Development of a novel myconanomining approach for the recovery of agriculturally important elements from jarosite waste

In this study, an ecofriendly and economically viable waste management approach have been attempted towards the biosynthesis of agriculturally important nanoparticles from jarosite waste. Aspergillus terreus strain J4 isolated from jarosite(waste from Debari Zinc Smelter,Udaipur, India), showed good leaching efficiency along with nanoparticles(NPs) formation under ambient conditions. Fourier-transform infrared spectroscopy(FT-IR) and transmission electron microscopy(TEM) confirmed the formation of NPs. Energy dispersive X-ray spectroscopy(EDX analysis) showed strong signals for zinc, iron, calcium and magnesium,with these materials being leached out. TEM analysis and high resolution transmission electron microscopy(HRTEM) showed semi-quasi spherical particles having average size of 10‐50 nm. Thus, a novel biomethodology was developed using fungal cell-free extract for bioleaching and subsequently nanoconversion of the waste materials into nanostructured form. These biosynthesized nanoparticles were tested for their efficacy on seed emergence activity of wheat(Triticum aestivum) seeds and showed enhanced growth at concentration of 20 ppm. These nanomaterials are expected to enhance plant growth properties and being targeted as additives in soil fertility and crop productivity enhancement.     

用MATLAB实现滤波器对数字地震资料处理初探

本文介绍了用MATLAB工具软件对数字离散信号进行频谱分析和设计FIR数字滤波器的方法，并用它对数字地震记录进行频谱分析和滤波处理。文中还给出了地震台站测震数据进行频谱分析和滤波处理的实例，对台站在地震数据处理中有一定的应用价值。     

Changes in carbonyl index and average molecular weight on embrittlement of enhanced-photodegradable polyethylenes

Weathering behavior of two types of enhanced-photodegradable polyethylenes was studied using FTIR spectroscopy, tensile property changes, and gel-permeation chromatography to monitor structural changes accompanying photodegradation. Changes in elongation at break and carbonyl index during degradation showed a strong correlation with the average molecular weight of the polymers. At the point of embrittlement, the highest extent of degradation measured using tensile properties, the number-average molecular weights for both polymers were in the 10⁴ g/mol range. Facile biodegradation is not expected of polyethylenes of this degree of polymerization.     

微重力波动与燃烧温度变化的研究

本文通过试验飞机抛物线飞行进行了微重力燃烧实验,采集得到微重力条件下一个采样点微重力波动和燃烧温度变化的数据,在此基础上将时间序列预测和神经网络相结合进行了微重力波动与燃烧温度变化的研究,揭示了试验飞机抛物线飞行中微策略波动和采样点燃烧温度变化的规律。     

Selection of poly(R)-3-hydroxybutyric acid utilising bacteria by enrichment,optimisation and compatibility testing for consortia development

Bacterial strains with poly-3-hydroxybutyrate (PHB) degradation potential were isolated from waste yard soil samples of selected industrial sites in Uttarakhand, India, and two microbial consortia were developed, i.e. Consortium I comprises Pseudomonas sp. strain Rb10, Pseudomonas sp. strain Rb11 and Bacillus sp. strain Rb18, and Consortium II is composed of Lysinibacillus sp. strain Rb1, Pseudomonas sp. strain Rb13 and Pseudomonas sp. strain Rb19. The current study involved enrichment selection via liquid and semi-solid media, followed by isolation and screening of bacterial strains using PHB pellets and films. Furthermore, the identification and characterisation was done by triphasic approach. The utilisation of PHB by the characterised strains was confirmed by Fourier transform infrared spectroscopy and scanning electron microscopy. Moreover, the minimum inhibitory concentration of solubilised PHB was found to be 2.5?mg/mL, which was detected through ‘clear zone assay’. Further, the selection and biocompatibility testing of potential isolates were performed for the formation of bacterial consortia. Thus, the present work would provide direct and standardised protocol for screening and selection of potential microbiomes for biodegradation of polymers by overcoming the negative effect of organic solvents. Moreover, indigenously developed consortia would be evaluated for their in situ biodegradation potential against various bioplastic films.     

Utilization of nano/micro-size iron recovered from the fine fraction of automobile shredder residue for phenol degradation in water

Phenol removal by n/m Fe in the presence of H₂O₂ was highly effective. Increasing the amounts of n/m Fe and H₂O₂?increased the phenol removal rate. Phenol removal was decreased with an increase in the concentration of phenol. The natural pH (6.9) of the solution was highly effective for phenol removal. The pseudo-first-order kinetics was best fitted for the degradation of phenol. The study investigates the magnetic separation of Fe from automobile shredder residue (ASR) (<0.25 mm) and its application for phenol degradation in water. The magnetically separated Fe was subjected to an ultrasonically assisted acid treatment, and the degradation of phenol in an aqueous solution using nano/micro-size Fe (n/m Fe) was investigated in an effort to evaluate the possibility of utilizing n/m Fe to remove phenol from wastewater. The prepared n/m Fe was analyzed by scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR). The effects of the dosages of n/mFe, pH, concentration of phenol and amount of H₂O₂ on phenol removal were evaluated. The results confirm that the phenol degradation rate was improved with an increase in the dosages of n/mFe and H₂O₂; however, the rate is reduced when the phenol concentration is higher. The degradation of phenol by n/mFe followed the pseudo-first-order kinetics. The value of the reaction rate constant (k) was increased as the amounts of n/m Fe and H₂O₂ increased. Conversely, the value of k was reduced when the concentration of phenol was increased. The probable mechanism behind the degradation of phenol by n/m Fe is the oxidation of phenol through hydroxyl radicals which are produced during the reaction between H₂O₂ and n/m Fe.     

Comparison of sensitivity analysis techniques: A case study with the rice model WARM

The considerable complexity often included in biophysical models leads to the need of specifying a large number of parameters and inputs, which are available with various levels of uncertainty. Also, models may behave counter-intuitively, particularly when there are nonlinearities in multiple input-output relationships. Quantitative knowledge of the sensitivity of models to changes in their parameters is hence a prerequisite for operational use of models. This can be achieved using sensitivity analysis (SA) via methods which differ for specific characteristics, including computational resources required to perform the analysis. Running SA on biophysical models across several contexts requires flexible and computationally efficient SA approaches, which must be able to account also for possible interactions among parameters. A number of SA experiments were performed on a crop model for the simulation of rice growth (Water Accounting Rice Model, WARM) in Northern Italy. SAs were carried out using the Morris method, three regression-based methods (Latin hypercube sampling, random and Quasi-Random, LpTau), and two methods based on variance decomposition: Extended Fourier Amplitude Sensitivity Test (E-FAST) and Sobol’, with the latter adopted as benchmark. Aboveground biomass at physiological maturity was selected as reference output to facilitate the comparison of alternative SA methods. Rankings of crop parameters (from the most to the least relevant) were generated according to sensitivity experiments using different SA methods and alternate parameterizations for each method, and calculating the top-down coefficient of concordance (TDCC) as measure of agreement between rankings. With few exceptions, significant TDCC values were obtained both for different parameterizations within each method and for the comparison of each method to the Sobol’ one. The substantial stability observed in the rankings seem to indicate that, for a crop model of average complexity such as WARM, resource intensive SA methods could not be needed to identify most relevant parameters. In fact, the simplest among the SA methods used (i.e., Morris method) produced results comparable to those obtained by methods more computationally expensive.     

Multiscale Indicators of Land Degradation in the Patagonian Monte,Argentina

Depletion of vegetation by overgrazing in arid environments has long-lasting effects on the environmental quality over extended geographic areas. An adequate inspection of habitat changes requires scaled up procedures that would allow assessing end-points of environmental status in broad areas that would be based on processes occurring at the plant canopy level. Our purpose was to find indicators of land degradation–conservation status for use in land monitoring programs and in planning management practices that would be amenable to further up-scaling for use with remotely sensed imagery. In several sites of the Patagonian Monte differing in the impact of grazing management, we evaluated vegetation attributes at three spatial scales. At the population scale, we found that the severity of grazing impact was characterized by the reduction of the palatable grass, P. ligularis, outside and inside shrub canopies. At the vegetation patch scale, we found that land degradation by domestic herbivore impact was characterized by changes in attributes of patch shape (radius, height, internal canopy cover) and patch abundance. At the plant community scale, we found that the structure of the plant canopy as described using Fourier analysis of cover data changed after long-term grazing impact consistently with the modifications in plant population and patch structures. We present a conceptual multiscale scenario of structural changes triggered by domestic herbivore impact, and quantitative indicators of plant structure and processes useful to develop management strategies of the Patagonian-Monte that would conserve its natural habitats. The developed end-points are also amenable for use in land conservation assessment through remotely sensed imagery.     

石化罐区挥发性有机物源强反演技术的研究

石化企业是国民经济的支柱,亦是重大的污染排放源,其中大气污染以VOCs为主,而石化罐区是石化企业最常用的生产装置,研究石化罐区VOCs的核算具有重要的意义。同时,遥感傅里叶变换红外光谱技术以独特的优势,被广泛地应用于大气环境监测中,国内外一些研究学者试图将遥感傅里叶红外光谱技术与VOCs源强反演技术相结合,开发一条VOCs源强核算的新路。基于我国石化罐区的实际情况,提出了一种以遥感傅里叶变换红外光谱技术为监测手段,以石化罐区VOCs源强反演技术-扩散模式反推法为理论基础的石化罐区无组织排放VOCs源强反演的新方法,并介绍了其相关的研究理论、研究方法、研究进展,以及目前所存在的问题,为VOCs源强反演提供了一种新思路。     

基于溶解性有机物分子指纹特征解析城市河道污染来源与机制

溶解性有机物(DOM)是河道污染物的重要组成部分,是构成黑臭的主要原因.在我国城市黑臭水体治理攻坚新形势下,针对广泛存在的复合污染源信息不明确的难题,进一步从分子层面解析河道DOM成分是深入探究河道污染来源、成因和形成机制,从而实现高效治理的关键环节.以某大型城市的中心城区河道作为研究对象,分别选取了受4个分流制和合流制排水系统的放江污水严重影响的共5个河道断面,应用傅里叶变换离子回旋共振质谱(FT-ICR-MS)分别对各点位旱天和雨天时的表层水和沉积物样品中DOM分子式、元素组成和群组成分进行全谱解析与数据分析.结果表明：(1)城市河道DOM虽然以CHO和木质素类化合物为主,但人为源有机物(脂肪类和蛋白质类化合物)以及CHOS等杂原子化合物的较高占比揭示了河道受人为污染的现状,同时带来DOC、 TN和NH⁺₄-N的升高;(2) C₁₇H₂₈O₃S和C₁₈H₃₀O₃S等表面活性剂类化合物普遍存在于所有城市河道中,...