海洋环境设备涂层老化和失效的影响因素研究

目的 研究海洋设备涂层老化和失效的影响因素。方法 选择现有海洋设备涂层进行户外暴露试验和实验室加速环境试验,分析防护涂层的失光度和色差变化规律。结果 在实验室条件下成功模拟了加速海洋环境中的涂料老化,加速试验结果与户外暴露结果相关性较高。在海洋自然环境下暴露6个月后,涂层失光率降低,暴露18个月后出现粉化。结论 利用紫外光老化和盐雾试验,设定合适的环境试验参数后,实验室加速环境试验可代替户外暴露试验,缩短试验周期。涂层的配套设计、涂敷的基材结构形状、涂层施工过程等因素可直接影响涂料的老化、失效,进而引起基体腐蚀。     

军用防腐涂料涂装的发展探讨

对国内外武器装备腐蚀控制的基本现状进行分析。论述了防腐涂料涂装技术在装备腐蚀控制中的重要作用。通过对美军腐蚀控制策略和在研军用防护涂层项目的分析．提出了军用防腐涂料涂装技术的发展方向。根据我国目前军用防护涂层的发展状况，提出我国发展军用防腐涂料涂装技术建议。     

船舶涂料海洋大气暴露与室内加速试验模拟性研究

通过两年海洋大气环境暴露试验、盐雾／紫外冷凝老化交替试验和氙灯老化试验。对比聚氨酯涂料、丙烯酸涂料涂层的色差和失光率,研究了3种试验对涂层表观性能的影响。发现紫外／冷凝老化加速试验对海洋大气暴露试验有很好的模拟性。     

南京冬季气溶胶光学特性及黑碳光吸收增强效应

2016年1月1~19日在南京北郊利用三波长光声黑碳光度仪(PASS-3)对气溶胶的光学性质进行了实时在线观测,同时结合气溶胶化学组成分析了黑碳气溶胶的光吸收增强效应.结果表明,观测期间气溶胶在532 nm下的吸收系数、散射系数、单散射反照率的平均值为(64.19±35.28)Mm-1、(454.68±238.71)Mm-1、0.87±0.03,受边界层高度及颗粒物浓度的影响,呈现出明显的日变化特征.黑碳气溶胶的质量吸收截面(MAC)在观测期间的变化趋势为前期低,后期高,与非EC组分相对EC比值的变化趋势一致,受不同污染条件下二次物质的占比及覆盖物厚度变化的影响.基于MAC计算得到的405、532、781nm下的光吸收增强(EMAC)平均值分别为1.53±0.56、1.34±0.47、1.14±0.40,随着波长增加而降低,存在棕色碳(Br C)的贡献.各非EC组分相对EC的比值与EMAC均有一定相关性,其中OC/EC与EMAC相关性最高,说明有机物的积累是导致黑碳光吸收增强的主要原因.K+/EC与EMAC的高相关性表明生物质燃烧过程对光吸收增强也有一定影响.     

涂料制造行业挥发性有机物排放成分谱及影响

采用不锈钢采样罐对华东地区8家涂料制造企业生产车间排口进行采集,运用气相色谱-质谱联用技术（GC-MS）测定了106种VOCs组分,识别了VOCs排放特征,建立了溶剂型涂料和水性涂料VOCs排放成分谱,分析了VOCs对臭氧生成的贡献.结果表明,涂料制造行业VOCs特征组分主要为芳香烃和含氧烃,两者浓度范围在65.5%~99.9%,溶剂型涂料VOCs排放主要以芳香烃为主,占总VOCs的63.0%~94.0%;水性涂料VOCs排放主要以含氧烃为主,占总VOCs的54.5%~99.9%.间/对-二甲苯（32.4%）、乙苯（19.0%）和乙酸乙酯（12.1%）为溶剂型涂料源排放特征,乙酸乙酯（83.7%）与2-丁酮（8.0%）为水性涂料源排放特征.芳香烃和含氧烃是涂料制造行业的主要活性组分,对臭氧生成潜势（OFP）的总贡献率在92.9%~99.9%之间.源反应活性分析（SR）表明,水性涂料单位质量VOCs对臭氧的生成贡献低于溶剂型涂料,因此可显著降低臭氧的生成潜势.研究显示,针对涂料制造行业VOCs污染治理,应重点关注芳香烃和含氧烃中对臭氧生成潜势贡献较大的VOCs组分,进行源头和精细化控制.     

Al/BN封严涂层在盐雾环境中的腐蚀性能及表面特征研究

目的 研究Al/BN封严涂层在海洋环境下的腐蚀历程。方法 使用扫描电镜(SEM)、X射线衍射(XRD)、电化学等测试方法,对Al/BN封严涂层在盐雾环境中的腐蚀行为、形貌、显微结构、相组成及耐腐蚀等性能进行研究,分析Al/BN封严涂层在盐雾试验中的电化学腐蚀过程。结果 在96 h盐雾试验中,Al/BN封严涂层的腐蚀过程分为2个阶段,分别为孔蚀形成期和孔蚀发展期。在前72 h的盐雾腐蚀时间里,Al/BN封严涂层的腐蚀产物对于孔洞的堵塞越来越严重,自腐蚀电流密度也处于下降状态,表明Al/BN封严涂层的腐蚀产物有效地阻止了腐蚀速度的加剧。在第2阶段,阻抗值有所下降,是因为腐蚀产物龟裂或孔洞内局部酸化造成。结论 Al/BN涂层的腐蚀产物对Al/BN封严涂层的自腐蚀速率有比较大的影响。     

新型防腐涂层对直升机典型结构材料防护性能研究

目的研究新型防腐涂层对直升机典型结构用铝合金及复合材料在热带海洋性气候环境下的防护性能,并与原防护涂层进行对比。方法通过测试涂层腐蚀后的形貌、光泽度、色差、电化学阻抗等,对比新/原涂层对直升机典型结构用铝合金和复合材料的防护性能。结果经过2年腐蚀后,新涂层表面无明显变化,而原涂层表面有轻微腐蚀,光泽度和色差下降较大。电化学阻抗测试表明,暴露前后涂层结构无明显变化,涂层阻抗值呈现持续下降的趋势,但是原涂层阻抗下降更快。结论新涂层对直升机典型铝合金和复合材料有更好的防护性,更加适于海洋性环境的使用。     

Non-UV based germicidal activity of metal-doped TiO2 coating on solid surfaces

A stain-based screening method was developed to screen different catalyst coatings for their germicidal activity. A Baclight dead/live bacteria viability kit （invitrogen, molecular probes） was used for staining the cell. The screening was carried out following a standard procedure. This included loading cell suspension to solid surface and maintaining contact for 30 min, then staining with a mixture containing dyes. The stained cells were observed using an epifluorescent microscope and photographed with a CCD camera under UV. Metal-doped TiO2 coatings on AI plates were prepared and tested for non-UV germicidal activity without using UV. It was tested using model microorganisms such as Bakers Yeast （Saccharomyces cerevisiae）, Bacillus subtilis, Pseudomonas putida, and Escherichia coli. On the basis of the germicidal activity of catalyst and the degree of damage caused to the cells, the stained cells may appear green （viable）, green with red or yellow nuclei and yellow （compromised） or red （nonviable）. According to their stained color, cells were counted to calculate the percentage of dead, live, and compromised cells. Compromised cells are cells that grow very slowly after reculturing indicating a degree of reversible cell damage. Screening the germicidal activity using this staining method is accurate and efficient, and requires less time than the culture-based method. A modification to the procedure for measuring germicidal activity of rough surfaces or fibrous coatings was developed. Both TiO2 and metal-doped TiO2 （Ag, Pt, Au, Cu） possess non-UV based germicidal activity. The germicidal activity of TiO2 was found to be related with its wetting property and can be improved by UV irradiation before testing. It is not greatly affected by contact time, indicating a fast acting germicidal activity.     

基于机器学习分类算法解析EIS数据的有机涂层性能评价方法

目的 基于机器学习分类算法快速评估有机涂层的防腐性能。方法 通过实验室加速试验模拟涂层真实的退化过程,并根据测得的电化学数据,分析不同退化阶段的等效电路元件参数。随后,采用随机抽样方法获取大量数据,用于机器学习模型训练。通过对比支持向量机(SVM)、k最近邻(k-NN)和随机森林(RF)3种不同的机器学习算法,以及多种输入特征集训练的涂层性能分类器模型的准确率,分析最适合用于涂层性能快速评估的机器学习算法和电化学特征。结果 根据不同输入特征训练的k-NN和RF模型均表现出良好的预测效果,而SVM模型的预测效果相对较差。根据不同频率范围训练的分类器模型中,在低频区表现最佳,而在高频区表现较差。结论 基于阻抗虚部、虚部+实部和阻抗模值3种输入特征训练的RF分类器模型的预测效果最准确。不同频率区间内,低频区的阻抗特征更能准确表征涂层性能。     

A method to estimate pre-exploitation population size

Antarctic fur seals (Arctocephalus gazella) were commercially exploited on the subantarctic island of South Georgia for over 100 years and nearly driven to extinction. Since the cessation of harvesting, however, their populations have rebounded, and they are now often considered a nuisance species whose impact on the terrestrial landscape should be mitigated. Any evaluation of their current population requires the context provided by their historic, pre-exploitation abundance, lest ecologists fall prey to shifting baseline syndrome in which their perspective on current abundance is compared only with an altered state resulting from past anthropogenic disturbance. Estimating pre-exploitation abundance is critical to defining species recovery and setting recovery targets, both of which are needed for the International Union for the Conservation of Nature's recent efforts to develop a green list of recovering species. To address this issue, we reconstructed the South Georgia fur seal harvest from 1786 to 1908 from ship logbooks and other historical records and interpolated missing harvest data as necessary with a generalized linear model fit to the historical record. Using an approximate Bayesian computation framework, harvest data, and a stochastic age-structured population model, we estimated the pre-exploitation abundance of Antarctic fur seals on South Georgia was 2.5 million females (95% CI 1.5–3.5 million). This estimate is similar to recent abundance estimates, and suggests current populations, and the ecological consequences of so many fur seals on the island, may be similar to conditions prior to human harvest. Although the historic archive on the fur sealing era is unavoidably patchy, the use of archival records is essential for reconstructing the past and, correspondingly, to understanding the present. Article impact statement: Defining species recovery requires an understanding of baseline population state, which can be estimated through statistical methods.