Oil pollutant identification based on excitation-emission matrix of UV-induced fluorescence and deep convolutional neural network

Environmental Science and Pollution Research - Identifying the types of oil pollutants in a spill event can help determine the source of spill and formulate the plan of emergency responses....     

Determination and identification of metabolites of the fungicides Iprodione and Procymidone in compost

The main metabolites formed from Iprodione and Procymidone during the composting process have been isolated and identified by HPLC-DAD-MSD. After addition of the fungicides to the composting pile, we monitored the reaction of the two analytes and the formation of their degradation products for eight months. We verified the nature of the metabolites by comparison with those hypothesised in the literature and by comparison with the behaviour of an abiotic process in aqueous acetonitrile pH 6 and at 35 degrees C. After taking into account the different kinetic behaviours of the fungicides on degradation in compost and hydro-organic solution, breakdown pathways are proposed for biodegradation.     

Artificial neural network for the identification of unknown air pollution sources

Artificial neural networks (ANN), whose performances to deal with pattern recognition problems is well known, are proposed to identify air pollution sources. The problem that is addressed is the apportionment of a small number of sources from a data set of ambient concentrations of a given pollutant. Three layers feed-forward ANN trained with a back-propagation algorithm are selected. A test case is built, based on a Gaussian dispersion model. A subset of hourly meteorological conditions and measured concentrations constitute the input patterns to the network that is wired to recover relevant emission parameters of unknown sources as outputs. The rest of the model data are corrupted adding noise to some meteorological parameters and we test the effectiveness of the method to recover the correct answer. The ANN is applied to a realistic case where 24 h SO₂ concentrations were previously measured. Some of the limitations of the ANN approach, together with its capabilities, are discussed in this paper.     

基于三维荧光及平行因子分析的南昌市某河可溶性有机物溯源及治理策略

地表河流污染物溯源对污染物防治及河流生态环境改善具有重要意义。三维荧光光谱(3D-EEM)的图谱形状、荧光峰位置、荧光峰强度、荧光峰个数信息和荧光参数可作为水体中可溶性有机物(DOM)的荧光特征。结合平行因子分析(PARAFAC)对南昌市某河的3D-EEMs进行分析并进行DOM溯源研究,结果表明,该河DOM主要包含3个荧光组分,分别为类腐殖质荧光组分C1(λ_Ex/λ_Em=245 nm/430 nm)、类氨基酸和类腐殖质组分的混合物C2(λ_Ex/λ_Em=240,300 nm/365 nm)和类色氨酸荧光组分C3(λ_Ex/λ_Em=225,275 nm/335 nm),分别占总荧光组分的35.93%,26.62%和37.45%。该河基本满足地表水环境质量标准(GB 3838-2002)III类水标准,浮游植物主要为蓝绿藻,河流中磷的来源复杂。污染物溯源结果表明,该河DOM腐殖化程度较低,生物活性较强,主要来源于浮游植物和微生物代谢降解和沉积物在冲击和水力作用下产生的内源污染。建议该河采用生态修复技术并辅助水体曝气系统治理DOM污染,并持续防止河流引入外源污染。     

Use of handheld X-ray fluorescence spectrometry units for identification of arsenic in treated wood

The objective of this study was to evaluate the performance of handheld XRF analyzers on wood that has been treated with a preservative containing arsenic. Experiments were designed to evaluate precision, detection limit, effective depth of analysis, and accuracy of the XRF arsenic readings. Results showed that the precision of the XRF improved with increased sample concentration and longer analysis times. Reported detection limits decreased with longer analysis times to values of less than 1mg/kg or 18 mg/kg, depending on the model used. The effective depth of analysis was within the top 1.2 cm and 2.0 cm of sample for wood containing natural gradients of chemical preservative and concentration extremes, respectively. XRF results were found to be 1.5-2.3 times higher than measurements from traditional laboratory analysis. Equations can be developed to convert XRF values to results which are consistent with traditional laboratory testing.     

三维荧光联合气相色谱/质谱快速溢油鉴别技术研究

通过一个具体溢油事例的研究,提出了通过三维荧光联合气相色谱/质谱(GC/MS)进行海面溢油鉴别的方法。采用三维荧光指纹信息(谱图形状、荧光特征峰位置、荧光特征峰强度)对14个可疑溢油源样品进行筛选,排除了13个可疑溢油源样品后,再利用GC/MS方法对溢油样品以及剩余可疑溢油源样品中难降解的生物标志化合物(饱和链烷烃、萜烷、甾烷、多环芳烃)进行分析,计算相应的诊断比值并采用重复性限方法进行溢油样品和可疑溢油源样品的鉴别分析。结果表明,溢油样品与其中的一个可疑溢油源样品一致,为同一来源;采用三维荧光联合GC/MS进行海面溢油鉴别,既可保证鉴别的准确性,又可大幅度减少检测工作量,缩短鉴定周期。     

Filamentous scum bacteria in activated sludge plants: detection and identification quality by conventional activated sludge microscopy versus fluorescence in situ hybridization.

Detection of filamentous bacteria morphotypes involved in scum formation in activated sludge wastewater treatment plants by conventional sludge microscopy is often doomed to fail because of morphological and taxonomical variations. The aim of this study is to compare detection, identification, and quantification quality of filamentous "scum bacteria" found by conventional activated sludge microscopy and fluorescence in situ hybridization (FISH). In the case of filamentous Microthrix parvicella and Eikelboom morphotypes 1863 and 1851, conventional activated sludge microscopy and FISH results correspond well. In contrast, conventional activated sludge microscopy overlooks nocardioform actinomycete and type 1863 single cells. On the other hand, FISH underestimates filamentous nocardioform actinomycetes and morphotypes 0041/0675 or 0092 because of insufficient cell wall permeability or because of their taxonomic variability, with a resulting inadequacy of previously published probes. Nostocoida limicola morphotype results are still inconclusive because of low bacteria numbers being available in situ and the enormous taxonomic variability within this group.     

The impact of UV-B and sulphur- or copper-containing solutions in acidic conditions on chlorophyll fluorescence in selected Ramalina species

Ramalina maciformis and Ramalina lacera were exposed to different solutions and UV-B to seek for alterations in the PSII photosynthetic quantum yield (F(v)/F(m)), in response to chemicals and radiation. For R. maciformis, significant alterations of the F(v)/F(m) ratio occurred only in response to different bisulphite solutions. The F(v)/F(m) ratio decreased most in R. maciformis and R. lacera following exposure to 5 and 1 mM bisulphite, respectively. Significant differences in F(v)/F(m) ratios were observed for R. lacera in response to different solutions and light at different wavelengths, this being synergistic. The PSII system was unaffected by simulated acid rain in both lichens. R. maciformis, in particular, may survive limited acid rain exposure owing to high Ca oxalate accumulation. The F(v)/F(m) ratio decreased most in R. lacera following short-term exposures to CuSO(4), suggesting that this species is more sensitive to Cu ions under acidic conditions.     

Sulphur-containing metabolites of the fungicides pentachloronitrobenzene (PCNB) and hexachlorobenzene (HCB) I. Syntheses

Syntheses of sulphur-containing metabolites of the fungicides pentachloronitrobenzene and hexachlorobenzene are described.     

The total greenhouse warming potential of technical systems: analysis for decision making.

Mitigation of greenhouse gas (GHG) warming of the atmosphere concerns many industrial and government sectors. Since no quantitative measures existed to compare the complete effects of processes and their GHG emissions, past decisions were based primarily on qualitative or partial analyses. Three developments extending existing methods are proposed. First, a systems perspective should be used to facilitate identification of all GHGs associated with industrial or agricultural operations and reduce chances of unanticipated side effects following any decision. Second, the entire life-cycle plus aftereffects should be used to portray system time effects. Third, a Warming Forcing Factor and Index are suggested for use to completely describe the effect of each GHG emitted by a system and relate it to useful output, as well as to composite the effects of all emissions. As an illustration of its suitability for individual technology assessments, results are presented for a biomass-to-methanol vehicle fuel system.     

Yeasts as a model for assessing the toxicity of the fungicides Penconazol, Cymoxanil and Dichlofluanid

In the present work the sensitivity of yeast strains of Kluyveromyces marxianus, Pichia anomala, Candida utilis, Schizosaccharomyces pombe and Saccharomyces cerevisiae, to the fungicides cymoxanil, penconazol, and dichlofluanid, was evaluated. Dichlofluanid induced the most negative effects, whereas penconazol in general was not very toxic. Overall, our results show that the parameters IC50 for specific respiration rates of C. utilis and S. cerevisiae and C(D) for cell viability of S. cerevisiae can be applied to quantify the toxicity level of the above compounds in yeast. Hence, could be explored as an alternative or at least as a complementary test in toxicity studies and, therefore, its potential for inclusion in a tier testing toxicity test battery merits further research.     

Sulphur-containing metabolites of the fungicides pentachloronitrobenzene (PCNB) and hexachlorobenzene (HCB) II. Mass spectra

Mass spectrometric data of synthesized sulphur-containing derivatives of the fungicides pentachloronitrobenzene (PCNB) and hexachlorobenzene (HCB), such as thiophenols, thioanisoles, disulphides, pentachlorophenylmethylsulphoxide, pentachlorophenylmethylsulphone, and acetylcysteine-conjugates, as well as non sulphur-containing derivatives, such as phenols, pentachloroanisole, and chlorinated benzenes are reported.     

Current state of yusho and prospects for therapeutic strategies

The mass food poisoning incident yusho occurred in Japan in 1968. It was caused by the ingestion of rice bran oil contaminated with polychlorinated biphenyls and various dioxins and dioxin-like compounds including polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDFs). Notably, PCDFs were found to contribute to approximately 65% of the total toxicity equivalent in the blood of yusho patients. Lipophilic dioxins are retained in the body for a longer period than previously estimated. Victims suffered from characteristic skin manifestations associated with non-specific systemic symptoms, neurological symptoms, and respiratory symptoms. The severe symptoms seen in the initial phase subsequently faded, but recently, improvements have scarcely been observed. The Yusho Group has been researching treatments for this condition. Several clinical trials with chelating agents or dietary fibers aimed at accelerating the excretion of compounds. While some treatments increased dioxin excretion, none provided satisfactory symptom relief. Concurrently, various phytochemicals and herbal extracts have been found to possess biological activities that suppress dioxin-induced toxicity via aryl hydrocarbon receptor or activate the antioxidant nuclear factor-erythroid 2-related factor-2 (NRF2) signal pathway, making them promising therapeutic candidates. Here, we summarize the current status of yusho and findings of clinical trials for yusho patients and discuss the treatment prospects.

     

Outlier identification and visualization for Pb concentrations in urban soils and its implications for identification of potential contaminated land

Outliers in urban soil geochemical databases may imply potential contaminated land. Different methodologies which can be easily implemented for the identification of global and spatial outliers were applied for Pb concentrations in urban soils of Galway City in Ireland. Due to its strongly skewed probability feature, a Box–Cox transformation was performed prior to further analyses. The graphic methods of histogram and box-and-whisker plot were effective in identification of global outliers at the original scale of the dataset. Spatial outliers could be identified by a local indicator of spatial association of local Moran's I, cross-validation of kriging, and a geographically weighted regression. The spatial locations of outliers were visualised using a geographical information system. Different methods showed generally consistent results, but differences existed. It is suggested that outliers identified by statistical methods should be confirmed and justified using scientific knowledge before they are properly dealt with.     

Infant Mortality and Air Pollution: A Comprehensive Analysis of U.S. Data for 1990

ABSTRACT

This paper uses U.S. linked birth and death records to explore associations between infant mortality and environmental factors, based on spatial relationships. The analysis considers a range of infant mortality end points, regression models, and environmental and socioeconomic variables. The basic analysis involves logistic regression modeling of individuals; the cohort comprises all infants born in the United States in 1990 for whom the required data are available from the matched birth and death records. These individual data include sex, race, month of birth, and birth weight of the infant, and personal data on the mother, including age, adequacy of prenatal care, and smoking and education in most instances. Ecological variables from Census and other sources are matched on the county of usual residence and include ambient air quality, elevation above sea level, climate, number of physicians per capita, median income, racial and ethnic distribution, unemployment, and population density. The air quality variables considered were 1990 annual averages of PM₁₀, CO, SO₂, SO₄ ^2-, and “non-sulfate PM₁₀” (NSPM₁₀—obtained by subtracting the estimated SO₄ ^2-mass from PM₁₀). Because all variables were not available for all counties (especially maternal smoking), it was necessary to consider various subsets of the total cohort.

We examined all infant deaths and deaths by age (neonatal and postneonatal), by birth weight (normal and low [<2500 g]), and by specific causes within these categories. Special attention was given to sudden infant death syndrome (SIDS). For comparable modeling assumptions, the results for PM₁₀ agreed with previously published estimates; however, the associations with PM₁₀ were not specific to probable exposures or causes of death and were not robust to changes in the model and/or the locations considered. Significant negative mortality associations were found for SO₄ ^2-. There was no indication of a role for outdoor PM_2.5, but possible contributions from indoor air pollution sources cannot be ruled out, given higher SIDS rates in winter, in the north and west, and outside of large cities.     

A convolutional neural network approach for detection of E. coli bacteria in water

Environmental Science and Pollution Research - The detection of Escherichia coli bacteria is essential to prevent health diseases. According to the laboratory-based methods, 12–48 h is...     

Successive identification of biodegradation rates for multiple sequentially reactive contaminants in groundwater.

At the field scale, the biodegradation rate is usually estimated from analytical solutions to single species transport with first-order reactions, using measured data as input. Because many contaminants, e.g., chlorinated solvents, are degraded in a sequential pattern, with degradation products further reacting to produce new species, it is of great interest to quantify the transformation rate of every reaction. The conventional inverse solutions for identifying the transformation rates are limited to single species problems. In the present study, we propose a successive optimization approach to identify the biodegradation rate for each species by using a previously developed analytical solution to multi-species first-order reactive transport using data obtained at the field scale. By specifying a link between analytical solutions to sequentially reactive transport problems and optimization methods and assuming constant transport parameters (velocity, dispersivities, and retardation factors), the first-order transformation rates are optimized successively from parent species to its daughter species.     

Climate-resilient strategies for sustainable management of water resources and agriculture

Environmental Science and Pollution Research - Warming of the earth is considered as the major adverse effect of climate change along with other abnormalities such as non-availability of water...     

进口固体废物鉴别现状和鉴别依据存在的问题及对策研究

中国每年从国外进口大量的可用作原料的固体废物,对于进口固体废物合法性进行鉴别显得尤为重要。介绍了中国近3年进口固体废物的鉴别情况,详细分析了进口固体废物及《禁止进口固体废物目录》中固体废物的种类、来源地、申报名称、鉴别结果等,指出了当前进口固体废物鉴别依据存在的主要问题,并提出了针对性的对策与建议,以期为中国固体废物鉴别相关标准的制定提供依据。     

响应面法和神经网络优化Acinetobactersp．DNS32发酵基质

为了提高阿特拉津降解菌Acinetobactersp．DNS32的产量,分别采用响应曲面法和基于人工神经网络的遗传算法对阿特拉津降解菌DNS32发酵培养基中3个重要基质成分（玉米粉、豆饼粉、K：HPO。）进行优化研究。响应曲面法确定3种成分的含量为玉米粉39．494g／L,豆饼粉25．638g／L和K。HPO。3．265g／L时,预测发酵活菌最大生物量为7．079×10^8CFU／mL,实测量为7．194×10^8CFU／mL;人工神经网络结合遗传算法优化确定3种主要成分含量为玉米粉为39．650g／L,豆饼粉为25．500g／L,K2HPO4为2．624g／L时,预测最大值为7．199×10^8CFU／mL,实测量为7．244×10。CFU／mL;最终确定培养基配方：玉米粉为39．650g／L,豆饼粉为25．500g／L,K2HPO4为2．624g／L,CaCO3为3．000g／L,MgSO4·7H2O和NaCl均为0．200g／L;优化后阿特拉津降解菌DNS32发酵生物量比优化前提高了36．6％。结果表明,在阿特拉津降解菌DNS32发酵培养基组分优化方面,响应面法和基于人工神经网络的遗传算法都是可行的,基于人工神经网络的遗传算法具有更好的拟合度和预测准确度。