Works matching DE "POLLUTION source apportionment"
Results: 381
Casualties as a moral measure of climate change.
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- Climatic Change, 2015, v. 130, n. 3, p. 347, doi. 10.1007/s10584-014-1131-2
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Petroleum hydrocarbon runoff in rivers flowing from oil-and-gas-producing regions in Northwestern Siberia.
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- Water Resources, 2014, v. 41, n. 5, p. 532, doi. 10.1134/S0097807814050030
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Mathematical Model for Pollution Source Identification in Rivers.
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- Environmental Forensics, 2015, v. 16, n. 4, p. 310, doi. 10.1080/15275922.2015.1059391
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Source Type Evaluation of Polycyclic Aromatic Hydrocarbons (PAHs) in Surface Sediments from the Muar River and Pulau Merambong, Peninsular Malaysia.
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- Environmental Forensics, 2015, v. 16, n. 2, p. 135, doi. 10.1080/15275922.2015.1022839
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Breakthrough Curves Characterization and Identification of an Unknown Pollution Source in Groundwater System Using an Artificial Neural Network (ANN).
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- Environmental Forensics, 2014, v. 15, n. 2, p. 175, doi. 10.1080/15275922.2014.890142
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Source Apportionment of Water Pollution in the Jinjiang River (China) Using Factor Analysis With Nonnegative Constraints and Support Vector Machines.
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- Environmental Forensics, 2012, v. 13, n. 2, p. 175, doi. 10.1080/15275922.2012.676597
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Heavy Metal Pollution in Sediments in Zhengzhou Section of the Yellow River: Assessment and Source Apportionment.
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- Environmental Science & Technology (10036504), 2024, v. 47, n. 6, p. 44, doi. 10.19672/j.cnki.1003-6504.0237.24.338
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Sources Apportionment of Roadside Soil Pollution of Heavy Metal Zinc.
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- Environmental Science & Technology (10036504), 2024, v. 47, n. 6, p. 36, doi. 10.19672/j.cnki.1003-6504.0066.24.338
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Characteristics of Photochemical Loss and VOCs Source Apportionment of Urban Area of Xiangtan City in Summer.
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- Environmental Science & Technology (10036504), 2024, v. 47, n. 3, p. 101, doi. 10.19672/j.cnki.1003-6504.2479.23.338
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Analysis of Atmospheric Fine Particulate Matter Sources in Wuhan:a Review.
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- Environmental Science & Technology (10036504), 2023, v. 46, n. 6, p. 197, doi. 10.19672/j.cnki.1003-6504.1867.22.338
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Characterization and source apportionment of heavy metal pollution in soil around red mud disposal sites using absolute principal component scores-multiple linear regression and positive matrix factorization models.
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- Environmental Geochemistry & Health, 2024, v. 46, n. 12, p. 1, doi. 10.1007/s10653-024-02267-x
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Assessment of health risks based on different populations and sources of heavy metals on agricultural lane in Tengzhou City by APCS-MLR models.
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- Environmental Geochemistry & Health, 2024, v. 46, n. 11, p. 1, doi. 10.1007/s10653-024-02227-5
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Identification and apportionment of groundwater nitrate sources in Chakari Plain (Afghanistan).
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- Environmental Geochemistry & Health, 2023, v. 45, n. 11, p. 7813, doi. 10.1007/s10653-023-01684-8
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Water quality assessment and pollution source apportionment using multivariate statistical and PMF receptor modeling techniques in a sub-watershed of the upper Yangtze River, Southwest China.
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- Environmental Geochemistry & Health, 2023, v. 45, n. 9, p. 6869, doi. 10.1007/s10653-023-01477-z
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Hydrochemical investigation of groundwater in a trans-Himalayan region of Ladakh, India, using geochemical modelling and entropy technique.
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- Environmental Geochemistry & Health, 2023, v. 45, n. 8, p. 6567, doi. 10.1007/s10653-023-01650-4
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Assessment of water quality, trace metal pollution, source apportionment and health risks in the groundwater of Chakwal, Pakistan.
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- Environmental Geochemistry & Health, 2023, v. 45, n. 7, p. 4327, doi. 10.1007/s10653-023-01501-2
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Characteristics and source apportionment of water-soluble inorganic ions in atmospheric particles in Lvliang, China.
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- Environmental Geochemistry & Health, 2023, v. 45, n. 7, p. 4203, doi. 10.1007/s10653-023-01484-0
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Comparison of pollution status and source apportionment for PCBs and OCPs of indoor dust from an industrial city.
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- Environmental Geochemistry & Health, 2023, v. 45, n. 5, p. 2473, doi. 10.1007/s10653-022-01360-3
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Multivariate receptor modeling with widely dispersed Lichens as bioindicators of air quality.
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- Environmetrics, 2023, v. 34, n. 3, p. 1, doi. 10.1002/env.2785
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Identification of Pollution Sources in the Urban Atmosphere.
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- Inzynieria Mineralna, 2017, n. 1, p. 147
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Characterization and Source Apportionment Analysis of PM 2.5 and Ozone Pollution over Fenwei Plain, China: Insights from PM 2.5 Component and VOC Observations.
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- Toxics, 2025, v. 13, n. 2, p. 123, doi. 10.3390/toxics13020123
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A Modified Model for Quantitative Heavy Metal Source Apportionment and Pollution Pathway Identification.
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- Toxics, 2024, v. 12, n. 6, p. 382, doi. 10.3390/toxics12060382
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Treat Phoenix River Water by Constructed Rapid Infiltration System.
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- Journal of Coastal Research, 2015, v. 73, p. 386, doi. 10.2112/SI73-068.1
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Temporal evolution and source apportionment of BC aerosols during autumn in the grassland of Ordos, China.
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- Meteorological Applications, 2024, v. 31, n. 1, p. 1, doi. 10.1002/met.2172
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A process‐based water stable isotope mixing model for plant water sourcing.
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- Ecohydrology, 2024, v. 17, n. 1, p. 1, doi. 10.1002/eco.2611
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The Seismic Signatures of Recently Formed Impact Craters on Mars.
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- Journal of Geophysical Research. Planets, 2019, v. 124, n. 11, p. 3063, doi. 10.1029/2019JE006044
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Spatiotemporal variation analysis of Tigris River water quality in Mosul, Iraq during 2020–2023 based on environmetric techniques.
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- Environmental Earth Sciences, 2025, v. 84, n. 2, p. 1, doi. 10.1007/s12665-024-12086-z
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Characteristics of water-soluble inorganic ions and carbonaceous compounds in PM<sub>2.5</sub> in the urban area of Hanoi, Vietnam.
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- Environmental Earth Sciences, 2025, v. 84, n. 2, p. 1, doi. 10.1007/s12665-024-12077-0
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Quantitative source apportionment and pollution characteristics of heavy metals in agricultural soils surrounding a legacy Pb-Zn mine.
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- Environmental Earth Sciences, 2024, v. 83, n. 21, p. 1, doi. 10.1007/s12665-024-11901-x
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Pollution assessment and source apportionment of metals in paddy field of Salem, South India.
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- Environmental Earth Sciences, 2022, v. 81, n. 6, p. 1, doi. 10.1007/s12665-022-10304-0
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Source apportionment of urban road dust using four multivariate receptor models.
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- Environmental Earth Sciences, 2021, v. 80, n. 19, p. 1, doi. 10.1007/s12665-021-09960-5
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Mobility and source apportionment of As and heavy metals in the Taehwa River sediment, South Korea: anthropogenic and seasonal effects.
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- Environmental Earth Sciences, 2021, v. 80, n. 3, p. 1, doi. 10.1007/s12665-021-09371-6
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Hydrochemical characteristics and pollution source apportionment of the groundwater in the east foothill of the Taihang Mountains, Hebei Province.
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- Environmental Earth Sciences, 2021, v. 80, n. 1, p. 1, doi. 10.1007/s12665-020-09341-4
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Geochemical mapping in a subtropical estuarine system influenced by large grain-shipping terminals: Insights using Metal/Metal ratios and multivariate analysis.
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- Environmental Earth Sciences, 2020, v. 79, n. 19, p. N.PAG, doi. 10.1007/s12665-020-09211-z
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MOBILE MEASUREMENTS OF BLACK CARBON FOR SOURCE APPORTIONMENT STUDIES.
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- Annals of DAAAM & Proceedings, 2020, v. 31, p. 227, doi. 10.2507/31st.daaam.proceedings.031
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Heavy Metals Distribution, Magnetic Properties, Source Apportionment, and Potential Risks in Urban Street Dust of Northwest China.
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- Water, Air & Soil Pollution, 2023, v. 234, n. 2, p. 1, doi. 10.1007/s11270-023-06132-y
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Influence of Highway Pavement on Metals in Road Dust: a Case Study in Houston, Texas.
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- Water, Air & Soil Pollution, 2021, v. 232, n. 5, p. 1, doi. 10.1007/s11270-021-05139-7
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Unexpected Heavy Metal Pollution in Wetland Soils Along the Yarlung Tsangbo River in Tibet, China: Assessment and Source Apportionment.
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- Water, Air & Soil Pollution, 2020, v. 231, n. 9, p. N.PAG, doi. 10.1007/s11270-020-04851-0
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Temporal Changes in Mountain Slope Gradients in the Concentrations of Pollutants and Pb Isotope Ratios Near the Ostrava Conurbation (Upper Silesia, Czech-Polish Border).
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- Water, Air & Soil Pollution, 2020, v. 231, n. 5, p. 1, doi. 10.1007/s11270-020-04615-w
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Polycyclic Aromatic Hydrocarbon Deposition in the Snowpack of the Athabasca Oil Sands Region of Alberta, Canada.
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- Water, Air & Soil Pollution, 2014, v. 225, n. 5, p. 1, doi. 10.1007/s11270-014-1910-4
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Two distinct ship emission profiles for organic-sulfate source apportionment of PM in sulfur emission control areas.
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- Atmospheric Chemistry & Physics Discussions, 2024, p. 1, doi. 10.5194/egusphere-2024-1262
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Biomass burning sources control ambient particulate matter but traffic and industrial sources control VOCs and secondary pollutant formation during extreme pollution events in Delhi.
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- Atmospheric Chemistry & Physics Discussions, 2024, p. 1, doi. 10.5194/egusphere-2024-501
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Spatiotemporal Source Apportionment of Ozone Pollution over the Greater Bay Area.
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- Atmospheric Chemistry & Physics Discussions, 2024, p. 1, doi. 10.5194/egusphere-2023-3140
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Deciphering anthropogenic and biogenic contributions to selected NMVOC emissions in an urban area.
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- Atmospheric Chemistry & Physics Discussions, 2024, p. 1, doi. 10.5194/egusphere-2024-79
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International airport emissions and their impact on local air quality: Chemical speciation of ambient aerosols at Madrid-Barajas Airport during AVIATOR Campaign.
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- Atmospheric Chemistry & Physics Discussions, 2023, p. 1, doi. 10.5194/egusphere-2023-2197
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Chemically Speciated Air Pollutant Emissions from Open Burning of Household Solid Waste from South Africa.
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- Atmospheric Chemistry & Physics Discussions, 2023, p. 1, doi. 10.5194/egusphere-2023-2089
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Oxidative potential apportionment of atmospheric PM<sub>1</sub>: A new approach combining high-sensitive online analysers for chemical composition and offline OP measurement technique.
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- Atmospheric Chemistry & Physics Discussions, 2023, p. 1, doi. 10.5194/egusphere-2023-1441
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Tracing microplastic sources in urban water bodies combining their diversity, fragmentation and stability.
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- NPJ Clean Water, 2024, v. 7, n. 1, p. 1, doi. 10.1038/s41545-024-00329-2
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Enhancing watershed management through adaptive source apportionment under a changing environment.
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- NPJ Clean Water, 2024, v. 7, n. 1, p. 1, doi. 10.1038/s41545-024-00325-6
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Structural Uncertainty and Pollution Control: Optimal Stringency with Unknown Pollution Sources.
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- Environmental & Resource Economics, 2018, v. 71, n. 2, p. 337, doi. 10.1007/s10640-017-0156-1
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