两种植物根际促生菌对博落回抗干旱及富集铀性能的增强作用研究

采用土壤盆栽试验,通过在博落回(Macleaya cordata)根际单独接种荧光假单胞菌(Pseudomonas fluorescens)、单独接种绿针假单胞菌橙色亚种(Pseudomonas chlororaphis subsp. aurantiaca)及同时接种这两种菌,研究了这两种植物根际促生菌对博落回抗干旱及富集铀性能的增强作用.结果表明:在干旱胁迫下,单独接种荧光假单胞菌、单独接种绿针假单胞菌橙色亚种及同时接种这两种菌后,博落回的生物量分别增加了35.03%、21.01%和17.33%,相对含水量分别增加了26.90%、19.31%和29.48%,叶绿素总量分别增加了71.11%、48.47%、12.85%,脯氨酸含量分别降低了71.70%、64.91%和61.35%.在干旱和铀同时胁迫下,单独接种荧光假单胞菌、单独接种绿针假单胞菌橙色亚种及同时接种这两种菌后,博落回对铀的总富集量分别提高了109.52%、66.67%和42.86%.可见,两种植物根际促生菌对博落回抗干旱和富集铀性能的增强作用表现为:单独接种荧光假单胞菌单独接种绿针假单胞菌橙色亚种同时接种这两种菌.实验结果可为干旱地区铀污染土壤的植物修复提供参考.     

浅谈“5S”在环境监测业务管理中的应用研究

将“5S”管理概念应用到环境监测业务管理工作中.将“5S”针对企业管理的方法引入环境监测业务工作中,从工作环境、工作纪律、工作方法、工作安全方面进行一系列的应用.引入“5S”概念改进环境业务管理要求、提高环境监测工作效率、提升环境监测人员素质、加强环境监测的规范性和有效性,以一流的设备、技术、人才和管理,为用户提供高效优质的服务.“5S”管理理念应用于环境监测业务管理有助于环境监测业务工作的建设和提升.     

溶解性有机物对冰相中蒽和芘光降解的影响

以Suwannee River Fulvic Acid Standard II(SRFA)、Upper Mississippi River NOM(UMRN)、Elliott Soil Humic Acid Standard IV(ESHA)和Leonardite Humic Acid Standard(LHA) 4种溶解性有机物(Dissolved Organic Matter, DOM)为研究对象,利用125 W高压汞灯作为模拟光源进行室内模拟光解实验,考察了DOM对冰相中蒽和芘光降解的影响.其中,SRFA和UMRN是水源DOM,ESHA和LHA是陆源DOM.结果表明,蒽和芘在冰相中均可以发生直接光降解.4种DOM对冰相中蒽和芘光降解的影响行为并不相同,水源DOM对冰相中蒽和芘光降解的影响程度小于陆源DOM.DOM对冰相中蒽和芘光降解的抑制以光屏蔽效应为主.4种DOM对冰相中蒽和芘光降解均产生淬灭效应,但淬灭程度相异,DOM对蒽激发态的淬灭程度高于其对芘激发态的淬灭程度.与DOM共存条件下,冰相中芘的表观光解速率常数与DOM的SUVA值具有显著正相关性(p0.01).     

桫椤群落内主要乔木种群的种间联结性

在相邻格子抽样调查的基础上,采用X^2检验、联结系数（Ac)和种间共出现百分率（Pc)等指标,分析了福建省永定桫椤群落内主要乔木种群的种间联结性。结果表明：除少数种对外,绝大多数种群间的联结性不显著,在联结性显著的种对中,下述7个种对之间有较高的正联结性：朴树－野鸦椿、青冈－黄瑞木、青冈－油柿、翻白叶树－拉氏栲、黄瑞木－油柿、 青冈－香叶树和Song木－盐肤木,就桫椤群落而言,桫椤与猴欢喜、水团花之间有一定的正联结,与广东润楠、黄瑞木、柳叶山 茶、朴树和野鸦椿有较紧密的负联结。图3参11     

Travel on the road: does China’s high-speed rail promote local tourism?

Environmental Science and Pollution Research - Following a Chinese saying: To be rich, roads first, high-speed rail (HSR) opening and station construction are indispensable for economic developing....     

微生物在重金属离子污染修复及治理中的应用研究

重金属污染对环境造成了严重破坏,并威胁着人类的生命健康和财产安全。本文从重金属环境污染现状、重金属污染对微生物影响、微生物对重金属离子污染的修复作用、微生物修复方法的作用机理等方面,综述了微生物在重金属污染修复及治理中的研究概况,并对微生物修复及治理重金属污染存在的局限性进行分析,进一步提出相关改进建议,为处理重金属离子污染提供了理论依据。     

Analysis of the mechanism of the impact of internet development on green economic growth: evidence from 269 prefecture cities in China

As the digital economy develops rapidly and the network information technology advances, new development models represented by the network economy have emerged, which have a crucial impact on green economic growth. However, the relevant previous studies lacked the role of analyzing the direct and indirect effects of internet development on green economic growth at the prefecture-level city level. For this purpose, this paper aims to examine the intrinsic mechanism of the impact of internet development on green economic growth and provide empirical support for cities and regions in China to increase internet construction. Furthermore, the mixed model (EBM), which includes both radial and non-radial distance functions, is applied to calculate the green economic growth index. Fixed effect model and mediation effect model are also employed to test influence mechanisms of the internet development on green economic growth using panel data of 269 prefecture-level cities in China from 2004 to 2019. The statistical results reveal that internet development has contributed significantly to green economic growth. When the internet development level increases by 1 unit, the green economic growth level increases by an average of 5.0372 units. However, regional heterogeneity is evident between internet development and green economic growth, that is, the promoting effect of internet development on green economic growth is gradually enhanced from the eastern region to the western region. We also find that internet development guides industrial structure upgrading improves environmental quality and accelerates enterprise innovation, which indirectly contributes to green economic growth. And internet development mainly achieves green economic growth through enterprise innovation. Based on the above findings, we concluded that policymakers should not only strengthen the guiding role of social actors to promote the stable development of the internet industry, but also foster the construction of the three models of “internet+industry integration,” “internet+environmental governance,” and “internet+enterprise innovation” to promote green economic growth.

     

Substance flow analysis for an urban drainage system of a representative hypothetical city in China

This paper discusses the use of substance flow analysis (SFA) as a tool to support quantified research on urban drainage systems. Based on the principle of mass balance, a static substance flow model is established to describe and examine the routes and intensities of water, chemical oxygen demand (COD), total nitrogen (TN) and total phosphorus (TP) for a representative hypothetical city (RH city) in China, which is a devised and scaled city using statistical characteristics of urban circumstances at the national level. It is estimated that the annual flux of water, COD, TN and TP through the urban drainage system in 2010 was 55.1 million m³, 16037.3 t, 1649.5 t and 209.7 t, respectively. The effluent of wastewater treatment plant (WWTP) was identified as the most important pathway for pollutant emissions, which contributed approximately 60% of COD, 65% of TN and 50% of TP to receiving water. During the wastewater treatment process, 1.0 million m3, 7042.5 t, 584.2 t and 161.4 t of the four studied substances had been transmitted into sludge, meanwhile 3813.0 t of COD and 394.0 t of TN were converted and emitted to the atmosphere. Compared with the representative hypothetical city of 2000, urban population and the area of urban built districts had expanded by approximately 90% and 80% respectively during the decade, resulting in a more than threefold increase in the input of substances into the urban drainage system. Thanks to the development of urban drainage systems, the total loads of the city were maintained at a similar level.     

Influence of H2S and NH3 on biogas dry reforming using Ni catalyst: a study on single and synergetic effect

● NH₃ in biogas had a slight inhibitory effect on dry reforming. ● Coexistence of H₂S and NH₃ led to faster decline of biogas conversion. ● Regeneration was effective for catalysts deactivated under synergetic effect. Biogas is a renewable biomass energy source mainly composed of CH₄ and CO₂. Dry reforming is a promising technology for the high-value utilization of biogas. Some impurity gases in biogas can not be completely removed after pretreatment, which may affect the performance of dry reforming. In this study, the influence of typical impurities H₂S and NH₃ on dry reforming was studied using Ni/MgO catalyst. The results showed that low concentration of H₂S in biogas could cause serious deactivation of catalyst. Characterization results including EDS, XPS and TOF-SIMS confirmed the adsorption of sulfur on the catalyst surface, which was the cause of catalyst poisoning. We used air calcination method to regenerate the sulfur-poisoned catalysts and found that the regeneration temperature higher than 500 °C could help catalyst recover the original activity. NH₃ in the concentration range of 50–10000 ppm showed a slight inhibitory effect on biogas dry reforming. The decline rate of biogas conversion efficiency increased with the increase of NH₃ concentration. This was related to the reduction of oxygen activity on catalyst surface caused by NH₃. The synergetic effect of H₂S and NH₃ in biogas was investigated. The results showed that biogas conversion decreased faster under the coexistence of H₂S and NH₃ than under the effect of H₂S alone, so as the surface oxygen activity of catalyst. Air calcination regeneration could also recover the activity of the deactivated catalyst under the synergetic effect of H₂S and NH₃.     

某湿地生态保护区水体中铜的生态风险评价及管理限值研究

铜是生物必需的微量元素,但过量暴露会对生物产生毒害效应。针对我国南方城市某湿地生态保护区水体重金属污染问题,参照《澳大利亚和新西兰淡水和海水水质指南》,应用物种敏感度分布(speeies sensitivity distribution,SSD)方法和联合概率曲线(joint probability curve,JPC)方法评价水体中铜的生态风险评价,在此基础上提出水体中铜浓度的管理限值。根据该湿地生态保护区生物调查历史数据以及其他文献数据,整理了415个本地物种的清单,通过美国环境保护署ECOTOX数据库以及其他文献共获取了13个物种的毒性数据,构建了Weibull分布、对数正态分布、正态分布、对数Logistic分布、Logistic分布、BurrⅢ型分布和Gumbel分布等7个SSD模型。结果表明,利用13个本地物种铜毒性数据构建的SSD模型具有合理性,不同模型计算得到的湿地生态保护区水体中铜的总体风险期望值为0.054~0.121。其中,BurrⅢ型分布模型的拟合效果最好,据此推导得到以保护水生生态系统为目标的铜的高可靠性与中等可靠性触发值分别为2.55μg·L~(-1)和1.41μg·L~(-1)。考虑到管理目标的可达性和现状的生态风险水平,提出该湿地生态保护区水体中铜浓度的管理限值为3μg·L~(-1)。