 94, 137 Elemental composition 99, 507 Formaldehyde 97, 315 Elemental ratio 99, 523 Formulations 97, 431 Elements 93, 285 Fractionation 99, 210, 283, 315, 457 Emission 98, 241 Fractionation extractions 93, 285 Enrichment factor 93, 347 Freshwater floc 99, 45 Entomopathogenic nematodes 93, 157, 213 Freshwater sediments 99, 201 Environment 96, 203; 98, 187 Freundlich isotherm 96, 301 Environmental investigation 94, 191 Fungicide 97, 431 Environmental samples 97, 431 Epiphyte slime 99, 533 G Epiphytes 94, 71 GAC 97, 367 Erosion 99, 105 Gamasida 97, 287 Estuaries 99, 141, 275, 297, 325, 477 Gamasida 94, 71 Europe 93, 27 Gas exchange 97, 355 Eutrophication 93, 199 Genotoxicity 94, 181 Extractable 97, 413 Geoaccumulation index 93, 347 Geochemical phases 99, 255 F Geochemistry 94, 1; 97, 413; 99, 641 Factor analysis 94, 85 Gills 99, 187 Factor analysis 97, 413 Global solar radition 94, 259 Fallout radionuclides 99, 9 Global sources 97, 205 Feathers 97, 265 GLUE 98, 297 Fecal waste 99, 641 Gold and silver mining 97, 209 Ferrihydrite 97, 397 Gold mining 97, 205, 247 Fertilization 93, 1 Gradation 99, 173 Fertilizer 93, 93; 98, 389 Grain size 99, 33, 210 Fibrils 99, 45 Grain size composition 99, 71 Filtration 99, 113 Granular substrate 99, 157 Fine-grained bed sediment 99, 63 Gravel bed 99, 157 Fine sediments 99, 55, 507 Green Bay 99, 225 Fingerprint 99, 149 Groundwater 96, 61, 185; 98, 17 Fingerprinting technique 99, 465 Groundwater aquifers 98, 167 Finite sorption rates 99, 225 Growth 97, 355 First-stage 98, 1 Gulf of Finland 99, 477 Fish 94, 163; 96, 203 Fish farms 99, 641 H Fixation 99, 201 Halophilous 99, 681 Fixed-beg study 97, 367 Haplic Podzol 93, | Flocculation 99, 33, 45, 89 Harbour 94, 99 Flocs 99, 55 Heathland 98, 229 Floodplain deposits 99, 71 Heavy metals 93, 93, 243, 303, 361, 395, 409; Floodplains 99, 9 94, 71, 85, 361; 96, 1, 39, 61, 145, 185; Flow 99, 487 97, 287; 99, 255, 615, 651 Fluidized bed 96, 291 Heavy metal toxicity 94, 349 Flume 99, 113 Heterorhabditis bacteriophora 93, 157, 213 Fluorescent racers 99, 123 Hg 97, 265 Fluorine toxicity 94, 349 Himalayan lakes 99, 717 Flux 99, 133 Historical indicators 99, | Fly-ash particles 94, 59 Holocene 99, 601 Fog chemistry 93, 383 Humic fulvic 99, 217, 457 Fog collector 93, 383 Humic lakes 99, 173, 283 Fog deposition 93, 383 Humic substances 98, 43 Fog LWC 93, 383 Humus 98, 361 4 KEY WORD INDEX — VOLUMES 93-100 Hydrochemical facies 96, 185 Lead arsenate 94, 373 Hydrochemistry 94, 1; 96, 185 Lead chemistry 98, 167 Hydrological fluxes 97, 303 Lidar 93, 59 Hydrophobic organic chemicals 99, 225 Lime 94, 209 Hydroxysulfates formation 96, 347 Liming 94, 163 Hylocomium splendens 98, 361 Litter clearance and accumulation 98, 119 Hyporheic 99, 113 Loading effect 93, 409 Low contamination risk 94, 289 I Lysimeter experiment 96, 301 ICP-MS 99, 149 Immobilisation 94, 297 M Indicator 96, 175 Macrofauna 99, 641 Industrial emissions 94, 191 Macrophyte 99, 265 Industrial pollution 98, 187 Magnetic measurements 98, 187 Industrial wastewater 97, 315 Magnetic properties 99, 210 industry 97, 247 Management 97, 323 Inorganic particles 99, 45 Mancozeb 97, 431 Insecticide 97, 431 Manganese (Mn) 99, 373, 557 intercomparison 93, 67 Marine 97, 257; 99, 541 Internal P-mobilization 99, 173 Marine sediments 99, 435 Interstitial water 99, 427, 445 Mass balances 99, 173 lodine 94, 417 Massachusetts 96, 211 Ion antagonism 93, 213 Median size 99, 55 Ion synergism 93, 213 Mediterranean sound 99, 343 Ion toxicity 93, 213 Mercury (Hg) 93, 59; 94, 109; 96, 301; 97, Ionic composition 99, 201 257; 98, 241, 275; 99, 217 Iron (Fe) 99, 283, 363, 373 Mercury accumulation 98, 275 Iron monosulphide 99, 363 Mercury deposition 98, 275 Isoetid 99, 265 Mercury emissions 97, 209, 247 Isotherm 97, 367 Meta-statistics 96, 211 Isotopic composition 99, 325 Metabolism 99, 641 Italy 99, 601 Metahnogenesis 99, 333 Metal equivalent 93, 409 J Metal fractination 98, 105 Jarosite soils 96, 39 Metal ion toxicity 93, 157 Metal mobility 93, 367 K Metal-organic complexes 94, 45 Kaolinite 99, 113 Metal sorption 93, 331 Metallic zinc 93, 167 Keratinolytic fungi 94, 275; 96, 269 Korea 98, 255 Metals 93, 367; 94, 45; 96, 249; 97, 413; 98, 187 Methyl-Hg 97, 205 z Methylation 94, 109 Laboratory measurements 99, 173 Methylmercury 97, 273 LABs 99, 237 Methylmercury 94, 109 Lake Como 99, 633 Michigan 94, 373 Lake Kinneret 99, 123, 401, 497 Microbial activity 99, 401 Lake Pleistocene 99, 601 Microbial mats 99, 681 Lakes 94, 1, 163; 98, 187; 99, 315, 427, 523 Microcosm 99, 661 Lakewater quality 94, 225 Mine 93, 59 Laminated sediments 99, 587 Mine spoil 96, 347 Landfill 94, 385 Mineral weathering 98, 79 Landfill leachate 94, 209 Mineralization 94, 45 Leachate 94, 385 Mitigation options 94, 137 Lead 93, 243; 94, 33, 373; 96, 145; 98, 255 Mixing 99, 149 Lead-210 99, 573 KEYWORD INDEX — VOLUMES 93-100 Mixing behaviour 94, 401 Organic material 99, 283 Mobility 93, 243 Organic matter 99, 477, 689 Mobilization 94, 361 Organic micropollutants 99, 651 Mobilized sediment 99, 63 Organics peatlands 96, 17 Model 94, 163 Organism interactions 99, | Model assessment 98, 79 Organo-metal complexes 93, 331 Modelling 97, 397; 99, 435 Organochlorine pesticide 99, 245 Monitoring 94, 59, 225 Oribatida 94, 71; 97, 287 Moss 93, 321 Ostracods 99, 593, 601 Multiple regression analysis 99, 615 Overbank deposition 99, 9 Multivariate analysis 99, 615 Overbank sedimentation 99, 71 Municipal solid waste 93, 167; 98, 241 Oxygen 99, 533 Ozone 97, 355 N Na-dodecylbenzene-sulfonate (LAS) 98, 43 P Near-shore sediments 99, 615 Pachuca mines 96, 185 Needles 94, 417 PAH 97, 379; 99, 237 N fixation 99, 173 Paleolimnology 99, 593 Nematode infectivity 93, 157 Particle 99, 133, 149 Nereis diversicolor 94, 109 Particle flux 99, 705 Nickel 93, 347; 94, 33; 98, 361 Particle size distribution 99, 689 Nickel smelter 98, 361 Particle size selectivity 99, 63 Nile delta lakes 97, 413 Particulate phase 99, 573 Nitrate 93, 27, 225; 99, 373, 411 Particulate phosphorus 99, 465 Nitrate leaching 93, | Pb depositioii io foliage 93, 137 Nitrate reductase 93, 225 Pb/Fe ratio 98, 255 Nitrate treatment 99, 445 PCB 97, 379; 99, 237, 245, 717 Nitrification 93, 1 PCDD/PCDFs 99, 237 Nitrification and denitrification 94, 125 Peatlands 96, 155 Nitrogen (N) 93, 199; 96, 329; 98, 389; 99, Performance 98, 1 305, 315, 325, 477, 705 Pesticide 97, 379 Nitrogen deposition 93, | P flux 99, 705 Nitrogen pollution 93, 225 pH 93, 1, 395; 99, 55 Nitrogen removal 94, 125 Phenol 97, 315 Normalisation 99, 210 Phosphate 97, 397; 99, 411 North Dakota 98, 275 Phosphate rock 98, 57 Norway spruce 94, 247, 417 Phosphorus (P) 93, 199, 243; 99, 283, 305, Numerical analyses 99, 593 401, 457, 477, 633 Numerical model 99, 105, 225 Phosphorus cycling 99, 305 Nutrient cycles 99, | Phosphorus fractination 99, 391 Nutrients 99, 305, 411, 487, 515, 523 Phosphorus release 99, 391, 427 Photochemistry 98, 43 O Photolytic degradation 98, 43 Oil and gas industry 94, 181 Phytoplankton 94, 125 Oil ash 93, 285 Pigments 99, 691 Oil refinery 96, 61 Pine bark 93, 395 Oligochaete 99, 661 Plant nutrients 93, 93 Oligotrophic lake 99, 265 Pleurozium schreberi 98, 361 Ombrotrophic peats 94, 59 Po Valley 93, 383 Orchards 94, 373 POC 99, 353, 557 Organic 99, 705 Pollen flux 99, 587 Organic acids 93, 225; 94, 45 Pollution 93, 199; 94, 85, 99; 96, 1; 97, 379; Organic C 99, 705 98, 389; 99, 255, 507 Organic carbon content 99, 245 Pollution control 98, 57 Organic leading 94, 99 Polychaete 94, 109 6 KEYWORD INDEX — VOLUMES 93-100 Pore-water chemistry 94, 289 Rivers 99, 157 Pore waters 96, 155; 99, 179, 541, 435 RNA 93, 109 Pores 99, 45 Ross Sea 99, 705 Precipitation events 96, 93 Rotating Biological Contactor (RBC) 98, 1 Precipitation pH and conductivity 98, 325 Rotating flume 99, 89 Precipitation scavenging 96, 73, 93 Runoff 98, 389 Predictive models 99, 615 Ru 98, 141 Pretreatment 94, 209 Ruppia cirrhosa 99, 533 Primary production 99, 681 Principal components analysis 97, 379 S Probability of cohesion 99, 55 Sacramento River 99, 149 PROFILE 98, 79, 297 Saline lakes 98, 275 Protein 93, 109 Salinity 99, 681 Proxy environmental monitoring 96, 321 Salt 94, 33! Pumping 99, 113 Sampling 99, 179 San Joaquin River 99, 149 Q Sandy soils 94, 1 Quality control 99, 1 Scavenging rates 99, 705 Quebec 94, 225 Scheldt estuary 94, 109 Scots pine forests 94, 71; 97, 287 R Seasonal variations 99, 427 Radiocaesium 99, 201 Sediment 93, 347; 94, 109; 96, 249; 97, 323; Rainfall chemistry 97, 303 98, 187; 99, 255, 275, 315, 325, 401, Rainwater 97, 257 411, 427, 671, 681 Rape straw 93, 93 Sediment budget 99, 105 Ratcliffe index 93, 255 Sediment cores 98, 275 Reaction mechanism 98, 43 Sediment erosion 99, 21 Recent sediment 99, 333 Sediment organic matter 99, 343 Recovery 99, 633 Sediment processes 99, 445 Red mud leachability 94, 297 Sediment resuspension 99, 123 Red pine 97, 355 Sediment transport 99, 141, 173, 507 Red Sea 93, 199 Sediment traps 99, 123, 133, 523 Redeposition 99, 139 Sedimentation rates 99, 573 Redox 94, 385; 99, 401 Seiches 99, 123 Redox potential 99, 265, 275 Selective leach 99, 217 Release 99, 457 Selenium 97, 323; 99, 275 Release processes 99, 255 Sellafield 99, 210 Remediation technology 98, 57 Sequential extraction 93, 167; 99, 275 Remobilization 99, 515 Sequential squeezing 94, 289 Remote areas 99, | Settling 99, 45 Removal rate 98, | Settling characteristics 98, 199 Reoxidation 99, 515 Sewage sludge 93, 331; 94, 33 Resedimentation 99, 587 Shallow lakes 99, 681 Reservoir of heated water 93, 347 Shear 99, 55 Residual metal 99, 255 Side-scan sonar 99, 623 Restoration method 99, 445 Silicon (Si) 99, 305, 705 Resuspension 93, 137; 99, 13 Simulation 99, 401 587 Simulation model 96, 301 Rhizobia 96, 233 Size 99, 45, 81 Risk assessment 97, 273 Smelters 94, 85 River and marine beach sediments 94, 275 Snow chemistry 93, 67 River floodplains 99, 71 Snow sampling 93, 67 River reservoir 99, 105 SO, 94, 191 River sediments 94, 401; 96, 269; 99, 651 Soil 94, 33,85, 163, 361, 373; 96, 61; 98, 79 Riverine litter 98, 119 Soil acidification 97, 355; 98, 229 KEY WORD INDEX VOLUMES 93-100 Soil and groundwater contamination 98, 57 T Soil Cd 98, 105 Tagus 99, 507 Soil Cu 98, 105 Tannery wastes 98, 199 Soil Pb 98, 105 TEM 97, 397 Soil Zn 98, 105 Temperature 99, 201 Solid particles 96, 329 Temporal variations 99, 651 Solid phases of lead 98, 167 Terrestrial moss 98, 361 Solid waste 94, 297 T. ferrooxidans 96, 249 Solubility isotherms 98, 167 “Th 99, 705 Sorption 98, 57 Thermal conductivity 98, 345 Sorption isotherms 93, 331 Thermal diffusivity 98, 345 Sources 99, 353 Thiobacilli 96, 249 Southwestern Chinese plateau 99, 381 Throughfall 97, 303 Spain 94, 275 Tile drains 99, 89 Spatial distribution 99, 497 Time of travel 98, 119 Spatial variability 99, 71 Tital pumping 99, 141 Speciation 93, 285 TLCP 98, 57 Sphagnum 96, 17 TNR 93, 303 Spot test 97, 431 Topography 99, 81 Spring-neap cycle 99, 141 Total 97, 413 Spruce 96, 329 Toxic 97, 379 Stable isotopes 98, 389; 99, 315 Toxic metals 98, 57 Staged combustion 96, 291 Toxicity 97, 315; 99, 187, 245 Steinernema carpocapsae 93, 213 Toxicity mechanisms 99, 187 Stokes drift 99, 141 Toxicity metals/metalloids 99, 187, 297 Stratification 99, 487 Trace metals 93, 137; 94, 1; 99, 33 Straw ash 93, 93 Tracers 99, 133, 149 Straw combustion 93, 93 Transformation 97, 397 Stream 96, 211; 99, 173 Transparency coefficient 94, 259 Stream sediments 93, 303 Transport 99, 225, 557 Streams 94, | Tree bark 98, 381 Sub-event sampling 96, 73, 93 Trends 93, 27; 96, 211 Sub-event chemistry 96, 73, 93 Trihalomethanes 97, 367 Submarine caves 99, 353 Trophic relationships 99, 343 Sugarcane 98, 389 Trophic state 99, 523 99, 633 Sulfides oxidation 96, 347 Tuna 97, 273 Sulphate 93, 27; 99, 373 Turbulence 99, 411 Sulphate adsorption 93, | Turnover 99, 113 Sulphate reduction 99, 391 Sulphur 93, 395; 96, 329; 98, 361 U Sulphur bacteria 99, 515 United States 93, 27 Sulphur dioxide emissions 96, 291 Unsupported lead-210 99, 9 Sulphur speciation 99, 391 Urban/nonurban 98, 255 Supplemental Aeration 98, | Suquia River 93, 303 Vv Surface sediments 99, 497 Validation in situ 98, 141 Surface water 94, | VAM 96, 233 Surfactants 98, 43 Vegetables 96, 61 Velocimetry 99, 173 Suspended matter 99, 297, 325, 343 Venice Lagoon 99, 237 Suspended particulate matter 99, 105 Suspended sediment 99, 157, 465, 557 Ww Suspended sediment delivery 99, 63 Waste management 98, 57 Suspended solids 98, 199 Waste rock 98, 345 Sweden 96, 39 Waste stabilization pond 94, 125 8 KEY WORD INDEX —-V OLUMES 93-100 Wastewater 97, 397 Wheat 94, 33 Wastewater treatment 99, 661 Wastewaters irrigation 98, 105 Z Water 93, 347; 97, 431; 99, 1 Zea may 93, 109 Water chemistry 94, 163 Zebra mussel 99, 623, 633 Water dynamics 99, 1 Zinc 93, 321; 99, 217 Water-mineral interactions 94, 289 Zinc smelter 96, | Water treatment 96, 175 Zinc sulfide 93, 167 Western Lake Eric 99, 623