Remodeled clay and sand rock specimens were prepared by designing lateral confinement and water drainage experiments based on the stress exerted on granular materials in a waste dump.An in situ test was conducted in a...Remodeled clay and sand rock specimens were prepared by designing lateral confinement and water drainage experiments based on the stress exerted on granular materials in a waste dump.An in situ test was conducted in an internal waste dump;the physical and mechanical parameters of the remodeled rock mass dumped at different time and depths were measured.Based on statistics,regression analysis was performed with regard to the shearing stress parameters acquired from the two tests.Other factors,such as remodeling pressure(burial depth),remodeling time(amount of time since waste was dumped),and the corresponding functional relationship,were determined.Analysis indicates that the cohesion of the remodeled clay and its remodeling pressure are correlated by a quadratic function but are not correlated with remodeling time length.In situ experimental results indicate that the shear strength of reshaped granular materials in the internal dump is positively correlated with burial depth but poorly correlated with time length.Cohesion Cand burial depth H follow a quadratic function,specifically for a short time since waste has been dumped.As revealed by both in situ and laboratory experiments,the remodeling strength of granular materials varies in a certain pattern.The consistency of such materials verifies the reliability of the remodeling experimental program.展开更多
现有的时间序列对比学习方法存在增强样本构造方式过于依赖人工经验、泛化能力不足、正样本的定义方式不够通用、对比度量方式存在粗粒度表征等问题,使得整体的时序表示效果较差。为此,提出了一种融合时频特征的多粒度时间序列对比学习...现有的时间序列对比学习方法存在增强样本构造方式过于依赖人工经验、泛化能力不足、正样本的定义方式不够通用、对比度量方式存在粗粒度表征等问题,使得整体的时序表示效果较差。为此,提出了一种融合时频特征的多粒度时间序列对比学习方法(Temporal-Spectral Deep Contrastive Network, TSDC)。该方法通过季节-趋势生成网络在时域内产生具有稳定变化的时序增强样本,通过多频带融合扰动操作在频域内产生非稳定变化的时序增强样本,两种增强样本通过实例级别的粗粒度对比以及维度级别的细粒度对比方式进行对比学习,使得模型在获得较好表征的同时能够较好地适应于下游不同类型的时序任务。在多个时间序列公开数据集上进行的分类、预测以及异常检测实验表明,由TSDC方法所得的表征用于下游任务的结果优于典型基线模型。展开更多
A lab-scale sequencing batch reactor （SBR） was set-up and the aerobic granular sludge was successfully incubated using anaerobic granular sludge as seed sludge. Nitrogen was partially removed by simultaneous nitrifi...A lab-scale sequencing batch reactor （SBR） was set-up and the aerobic granular sludge was successfully incubated using anaerobic granular sludge as seed sludge. Nitrogen was partially removed by simultaneous nitrification and denitrification （SND） via nitrite with free ammonia （FA） of about 10 mg/L. The denaturing gradient gel electrophoresis （DGGE） method was used to investigate community structure of α-Proteobacteria, β-Proteobacteria, ammonia oxidizing bacteria （AOB）, and Nitrospira populations during start-up. The population sizes of bacteria, AOB and Nitrospira were examined using real-time PCR method. The analysis of community structure and Shannon index showed that stable structure of AOB population was obtained at day 35, while the communities of α- Proteobacteria, β-Proteobacteria, and Nitrospira became stable after day 45. At stable stage, the average cell densities were 1.1× 10^12, 2.2×10^10 and 1.0×10^10 cells/L for bacteria, AOB and Nitrospira, respectively. The relationship between characteristics of nitrifying bacteria community and nitrogenous substrate utilization constant was discussed by calculating Pearson correlation. Certain correlation seemed to exist between population size, biodiversity, and degradation constant. And the influence of population size might be greater than that of biodiversity.展开更多
To characterize the effects of pentachlorophenol (PCP) on the performance and microbial community of aerobic granular sludge in sequencing batch reactor (SBR), the web-based terminal restriction fragment length polymo...To characterize the effects of pentachlorophenol (PCP) on the performance and microbial community of aerobic granular sludge in sequencing batch reactor (SBR), the web-based terminal restriction fragment length polymorphism (T-RFLP) and real-time PCR (RT- PCR) techniques were used to explore the bacterial community structure. When PCP increased from 0 to 50 mg/L, the COD removal rate changed little, while the ammonia removal rate dropped from 100% to 64.9%. The results of molecular characterization showed t...展开更多
地面沉降是全球公认的重要灾害,不同受灾区域的地面沉降处于不同发展阶段,准确地认识地面沉降的发展是防治地面沉降灾害的关键。针对地面沉降各发展阶段的不同特征,提出了一种自适应聚类算法(improved adaptive density peak clustering...地面沉降是全球公认的重要灾害,不同受灾区域的地面沉降处于不同发展阶段,准确地认识地面沉降的发展是防治地面沉降灾害的关键。针对地面沉降各发展阶段的不同特征,提出了一种自适应聚类算法(improved adaptive density peak clustering algorithm based on K-nearest neighbors,简称IADPC-KNN),结合粒模型理论,归纳总结了地面沉降发展模式及其映射规律。首先,采用动态时间弯曲方法(dynamic time warping,简称DTW)作为数据间的距离度量,将IADPC-KNN与其他5种聚类算法,在7个公开的数据集进行测试,结果表明IADPC-KNN具有较高精度及较好鲁棒性。其次,收集全球14个受灾区域的地面沉降监测数据,经过数据处理、序列提取、聚类分析、粒模型构建、规则归纳等步骤,得到4类地面沉降模式及其映射关系。最后,采用某地2017―2019年的监测数据进行验证,结果表明该地2018年以后的地面沉降模式有0.3592的概率属于模式4,与实际沉降发展较吻合。该研究成果可为地面沉降灾害的预测与防控提供理论参考。展开更多
基金Project(2014XT01)supported by Research Funds for the Central Universities,ChinaProject(51034005)supported by the National Natural Science Foundation of China+1 种基金Project(2012AA062004)supported by High-Tech Research and Development Program of China(863 Program)Project(NCET-13-1022)supported by the Program for New Century Excellent Talents in University,China
文摘Remodeled clay and sand rock specimens were prepared by designing lateral confinement and water drainage experiments based on the stress exerted on granular materials in a waste dump.An in situ test was conducted in an internal waste dump;the physical and mechanical parameters of the remodeled rock mass dumped at different time and depths were measured.Based on statistics,regression analysis was performed with regard to the shearing stress parameters acquired from the two tests.Other factors,such as remodeling pressure(burial depth),remodeling time(amount of time since waste was dumped),and the corresponding functional relationship,were determined.Analysis indicates that the cohesion of the remodeled clay and its remodeling pressure are correlated by a quadratic function but are not correlated with remodeling time length.In situ experimental results indicate that the shear strength of reshaped granular materials in the internal dump is positively correlated with burial depth but poorly correlated with time length.Cohesion Cand burial depth H follow a quadratic function,specifically for a short time since waste has been dumped.As revealed by both in situ and laboratory experiments,the remodeling strength of granular materials varies in a certain pattern.The consistency of such materials verifies the reliability of the remodeling experimental program.
文摘现有的时间序列对比学习方法存在增强样本构造方式过于依赖人工经验、泛化能力不足、正样本的定义方式不够通用、对比度量方式存在粗粒度表征等问题,使得整体的时序表示效果较差。为此,提出了一种融合时频特征的多粒度时间序列对比学习方法(Temporal-Spectral Deep Contrastive Network, TSDC)。该方法通过季节-趋势生成网络在时域内产生具有稳定变化的时序增强样本,通过多频带融合扰动操作在频域内产生非稳定变化的时序增强样本,两种增强样本通过实例级别的粗粒度对比以及维度级别的细粒度对比方式进行对比学习,使得模型在获得较好表征的同时能够较好地适应于下游不同类型的时序任务。在多个时间序列公开数据集上进行的分类、预测以及异常检测实验表明,由TSDC方法所得的表征用于下游任务的结果优于典型基线模型。
基金Project supported by the New Century Excellent Talent Scholarship of China(No.NCET-05-0387)the Doctodal Unit Scholarship of China(No.20050247016).
文摘A lab-scale sequencing batch reactor （SBR） was set-up and the aerobic granular sludge was successfully incubated using anaerobic granular sludge as seed sludge. Nitrogen was partially removed by simultaneous nitrification and denitrification （SND） via nitrite with free ammonia （FA） of about 10 mg/L. The denaturing gradient gel electrophoresis （DGGE） method was used to investigate community structure of α-Proteobacteria, β-Proteobacteria, ammonia oxidizing bacteria （AOB）, and Nitrospira populations during start-up. The population sizes of bacteria, AOB and Nitrospira were examined using real-time PCR method. The analysis of community structure and Shannon index showed that stable structure of AOB population was obtained at day 35, while the communities of α- Proteobacteria, β-Proteobacteria, and Nitrospira became stable after day 45. At stable stage, the average cell densities were 1.1× 10^12, 2.2×10^10 and 1.0×10^10 cells/L for bacteria, AOB and Nitrospira, respectively. The relationship between characteristics of nitrifying bacteria community and nitrogenous substrate utilization constant was discussed by calculating Pearson correlation. Certain correlation seemed to exist between population size, biodiversity, and degradation constant. And the influence of population size might be greater than that of biodiversity.
基金the Science Foundation ofJiangsu Province, China (No. BK2005402)the Nation-al Natural Science Foundation of China (No. 30640018)
文摘To characterize the effects of pentachlorophenol (PCP) on the performance and microbial community of aerobic granular sludge in sequencing batch reactor (SBR), the web-based terminal restriction fragment length polymorphism (T-RFLP) and real-time PCR (RT- PCR) techniques were used to explore the bacterial community structure. When PCP increased from 0 to 50 mg/L, the COD removal rate changed little, while the ammonia removal rate dropped from 100% to 64.9%. The results of molecular characterization showed t...
文摘地面沉降是全球公认的重要灾害,不同受灾区域的地面沉降处于不同发展阶段,准确地认识地面沉降的发展是防治地面沉降灾害的关键。针对地面沉降各发展阶段的不同特征,提出了一种自适应聚类算法(improved adaptive density peak clustering algorithm based on K-nearest neighbors,简称IADPC-KNN),结合粒模型理论,归纳总结了地面沉降发展模式及其映射规律。首先,采用动态时间弯曲方法(dynamic time warping,简称DTW)作为数据间的距离度量,将IADPC-KNN与其他5种聚类算法,在7个公开的数据集进行测试,结果表明IADPC-KNN具有较高精度及较好鲁棒性。其次,收集全球14个受灾区域的地面沉降监测数据,经过数据处理、序列提取、聚类分析、粒模型构建、规则归纳等步骤,得到4类地面沉降模式及其映射关系。最后,采用某地2017―2019年的监测数据进行验证,结果表明该地2018年以后的地面沉降模式有0.3592的概率属于模式4,与实际沉降发展较吻合。该研究成果可为地面沉降灾害的预测与防控提供理论参考。
