Evaluation of Inference Adequacy in Cumulative Logistic Regression Models: An Empirical Validation of ISWRidge Relationships

Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p 〈0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to cheek the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height （X1 ） and potential energy （X2 ） significantly impact （p 〈 0. 0001 ） the amplitude-based refleeted rate; the P-values for the deviance and Pearson are all 〉 0.05 （0.2839, 0.3438, respectively）. That is, the goodness-of-fit between ridge height （ X1 ） and potential energy （X2） can further predict parameters under the scenario of the best parsimonious model. Investigation of 6 predictive powers （ R2, Max-rescaled R^2, Sorners＇ D, Gamma, Tau-a, and c, respectively） indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.     

Evaluation of Inference Adequacy in Cumulative Logistic Regression Models： An Empirical Validation of ISW-Ridge Relationships

Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p<0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to check the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height (X1) and potential energy (X2) significantly impact (p<0.0001) the amplitude-based reflected rate; the P-values for the deviance and Pearson are all >0.05 (0.2839, 0.3438, respectively). That is, the goodness-of-fit between ridge height (X1) and potential energy (X2) can further predict parameters under the scenario of the best parsimonious model.Investigation of 6 predictive powers (R2, Max-rescaled R2, Somers'D, Gamma, Tau-a, and c, respectively) indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.     

水力停留时间对硫自养还原高氯酸盐和硝酸盐性能的影响

以填充单质硫颗粒(S0)的生物膜反应器作为研究对象,研究了水力停留时间(HRT)变化对硫自养还原高氯酸盐(ClO-4)和硝酸盐(NO-3)性能的影响。研究结果表明,在进水NO-3-N和ClO-4分别为20mg/L和100μg/L时,在HRT从16h逐渐缩短到0.5h过程中,NO-3-N去除率能在较短时间内达到99%以上。与硫自养还原NO-3-N相比,HRT的缩短导致ClO-4去除率趋于稳定所需时间增加,说明硫自养还原NO-3-N过程先于硫自养还原ClO-4的过程。在不同HRT下未发现中间产物ClO-3和ClO-2的积累,ClO-4摩尔数减少量与Cl-摩尔数增加量比约为1∶1,出水中SO2-4的实际产生量远大于理论产生量,出水pH值范围为6.8~7.1。通过PCR-DGGE图谱和测序结果分析可知,属于α-proteobacteria菌群在反应器中占优势地位,β-proteobacteria菌群次之。其中,具有NO-3和ClO-4还原能力的Denitromonas sp.和Azospirillumsp.存在于反应器的底部、中部和上部的生物膜,能还原ClO-4的Dechloromonas sp.MissR被发现存在于反应器中部和上部的生物膜。     

东海陆架多次波特点及去除策略

在东海陆架地区的地震资料中存在着多种类型的多次波,使得地震资料难以真实地反映地下地质信息,必须在地震资料处理过程中加以去除。根据多次波的不同特点,采用了3种技术方法组合去除的策略：采用SWD技术去除东海陆架普遍发育的与海底相关的短周期多次波;SRME技术对强波阻抗界面产生的近道多次波压制效果明显;抛物线Radon变换可以较好地解决中远偏移距的长周期多次波。通过对东海陆架大量多道地震资料的处理,采取3种技术方法的优化组合基本上都可以取得较好的处理效果。     

Distribution and Acoustic Characteristics of Shallow Gas in the Korea Strait Shelf Mud off SE Korea

Shallow gas in the Korea Strait shelf mud (KSSM) off SE Korea, revealed by high-resolution subbottom profiles, is associated with acoustic blanking, acoustic turbidity, seepages with plumes in the water column, and seafloor depressions. The acoustic blanking, characterized by strong, consistent top reflection and wipeout below, is most dominant. The seaward edge of the acoustic blanking zone generally coincides with the 100-m water-depth contour, suggesting that the water depth (the pressure) may control the distribution of shallow gas. The acoustic turbidity, characterized by diffuse top reflection, is a dark smear, partially blanking the data below. The seepages with plumes, characterized by vertical smearing and disturbed seafloor, are seen only along the shallowest, landward edge of the acoustic blanking zone. This may suggest that the decreased gas solubility at shallow water depths, caused by the lowered pressure, increases the volume of free gas in the sediments, facilitating the gas escape. The seafloor depressions, interpreted as pockmarks, are accompanied by cone-shaped acoustic masking, which is probably the reflection from a narrow vent of gas. The gas-related acoustic anomalies appear to occur mostly in the upper, recent mud of the KSSM. Neither permeable beds nor faults, which can act as vertical migration pathways for deep thermogenic gas, are evident in the recent mud. We interpret that the bacterial degradation of organic matter in situ is the main source for the gas in the KSSM. The upwelling off SE Korea may be an important source for the increased organic matter in the area.     

Estimation of Land Subsidence Based on Groundwater Flow Model

This article presents an approach for estimating land subsidence due to withdrawal of groundwater. The proposed method calculates the groundwater seepage in 3-D-condition and calculates the land subsidence one-dimensionally. The governing equation on groundwater seepage is based on the three-dimensional mass conservation law and the principle of effective stress. The land subsidence calculation method is derived based on the following assumptions: (1) displacements occur only in the vertical direction, and (2) in vertical direction the total stresses do not change. The governing equation is solved by numerical method, i.e., finite element method (FEM) in spatial discretization and finite difference method (FDM) in time series discretization. In FEM Galerkin method is adopted and in FDM, lumped matrix method is employed. The proposed method is calibrated via analyzing 1-D consolidation problem and the results are compared with those from Terzaghi's one-dimensional consolidation theory and oedometer test. The proposed method is employed to analyze the consolidation of a soft layer due to withdrawal of groundwater from an aquifer under it. Moreover, this method is also applied to a field case of land subsidence due to groundwater pumping in a gas production field in Japan. The analytical results are compared with the field observed data. The results show that this approach simulates the field case well.     

Role of piles in mitigating the movement of pipes in soft grounds during embankment loading

Abstract

Pipes buried in soft ground can be damaged due to the vertical and lateral movement of the ground during the construction of the embankment. To investigate such a movement of the soft ground, full-scale tests using embankment piles and stabilizing piles were conducted for 70?days. A pile-supported embankment has been used to reduce the deformation of soft ground by transferring the embankment load through piles to the firm layer below the soft ground, whereas stabilizing piles have been employed to resist the lateral earth pressure that is induced in soft ground by embankment loads. The Coupling Area (CA), which was defined as the quantitative index to determine the resistance effect of both settlement and lateral flow of the soft ground when the embankment was reinforced, is adapted. The analysis results of the CA indicate that the piled embankment was more effective for preventing the damage to buried pipe installed near the embankment, while the stabilizing piles had almost the same effect as the piled embankment when the pipe was buried far away from the embankment.     

围隔实验中水柱颗粒物色素的动态研究

用高效液相色谱法(HPLC)研究了围隔实验过程中水柱颗粒物主要色素的组成及动态变化,并就滤食性鱼类鲢对水体主要色素代谢的影响进行了讨论。结果表明:水柱中的主要色素有叶绿素a、异黄素、岩藻黄素、黄体素、玉米黄素和蓝藻叶黄素等,未放鱼的围隔中实验后期各种色素含量均降低到最低水平,有鱼的围隔中鱼类密度越高则色素含量降低越多。未放鱼的围隔中叶绿素a代谢产物———脱植基叶绿素a、脱镁叶绿素a、脱镁叶绿酸a与叶绿素a的比值均大于其它围隔,有鱼的围隔中鱼类密度大的这几个比值也比较大。     

龙须菜RSAP分析及其SCAR标记的转化

初步探讨限制性位点扩增多态性(Restriction site amplified polymorphism,RSAP)分子标记技术在龙须菜遗传多样性检测和种质鉴定上的应用。利用所优化的适合于龙须菜RSAP分析的PCR反应体系,对青岛湛山湾野生群体和栽培品系981、07-2进行遗传多样性分析和比较。试验采用15对引物组合在3个群体14个龙须菜个体中共扩增出669个位点,其中多态位点数为146个,多态性比例22%,平均每对引物产生10条多态性条带,片段大小在100~1 000 bp之间。湛山湾野生群体的Na(1.007 5)、Ne(1.007 1)、H(0.003 6)、I(0.005 1)与栽培品系981的Na(1.003 0)、Ne(1.002 1)、H(0.001 2)、I(0.001 8),以及栽培品系07-2的Na(1.009 0)、Ne(1.006 3)、H(0.003 7)、I(0.005 4)相比较可知3个群体的遗传多样性是有差异的。种群间的遗传多样性分析表明,在所有检测的样品中,遗传多样性多来自不同群体间的多样性。群体遗传结构分析表明,2个栽培品系981、07-2间遗传距离不大,但栽培品系与湛山湾野生群体间的遗传距离相对较大,而UPGMA聚类分析也明显的将湛山湾野生群体与栽培品系981、07-2区分开来,表明野生群体与栽培品系间已产生一定的遗传隔离。通过分析湛山湾野生群体及栽培品系981、07-2的RSAP指纹图谱,从中筛选栽培品系981的特异条带,并将其转化为稳定性好、特异性高的序列特征化扩增区(Sequence characterized amplified regions,SCAR)分子标记。     

Mining spatial associations between daily activities and health using EMA–GPS data

The geographical explicit ecological momentary assessment (GEMA) data collection platform provides extremely rich geospatial datasets and is very promising to gain behavior insights linking mobility, activities, and health. However, the task of analyzing these large datasets effectively is not straightforward, because they often involve a large multivariable dimension and rich qualitative data formats. Responding to the call for innovative analytic approaches in GIScience, this article advocates the use of spatial association rule mining (SARM) to extract frequent associations among daily activities, daily mobility, and health, including both physical health (e.g. pain) and mental health (e.g. happiness). This inductive mining approach works robustly with large datasets and is suitable for both qualitative and quantitative studies. A novel visualization technique to analyze the mined rules is also developed and presented.