G. Fang, Yen-Ping Peng, Yuan-Jie Zhuang, Long-Cing Huang
{"title":"Monitoring ambient air particulates, VOC and CO2 pollutants concentrations, particulates numbers by AQ Guard Ambient sampler","authors":"G. Fang, Yen-Ping Peng, Yuan-Jie Zhuang, Long-Cing Huang","doi":"10.1080/15275922.2022.2047833","DOIUrl":"https://doi.org/10.1080/15275922.2022.2047833","url":null,"abstract":"Abstract The AQ Guard Ambient sampler is the most advanced compact device that collects ambient air pollutants of various particle sizes. This study collected ambient air pollutant particles of various sizes, CO2 and VOC concentrations and particle numbers from April to May of 2021 using the AQ-guard ambient sampler at Taichung Science Park. The relationships among various particles sizes, CO2, VOC concentrations and total particle numbers in conjunction with the meteorological conditions are also discussed. Appropriate statistical methods were used to test the mean concentration differences between various particulate sizes, CO2, VOC and total particle numbers at Taichung Science Park. The results indicated that particle concentrations of various sizes (PM1, PM2.5, PM4, PM10, PMtot), CO2, VOC concentrations and particulate numbers at the sample location over the study period were the highest on April 21 and gradually decreased from April 21 to May 23, 2021 at Taichung Science Park. The meteorological conditions; temperature, relative humidity and wind speed were negatively displayed but moderately correlated with the ambient air particulate concentrations, CO2, VOC and particulate numbers. The relationships between ambient air particles (PM1, PM2.5, PM4, PM10, PMtot), and CO2, VOC concentrations displayed moderate correlated relationships. The results further showed that there were mean concentration differences existing for most of the pollutants (particulates, CO2 and VOC) monitored by the AQ Guard Ambient sampler in this study. The relationships among particles sizes of PM1 v.s. PM2.5, PM2.5 v.s. PM4, PM4 v.s. PM10, PM10 v.s. PMtot were highly correlated with the mean concentrations. However, the results further showed that they also displayed no significant mean concentration differences for PM1 v.s. PM2.5, PM2.5 v.s. PM4, PM4 v.s. PM10, PM10 v.s. PMtot were collected by the AQ Guard sampler at this Taichung Science Park sampling site.","PeriodicalId":11895,"journal":{"name":"Environmental Forensics","volume":"5 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85007732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantification of synthetic-based drilling mud olefins in crude oil and oiled sediment by liquid column silver nitrate and gas chromatography","authors":"S. Stout, Eric R. Litman","doi":"10.1080/15275922.2022.2047834","DOIUrl":"https://doi.org/10.1080/15275922.2022.2047834","url":null,"abstract":"Abstract Synthetic-based drilling muds (SBMs) are complex mixtures of man-made fluids used during the drilling of oil and gas wells. SBM-derived chemicals can enter the environment through failed wells and routine or poor disposal practices, where they can persist and thereby warrant measurement. SBMs are commonly formulated with linear and methyl branched α- and internal-olefins mostly in the C14 to C20 carbon range, which are not native to crude oils. Thus, SBM-derived olefins can provide a basis to recognize the impact of these drilling wastes in the environment. However, the presence of abundant native hydrocarbons in oils and sediments can hinder the detection of trace level SBM-derived olefins by conventional organic sample preparation and analytical methods. Silver ion chromatography using silver nitrate (AgNO3) impregnated silica gel can serve to physically separate olefins from saturated aliphatic hydrocarbons native in crude oils, which can subsequently be analyzed and measured by conventional one-dimensional gas chromatography-flame ionization detection (GC-FID). In this study, SBM-derived olefins are measured in crude oils from the Deepwater Horizon oil spill and in their laboratory mixtures to a detection limit of approximately 5000 µg/g (0.5 wt%). In oiled sediment, SBM-derived olefins were reliably detected at concentrations as low as 1 µg/g-dry. An application of this method is demonstrated through analysis of crude oils and oil-contaminated seafloor sediment from the Taylor Energy oil spill site in the northern Gulf of Mexico where SBM was historically used and discharged.","PeriodicalId":11895,"journal":{"name":"Environmental Forensics","volume":"21 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74928151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of a two stage liability allocation process in case of multiple party pollution","authors":"L. Priya, G. Varghese, A. Pivato","doi":"10.1080/15275922.2022.2047830","DOIUrl":"https://doi.org/10.1080/15275922.2022.2047830","url":null,"abstract":"Abstract Liability allocation in pollution incidents involving multiple polluters is a challenging task even in cases where thorough forensic investigation has been carried out. A two-stage liability allocation process, i.e., technical liability allocation carried out by technical experts followed by legal liability allocation, is suggested for adoption in such cases. The liability allocation may be required for the impacts of pollution and/or for remediation of the polluted site. The first stage of liability allocation, i.e., technical liability allocation is discussed in the paper. The study identified and evaluated the most relevant technical factors that should be considered for responsibility allocation. These factors, quantified from the results of an environmental forensic investigation, can be aggregated as ‘Impact index’ and ’Remediation index’ for use in liability allocation. A method for the estimation of ’Impact index’ and ’Remediation index’ is suggested. The study argues that the overall liability allocation can be made more efficient and faster when the liability allocation is a two-stage process.","PeriodicalId":11895,"journal":{"name":"Environmental Forensics","volume":"98 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78607228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mercury variation over the last century in dated sediment cores across Brazil: a systematic review of literature","authors":"M. D. R. Campos, P. B. Gonçalves, L. Bizon","doi":"10.1080/15275922.2022.2047837","DOIUrl":"https://doi.org/10.1080/15275922.2022.2047837","url":null,"abstract":"","PeriodicalId":11895,"journal":{"name":"Environmental Forensics","volume":"52 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76657713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Fang, Chao-Lang Kao, Wei-Shun Gao, Yuan-Jie Zhuang
{"title":"Particle size distributions and seasonal concentrations study of atmospheric pollutants (particulates, Hg(p)) at an agricultural site in Taiwan","authors":"G. Fang, Chao-Lang Kao, Wei-Shun Gao, Yuan-Jie Zhuang","doi":"10.1080/15275922.2021.1976312","DOIUrl":"https://doi.org/10.1080/15275922.2021.1976312","url":null,"abstract":"Abstract The concentrations of ambient air particulates of various sizes (PM1, PM2.5, PM6.25, PM10 and PM18) were measured using a MOUDI sampler at an agricultural sampling site in central Taiwan from January to September, 2020. The concentrations of particulate-bound mercury Hg(p) that were attached to particulates of various sizes (PM1, PM2.5, PM6.25, PM10 and PM18)) were analyzed using a Direct Mercury Analyzer (DMA-80). The results revealed that the mean particulate and Hg(p) concentrations associated with PM18, PM10, PM6.25, PM2.5 and the back filter were all highest in autumn and winter. The mean mass median diameter (m.m.d.) value for ambient air particulates was highest in the summer and lowest for Hg(p). The mean m.m.d. value for ambient air Hg(p) was highest in the winter and lowest for ambient air particulates. The northeast monsoon prevails in the winter season of Taiwan. Thus, The sources of particulates and Hg(p) pollutants might came from the northeast side of Taiwan - especially in spring and winter seasons. Thus, ambient air particulate concentrations are higher in the winter than in the spring. However, ambient air particulate-bound mercury Hg(p) tended to be associated more with coarse particulates than with other particulates. Finally, Hg(p) concentrations in Taiwan have increased over the last 15 years. Reducing atmospheric Hg(p) concentrations has become an important environmental goal in all countries - especially those in Asia.","PeriodicalId":11895,"journal":{"name":"Environmental Forensics","volume":"287 1","pages":"85 - 95"},"PeriodicalIF":1.8,"publicationDate":"2021-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80299271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bishu Karmakar, Mahesh Singh, B. K. Choudhary, Sudhir Kumar Singh, J. C. Egbueri, S. Gautam, K. Rawat
{"title":"Investigation of the hydrogeochemistry, groundwater quality, and associated health risks in industrialized regions of Tripura, northeast India","authors":"Bishu Karmakar, Mahesh Singh, B. K. Choudhary, Sudhir Kumar Singh, J. C. Egbueri, S. Gautam, K. Rawat","doi":"10.1080/15275922.2021.2006363","DOIUrl":"https://doi.org/10.1080/15275922.2021.2006363","url":null,"abstract":"Abstract The aim of this study was to elucidate the contaminant sources and the processes controlling the groundwater quality and risk assessment of heavy metals posed on humans by statistical indices. The groundwater sampling was performed at Bodhjungnagar Industrial Estate, A.D. Nagar, Dukli and Badharghat Industrial Cluster, Tripura, India during pre-monsoon and post-monsoon in the year 2017. A total of 21 water quality parameters (Temp, pH, TDS, Ca, Mg, TH, Na, K, HCO3, Cl, SO4, PO4, NO3, F, Fe, Mn, Pb, Cd, As, Cu, Zn, and Cr) were determined from collected samples. The statistical and graphical methods were employed to assess the suitability of water. The water quality index (WQI) suggested that the majority of the samples are suitable for drinking purpose. The WATEQ4F model was applied to compute the saturation index (SI) of different minerals present in the water samples. Based on Piper plot the dominant water type is Ca-Cl in the study area. The Nemerow integrated pollution index (NIPI) indicates that the groundwaters of both industrial sites have moderately to highly deteriorated water with heavy metals. The hazard index (HI) revealed that amongst the population, chronic health risk was greater for children and considering the seasons, the risk was higher during the premonsoon season.","PeriodicalId":11895,"journal":{"name":"Environmental Forensics","volume":"33 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81124143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Characterization of a pollution source with isotopic and physicochemical measurements using a forensic metrology approach","authors":"C. B. Barbieri, J. Sarkis, L. Rodrigues","doi":"10.1080/15275922.2021.2006366","DOIUrl":"https://doi.org/10.1080/15275922.2021.2006366","url":null,"abstract":"Abstract Carbon and nitrogen composition and isotopic ratios (δ15N, δ13C, and δ13C-DIC) as well as physicochemical parameters were measured in hazardous waste leachate connected to an environmental pollution crime. A forensic metrology approach was employed by estimating the measurement uncertainty, including that from the sampling process, using range statistics. The physicochemical parameters demonstrated differences in the leachate from some of the different ponds and this was supported by carbon and nitrogen elemental and isotopic analyses. The isotopic signature of δ15N and δ13C-DIC was highly enriched in the heavy isotope demonstrating that those analyses are a substantial tool for leachate pollution tracking. The uncertainty of the measurements was below or slightly above 20% for most parameters which can be considered fit-for-purpose for a great deal of environmental surveys and was remarkably lower in the isotopic analyses. The uncertainty of measurement including the primary sampling is a relevant information in environmental investigations, especially forensic ones. This knowledge is crucial for a consistent interpretation of environmental samples analyses results, specially from polluted sites and pollution source characterization and tracking, where there is often substantial heterogeneity in environmental samples.","PeriodicalId":11895,"journal":{"name":"Environmental Forensics","volume":"56 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90326074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Gbadamosi, A. Abayomi, T. Afolabi, M. Adegboye, H. Bakare, O. Banjoko, A. L. Ogunneye, I. L. Ugbomeh, D. O. Jegede, A. Ajetunmobi, T. E. Bakare
{"title":"Pollution sources identification, health, and radiological risk assessment of naturally occurring radioisotopes and heavy metals in waste dumpsites in Ijebu-Ode, Ogun State, Southwest Nigeria","authors":"M. Gbadamosi, A. Abayomi, T. Afolabi, M. Adegboye, H. Bakare, O. Banjoko, A. L. Ogunneye, I. L. Ugbomeh, D. O. Jegede, A. Ajetunmobi, T. E. Bakare","doi":"10.1080/15275922.2021.2006365","DOIUrl":"https://doi.org/10.1080/15275922.2021.2006365","url":null,"abstract":"Abstract This study evaluates human health, pollution, and radiological risk assessment of potentially toxic metals (PTMs) (Pb, Cd, Cr, Ni, and Zn), radioisotopes (238U, 232Th, and 40K) and its associated radiological indices from dumpsite soils in Ogun State, Nigeria, using a calibrated atomic absorption spectrophotometer (AAS) and highly shielded γ-ray spectrometry using NaI(TI) detector. Fourier transform infrared spectrometer (FTIR) complemented by X-ray diffraction (XRD) techniques were used to evaluate the mineralogical composition of the soils. Multivariate statistical analysis was used to apportion the source of PTMs and the radioisotopes. The mean concentration of Pb, Cd, Cr, Ni, and Zn obtained were 22.35, 17.95, 20.83, 19.02, and 75.88 mg kg−1, respectively. The activity concentrations of 238U, 232Th, and 40K ranged from 49.71 ± 16.3 − 314.15 ± 55.2, BDL − 87.54 ± 7.38, and BDL − 3721.3 ± 231.6 Bqkg−1, respectively. The values obtained were above the global average value in most of the samples. According to the four-pollution and ecological risk assessment model, the dumpsite soils are strongly to low polluted and enriched with toxic metals in the order Zn > Cr > Pb > Ni > Cd. The estimated carcinogenic risk of the three carcinogenic PTMs for children and adults were higher than the acceptable limit (1 × 10−6). The results of the PCA and HCA results are consistent with the correlation coefficient analysis which showed that mixed natural, anthropogenic and lithogenic sources mainly from aggregation of lead-containing materials in the waste on the dumpsite, vehicular emission and industrial discharges are the main sources of Pb, Ni, and Cd in the three studied dumpsites. Thus, dumpsite soil poses great threat to health, increased pollution and enhances the radiological risk to the general population via human multiple exposure routes.","PeriodicalId":11895,"journal":{"name":"Environmental Forensics","volume":"16 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75065205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}