Research progress and hot spots of hydrothermal liquefaction for bio-oil production based on bibliometric analysis

Environmental Science and Pollution Research - Hydrothermal liquefaction (HTL) of biomass used HTL reaction under high temperature and pressure to produce bio-oil. This technology is considered as...     

全氟辛烷磺酸盐(PFOS)对半滑舌鳎(Cynoglossus semilaevis)免疫相关基因表达的影响

为了解全氟辛烷磺酸盐(perfluorooctane sulfonate, PFOS)暴露对半滑舌鳎(Cynoglossus semilaevis)免疫功能的影响,在实验室条件下,运用RT-PCR方法分析了PFOS暴露对半滑舌鳎热休克蛋白hsp70、hsp90、C型凝集素(c-type lectin)和细胞色素c氧化酶(cytochrome c oxidase, cox)等4种免疫相关基因表达水平的影响。实验测定了上述4种基因在半滑舌鳎肝、鳃、肠及肌肉4种不同组织中随时间(0、24 h、48 h、96 h和7 d)的表达变化情况。结果表明,在4种组织中,hsp70基因的表达与对照相比为上调,其中,肝组织hsp70基因的表达量显著高于其他各组织,且表达高峰值的出现也早于其他各组织;hsp90基因在肝和鳃组织中表达量随时间不同而波动,在肠组织中表达上调,在肌肉中表达显著下调;c-type lectin基因表达量与对照组相比表达显著下调或无明显差异;cox基因在肝组织和肠组织中表达下调,在鳃和肌肉中表达上调。上述研究结果表明,PFOS能引起免疫相关基因的表达变化,对半滑舌鳎具有潜在的免疫毒性。肝组织中各免疫基因对PFOS胁迫的响应高于其他组织。本研究可为阐明全氟辛烷磺酸盐对半滑舌鳎的免疫毒性提供基础数据。     

Correction to: Opportunities to reduce nutrient inputs to the Baltic Sea by improving manure use efficiency in agriculture

While progress has been made in reducing external nutrient inputs to the Baltic Sea, further actions are needed to meet the goals of the Baltic Sea Action Plan (BSAP), especially for the Baltic Proper, Gulf of Finland, and Gulf of Riga sub-basins. We used the net anthropogenic nitrogen and phosphorus inputs (NANI and NAPI, respectively) nutrient accounting approach to construct three scenarios of reduced NANI-NAPI. Reductions assumed that manure nutrients were redistributed from areas with intense animal production to areas that focus on crop production and would otherwise import synthetic and mineral fertilizers. We also used the Simple as Necessary Baltic Long Term Large Scale (SANBALTS) model to compare eutrophication conditions for the scenarios to current and BSAP-target conditions. The scenarios suggest that reducing NANI-NAPI by redistributing manure nutrients, together with improving agronomic practices, could meet 54–82% of the N reductions targets (28–43 kt N reduction) and 38–64% P reduction targets (4–6.6 kt P reduction), depending on scenario. SANBALTS output showed that even partial fulfillment of nutrient reduction targets could have ameliorating effects on eutrophication conditions. Meeting BSAP targets will require addressing additional sources, such as sewage. A common approach to apportioning sources to external nutrients loads could enable further assessment of the feasibility of eutrophication management targets.

     

基于探索性数据分析的汉丰湖富营养化驱动因子研究

为了探究汉丰湖富营养化驱动因子和营养状况，基于2014年水质监测数据，应用探索性数据分析方法初步研究了汉丰湖水动力条件与环境因子的相关性、水质主成分、相关环境因子熵权和营养健康指数。回归分析结果表明：水位与透明度呈正相关，流量与DO呈负相关，与流速呈负相关的因子为Chla、CODMn、NH+4-N和DTP；主成分分析提取的3个主成分分别反映了营养盐、有机污染以及藻类信息；DO、TN和TP的熵权表明汉丰湖水体的富营养状况受制于耗氧有机污染和氮、磷营养盐；营养健康指数S1>S3>S6（湖心）>S7（湖尾）>S5（湖首）>S4>S2。汉丰湖水体营养状况介于中营养到轻富营养，其中南河营养状态较高，湖心营养程度高于湖首和湖尾。减少有机污染物、营养盐的输入和改善局部水域的水动力条件可抑制藻类生长，有利于防治富营养化。 关键词： 探索性数据分析；汉丰湖；富营养化；驱动因子；水动力条件；主成分；熵权；营养健康指数     

FAHP法在污泥板框调理剂综合评价中的应用

提出了一种新的污泥板框调理剂综合评价方法。传统的CST(毛细吸水时间)、污泥比阻、泥饼含水率等指标只能单一地评价泥饼脱水效果,为了实现对调理效果的综合评价,需要考虑药剂调理费用、运输处置成本、设备处理产能、滤液处理难度等多种因素。通过长期采集中试运行数据,考察了3种污泥板框调理剂对设备、泥饼、滤液和运行4个方面17个指标的影响。引入层次分析法和模糊数学综合评价法相结合的模糊层次分析法(FAHP)对3种污泥板框调理剂进行了综合评价,采用层次分析法确定指标权重;采用隶属函数对指标进行无量纲化处理,确定其隶属度,解决了指标间的可综合性问题;最后用加权平均法得出评价综合值,综合评价值表明,在这3种调理剂中,调理剂1的综合效果最优,更适合作为该厂的污泥板框脱水调理剂。     

基于复杂系统建模的水管理政策研究进展

基于Agent的建模方法（ABSS）通过自下而上的方式，考察系统中主体的不同状态和行为特征、主体与环境的作用、主体之间的作用，来表征系统的宏观特征，是进行复杂社会环境系统分析和政策研究的重要手段，在水资源、水环境管理系统中得到了有效的应用。本文在大量文献调研的基础上，讨论了ABSS建模方法的基本原理、主要特征、系统构成、分类方法和开发工具等特征，总结了其供水系统发展、水资源分配和流域水资源管理、农业土地和水资源利用、居民用水行为、农业污染控制及人类活动的水环境影响等方面的应用，分析了其在研究内容、研究方法、研究结果等方面的发展趋势，讨论了利用该方法研究我国水资源管理和水污染控制政策的必要性和重要性。     

Fe0/厌氧微生物联合体系处理2,4,6-三氯酚影响因素的研究

利用Fe⁰/厌氧微生物联合体系对2,4,6-三氯酚(2,4,6-TCP)进行降解研究。结果表明，Fe0/厌氧微生物联合体系可以有效降解2,4,6-TCP，Fe⁰与厌氧微生物之间存在明显的协同效应。Fe⁰/厌氧微生物联合体系处理2,4,6-TCP的最优条件为：微生物接种量0.434 g VSS/L，Fe⁰投加量15 g/L，体系初始pH值7.0～8.0。     

GB/T18664-2002《呼吸防护用品的选择、使用与维护》系列讲座第二讲了解呼吸防护用品的分类和防护功能

有关呼吸防护用品的知识非常重要,它不仅使我们了解每类产品的功能和特点,更重要的是了解其局限性,因为没有一种防护用品是万能的,所以这些知识可帮助我们做出尽可能安全的选择。呼吸防护用品主要分过滤式和隔绝式两类(表1)。     

Discovering meaningful information from large amounts of environment and health data to reduce uncertainties in formulating environmental policies

This study uses knowledge discovery concepts to analyze large amounts of data step by step for the purpose of assisting in the formulation of environmental policy. We performed data cleansing and extracting from existing nation-wide databases, and used regression and classification techniques to analyze the data. The current water hardness in Kaohsiung, Taiwan contributes to the prevention of cardiovascular disease (CVD) but exacerbates the development of renal stones (RS). However, to focus on water hardness alone to control RS would not be cost effective at all, because the existing database parameters do not adequately allow for a clear understanding of RS. Analysis of huge amounts of data can most often turn up the most reliable and convincing results and the use of existing databases can be cost-effective.