Anaerobic co-digestion of kitchen waste and fruit/vegetable waste: Lab-scale and pilot-scale studies

The anaerobic digestion performances of kitchen waste (KW) and fruit/vegetable waste (FVW) were investigated for establishing engineering digestion system. The study was conducted from lab-scale to pilot-scale, including batch, single-phase and two-phase experiments. The lab-scale experimental results showed that the ratio of FVW to KW at 5:8 presented higher methane productivity (0.725 L CH₄/g VS), and thereby was recommended. Two-phase digestion appeared to have higher treatment capacity and better buffer ability for high organic loading rate (OLR) (up to 5.0 g (VS) L^?1 d^?1), compared with the low OLR of 3.5 g (VS) L^?1 d^?1 for single-phase system. For two-phase digestion, the pilot-scale system showed similar performances to those of lab-scale one, except slightly lower maximum OLR of 4.5 g (VS) L^?1 d^?1 was allowed. The pilot-scale system proved to be profitable with a net profit of 10.173 $/ton as higher OLR (?3.0 g (VS) L^?1 d^?1) was used.     

磺化β-环糊精对有机废水处理效果的研究

环糊精应用于有机废水及处理方面,能够对有机废水污染物产生包络作用.本实验采用直接磺化法合成了磺化β-环糊精,提出了一种用磺化β-环糊精处理有机废水的新的实验方法,并分析了它对有机废水的处理效果.本实验研究了不同量以及不同温度的磺化β-环糊精对有机废水处理效果的影响.通过实验得出磺化β-环糊精对废水有机物(农药氧化乐果)的包络随着加入量的增大而增大,达到某一数值后而下降.实验结果表明加入磺化β-环糊精后,处理效率可提高1.5至2.0倍,处理效果提高可达60％左右.     

环境空气质量指数（AQI）的EXCEL实现研究

空气质量指数以数值的形式表述空气质量状况、便于公众简明、清楚地了解空气质量的优劣程度,及时、准确地向公众提供易于理解的当地空气质量状况。基于EXCEL软件计算环境空气质量指数（AQI）的方法具有普及意义,有助于AQI算法在基础应用层面的实现,也有助于验证数据库开发中使用算法的准确性。本文结合苏州市环境空气监测数据,详细介绍如何在EXCEL中实现AQI的计算,供相关从业人员参考。     

贵阳市某垃圾填埋场的土壤地质环境评价

对贵阳市某垃圾填埋场周边土壤中主要成分进行分析,采用单因子污染指数、综合污染指数和内梅罗指数法进行评价。结果表明该垃圾填埋场沿地下水流向上土壤存在一定的污染,土壤中的污染因子主要为COD Mn、NO2-、SO42-、Mn、F-、Hg。随着距离的增加,污染程度呈现衰弱的趋势。     

Water quality evaluation of Haihe River with fuzzy similarity measure methods

Fuzzy similarity measures, which are used to judge the closeness of two fuzzy sets, are presented to evaluate the water quality of the Haihe River. Based on the membership functions and coefficient of variation as the weights, four fuzzy similarity measures （including Lattice similarity measure, Hamming similarity measure, Euclidean similarity measure and the max-min similarity measure） are used to classify the 299 samples into the proper water quality standard ranks. The results are compared with the traditional distance discriminant methods. The calculation of two traditional distance discriminant methods （both Euclidean distance and absolute value distance） is also based on the use of coefficients of variation as the weights. Without the Lattice similarity measure, for this method loses some information, the correct assignment of samples classified into the same water quality ranks is 75.92% with the other three similarity measures and two distance discriminant methods. This result shows the reliability of the five methods. Only considering the three similarity measures, there were only 1.01% of the samples that did not classify to the same ranks, while the corresponding ratio of the two distance discriminant methods was 5.69%. The results of leave-one-out cross validation show that more than 88% of the samples are classified to the proper ranks, which demonstrates that the similarity measures are suitable to evaluate the water quality of the Haihe River.     

攀钢六号烧结烟气脱硫树脂脱盐工艺参数优化研究

针对攀钢六号烧结烟气脱硫树脂脱盐工艺中存在的脱氯效率低、脱硫剂夹带损耗严重的现状,在现场开展了树脂脱盐工艺参数的优化研究工作。通过对树脂脱盐各步骤工艺参数的优化改进,有效地提高了树脂脱盐的脱氯效率及降低了脱硫剂损耗,为脱硫系统的高效、稳定运行奠定了基础。     

Who avoids being involved in personal carbon trading? An investigation based on the urban residents in eastern China

Environmental Science and Pollution Research - Personal carbon trading scheme has been pulled into the public eye with the increasing urgency of downstream carbon emission reduction, and its...     

Development of global soil erosion research at the watershed scale: a bibliometric analysis of the past decade

Environmental Science and Pollution Research - At the watershed scale, soil erosion is a cascading system that includes detachment–transport–deposition processes while sediment yield is...     

Effects of vermiculite on the growth process of submerged macrophyte Vallisneria spiralis and sediment microecological environment

Ecological restoration is one of the hot technologies for the reconstruction of eutrophic lake ecosystems in which the restoration and propagation of submerged plants is the key and difficult step. In this paper, the effect of vermiculite on the growth process of Vallisneria spiralis and sediment microenvironment were investigated, aiming to provide a theoretical basis for the application of vermiculite in aquatic ecological restoration. Results of growth indexes demonstrated that 5% and 10% vermiculite treatment groups statistically promote the growth of Vallisneria spiralis compared to the control. Meanwhile, the results of ecophysiological indexes showed that photosynthetic pigment, soluble sugar content, superoxide dismutase (SOD), and catalase (CAT) activity of 5% and 10% group were increased compared with the control while the malondialdehyde (MDA) content exhibited the opposite result (p < 0.05), which illustrated that vermiculite can improve the resistance of plants and delay the aging process of Vallisneria spiralis. In addition, result of PCA (Principal Component Analysis) demonstrated 5% and 10% group has improved the sediment physical conditions and create more ecological niche for microorganisms directly, and then promoted the growth of plants. The dissolution results showed that vermiculite can dissolve the constant and trace elements needed for plant growth. Furthermore, the addition of vermiculite increased the diversity of microorganisms in the sediments, and promoted the increase of plant growth-promoting bacteria and phosphorus-degrading bacteria. This study could provide a technique reference for the further application of vermiculite in the field of ecological restoration.     

Understanding the risks of mercury sulfide nanoparticles in the environment: Formation, presence, and environmental behaviors

Mercury (Hg) could be microbially methylated to the bioaccumulative neurotoxin methylmercury (MeHg), raising health concerns. Understanding the methylation of various Hg species is thus critical in predicting the MeHg risk. Among the known Hg species, mercury sulfide (HgS) is the largest Hg reservoir in the lithosphere and has long been considered to be highly inert. However, with advances in the analytical methods of nanoparticles, HgS nanoparticles (HgS NPs) have recently been detected in various environmental matrices or organisms. Furthermore, pioneering laboratory studies have reported the high bioavailability of HgS NPs. The formation, presence, and transformation (e.g., methylation) of HgS NPs are intricately related to several environmental factors, especially dissolved organic matter (DOM). The complexity of the behavior of HgS NPs and the heterogeneity of DOM prevent us from comprehensively understanding and predicting the risk of HgS NPs. To reveal the role of HgS NPs in Hg biogeochemical cycling, research needs should focus on the following aspects: the formation pathways, the presence, and the environmental behaviors of HgS NPs impacted by the dominant influential factor of DOM. We thus summarized the latest progress in these aspects and proposed future research priorities, e.g., developing the detection techniques of HgS NPs and probing HgS NPs in various matrices, further exploring the interactions between DOM and HgS NPs. Besides, as most of the previous studies were conducted in laboratories, our current knowledge should be further refreshed through field observations, which would help to gain better insights into predicting the Hg risks in natural environment.