松花湖富营养化现状及其影响因素分析

通过2002年和2003年对东北地区松花湖水体富营养化状况进行调查和采样分析，对大量数据的多元相关分析和多元逐步回归分析、AGP试验和利用综合营养状态指数法进行评价。结果表明：松花湖处在中营养和轻度富营养状态；总磷是限制水体富营养化的主要因子之一。水体中变温层的形成，限制了上、下层湖水的混合，对下层水体中的溶解氧、无机氮和可溶性磷酸盐产生影响，随着变温层的消失，下层内的营养物质转移到湖上层，为藻类的繁殖提供条件。     

矿柱稳定性影响因素敏感性分析及其应用研究

为研究矿柱稳定性影响因素的敏感程度,以招金大尹格庄金矿为研究背景,从矿柱载荷、强度、失稳形式及影响因素确定四方面推导出两种矿柱形式的安全系数计算公式,设计采用6因素5水平正交试验对矿柱稳定性影响因素敏感性进行分析,并研究主要影响因素与矿柱安全系数之间的函数关系。研究表明,矿柱宽度、矿体开采深度和矿房宽度3个主要因素对矿柱稳定性影响程度是最为剧烈的;矿柱安全系数随着矿柱宽度地增加呈指数形式递增且递增速率不断加大,随矿体开采深度地增加呈幂函数形式递减且递减速率逐渐变缓,随矿房宽度地增加呈负指数形式递减且降低速率逐渐变慢。利用DPS和Matlab建立的矿柱安全系数回归方程得出保证安全生产的合理矿柱尺寸,矿房宽度应不超过8 m,布置条形矿柱宽度应不小于3.6 m,布置方形矿柱宽度应不小于5.9 m。结合采场矿柱布置实际,应用效果较为理想,可为下中段矿体回采矿块布置提供较好的依据。     

Modeling the potential distribution of shallow-seated landslides using the weights of evidence method and a logistic regression model： a case study of the Sabae Area, Japan

A number of statistical methods are typically used to effectively predict potential landslide distributions. In this study two multivariate statistical analysis methods were used （weights of evidence and logistic regression） to predict the potential distribution of shallow-seated landslides in the Kamikawachi area of Sabae City, Fukui Prefecture, Japan. First, the dependent variable （shallow-seated landslides） was divided into presence and absence, and the independent variables （environmental factors such as slope and altitude） were categorized according to their characteristics. Then, using the weights of evidence （WE） method, the weights of pairs comprising presence （w^＋（i）） or absence （w^-（i））, and the contrast values for each category of independent variable （evidence）, were calculated, Using the method that integrated the weights of evidence method and a logistic regression model, score values were calculated for each category of independent variable. Based on these contrast values, three models were selected to sum the score values of every gird in the study area. According to a receiver operating characteristic curve analysis （ROC）, model 2 yielded the best fit for predicting the potential distribution of shallow-seated landslide hazards, with 89% correctness and a 54.5% hit ratio when the occurrence probability （OP） of landslides was 70%. The model was tested using data from an area close to the study region, and showed 94% correctness and a hit ratio of 45.7% when the OP of landslides was 70%. Finally, the potential distribution of shallow-seated landslides, based on the OP, was mapped using a geographical information system.     

基于正交设计的复杂坝基弹塑性力学参数反演

复杂坝基弹塑性力学参数反演的计算工作量直接取决于采用何种优化方法。根据大坝在运行期的实测资料，运用有限元正交数值试验、回归分析和优化相结合的方法，反演了坝基岩体的弹塑性力学参数。实例研究表明了该方法的有效性和实用性。     

2011—2020年黄淮海平原冬小麦低温冷害与气象要素变化的时空分析（英文）

黄淮海平原是我国典型的农田生态系统之一,频发的低温冷害对该区域的冬小麦种植业造成了巨大的经济损失。为了有效、大范围地监测冷害的时空变化情况及其气象成因,利用2005–2015年来源于气象站点的逐日最低气温和MODIS的NDVI和FPAR数据,结合逻辑回归模型构建了黄淮海平原冬小麦低温冷害监测模型,并分析了2011–2020年黄淮海平原冬小麦冷害的时空变化。将其与气象要素的时空变化进行相关性分析,了解气象要素对冬小麦低温冷害发生情况的影响。结果表明,2011–2020年冬小麦冷害的危害性逐渐降低,且冷害发生高概率、高频区域由北向南移动。同时,气象要素对冬小麦受害程度的影响从高到低分别为热量、降水和日照时长,但这些要素的影响具有一定的空间异质性。     

一种新的统计回归模型及其建模方案

根据经典门限自回归模型的基本思想,引入半截多项式变换,导出了一种新的统计回归模型,并提出了相应的一整套建模方案。这种模型和建模方案的特点是:（1）解决了统计回归分析中逐段线性化模型的检验问题;（2）在确定统计回归模型中各待估参数和变量——包括门限变量、门限值、阶数、时滞和回归系数时显得十分方便、快捷。试验结果表明,根据此方案建立的统计回归模型具有较高的拟合和预报精度,同时具有良好的稳定性。     

Statistical prediction of heavy rain in South Korea

1. Introduction In recent decades, extreme weather events seem to be growing in frequency and risk due to water-related disasters. According to the World Meteorological Or- ganization report (ISDR and WMO, 2004) on World Water Day, 22 March 2004, the economic losses caused by water-related disasters, including floods, droughts and tropical cyclones, are on an increasing trend as follows: the yearly mean in the 1970s was about 131 billion US dollars, 204 billion dollars in the 1980s, and …     

Estimation of suspended sediment concentration in the Saint John River using rating curves and a machine learning approach

ABSTRACT

Sedimentation in navigable waterways and harbours is of concern for many water and port managers. One potential source of variability in sedimentation is the annual sediment load of the river that empties in the harbour. The main objective of this study was to use some of the regularly monitored hydro-meteorological variables to compare estimates of hourly suspended sediment concentration in the Saint John River using a sediment rating curve and a model tree (M5?) with different combinations of predictors. Estimated suspended sediment concentrations were multiplied by measured flows to estimate suspended sediment loads. Best results were obtained using M5? with four predictors, returning an R² of 0.72 on calibration data and an R² of 0.46 on validation data. Total load was underestimated by 1.41% for the calibration period and overestimated by 2.38% for the validation period. Overall, the model tree approach is suggested for its relative ease of implementation and constant performance.

EDITOR M.C. Acreman; ASSOCIATE EDITOR B. Touaibia     

Variation of earthquake ground motionwith depth

Introduction The 21st century is the time for the exploitation and utilization of underground spaces. It is astrategic way to defeat the severe challenge that human are now confronting with, such as the lackof land, contamination of environment, traffic jam, waste of sources, and so on. The exploitationand utilization of underground space has become a global tendency, and a significant sign inevaluating the speed of modernization of cities. Facing the challenge, it is significantly necess…     

低孔低渗储层渗透率测井解释模型研究

采用岩心分析数据与测井曲线相结合的方法,引入泥质含量参数配合声波时差进行多元线性回归分析。建立鄂尔多斯盆地研究区低孔低渗储层渗透率测井解释模型。根据泥质含量特征二次分类后进行多元线性回归,建立两个渗透率测井解释模型相关性良好,对应于研究区两种不同的沉积微相特征;测井解释渗透率与岩心实测渗透率匹配良好,解释模型满足研究区精度要求。在沉积微相背景约束条件下,对研究区储层选择合理参数多元线性回归建立渗透率测井解释模型,可以使低孔低渗储层渗透率解释达到良好应用效果。