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Water, Air and Soil Pollution 2000: Vol 117-124 Index PDF

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Preview Water, Air and Soil Pollution 2000: Vol 117-124 Index

WATER, AIR AND SOIL POLLUTION Cumulative Key Word & Author Index Volumes 117—124 (2000) KEY WORD INDEX VOLI MES 117 mine drainage iccumulated exceedan iccumulatio12n2 , brown earth 117, 217 Dulfering rei deposition 387; 120, 205, 2 generation 122, 369 -phosphorus relationship 117, precipitation 118, 203 rain 117, 15, 191; 118, 201 121, 31 rock drainage 124, 259 i sed acidic deposit12i0,o n35 9 hD acteterri} a 1177 392 0 acidification 118, 231: 119, 59, 317; 120, 47, 89 analysis O river sedin 121, 59, 79 ANOVA 122. 369 model 119, 23 Inox] acetic acid extraction 118, 73 inthropogenic acidity 119, 335, 363; 120, 1, 397 contamination 124, 49 activated carbon 120, 261 ferrimagnetics 124, 37 adsorber configuration 117, 83 VOC 124. 61 adsorption 119, 105, 257; 120, 283; 122, 415; AOT4O 117, 263: 119, 363 123, 147 isotherms 120, 229 extraction 122, 299 aeration 118, 13; 124, 177 digestion 118, 87 aerial deposition 122, 389 aerobic treatment 124, 177 acidification model 117 $1 aerosols 123, 215 habitat 122, 139 afforestation 120, 47 arginine 120, 249 agricultural aromatics 120, 10 education 123, 525 arsenic 119, 105; 122, 317; 123, 81; 124, 319 literacy 123, 525 Artificial Neural Network 119, 275 air 118, 101, 377 ASAM 121, 229 emissions 124, 177 ascorbic acid 118. 311 pollution 117, 289; 118, 1, 2: Ls BES; 295, 317 Atlantic salmon 118, 203 335, 363, 387; 121, 59, 79 atmosphere 118, 179 pollution deposition 121, 349 deposition 119, 295 quality 117, 289; 123, 203 atmospheric quality standards 123, 195 acid deposition 117, 371 stripping 117, 61 aerosols 117. 175 airborne flux 122, 327 deposition 118, 1; 119, 335; 121, 79, 93 aldicarb 119, 139 emission inventories 124, 61 KEY WORD INDEX VOLUMES 117-124 particulate matter 121, 109 Bosphorus 118, 27 pollution 117, 105; 120, 347; 121, 189 brain AchE 121, 205 ATP 117, | Brazil 121, 59, 79 atrazine 118, 169, 329 Brazilian coast 118, 65 Australian specialist environmental courts 123 bricks 119, 19] 395 brine spill 124, 371 bromine 123, 229 B BTX 120, 315 Bacillus polymyxa 119, 11 BTEX 119, 257 batch sorption 124, 141 buffer strips 122, 121 Bacillus 124, »2F 2eP 2e e bulk bacteria 123, 183 accumulation 122, 327 bacterial infection 123, 337 deposition 122, 433 Baiyin urban area 118, 131 deposition fluxes 122, 26] base C cations 119, 335 4 13 saturation 120, 139 ‘Cs 118, 339 basalt 120, 21 4c uptake 117, | beans 117, 263 Ca 118, 101; 120, | bed-sediment 117, 329 cadmium 117, 1, 245; 119, 1; 120, 347; 124, 155 below-cloud processes 122, 261 cage assays 121, 205 bioaccumulation 118, 179; 121, | capillary zone electrophoris 117, 105 bioassays 121, 173 carbon bioavailability 122, 163 balance 119, 157 biodegradation123, 133 taxes 124, 245 kinetics 120, 315 carp 121, 205 biodiversity 123, 299 cascade-connected systems 124, 285 biogenic NMVOC 124, 61 catchment absin management 123, 437 bioindicators 117, 105; 123, 103 catchments 120, 47 biofilm 123, 25 Carthamus 118, 311 reactors 123, 147 catastrophe indicator 117, 39117, 39 biofilter 119, 177 cation-exchange 119, 23; 120, 89 biofiltration 118, 377; 123, 133 Ce 118, 143 Biolog 124, 333 cell culture 123, 53 biological cemeteries 117, 313 denitrification 123, 183 centrifuging 119, 23 nutrient removal 123, 117 characterization 120, 381 reactors 124, 285 chemical stability 123, 25 properties 118, 281 biomarkers 121, 205 time bombs 117, 39, biomonitoring 118, 65; 123, 81 weathering 119, 59 bioremediation 119, 75; 120, 315; 121, ee, ChemScan 123, 43 biosensors 123, 81 China 118, 35 biosolids 117, 123 chloramine 123, 95 biosorption 119, 1] Chlorella 124, 187 bioturbation 124, 113 chlorinated solvent 117, blast furnace slag 120, 21 chloride 120, 397; 124, : bleaching 123, 337 loss 122, 433 borate minerals 124, 49 chlorine 123, 229 boreal forest 122, 449 concentration 119, 275 boron isotopes 124, 49 dioxide 123, 95 KEY WORD INDEX Vv chromium 119, 105 CUITIC ulum 123 505. 525 daa citrate 120, 249 ius carpio 121, 205 clays 118, 245 clay soils 120, 139 clear-cutting 122, 449 data contamination 121, 43 climate 124, 345 decay tests 119 19] change 123, 259 deciduous woodland 121, 379 cluster analysis 121, 11, 367 cision model 118, 35 CO 124, 61 composition 118, 13 CO> 119, 157 -ep-bed filtration 123, 167 emissions 124, 245 ep oxidation 120, 261 coagulation 123, 159 ‘foliation 119, 317, 387 coal-fired power-station 120, eforestation 118, 263 coal fly ash 124, 333 gradatio1n18 , 53 coastal waters and sediments 119, 247 Cili?? cobalt chromium 120, 347 fluid 118, 53 cockerel 117, 245 salt 122, 405 cold lendrochemistry 118, | hardiness reduction 117 denitrification 120, 89; 124, 95 stress 117, 19] leposition 122 3: 124, 345 coliforms 123, 43 model 119, 335 Comet assay 123, 67 design for the environment 123, 505 comparison 120, 107 desorption 122, 415; 123, 147 with England and France dichloromethane 123, 133 complex systems modelling diffusion rate 120, 195 composition 120, 107 dimethylmercury 121, 189 composting 124, 333 dimethyl] sulfide 119, 177 conservation 123, 299 discontuinities 117, 39 contact time optimisation 124, 141 disinfection by-products 123, 95 contaminant sources 124, 49 dispersion 124, 285 contamisnoial t12e2, d35 1 distillation 122, 317 contamination 121, 367 distribution 118, 299 control strategies 123, 195 DNA unwinding assay 123, 67 copper 119, 11, 105; 120, 347; 124, 15 DOC 118, 407 coral 123, 337 concentration 122, |: reef 123, 581 drinking water 120, 273 correlation analysis 121, 11 springs 121, 367 correlative study 119, 387 drought 119, 317, 335 course development 123, 505 dry deposition 120, 71; 121, 43 C. parvum 123, 35 dust 118, 245 critical dustfall-flux 118, 245 level 124, 429 dye 120, 229 load 118, 35, 231; EIS. Sif, removal 120, 283 229; 124, 429 crude oils 120, 107 E Cryptosporidium contamination 123, 419 easily assimilable organic carbon (AOC) 123, 25 Cryptosporidium parvum 123, 53, 159 Ebro river 118, 339 Cs-137 122, 389 E. coli 123, 35, 43 Ctenopharyngodon idella 119, | ecological Cubatao 121, 59, 70 engineering 123, 117 cultivated gray calcareous soils 118, 131 factors 118, 231 4 KEY WORD INDEX VOLUMES 11 economic instruments complementary to com- eutrophication 117, 27, 371; 119, 91 mand and control regimes 123, 379 Everglades 121, 133 ecosystem health 123, 103 exceedance 124, 429 ecosystems 123, 299 exhaust gas 121, 32 ecotoxicology 119, 45 expert support 118, 35 edge effect 122, 389 exposure 123, 273 edible marine species 124, 169 external load 119, 9] EDTA 122, 351 extra-intracellular 120, education 123, 467 extraction 121, 309 effluents 123, 11 extreme low tem] element budget 120, 217; 121, 79 F fluxes 120, 89: 121, 79 F. antipyretica 120 elevation gradient 120, 295 factor analysis 121, 11 emission factor and cluster analyses abatement 121, 229 factors affecting biore factors 124, 61 Fagus sylvatica 119 industry residential and ternary sectors fecal coliform bacteria 124 124, 61 ferrous iron 124, 95 from road and air traffics 124, 61 field test 124, 95 energy mix 124, 245 filamentous bulking 123 ‘ enrichment factor 120, 121 filter backwash water 123. 53 environment 123, 215 filtration 123, 159 environmental fine-coarse partic les 120, 71 nventions 123, 44° fine particles 123, 195 education 123, 467 firing temperature 119, 191 ‘netics 123. 81 fiscal instruments 123, 361 t 124, 371 fish 124, 221, 30] jurisprudence 123 495 flood effects 117, 329 law 123, 409, 447 floodplain 122, 449 law education 123, 447 Florida Everglades 122, 327 mycobacteria 120, 273 fluviatile 118, 28] philosophy 123, 467 flux 117, 273 policy instruments 123, 361 fly ash 119, 231, 295; 120, 39 7; 121, 349 prosecutions 123, 395 foliar phenology 117, 191 standards 123, 517 food and fiber systems literacy 123, 525 uses of hydrated lime 123, 245 forest enzymatic tests 123, 43 decline 117, 191, 205 eolian 118, 281 litter 118, 395 epistomatal wax 121, 327 soils 121, 3 EPR spectra 119, 11 vitality 119, 387 EPEXMA 123, 215 forestry 122, 121 equilibrium speciation 124, 259 education 123, 489 Escherichia coli luciferase 123, 81 free tropospheric air 117, 157 estuaries 121, 119 French Guiana 124, 221 estuarine fresh pollution 123, 245 marsh 121, 161 sediments 124, 155 water 118, 339 ethylene diura (EDU) 117, 263 freshwater systems 124, 113 European environmental law 123, 361 europium 119, 171 nulation 119, 275 elocity 120, 315 growth 117, | Guadaira River 121, 1] Gulf of Aqaba 123, 581 H ’H 118, 339 halogen species 123, 229 halogenated humic substances 120, 331 hydrocarbons 122, 415 Harz 121, 93 heavy metals 117, 305; 118, 65, 73, 87, 131, 143; irrigation 123, ° 119, 295; 120, 1, 29, 249; 121, 93 2. iron-oxxidi de-coated § otope ratios 118, topes 117, 15 herbicides 119, 139 rael 118, 245; 123, 299, 605 hexadecyltrimethylammonium 119, 257 raeli-Arab water 123, 533 historical trend of pollution 118, 131 Hong Kong 117, 175 horizon 124, | fferson salamander 119, - 6 KEY WORD INDEX VOLUMES 117-124 joint uncertainty and variability 123, 273 major and trace elements 119, 295 Johnston Plan 123, 605 management 123, 581 Jordan River 123, 605 of water resources 123, 437 manganese 118, 115; 120, 347 K mapping 118, 395 K 120, | marine 123, 215 Kalman filter 121, 43 protected area 123, 581 Kejimkujik 117, 353 mass balance 119, 91 Kinneret 118, 245 materials 123, 25 knowledge integration 123, 477 mathematical Kéycegic Lagoon System 121, | modeling 123, 167 kriging 124, 345 models 124, 285 Kuderna-Danish 122, 261 maximum contaminant level 123, | Kuwait 120, 107 Meathop Wood 121, 379 membrane stability 118, 311 L mercury 117, 133, 353; 121, 133; laboratory experiment 122, 163 221, 301 Lake Kinneret 118, 245 accumulation 124, 169 lakes 124, 301 fluxes 122, 183 lake water quality 117, 353 metal partitioning 121, || landfill leachate 120, 331; 122, 281; 124, 49 metals 121, 109; 122, 203 Langmuir equation 124, 141 meteorological stress 119, 317, 387 law 123 »2e= eY] methylation 124, 113 leachate 124, 23 methy] tert-buty! ether 123, 133 leachbed reactor 121, 189 methylene blue 120, 229 leaching 118, 73 Mexico 124, 371 of potassium and sodium 121, 31 Mg 118, 101; 120, | lead 118, 1, 179; 120, 347; 122, 351; 124, 155 microalga 117, | ions 124, 14] microalgal communities 119, 209 least cost 117, 83 microanalysis 123, 215 Lebanon 123, 605 microbiology 121, 173 leca 120, 21 microbiotests 123, 11 legal education 123, 409 microcatalytic-chromatographic technique 120, lignite 122, 421 261 limestone 124, 411 microfiltration 123, 167 liming 119, 59; 122, 3 microorganisms 119, 75 lipid peroxidation 117, 245 microwave digestion 121, 309 liquid phase granular activated carbon adsorption Middle East 123, 605 117, 83 migration 120, 195 local wet deposition 120, 397 mineralogy 118, 245 loess soils 120, 139 mine spoil 119, 59 logging 122, 121, 139 missing data 121, 43 Los Azufres 124, 371 mobile source emissions 123, 203 LRTAP 118, 203 mobility 118, 73; 121, 133 lubricating oil 120, 381 mobilization ratio 120, 121 lysimeter 119, 23 model 124, 301 lysimetry 120, 89 modeling 119, 105; 120, 139; 121, 271 molybdenum 118, 115 M monitoring 118, 203; 119, 139; 122, 281; 123, macrophytes 118, 179 159 major elements 122, 327 of forest 121, 339 KEY WORD INDEX VOLUMES 117-124 Monod kinetics 120, 315; 124, 285 remediation 121, 16] montmorillonite 119, 257 spill 120, 169 MSW 122, 281 ombrotrophic peat bogs 121, 93 multicomponent 117, 61, 83 on-site treatment 124, 205 multiple stressors 123, 103 optimization 117, 6! museums 123, 215 organic mussel 118, 65 aerosol constituents 117, 157 mutual learning 123, 477 matter 117, 305 matter decomposition 117, 123 “ ? pollutants 117, 329 snow constituents 117, 157 NADP 120, 359 organochloride 119, 139 NAPL 121, 289 pesticides 121, | national parks 124, 37 organo-clay 119, 257 natural organophosphate 119, 139 cleanup 121, 161 oxidation 118, 13 succession 122, 449 oxygen 117, 15 N deposition 119, 317, 363 ozone 117, 263; 119, 317 needle 122, 405 monitoring 117, 289 neutralization 124, 411 trends 117, 289 neutron activation analysis 1 nickel 120, 249; 120, 347 P 239 240py, 118. 339 NISOTOP model 124, 125 nitrate 118, 115; 122, 3; 123, 477; 124, PAH 117, 175; 120, 381; 121, 217, 379; 124, 125 leaching 124, 205 particle removal 123, 183; 124, 95 movement 117, 133 nitrification 119, 177; 120, 295; -size 121, 309 nitrifying bacteria 123, 117 particulate matter 119, 19] nitrite 118, 13, 101 organic matter 120, 295 nitrogen 117, 27; 119, 1 partitioning 119, 257 mineralization 117, | pasture 121, 379 pattern 124, 345 NMHC 124, 177 Pb 118, 143 NOx 124, 61 PCE 121, 289 non-linearities 117, 39 PCR 120, 273 non-seasalt sulphate 122, 433 peat 121, 133 North Africa 123, 595 pedagogy 123, 409 northern Tyrrhenian Sea 124, 169 PEEP Index 123, 11 Norway spruce 121, 327 percentage removal 120, 21 Nova Scotia 118, 203 percolation 118, 73 nucleic acids 124, 187 perlite 120, 229 nuclear test 118, 395 Perna perna 118, 65 nutrient uptake 120, 139 pesticide contamination 119, 75 petroleum hydrocarbons 119, 247 O P-export coefficient 119, 91 Oculina 123, 337 pH 118, 143; 120, 195 odor control 123, 245 phenological acceleration 117, 205 off-gas control 117, 61 philosophy 123, 467 oil phosphate 124, 23 fields 118, 281 adsorption 117, 371 pollution 124, 187 phosphorus 117, 27; 119, 91; 121, KEY WORD INDEX - VOLUMES 117-124 accumulating organisms 123, 117 rainfall 118, 73 load 121, 43 rainforest 118, 263 photosynthesis 119, 209 rainwater chemistry 120, 205 photochemical oxidant 117, 289 radioactive contamination 118, 395 phytoplankton 124, 187 radionuclide discharges 118, 339 phytoremediation 118, 53; 119, 75, 171 rapid methods 123, 35 phytotoxicity 118, 169 rare earth elements 121, 109 Picea abies 119, 387 raw water 123, 53 pine 122, 405 reallocation of water resources 123, 551 Pinus canariensis 117, 105 recalcitrat organics 123, 133 Pinus densiflora 117, 191 recirculation 124, 285 Pinus sylvestris 119, 387 reclamation 123, 167 6)2 plants 121, 217 receptor modeling 123, 203 plant recommendations arising out of inquiry 123, 419 nitrogen 124, 125 Reconquista river 121, 205 uptake 118, 115 redistribution 121, 271 plug-flow conditions 124, 285 red pine 117, 205 PMj g 123, 203 Red Sea 123, 581] PM> 5 123, 203 redox potential 118, 143 podzols 117, 217 reform 123, 353 polluted atmosphere 119, 191 refuse 122, 281 pollution 117, 15; 118, 357; 121, 339; 122, 421 regional cooperation 123, : prevention 123, 505 regression modeling 117, 35: polyaromatic hydrocarbon 121, 327 regressions 124, 301 polycyclic aromatic hydrocarbons 117, 175; 118, regrowth 123, 25 101 polymerase chain reaction 123, 53 release kinetics 118, 407 potable water 118, 101 remedial measures 124, 301 potassium ion releasing rate 117, 105 remediation 121, 289 precipitation 121, 59 removal of lead 122, 351 chemistry 120, 359 research 123, 581 preconcentration 122, 261 reservoir 119, 9] prediction 122, 281; 124, 301 water quality modeling 120, 169 prevention techniques 124, 259 resilience 123, 323 principal component analysis 117, 353; 121, 367 resource sustainability 123, 419 private sector participation 123, 353 respiratory fuction 119, | probability 123, 273 retention 118, 299 probes 123, 35 reuse 123, 167, 595 proteins 124, 187 Rio Conchos 121, 259 proton buffering 120, 89 riparian Pu-239+240 122, 389 rights 123, 605 p-value 122, 369 zone 124, 95 pyrite oxidation 122, 369 risk 123, 273 assessment 122, 203 Q riverbed sediments 121, 259; 123, 311 Quercus ilex 119, 387 river 117, 27, 273; 118, 203 Querqus petraea 119, 387 reservoirs 117, 329 Quercus robur 119, 387 restoration 123, 311 R road traffic 121, 327; 122, 405 radioceasium 121, 271 Romania 120, 347 rain-aerosol coupling 120, 71 root zone 118, 53

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