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51.
人工神经网络在预测深基坑周边地表沉降变形中的应用研究 总被引:1,自引:0,他引:1
深基坑开挖引起的周边地表变形预测是一个复杂非线性问题,引起地表沉降的影响因素很多,各因素之间呈高度的非线性关系。传统的基坑用边地表沉降变形预测方法存在着一定的局限性,其预测精度有待提高,而人工神经网络是一种多元非线性动力学系统,可以灵活方便地对多成因的复杂未知系统进行高度建模,实现全面考虑各种主要影响因素的深基坑周边地表沉降变形预测。本文介绍了误差反向传播(BP)网络模型的结构、学习过程及其算法的改进,径向基函数(RBF)网络模型的结构及其学习过程;分析了影响深基坑开挖周边土体沉降变形的主要影响因素;以25个基坑工程的地表沉降实测资料为训练样本,建立了11个输入影响因素的BP神经网络模型和RBF神经网络模型,通过对样本的学习训练过程及对5个检验样本的预测精度,说明了人工神经网络用于预测基坑周边地表沉降的可行性和准确性。 相似文献
52.
通过细菌表面展示功能基因InaXN、猴金属硫蛋白α亚基四聚体MT4α和两种启动子PnifH及Plac元件,分别构建两个重组质粒pTNIM和pBLIM.进一步通过三亲本杂交,将重组质粒分别导入费氏中华根瘤菌HN01,分别构建获得诱导表达型重组菌HN01(pTNIM)和组成表达型重组菌HN01(pBLIM).在培养条件下比较测定重组菌和出发菌对镉的吸附能力和耐受性,结果表明,组成表达型重组菌HN01(pBLIM)在上述两个方面的能力得到明显增强,对镉的吸附富集能力提高了2倍.研究还发现重组根瘤菌也具有很好的静态吸附效果.盆栽实验结果表明,接种诱导表达型重组菌HN01(pTNIM)的大豆根瘤和根中Cd2+的富集量均明显高于野生菌株HN01.本实验为后续探索重组根瘤菌与宿主植物共生体系在Cd2+污染土壤修复中的应用前景奠定了基础. 相似文献
53.
人工甜味剂环境行为研究进展 总被引:2,自引:0,他引:2
人工甜味剂是一类人工合成或半合成的蔗糖取代物,由于人们对饮食健康的关注而被越来越广泛地应用于食品和饮料中.但是大多数人工甜味剂在人体内几乎不被代谢就随尿液和粪便直接排到生活污水中.近年,几种典型的甜味剂在水体中广泛被检出且浓度较高,同时研究发现部分甜味剂难以降解,因此人工甜味剂已被视为新型有机污染物而得到关注.本文就人工甜味剂在水处理设施中的行为及其在环境来源和分布的相关研究进行了综述,总结了水处理设施和水环境中甜味剂的污染特征规律,并对今后的研究进行了展望. 相似文献
54.
Soils from two typical tidal salt marshes with varied salinity in the Yellow River Delta wetland were analysed to determine possible effects of salinity on soil carbon sequestration through changes in soil microbiology. The mean soil respiration (SR) of the salt water–fresh water mixing zone (MZ) was 2.89 times higher than that of the coastal zone (CZ) (4.73 and 1.63?μmol?m?2?s?1, respectively, p?.05), and soil dehydrogenase activity was the main microbial factor influencing SR. In addition to the higher soil microbial biomass, the MZ had more β-Proteobacteria than the CZ, as well as some specific bacteria with strong heterotrophic metabolic activity such as Pseudomonas sp. and Limnobacter sp. that might have led to its higher dehydrogenase activity and respiratory rates. Additionally, the CZ possessed more Halobacteria and Thaumarchaeota with the ability to fix CO2 than the MZ. Significantly lower soil salinity in MZ (4.25?g?kg?1) was suitable for β-Proteobacteria, but detrimental for Halobacteria compared with CZ (7.09?g?kg?1, p?.01), which might lead to the lower microbial decomposition capacity of soils in CZ. As a result, the CZ has a higher soil organic carbon content than the MZ. 相似文献
55.
Hydrophobic acid organic matter (HpoA) extracted from treated effluent has been known to improve the rejection of steroid hormone estrone by reverse osmosis (RO) and nanofiltration (NF) membranes. In this study, the effects of solution chemistry (solution pH and ionic strength) on the estrone rejection by NF membrane with the presence of HpoA were systematically investigated. Crossflow nanofiltration experiments show that the presence of HpoA significantly improved estrone rejection at all pH and ionic strength levels investigated. It is consistently shown that the “enhancement effect” of HpoA on estrone rejection at neutral and alkaline pH is attributed to the binding of estrone by HpoA macromolecules via hydrogen bonding between phenolic functional groups in feed solutions, which leads to an increase in molecular weight and appearance of negative charge. The membrane exhibited the best performance in terms of estrone rejection at pH 10.4 (compared to pH 4 and pH 7) as a result of strengthening the electrostatic repulsion between estrone and membrane with the presence of HpoA. At neutral pH level, the ability of HpoA macromolecules to promote estrone rejection became stronger with increasing ionic strength due to their more extended conformation, which created more chances for the association between estrone and HpoA. The important conclusion of this study is that increasing solution pH and salinity can greatly intensify the “enhancement effect” of HpoA. These results can be important for NF application in direct/indirect potable water reuse. 相似文献
56.
响应曲面法优化絮凝处理木薯淀粉废水 总被引:4,自引:1,他引:4
采用中心复合实验设计和响应面分析法研究复合絮凝剂聚合氯化铝锌(PAZC)和聚合氯化铝(PAC)混凝处理木薯淀粉废水,进行设计和分析,以溶液pH值和絮凝剂用量为考察因素,分别以COD、浊度去除率为考察指标,选用最佳优化数学模型描述考察指标和考察因素之间的数学关系,并以设定PAZC和PAC对COD去除率(65%),浊度去除率(90%)和SS去除率(90%)的目标值,通过等高线叠加图预测最优实验条件,得到PAZC投量为6.5 mg/L,pH为7.7时,COD去除率和浊度去除率分别达到最大为76.6%和99.9%;PAC投量为19.2 mg/L,pH为7.8时,COD去除率和浊度去除率最大值分别为64.4%和97.1%。经对最优条件进行验证,预测值与验证实验平均值接近。 相似文献
57.
58.
An overview of the methods used in the characterisation of natural organic matter (NOM) in relation to drinking water treatment 总被引:9,自引:0,他引:9
Matilainen A Gjessing ET Lahtinen T Hed L Bhatnagar A Sillanpää M 《Chemosphere》2011,83(11):1431-1442
Natural organic matter (NOM) is found in all surface, ground and soil waters. During recent decades, reports worldwide show a continuing increase in the color and NOM of the surface water, which has an adverse affect on drinking water purification. For several practical and hygienic reasons, the presence of NOM is undesirable in drinking water. Various technologies have been proposed for NOM removal with varying degrees of success. The properties and amount of NOM, however, can significantly affect the process efficiency. In order to improve and optimise these processes, the characterisation and quantification of NOM at different purification and treatment processes stages is important. It is also important to be able to understand and predict the reactivity of NOM or its fractions in different steps of the treatment. Methods used in the characterisation of NOM include resin adsorption, size exclusion chromatography (SEC), nuclear magnetic resonance (NMR) spectroscopy, and fluorescence spectroscopy. The amount of NOM in water has been predicted with parameters including UV-Vis, total organic carbon (TOC), and specific UV-absorbance (SUVA). Recently, methods by which NOM structures can be more precisely determined have been developed; pyrolysis gas chromatography-mass spectrometry (Py-GC-MS), multidimensional NMR techniques, and Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). The present review focuses on the methods used for characterisation and quantification of NOM in relation to drinking water treatment. 相似文献
59.
模拟煤灰渣垂直潜流人工湿地的除磷性能分析 总被引:10,自引:0,他引:10
为确定煤灰渣作为垂直潜流人工湿地基质的可行性,通过静态吸附实验和煤灰渣去除生活污水中的磷素实验,表明煤灰渣对污水中磷素的吸附平衡时间较短,吸附速率较快.当温度降低时,煤灰渣的磷素吸附容量对吸附平衡浓度依赖性和吸附强度随之降低,最大理论吸附容量亦降低 83.10% .在处理0.5 m 3 /(m2·d)的生活污水中,煤灰渣对TP的平均去除率达86.03%,吸附方式包括物理吸附和化学吸附,同时得出煤灰渣最大磷素解析量占最大理论吸附容量的0.73%,在实际人工湿地应用中应注意磷素解析而形成的二次污染. 相似文献
60.