نتائج البحث - "mixed pollution"

1

دورية أكاديمية

食用植物油中黄曲霉毒素和赭曲霉毒素的污染状况及特征分析Analysis of contamination status and characteristics of aflatoxin and ochratoxin in edible vegetable oils

المؤلفون: 孙嘉笛，徐洪文，徐一达，张银志，孙秀兰 SUN Jiadi,XU Hongwen, XU Yida, ZHANG Yinzhi, SUN Xiulan

المصدر: Zhongguo youzhi, Vol 47, Iss 9, Pp 35-43 (2022)

مصطلحات موضوعية: 食用植物油；黄曲霉毒素；赭曲霉毒素；混合污染, edible vegetable oil, aflatoxin, ochratoxin, mixed pollution, Oils, fats, and waxes, TP670-699

وصف الملف: electronic resource

العلاقة: http://tg.chinaoils.cn/ch/reader/create_pdf.aspx?file_no=20220907&year_id=2022&quarter_id=9&falg=1Test; https://doaj.org/toc/1003-7969Test

الوصول الحر: https://doaj.org/article/6c794b4438d24fd88d2af1f6e23841e1Test

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2

دورية أكاديمية

Quantifying and predicting ecological and human health risks for binary heavy metal pollution accidents at the watershed scale using Bayesian Networks

المؤلفون: Liu, Jing, Liu, Renzhi, Yang, Zhifeng, Kuikka, Sakari

المساهمون: Ecosystems and Environment Research Programme, Helsinki Institute of Sustainability Science (HELSUS), Biosciences, Fisheries and Environmental Management Group

مصطلحات موضوعية: Risk assessment, Emergent Cr6+-Hg2+ mixed pollution accidents, Bayesian networks, Copula functions, Electroplating industry, BELIEF NETWORKS, QUALITY, MANAGEMENT, MODEL, RIVER, GULF, VULNERABILITY, INTEGRATION, UNCERTAINTY, SIMULATION, Environmental sciences, Ecology, evolutionary biology

وصف الملف: application/pdf

العلاقة: This research was supported by the National Key R&D Program of China under grant No. 2016YFC0502802 and the National Natural Science Foundation of China under grant No. 41271514. The authors are grateful to the Institute of Environmental Risk & Damages Assessment in Guangdong Provincial Academy of Environmental Science for the case study. Further, S.K. gained support from the Strategic Research Council of the Academy of Finland under the project "Creative adaptation to wicked socioenvironmental disruptions" (WISE) (No. 312625).; Liu , J , Liu , R , Yang , Z & Kuikka , S 2021 , ' Quantifying and predicting ecological and human health risks for binary heavy metal pollution accidents at the watershed scale using Bayesian Networks ' , Environmental Pollution , vol. 269 , 116125 . https://doi.org/10.1016/j.envpol.2020.116125Test; ORCID: /0000-0001-8802-8013/work/90905645; http://hdl.handle.net/10138/338658Test; 9be2071b-bdee-48a5-9ab0-ca8d33096177; 000604429000052

الإتاحة: http://hdl.handle.net/10138/338658Test

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3

دورية أكاديمية

食用植物油中黄曲霉毒素和赭曲霉毒素的污染状况及特征分析Analysis of contamination status and characteristics of aflatoxin and ochratoxin in edible vegetable oils

المؤلفون: XU Yida, ZHANG Yinzhi, SUN Xiulan

المصدر: Zhongguo youzhi, Vol 47, Iss 9, Pp 35-43 (2022)

مصطلحات موضوعية: 食用植物油；黄曲霉毒素；赭曲霉毒素；混合污染, edible vegetable oil, aflatoxin, ochratoxin, mixed pollution, Oils, fats, and waxes, TP670-699

العلاقة: http://tg.chinaoils.cn/ch/reader/create_pdf.aspx?file_no=20220907&year_id=2022&quarter_id=9&falg=1Test; https://doaj.org/toc/1003-7969Test; https://doaj.org/article/6c794b4438d24fd88d2af1f6e23841e1Test

الإتاحة: https://doi.org/10.19902/j.cnki.zgyz.1003-7969.210501Test
https://doaj.org/article/6c794b4438d24fd88d2af1f6e23841e1Test

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4

دورية أكاديمية

Factores ambientales y su incidencia en espacios públicos, desarrollo social y economía

المؤلفون: Cera Sánchez, Emilio

المصدر: Investigación & Desarrollo; No. 9 (1999); 74-96 ; Investigación & Desarrollo; Núm. 9 (1999); 74-96 ; Investigación & Desarrollo; n. 9 (1999); 74-96 ; 2011-7574 ; 0121-3261

مصطلحات موضوعية: Environmental damage, public space, mixed pollution, Problemas ambientales, espacio público, desarrollo social

وصف الملف: application/pdf

العلاقة: https://rcientificas.uninorte.edu.co/index.php/investigacion/article/view/2689/1801Test; https://rcientificas.uninorte.edu.co/index.php/investigacion/article/view/2689Test

الإتاحة: https://rcientificas.uninorte.edu.co/index.php/investigacion/article/view/2689Test

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5

دورية أكاديمية

Quantifying and predicting ecological and human health risks for binary heavy metal pollution accidents at the watershed scale using Bayesian Networks

المؤلفون: Liu, Jing, Liu, Renzhi, Yang, Zhifeng, Kuikka, Sakari

المساهمون: University of Helsinki, Ecosystems and Environment Research Programme

مصطلحات موضوعية: Risk assessment, Emergent Cr6+-Hg2+ mixed pollution accidents, Bayesian networks, Copula functions, Electroplating industry, BELIEF NETWORKS, QUALITY, MANAGEMENT, MODEL, RIVER, GULF, VULNERABILITY, INTEGRATION, UNCERTAINTY, SIMULATION, 1172 Environmental sciences, 1181 Ecology, evolutionary biology, envir, geo

العلاقة: http://hdl.handle.net/10138/328174Test

الإتاحة: http://hdl.handle.net/10138/328174Test

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6

Quantifying and predicting ecological and human health risks for binary heavy metal pollution accidents at the watershed scale using Bayesian Networks

المؤلفون: Zhifeng Yang, Renzhi Liu, Sakari Kuikka, Jing Liu

المساهمون: University of Helsinki, Ecosystems and Environment Research Programme, Ecosystems and Environment Research Programme, Helsinki Institute of Sustainability Science (HELSUS), Biosciences, Fisheries and Environmental Management Group

المصدر: Environmental Pollution. 269:116125

مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Health, Toxicology and Mutagenesis, UNCERTAINTY, 010501 environmental sciences, Toxicology, 01 natural sciences, Watershed scale, Copula (probability theory), Risk management, Risk assessment, media_common, geography.geographical_feature_category, Ecology, General Medicine, Pollution, 6. Clean water, SIMULATION, 1181 Ecology, evolutionary biology, INTEGRATION, Environmental Monitoring, Emergent Cr6+-Hg2+ mixed pollution accidents, China, GULF, Watershed, media_common.quotation_subject, Electroplating industry, Metals, Heavy, Tributary, MANAGEMENT, RIVER, Humans, QUALITY, 1172 Environmental sciences, 0105 earth and related environmental sciences, VULNERABILITY, geography, business.industry, Bayesian network, Bayes Theorem, MODEL, Bayesian networks, 13. Climate action, Accidents, BELIEF NETWORKS, Environmental science, business, Copula functions, Water Pollutants, Chemical