Interactions of warming and altered nutrient load timing on the phenology of oxygen dynamics in Chesapeake Bay

The effects of nutrient loading on estuaries are well studied, given the multitude of negative water quality and ecosystem effects that have been attributed to excess nitrogen and phosphorus. A current gap in this knowledge involves the sensitivity of seasonal cycles of estuarine biogeochemical processes to direct (warming) and indirect influences (nutrient load timing) of climate change. We used a coupled hydrologic–biogeochemical model to investigate changes in the phenology of hypoxia and related biogeochemical processes in Chesapeake Bay under three different hydrologic regimes. Shifts to earlier nutrient load timing during idealized simulations reduced the overall annual hypoxic volume, resulting from discernable, but relatively small reductions in phytoplankton biomass and both sediment and water-column respiration. Simulated increases in water temperature caused an increase in spring/early summer hypoxic volume associated with elevated respiration rates, but an associated exhaustion of organic matter in the early summer caused a decrease in late summer/fall hypoxic volume due to lowered respiration. Warming effects on hypoxia were larger than nutrient timing effects in scenarios where warming was restricted to spring and when it was applied to all months of the year. These idealized simulations begin the process of understanding the potential impacts of future climatic changes in the seasonal timing of key biogeochemical processes associated with eutrophication.     

袋式除尘器喷吹管设计参数对喷吹气量影响的计算分析

针对袋式除尘器的脉冲喷吹气流量不均匀性问题,利用CFD数值模拟建立含有结构参数、运行参数的脉冲袋式除尘器的喷吹气流分布模型,通过正交试验法研究了喷吹压力P、喷口个数N、喷口口径D、喷嘴管长H、脉冲时间T和喷口间距L对脉冲喷吹气流量不均匀性σ的影响程度,并拟合得到了各参数与σ的关系式。在设计压力条件下修正喷口管径,获得较好的气流量分布;对修正后的均匀喷吹管,得到在不同喷吹压力下其气流量不均匀性的变化情况。     

建筑废物再循环利用研究

针对国外建筑废物再循环利用的经验以及国内建筑废物处理的现状,指出实施建筑废物再循环利用策略是解决我国建筑废物问题的有效途径,应当建立有效的建筑废物再循环体系来实现建筑废物处理的环境效益。     

固相萃取-气相色谱质谱法测定水样中5种邻苯二甲酸酯研究

建立了采用固相萃取技术结合气相色谱质谱法对5种邻苯二甲酸酯(PAEs) 进行富集、检测的方法,并成功应用于实际水样分析.实验中采用加标回收率来评价萃取效率,考察并优化了影响萃取效率的主要因素,包括固相萃取小柱的种类、洗脱剂类型、洗脱次数和用量、样品环境影响等.结果表明:在最佳萃取条件下,该法对5种PAEs(邻苯二甲酸二甲酯、邻苯二甲酸二乙酯、邻苯二甲酸二丁酯、邻苯二甲酸丁基苄基酯和邻苯二甲酸(2-乙基己基)酯)具有较高的萃取效率;在浓度范围为0.50~10.0 mg/L时,线性相关系数为0.992 6~0.999 8;检出限为0.05~0.37μg/L,定量限为0.20~1.48μg/L,空白水样加标回收率范围为95%~115%,相对标准偏差为2.4%~11.1%.该方法操作简单、稳定性好、回收率高,可以用于测定实际水样中的PAEs类增塑剂.     

Recent advances in membrane bioreactor technology for wastewater treatment in China

Since the introduction of the membrane bioreactor (MBR) in China in the early 1990s, remarkable progress has been achieved on the research and application of this technology. China has now become one of the most active fields in the world in this regard. This review outlines the development of MBR-based processes in China and their performance of treating municipal and industrial wastewaters. Since membrane fouling is a critical operational problem with MBR processes, this paper also proposes updated understanding of fouling mechanisms and strategies of fouling control, which are mainly compiled from publications of Chinese researchers. As for the commercial application of MBR in the country, the latest statistics of large-scale MBR plants (>10000 m³·d⁻¹) are provided, and the growth trend of total treatment capacity as well as its driving force is analyzed.     

多层复合材料的声学性能研究

材料分层复合是一种利用较少代价提高声学性能的有效方式,通过多孔性保温绝热材料与硬质黏弹性材料的优化组合,可以兼有隔声、吸声、阻燃和隔热等多项功能,同时符合相关环保要求。本文利用VAONE软件中NOVA模块研究了多种不同厚度分层材料的声学性能,并结合实验结果分析了主要参数对多层复合材料声学性能的影响。研究结果验证了NOVA模块预测多层材料声学性能的有效性,同时也表明多层材料经过优化设计可以具备良好的隔声性能。     

Phosphorus recovery from wastewater by struvite crystallization：Property of aggregates

Struvite crystallization is a promising method to remove and recover phosphorus from wastewater to ease both the scarcity of phosphorus rock resources and water eutrophication worldwide. To date, although various kinds of reactor systems have been developed, supporting methods are required to control the struvite fines flushing out of the reactors. As an intrinsic property, aggregation is normally disregarded in the struvite crystallization process, although it is the key factor in final particle size and therefore guarantees phosphorus recovery efficiency. The present study developed a method to analyze the characteristics of struvite aggregates using fractal geometry, and the influence of operational parameters on struvite aggregation was evaluated. Due to its typical orthorhombic molecular structure, struvite particles are prone to crystallize into needle or rod shapes, and aggregate at the corners or edges of crystals. The determined fractal dimension(Dpf) of struvite aggregates was 1.52–1.31, with the corresponding range of equivalent diameter(d0.5) at 295.9–85.4 μm. Aggregates formed in relatively low phosphorus concentrations(3.0–5.0 mmol/L) and mildly alkaline conditions(pH 9.0–9.5) displayed relatively compact structures, large aggregate sizes and high aggregation strength. Increasing pH values led to continuous decrease of aggregate sizes, while the variation of Dpfwas insignificant. As to the aggregate evolution, fast growth in a short time followed by a long steady stage was observed.     

钢渣中磁性矿物的赋存特性对分选效果的影响研究

对新余钢铁公司0～10 mm的细粒钢渣干式磁选分离所得到的产品进行扫描电镜检测、分析,找出了影响细粒钢渣干式磁选指标难以得到提高的原因,用于指导生产实践。研究结果表明:钢渣在干式磁选过程中,包裹有微细粒的金属铁或与金属铁连生的浮氏体以及具有一定磁性的铁酸盐容易进入磁性分离物中,这些物质自身铁品位较低,从而造成了磁性分离物中铁品位的降低。     

月相调制比在华东及安徽地区的研究与应用

对华东地区1970年以来5级以上地震的月相效应进行了分析,表明该区地震活动具有明显的月相效应;分别对华东、安徽地区1970年以来4.5级和4级以上地震的月相调制比进行分析研究,认为华东MS5.5级、安徽MS5.5级以上地震活动受月相调制作用显著,分别提出了华东地区MS≥5.5级及安徽地区MS≥5.0级地震发生前月相调制比的定量预测指标,它对这两个区域大震的发生具有中、短期预测意义.     

Critical Risk Indicators (CRIs) for the electric power grid: a survey and discussion of interconnected effects

The electric power grid is a critical societal resource connecting multiple infrastructural domains such as agriculture, transportation, and manufacturing. The electrical grid as an infrastructure is shaped by human activity and public policy in terms of demand and supply requirements. Further, the grid is subject to changes and stresses due to diverse factors including solar weather, climate, hydrology, and ecology. The emerging interconnected and complex network dependencies make such interactions increasingly dynamic, posing novel risks, and presenting new challenges to manage the coupled human–natural system. This paper provides a survey of models and methods that seek to explore the significant interconnected impact of the electric power grid and interdependent domains. We also provide relevant critical risk indicators (CRIs) across diverse domains that may be used to assess risks to electric grid reliability, including climate, ecology, hydrology, finance, space weather, and agriculture. We discuss the convergence of indicators from individual domains to explore possible systemic risk, i.e., holistic risk arising from cross-domain interconnections. Further, we propose a compositional approach to risk assessment that incorporates diverse domain expertise and information, data science, and computer science to identify domain-specific CRIs and their union in systemic risk indicators. Our study provides an important first step towards data-driven analysis and predictive modeling of risks in interconnected human–natural systems.