柱撑粘土材料的环境化学行为

柱撑粘土是一种新型的复合材料，国内外近年来进行了广泛和深入的，本文系统评述了国内外柱撑粘土复合材料的环境化学行为，吸附重金属离子，吸附苯酚类物质，吸附磷类物质，吸附废水中的COD，大气污染等方面，揭示该种新材料在各种污水处理中具有广阔的应用前景。     

不同填料人工湿地处理系统的净化能力研究

研究了沸石、沸石－石灰石、石灰石3种填料的人工湿导的净化能力。结果表明：（1）沸石和石灰石混合使用，不会降低沸石吸附氨氮的能力；（2）沸石可促使难溶性P的释放，使得石灰石吸附P被植物和微生物吸收利用；（3）沸石和石灰石发生了协同作用，对TN、TP的去除效果均好于其单独使用。     

常温酸性腐蚀对热障涂层性能的影响

采用酸性盐雾腐蚀试验对物理气相沉积法制备的热障涂层进行了常温腐蚀,研究了常温酸性盐雾腐蚀对热障涂层的微观形貌以及高温性能的影响.试验结果表明：常温酸性腐蚀使热障涂层表面变得粗糙不平,产生了较大的裂纹.经过150次高温循环氧化后,顶层氧化锆晶粒排列疏松,裂纹进一步扩展,中间层--粘结层氧化速度加快,生成了疏松的TGO层.TGO的体积膨胀效应使得陶瓷/粘结层界面结合力降低,缩短了涂层的使用寿命.     

水解酸化—厌氧工艺处理高浓度抗生素废水研究

研究了水解酸化与厌氧消化组合工艺处理高浓度抗生素废水,结果表明,水解酸化反应器最大CODcr容积负荷达到 16.84kg/m3·d,复合厌氧反应器CODcr容积负荷达到8.57kg/m3·d;系统进水SO42-浓度为1325mg/L,CODcr/SO42-值最低达到 3;CODCr与SO42-总去除率分别为75.5％和95.2％,对各种抑制物质和冲击负荷表现出很好的适应性。     

直链烷基苯磺酸盐促进剩余污泥产生短链脂肪酸的研究

采用批试试验的方法研究了十二烷基苯磺酸钠(C12-LAS)对剩余污泥在厌氧发酵过程中产生的短链脂肪酸(SCFAs)的影响.结果表明,C12-LAS的投加极大地提高了剩余污泥厌氧发酵过程中的SCFAs产量.当C12-LAS加入量低于0.1g·g-1时,SCFAs产量随着C12-LAS加入量的增加而增加,然而,当C12-LAS加入量高于0.1g·g-1时,SCFAs产量反而有所降低.从污泥产酸量以及经济成本考虑,C12-LAS的最佳投加量为0.02g·g-1,此时剩余污泥的SCFAs最大产量出现在第6天.进一步的研究表明,C12-LAS不仅促使大量的碳水化合物和蛋白质脱离污泥颗粒并溶解到液相中,而且抑制了产甲烷菌的活性.尽管剩余污泥经历着酸化过程,但由于其释放出大量的NH4 -N,污泥在整个厌氧发酵过程中的pH值逐渐升高.     

城市环境质量定量评价方法

文章基于对于城市环境质量的评价方法的研究,阐述了各类评价方法的优缺点,着重介绍了物元模型、投影寻踪评价法、神经网络、遗传算法优化神经网络四种定量评价方法,并介绍了各类方法在城市环境质量评价中的应用现状.     

蔬菜样品的H_2SO_4-H_2O_2快速消化方法

本文报道了使用硫酸 -过氧化氢对蔬菜样品进行快速消化的方法。其消化时间比常规消化方法大为缩短。重金属元素镉、铬、铜、镍、锌含量测定的结果 ,与用常规消化方法 (硝酸 -高氯酸 )相吻合。     

Recovery of heavy metals from electroplating sludge and stainless steel pickle waste liquid by ammonia leaching method

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约束求解的数据模型及算法

此文针对参数化造型系统中约束方程组的求解问题,深入分析了匹配求解的核心思想,提出了一种简单实用的约束网络建模方法,并且围绕该数据模型介绍了与其相关的算法.     

Total nitrogen and community turnover determine phosphorus use efficiency of phytoplankton along nutrient gradients in plateau lakes

Numerous studies support that biodiversity predict most to ecosystem functioning, but whether other factors display a more significant direct impact on ecosystem functioning than biodiversity remains to be studied. We investigated 398 samples of the phytoplankton phosphorus resource use efficiency (RUE_P = chlorophyll-a concentration/dissolved phosphate) across two seasons in nine plateau lakes in Yunnan Province, China. We identified the main contributors to phytoplankton RUE_P and analyzed their potential influences on RUE_P at different lake trophic states. The results showed that total nitrogen (TN) contributed the most to RUE_P among the nine lakes, whereas community turnover (measured as community dissimilarity) explained the most to RUE_P variation across the two seasons. Moreover, TN also influenced RUE_P by affecting biodiversity. Species richness (SR), functional attribute diversity (FAD2), and dendrogram-based functional diversity (FDc) were positively correlated with RUE_P in both seasons, while evenness was negatively correlated with RUE_P at the end of the rainy season. We also found that the effects of biodiversity and turnover on RUE_P depended on the lake trophic states. SR and FAD2 were positively correlated with RUE_P in all three trophic states. Evenness showed a negative correlation with RUE_P at the eutrophic and oligotrophic levels, but a positive correlation at the mesotrophic level. Turnover had a negative influence on RUE_P at the eutrophic level, but a positive influence at the mesotrophic and oligotrophic levels. Overall, our results suggested that multiple factors and nutrient states need to be considered when the ecosystem functioning predictors and the biodiversity-ecosystem functioning relationships are investigated.