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Статті в журналах з теми "Tracing pollution":
THURSTON, G. D., and N. M. LAIRD. "Tracing Aerosol Pollution." Science 227, no. 4693 (March 22, 1985): 1406–7. http://dx.doi.org/10.1126/science.227.4693.1406.
RAHN, K. A., and D. H. LOWENTHAL. "In Reply: Tracing Aerosol Pollution." Science 227, no. 4693 (March 22, 1985): 1408–12. http://dx.doi.org/10.1126/science.227.4693.1408.
Ferro-Vázquez, Cruz, Marta Pérez-Rodríguez, Juan Carlos Nóvoa-Muñoz, Jonatan Klaminder, Richard Bindler, and Antonio Martínez Cortizas. "Tracing Pb Pollution Penetration in Temperate Podzols." Land Degradation & Development 28, no. 8 (September 12, 2017): 2432–45. http://dx.doi.org/10.1002/ldr.2777.
Mo, Jianghong, Xinling Tian, and Wei Shen. "Tracing the source of heavy metal pollution in water sources of Tourist Attractions Based on GIS remote sensing." Earth Sciences Research Journal 25, no. 2 (July 19, 2021): 207–14. http://dx.doi.org/10.15446/esrj.v25n2.84631.
Moran, Daniel, and Keiichiro Kanemoto. "Tracing global supply chains to air pollution hotspots." Environmental Research Letters 11, no. 9 (September 1, 2016): 094017. http://dx.doi.org/10.1088/1748-9326/11/9/094017.
Yuan, Zengwei, Tao Luo, Xuewei Liu, Hui Hua, Yujie Zhuang, Xuehua Zhang, Ling Zhang, You Zhang, Weiwei Xu, and Jinghua Ren. "Tracing anthropogenic cadmium emissions: From sources to pollution." Science of The Total Environment 676 (August 2019): 87–96. http://dx.doi.org/10.1016/j.scitotenv.2019.04.250.
Miricioiu, Marius Gheorghe, Roxana Elena Ionete, Svetlana Simova, Dessislava Gerginova, and Oana Romina Botoran. "Metabolite Profiling of Conifer Needles: Tracing Pollution and Climate Effects." International Journal of Molecular Sciences 24, no. 19 (October 8, 2023): 14986. http://dx.doi.org/10.3390/ijms241914986.
Cai, Wen-da, Cui-Mei Bo, Jun Li, and Qi-Fang Li. "AIR pollution traceability based on OK-IGSO integration algorithm." E3S Web of Conferences 393 (2023): 03010. http://dx.doi.org/10.1051/e3sconf/202339303010.
Yasmeen, Rizwana, Yunong Li, and Muhammad Hafeez. "Tracing the trade–pollution nexus in global value chains: evidence from air pollution indicators." Environmental Science and Pollution Research 26, no. 5 (January 3, 2019): 5221–33. http://dx.doi.org/10.1007/s11356-018-3956-0.
Guo, Benli, Peng Yang, Yan Zhou, Hongjian Ai, Xiaodong Li, Rifei Kang, and Youcheng Lv. "Numerical Simulation of Carbon Tetrachloride Pollution-Traceability in Groundwater System of an Industrial City." Sustainability 14, no. 23 (December 2, 2022): 16113. http://dx.doi.org/10.3390/su142316113.
Дисертації з теми "Tracing pollution":
Miserendino, Rebecca Adler. "Tracing mercury pollution in aquatic ecosystems| Implications for public health." Thesis, The Johns Hopkins University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3571745.
This dissertation addressed questions pertaining to mercury (Hg) fate and transport in aquatic ecosystems by applying stable Hg isotopes as a tracer. Mercury poses a public health burden worldwide. In parts of the developing world, Hg-use during artisanal and small-scale gold mining (ASGM) is pointed at as the source of elevated Hg in the environment. However, Hg from other sources including soil erosion associated with land cover and land-use change (LCLUC) may also contribute to local Hg pollution.
Stable Hg isotope profiles of sediment cores, surface sediments, and soils from two aquatic ecosystems in Amapá, Brazil, one downstream artisanal gold mining (AGM) and one isolated from AGM were assessed. Although previous studies attributed elevated environmental Hg levels in this area to AGM, stable Hg isotopic evidence suggests elevated Hg downstream of AGM sites is dominantly from erosion of soils due to LCLUC.
In contrast, the impact of Hg-use during small-scale gold mining (SGM) in the Southern Andean Region of Portovelo-Zaruma, Ecuador on Hg in the trans-boundary Puyango-Tumbes River was also investigated. By comparing preliminary isotopic Hg signatures from river sediment along the Puyango-Tumbes to soil and sediment from upstream locations along the Puyango tributaries, we suggest Hg-use during SGM in this region is likely responsible for elevated Hg downstream and into Peru. Technical and policy challenges in measuring and responding to gold mining-related cumulative impacts were also reviewed in the context of Portovelo-Ecuador.
Together, the findings not only answer questions of critical importance to preventing Hg pollution in two of the world's most vulnerable ecosystems but also provide information that can be used to better target interventions to reduce environmental Hg levels and subsequent human exposures. Furthermore, the validation and application of the stable Hg isotope method to trace Hg pollution from ASGM in different aquatic ecosystems represents a critical step to the application of stable Hg isotopes to trace pollution in other complex natural environments and to address public health-related questions.
Koch, Benedikt. "Greening or greenwashing dirty laundry? Tracing sustainability in the Tirupur textile cluster." Thesis, Linköpings universitet, Tema Miljöförändring, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129924.
Coch, Caroline. "Pathways and Transit Time of Meltwater in the Englacial Drainage System of Rabots Glacier, Kebnekaise, Sweden." Thesis, Stockholms universitet, Institutionen för naturgeografi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-116256.
Cui, Qing. "Tracing Copper from society to the aquatic environment : Model development and case studies in Stockholm." Licentiate thesis, Stockholm : Royal Institute of Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-12049.
Babey, Tristan. "Compartimentation et transfert de contaminants dans les milieux souterrains : interaction entre transport physique, réactivité chimique et activité biologique." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S107/document.
Modelling of contaminant transfer in the subsurface classically relies on a detailed representation of transport processes (groundwater flow controlled by geological structures) coupled to chemical and biological reactivity (immobilization, degradation). Calibration of such detailed models is however often limited by the small amount of available data on the subsurface structures and characteristics. In this thesis, we develop an alternative approach of parsimonious models based on simple graphs of interconnected compartments, taken as generalized multiple interacting continua (MINC) and multiple rate mass transfer (MRMT). We show that this approach is well suited to systems where diffusion-like processes are dominant over advection, like for instance in soils or highly heterogeneous aquifers like fractured aquifers. Homogenization induced by diffusion reduces concentration gradients, speeds up mixing between chemical species and makes residence time distributions excellent proxies for reactivity. Indeed, simplified structures calibrated solely from transit time information prove to provide consistent estimations of non-linear reactivity (e.g. sorption and precipitation/dissolution). Finally, we show how these models can be applied to tracer observations and to biodegradation reactions. Two important advantages of these parsimonious approaches are their facility of development and application. They help identifying the major controls of exchanges between advective and diffusive zones or between inert and reactive zones. They are also amenable to extrapolate reactive processes at larger scale. The use of isotopic fractionation data is proposed to help discriminating between structure-induced effects and reactivity
Ghasemifard, Homa [Verfasser], Annette [Akademischer Betreuer] Menzel, Annette [Gutachter] Menzel, and Jia [Gutachter] Chen. "Tracing atmospheric carbon dioxide: pollution sources and air-mass transport influencing high Alpine areas in Central Europe / Homa Ghasemifard ; Gutachter: Annette Menzel, Jia Chen ; Betreuer: Annette Menzel." München : Universitätsbibliothek der TU München, 2020. http://d-nb.info/1221719505/34.
Araújo, Susana Manso. "Tracking sources of fecal pollution in Berlenga Island." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/9740.
As águas marinhas costeiras são suscetíveis a contaminação fecal, tanto por fontes pontuais, como por fontes difusas, que podem ter contribuições de fontes individuais pertencentes a animais selvagens, animais domésticos e seres humanos. Os inputs de fontes difusas no ambiente são dispersos e esporádicos, o que torna a sua deteção difícil. A distinção entre a contaminação fecal de origem humana e não-humana tem vindo a tornar-se, nos últimos anos, um objetivo global crucial, uma vez que tem impacto na saúde humana e na economia local. Uma vez que a qualidade das águas superficiais é relevante para a saúde pública devido à sua ampla utilização, especialmente em atividades de lazer e consumo de marisco, a avaliação das fontes de poluição fecal primárias torna-se, assim, uma medida prioritária. Apesar da contaminação fecal por animais selvagens ser considerada de baixo risco para a saúde humana quando comparada com a poluição fecal de origem humana, as fezes de animais selvagens podem também transportar microrganismos patogénicos para humanos. Nos últimos anos, um problema de contaminação fecal foi detetado na água da praia da Ilha da Berlenga. No sentido de esclarecer qual a origem desta contaminação surgiu este estudo, tendo como principal objetivo a determinação e identificação da(s) fonte(s) de poluição fecal responsáveis pela contaminação da água detetada na Ilha da Berlenga. Este objetivo foi alcançado utilizando a metodologia de “Microbial Source Tracking”, através de tipagem molecular (BOXPCR) de isolados de Escherichia coli provenientes da água da praia, de fezes de gaivotas e de um efluente de origem humana e da análise dos dendrogramas resultantes. Para além disso, outros aspetos foram analisados, nomeadamente, a abundância relativa, a saturação de amostragem e índices de diversidade. Tendo em conta os dados resultantes do presente estudo, é possível concluir que: (i) as gaivotas podem ser consideradas o principal responsável pela poluição fecal da água praia; (ii) o método de amostragem e a estratégia da análise dos resultados obtidos podem ser considerados eficientes, para este tipo de ambiente e isolados; e (iii) o esforço de amostragem não foi suficiente para atingir toda a diversidade das populações de E. coli durante amostragem permitindo, no entanto, concluir quanto à principal fonte de contaminação fecal neste ambiente.
Coastal marine waters are often susceptible to fecal contamination from a range of point and nonpoint sources, with potential contributions from many individual sources belonging to wildlife, domesticated animals, and humans. These nonpoint source inputs into the environment are dispersed and sporadic, which makes their detection difficult. The distinction between human and non-human fecal contamination is becoming an important worldwide purpose, in light of the impact of fecal pollution on human health and economic affairs. Since quality of surface waters is relevant to public health due its wide use, particularly for recreational activities and seafood consumption, accurate assessment of primary sources of fecal pollution is clearly a priority measure. While fecal contamination from wildlife sources is often believed to present low human health risks compared to sewage, wildlife species are believed to carry human pathogens that may pose a health risk to humans as well. In the last few years a problem of fecal contamination has been detected in the beach of the Berlenga Island. Thus, this study has emerged having as major aim the determination and identification of which sources of fecal pollution are the responsible for the water contamination detected in the Berlenga Island. This aim was achieved using a Microbial Source Tracking methodology through molecular typing (BOX-PCR) of Escherichia coli isolates from contaminated water, seagull feces and a human-derived effluent and analysis of the resulting clustering. In addition, relative abundance, sampling saturation and diversity indices were analyzed. Taking into account the data resulting from the present study, it is possible to conclude that: (i) the seagulls can be considered the main responsible for the fecal pollution of the beach water; (ii) the sampling method and the analysis methodology can be considered efficient to this type of environment and isolates; (iii) the sampling efforts were not enough to achieve all the diversity of the E. coli populations sampled allowing, however, the determination of the dominant source of fecal pollution in this environment.
Bothamy, Nina. "Fractionnement anthropique et naturel des isotopes stables du néodyme (Nd) dans l'environnement." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0295.
With the worldwide growing demand for various applications (new technologies, green energies, etc.), rare earth elements (REEs) are now considered as emerging pollutants. These pollutions are/will be of industrial origin (e.g. industrial wastes), of mining origin, or caused by the inappropriate storage of industrial products (e.g. neodymium (Nd) magnets fragile against corrosion). In this context, this PhD project aims to develop a new tool: the study of the mass-dependent isotopic fractionation of Nd (δNd in ‰). The goals of this work were to i) bring the maximum of information in order to help to identify and trace anthropogenic Nd in the environment, and ii) help the understanding of how plants accumulate REEs, especially the hyperaccumulator Dicranopteris linearis ferns, in order to support the studies about the phytoremediation of polluted areas. The δNd of anthropogenic materials (pure Nd synthetic solutions, Nd2Fe14B industrial magnets; δ148Nd range of 1.45 ‰, literature included) was compared to the signature of natural terrestrial rocks of the literature (δ148Nd range of 0.66 ‰). Our results show that the use together of i) the 143Nd radiogenic isotope (ε143Nd, tracer of sources), ii) the stable Nd isotopic composition of Nd (δNd, tracer of sources and processes) and, iii) the kind of stable Nd isotopic fractionation (kinetic or thermodynamic equilibrium), could allow the distinction of the natural from the anthropogenic Nd, and to trace the anthropogenic Nd in the environment. The measurement of the δNd of 5 D. linearis fern specimens, and of 3 biological standards (lichen, apple leaves and duck weed) allowed discovering that biology can fractionate the stable Nd isotopes. Extreme δ148Nd values are -0.415 ± 0.060 ‰ and -0.011 ± 0.022 ‰ (2σmean), respectively for one of the fern petiole and the duck weed. Three principal results were obtained: i) the δNd fractionation is correlated to the fractionation of the light REEs than the heavy REEs for all the studied samples (ferns, lichen, apple leaves, duck weed and all soil materials); ii) the distribution and transport of Nd (and REEs) in the different parts of ferns are correlated to those of manganese (Mn), suggesting similar transport mechanisms for REEs and Mn, for ferns but also for other plants as apple trees; iii) the degradation of clay minerals, on which REEs are mostly adsorbed in the studied soils, can induce the fractionation of stable Nd isotopes, from natural processes (e.g. biological) or anthropogenic processes (REEs mining acidic extraction)
McKinney, Julie Michelle. "Identifying Sources of Fecal Pollution in the Appomattox River Watershed." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/9951.
Master of Science
Huang, Xixi. "Identification of Putative Geographic Sources of Bacterial Pollution in Lake Erie by Molecular Fingerprinting." University of Toledo / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1172507289.
Книги з теми "Tracing pollution":
Geological Survey (U.S.), ed. Tracing and dating young ground water. [Reston, Va.?: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.
Rohmann, Steven O. Tracing a river's toxic pollution: A case study of the Hudson. New York, N.Y: INFORM, 1985.
Rohmann, Steven O. Tracing a river's toxic pollution: A case study of the Hudson, phase II. New York, NY: INFORM, 1987.
Kossik, Richard F. Tracing and modeling pollutant transport in Boston Harbor. Cambridge, Mass: MIT Sea Grant College Program, Massachusetts Institute of Technology, 1986.
Cubbage, Jim. Drainage basin tracing study: Phase II chemicals found in storm drains and outfalls to Sinclair and Dyes Inlets, Washington. Olympia, Wash: Washington State Dept. of Ecology, Environmental Investigations and Laboratory Services Program, 1995.
Chen, Ajiang, Pengli Cheng, and Yajuan Luo. Chinese "Cancer Villages". Translated by Jennifer Holdaway. NL Amsterdam: Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789089647221.
inc, Tetra Tech, and United States. Environmental Protection Agency. Office of Water, eds. Techniques for tracking, evaluating, and reporting the implementation of nonpoint source control measures. [Washington, D.C.]: U.S. Environmental Protection Agency, Office of Water, 1997.
United States. Environmental Protection Agency. Office of Research and Development. Microbial source tracking guide document. Cincinnati, Oh: U.S. Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory, 2005.
Hagedorn, Charles, Anicet R. Blanch, and Valerie J. Harwood. Microbial source tracking: Methods, applications, and case studies. New York: Springer, 2011.
E, Taggart Bruce, Colman John A, Cooke Matthew G, and Geological Survey (U.S.), eds. Tracking polychlorinated biphenyls in the Millers River basin, Massachusetts. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 2003.
Частини книг з теми "Tracing pollution":
Åberg, GörAN E. "Tracing Pollution and its Sources with Isotopes." In Acid rain 2000, 1577–82. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-007-0810-5_110.
Hung, Chih-Chieh, Hong-En Hsiao, Chuang-Chieh Lin, and Hui-Huang Hsu. "Air Pollution Source Tracing Framework: Leveraging Microsensors and Wind Analysis for Pollution Source Identification." In Communications in Computer and Information Science, 142–54. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1714-9_12.
Skrzypek, G. "Conceptual Sampling Design for Tracing Agropollutants on a Catchment Scale." In Tracing the Sources and Fate of Contaminants in Agroecosystems, 11–16. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47265-7_2.
Blake, W. H., A. Taylor, E. Muñoz-Arcos, L. Ovando-Fuentealba, C. Bravo-Linares, and G. E. Millward. "Quantifying Sediment and Associated Pollutants Sources in Agricultural Catchments Using Isotopic Techniques." In Tracing the Sources and Fate of Contaminants in Agroecosystems, 127–55. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47265-7_7.
Skrzypek, G. "Principles of Mixing and Fractionation Models." In Tracing the Sources and Fate of Contaminants in Agroecosystems, 17–31. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47265-7_3.
Trini Castelli, Silvia, Gianni Tinarelli, Francesco Uboldi, Piero Malguzzi, and Paolo Bonasoni. "Developments of SPRAY Lagrangian Particle Dispersion Model for Tracing the Origin of Odour Nuisance." In Air Pollution Modeling and its Application XXVIII, 35–41. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12786-1_5.
Imfeld, G., G. Skrzypek, J. Adu-Gyamfi, and L. Heng. "Conclusion: Stable Isotope Tracers Are Useful for the Identification of Pollutants in Agro-ecosystems." In Tracing the Sources and Fate of Contaminants in Agroecosystems, 157–64. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47265-7_8.
Nyakudya, Ratidzo Yvonne, and Michael Ayomoh. "Sustainability Enhancement of the Coal Based Direct Reduction of Iron Premised on a Rotary Kiln." In Lecture Notes in Mechanical Engineering, 211–18. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_24.
Haarstad, Ketil. "Constructed Wetlands and Groundwater Infiltration Treating Industrial Wastewater, Treatment Efficiency, and Pollution Tracing." In Water Management and the Environment: Case Studies, 279–90. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-79014-5_13.
Quaghebeur, D., G. Hiernaux, and E. De Wulf. "Tracing a Source of Pollution by Determination of Specific Pollutants in Surface- and Groundwater." In Organic Micropollutants in the Aquatic Environment, 142–46. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4660-6_16.
Тези доповідей конференцій з теми "Tracing pollution":
Zhou, Huanyu, Ni Zhang, Di Huang, Zhanyu Ma, Weisong Hu, and Jun Guo. "Activation force-based air pollution tracing." In 2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC). IEEE, 2016. http://dx.doi.org/10.1109/icnidc.2016.7974610.
Boente, Carlos, Marco Antonio Guzmán, Diego Baragaño, Marcos Escobar, Gonzalo Márquez, and José Luis Rodríguez Gallego. "Tracing Soil Pollution Sources through Forensic Geochemistry." In 30th International Meeting on Organic Geochemistry (IMOG 2021). European Association of Geoscientists & Engineers, 2021. http://dx.doi.org/10.3997/2214-4609.202134361.
Haarstad, K. "Tracing pollution from the dismantling of oil production equipment and landfills as water pollution sources using mercury dust and a stable carbon isotope." In WATER POLLUTION 2016. Southampton UK: WIT Press, 2016. http://dx.doi.org/10.2495/wp160031.
Gbikpi-Benissan, Guillaume, and Frederic Magoules. "Beam-Tracing Domain Decomposition Method for Urban Acoustic Pollution." In 2014 13th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES). IEEE, 2014. http://dx.doi.org/10.1109/dcabes.2014.34.
Du, Xin, Fang Zeng, Guoliang Shi, and Yinchang Feng. "Smart Pollution Source Tracing via Gradient Tree Boosting Regression." In 2019 International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). IEEE, 2019. http://dx.doi.org/10.1109/mlbdbi48998.2019.00077.
Ostera, Hector A., Cecilia Torres Vilar, and Martin Eugenio Fasola. "Tracing Groundwater Pollution in the Oil Industry: Myths and Reality." In Latin American & Caribbean Petroleum Engineering Conference. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/108275-ms.
Liu, Xin-Chen, Elizabeth Keily, and Arif M. Sikder. "TRACING THE EVIDENCE OF POLLUTION IN SEDIMENTS DUE TO COAL COMBUSTION." In GSA Annual Meeting in Denver, Colorado, USA - 2016. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016am-286335.
Rohmann, S. "Tracing a River's Toxic Pollution: A Case Study of the Hudson." In OCEANS '86. IEEE, 1986. http://dx.doi.org/10.1109/oceans.1986.1160403.
Norbu, Namkha, Shuguang Wang, Yan Xu, Jianqiang Yang, and Qiang Liu. "Application of zinc isotope tracer technology in tracing soil heavy metal pollution." In GREEN ENERGY AND SUSTAINABLE DEVELOPMENT I: Proceedings of the International Conference on Green Energy and Sustainable Development (GESD 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.4993040.
Jia, Junhu, Youfu Jiang, Ming Yang, and Kaihao Hu. "River and canal sudden water pollution tracing based on the Metropolis-Hastings algorithm." In International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), edited by Harris Wu and Haiwu Li. SPIE, 2024. http://dx.doi.org/10.1117/12.3026787.
Звіти організацій з теми "Tracing pollution":
Jackson, J. G. Fiscal Year 2009 Y-12 Site Profile for DOE Pollution Prevention Tracking and Reporting. Office of Scientific and Technical Information (OSTI), November 2009. http://dx.doi.org/10.2172/969029.
Saadeh, Shadi, and Pritam Katawał. Performance Testing of Hot Mix Asphalt Modified with Recycled Waste Plastic. Mineta Transportation Institute, July 2021. http://dx.doi.org/10.31979/mti.2021.2045.