电活化硫酸盐处理四环素类废水的研究

本文构建以掺硼金刚石(Boron-doped diamond,BDD)为阳极、不锈钢为阴极、硫酸盐为电解质的电化学体系,考察了电流密度、pH值、硫酸盐浓度以及初始四环素浓度等四个因素对电化学氧化降解废水中四环素的影响,运用响应曲面法对运行参数进行优化;通过电子自旋共振检测技术分析电化学反应中产生的自由基,探究了间歇通电模式下电化学体系持续氧化机理。结果表明,四个因素对TOC去除率的影响大小次序为:电流密度>初始四环素浓度>初始pH值>硫酸盐浓度,其中初始pH值和硫酸盐浓度与电流密度和初始四环素浓度的交互作用对TOC去除率的影响较为显著;最佳运行参数为pH值为5,电流密度为100 mA·cm^-2,硫酸盐浓度为0.25 mol·L^-1,初始四环素浓度为1000 mg·L^-1;间歇通电模式下,BDD电极表面产生的SO₄^·-等高活性物质间相互转化提供了体系的可持续氧化能力。该研究结果为电化学氧化技术的实际应用提供了节省能耗的有效途径。     

新型半潜式海上风力机基础水动力特性研究

概念性地设计了一种新型半潜式海上风力机基础,确定了结构的型式和尺寸,对风浪联合作用下不同工况的风力机基础稳性进行了校核.考虑黏性阻尼和二阶波浪力的作用,计算分析了风力机基础的水动力系数、幅频运动以及动力响应特性.结果表明,经过改进的新型风力机基础具有良好的稳性和水动力性能,特别是在垂荡性能上有大幅的提升.波浪入射角度对垂荡的影响不大,但对其他自由度RAOs影响较大.垂荡、横摇和纵摇RAOs均存在一个主峰值和次峰值,但峰值周期均远离波能集中区.此外还发现,不同工况下风浪入射角对风机系统的动力响应和系泊力均有较大影响,相对于工作工况,极端工况下所受风荷载较小,但是系泊力更大.     

Effects of Pseudoalteromonas sp. BC228 on digestive enzyme activity and immune response of juvenile sea cucumber (Apostichopus japonicus)

A marine bacterium, Pseudoalteromonas sp. BC228 was supplemented to feed in a feeding experiment aiming to determine its ability of enhancing the digestive enzyme activity and immune response of juvenile Apostichopus japonicus. Sea cucumber individuals were fed with the diets containing 0(control), 105, 107 and 109 CFU g-1 diet of BC228 for 45 days. Results showed that intestinal trypsin and lipase activities were significantly enhanced by 107 and 109 CFU g-1 diet of BC228 in comparison with control(P 0.01). The phagocytic activity in the coelomocytes of sea cucumber fed the diet supplemented with 107 CFU g-1 diet of BC228 was significantly higher than that of those fed control diet(P 0.05). In addition, 105 and 107 CFU g-1 diet of BC228 significantly enhanced lysozyme and phenoloxidase activities in the coelomic fluid of sea cucumber, respectively, in comparison with other diets(P 0.01). Sea cucumbers, 10 each diet, were challenged with Vibrio splendidus NB13 after 45 days of feeding. It was found that the cumulative incidence and mortality of sea cucumber fed with BC228 containing diets were lower than those of animals fed control diet. Our findings evidenced that BC228 supplemented in diets improved the digestive enzyme activity of juvenile sea cucumber, stimulated its immune response and enhanced its resistance to the infection of V. splendidus.     

汶泗河冲洪积扇松散层现场热响应试验数据分析及应用——以兖州市南郊试验场为例

现场热响应试验是获取岩土体热物性参数的主要方法之一,可为试验场区地源热泵工程地埋管换热器类型及长度的选择,浅层地热能评价和开发利用提供基础数据。该文系统介绍了现场热响应试验的目地任务、试验装置、原理、内容和步骤,数据处理方法,并以位于汶泗河冲洪积扇中上流地区的兖州市南郊试验场松散层现场热响应试验为例,介绍了试验场区水文地质条件,试验过程、试验数据分析及应用。     

地震勘探技术在内蒙古自治区四子王旗德日存呼都格矿区的应用

地震勘探技术以其成本低、效率高的优势在煤田勘探中被广泛的应用。内蒙古自治区四子王旗德日存呼都格矿区采用地震勘探技术,在解释煤层、构造等方面取得了良好的效果,给煤矿的开采设计施工提供了参考依据,为煤炭勘查做出了重要贡献。     

松辽盆地深层断陷沙河子组烃源岩分布预测与生气潜力

松辽盆地下白垩统沙河子组是深层断陷的主要烃源岩发育层系,目前钻井揭示其厚度大（＞700 m）,埋藏深（＞3500 m）,但钻井大都分布于深层断陷的边部,断陷内部烃源岩层揭示少。根据断陷结构样式及地震反射特征,总结出单断箕状断陷和双断地堑式断陷两种沙河子组烃源岩发育模式,并确定深层烃源岩主要有五种存在形式。断陷中部席状平行结构、成层性、连续性好的地震反射特征的烃源岩最为落实,主要为深湖-半深湖相,暗色泥岩厚度大,暗地比高（45％～70％）。深层沙河子组烃源岩总生气量约148.38×1012 m3,天然气资源潜力巨大。     

福建三明马尾松树轮宽度对气候变化的响应

运用树木年代学的基本原理和方法,研究三明地区马尾松(Pinus massiniana)径向生长对气候要素的响应。结果表明:夏季温度限制着马尾松的径向生长,年轮宽度与上一年和当年7—8月平均气温均呈显著负相关(P0.01);马尾松的径向生长受到降水和湿度的影响较大,与上一年1—3月降水量和2—3月平均相对湿度显著负相关(P0.01),与当年6—11月平均降水量和7—8月相对湿度显著正相关(P0.01);同时宽度年表与上一年2—3月太阳日照时数显著正相关(P0.01);另外,宽度年表与6—11月PDSI显著正相关(P0.05),生长季的干旱胁迫抑制了马尾松的生长。研究说明本地区限制马尾松树木生长的因素较多,1年中不同时期限制马尾松径向生长的气候因子不同。     

沙拐枣属(Calligonum L.)植物物候对长期气温变化的响应

由新疆维吾尔自治区气象信息中心提供的1977—2006年吐鲁番气象资料统计得知:近29年气候有变暖趋势,线性变暖速率为每10年0.72℃,29年来吐鲁番地区年平均气温共上升2.06℃。结合吐鲁番沙漠植物园沙拐枣属植物的物候观测积累资料,分析了4个组的芽膨胀、开始展叶、同化枝开始变色、同化枝初落的时间变化趋势及其与温度变化的响应关系。结果表明:(1)1977年以来,沙拐枣属(Calligonum L.)植物刺果组(Sect.Medusa Sosk.et Alexandr)物候期最晚;同化枝开始变色为泡果组(Sect.Calliphysa(Fisch.et Mey.)Borszcz)晚于翅果组;其他3种物候期中,泡果组物候期最早,基翅组(Sect.Calligonum)和翅果组(Sect.Pterococcus(Pall.)Borszcz)均居中。4个组的芽膨胀和开始展叶时间大部分呈提前趋势,同化枝开始变色和同化枝初落时间呈推后趋势。(2)4个组的芽膨胀与年平均气温、春季气温呈显著负相关(p0.05)。年平均气温每升高1℃,泡果组、刺果组、基翅组、翅果组的芽膨胀时间分别提前4.5d、4.3d、4.1d、8.3d;同化枝开始变色和同化枝初落时间变化不明显。芽膨胀对温度变化的响应程度显著大于同化枝开始变色和同化枝初落。     

Modeling and representation for earthquake emergency response knowledge: perspective for working with geo-ontology

Earthquake emergency response is one of the three earthquake disaster mitigation work systems in China, already achieving good results in some earthquake disaster mitigation situations. Earthquake emergency plans and emergency command systems are among the most important research and operations components of emergency response. These components commonly come with challenges, such as the pertinence of emergency commands and the operability of the countermeasures to be improved. The promise for solving this problem resides with applying knowledge that aids intelligence creation for decision-making. In this paper, we put forward a conceptual model of knowledge for earthquake disaster emergency response (EDER); compositions of EDER knowledge are introduced within architecture. A modeling method incorporating geo-ontology is used to build basic modeling primitives. Geo-ontology serves to represent geospatial characteristics of the EDER knowledge and addresses a need for semantic interoperability in the modeling process. A decision problem framework and a case study have been used as theoretical framework and an application test, respectively, to evaluate the EDER knowledge architecture and models. The EDER knowledge model provides a foundation for intelligent emergency response that helps solve knowledge problems to improve earthquake disaster response.     

Airborne near-real-time monitoring of assembly and parking areas in case of large-scale public events and natural disasters

A critical requirement for an effective and coordinated response by public entities tasked with management, security, and relief during large-scale public events or natural disasters is the availability of current situational information. However, today there is a lack of comprehensive operational systems allowing a near-real-time (NRT) collection, visualization, and provision of situational information for larger areas. In this study a methodological framework is proposed, which allows an NRT extraction and visualization of situational information based on aerial image acquisition. The framework combines digital image analysis using a generic supervised information extraction approach based on statistical modeling with a downstream web-based visualization component realized through an automatic update of web services. Even though being applicable for different scenarios, the workflow will be demonstrated for the specific use-case of a NRT monitoring of open spaces including assembly and parking areas. Compared to other approaches, image analysis results indicate a high robustness and a low demand for computational power sources (7 seconds per image). Due to a high degree of automation, the proposed workflow contributes to a NRT ‘end-to-end’ monitoring system, which was developed within the VABENE (German acronym for ‘traffic management under large-scale public events and disaster conditions’) project covering all parts from the acquisition of raw aerial imagery to the dissemination of information products to end-users.