Estimation of transit trip production using Factorial Kriging with External Drift: an aggregated data case study     

Anabele Lindner  Cira Souza Pitombo  Samille Santos Rocha  José Alberto Quintanilha 《地球空间信息科学学报》2016,19(4):245-254

Studies in transportation planning routinely use data in which location attributes are an important source of information. Thus, using spatial attributes in urban travel forecasting models seems reasonable. The main objective of this paper is to estimate transit trip production using Factorial Kriging with External Drift (FKED) through an aggregated data case study of Traffic Analysis Zones in São Paulo city, Brazil. The method consists of a sequential application of Principal Components Analysis (PCA) and Kriging with External Drift (KED). The traditional Linear Regression (LR) model was adopted with the aim of validating the proposed method. The results show that PCA summarizes and combines 23 socioeconomic variables using 4 components. The first component is introduced in KED, as secondary information, to estimate transit trip production by public transport in geographic coordinates where there is no prior knowledge of the values. Cross-validation for the FKED model presented high values of the correlation coefficient between estimated and observed values. Moreover, low error values were observed. The accuracy of the LR model was similar to FKED. However, the proposed method is able to map the transit trip production in several geographical coordinates of non-sampled values.  相似文献   

Estimation of mean and extreme waves in the East China Seas     

《Applied Ocean Research》2016

Accurately estimating the mean and extreme wave statistics and better understanding their directional and seasonal variations are of great importance in the planning and designing of ocean and coastal engineering works. Due to the lack of long-term wave measurement data, the analysis of extreme waves is often based on the numerical wave hind-casting results. In this study, the wave climate in the East China Seas (including the Bohai Sea, the Yellow Sea and the East China Sea) for the past 35 years (1979–2013) is hind-casted using a third generation wave model – WAMC4 (Cycle 4 version of WAM model). Two sets of reanalysis wind data from NCEP (National Centers for Environmental Prediction, USA) and ECMWF (European Centre for Medium-range Weather Forecasts) are used to drive the wave model to generate the long-term wave climate. The hind-casted waves are then analysed to study the mean and extreme wave statistics in the study area. The results show that the mean wave heights decrease from south to north and from sea to land in general. The extreme wave heights with return periods of 50 and 100 years in the summer and autumn seasons are significantly higher than those in the other two seasons, mainly due to the effect of typhoon events. The mean wave heights in the winter season have the highest values, mainly due to the effect of winter monsoon winds. The comparison of extreme wave statistics from both wind fields with the field measurements at several nearshore wave observation stations shows that the extreme waves generated by the ECMWF winds are better than those generated by the NCEP winds. The comparison also shows the extreme waves in deep waters are better reproduced than those in shallow waters, which is partly attributed to the limitations of the wave model used. The results presented in this paper provide useful insight into the wave climate in the area of the East China Seas, as well as the effect of wind data resolution on the simulation of long-term waves.  相似文献   

中国沿海多鳞四指马鲅(Eleutheronema rhadinum)与四指马鲅(E. tridactylum)形态与遗传位点差异分析     

赵优  庄平  张涛  赵峰 《海洋与湖沼》2016,47(1):108-114

多鳞四指马鲅(Eleutheronema rhadinum)与四指马鲅(Eleutheronema tridactylum)是四指马鲅属(Eleutheronema)中的名贵经济鱼类,具有良好的养殖开发前景。本文对中国沿海多鳞四指马鲅与四指马鲅群体的26个形态特征值进行了多变量比较分析,提取了7个主成分,累计贡献率达到91.112%,前三个主成分贡献率分别为28.759%、21.467%、15.469%。多鳞四指马鲅与四指马鲅形态差异主要体现在头背部、尾柄部、背腹轴及头尾轴的特征。利用4个形态学参数建立了2群体判别公式,综合判别准确率高达100%,可作为多鳞四指马鲅与四指马鲅物种资源的初步判定方法。另外,利用简化基因组测序开发出多鳞四指马鲅与四指马鲅SNP标记69207个、In Del标记12884个,丰富了四指马鲅属鱼类遗传结构研究数据。本研究为进一步开展四指马鲅数属物种资源评估与保护、选育、功能基因研究提供基础资料。  相似文献   

日本囊对虾(Marsupenaeus japonicus)秋繁仔虾形态表型与抗流性能间的相关性   总被引：1，自引：1，他引：0  

王志铮  朱海军  任夙艺  斯烈钢  祝本强 《海洋与湖沼》2016,47(2):360-368

于水温(18.0±1.0)°C、盐度20、pH 8.1±0.2条件下,以水流为胁迫因子(时长1min),以日本囊对虾秋繁同生群仔虾[总长(7.643±0.639)mm]为实验对象,以溢水口(实验初始时刻仔虾放置处)为起点,按等距离间距法将自制的水流测定装置(总长1m)依次划分为A(0—25cm)、B(25—50cm)、C(50—75cm)、D(75—100cm)和E(100cm)等五个区段,在确认实验终了时刻分布于A区段内仔虾数量占实验仔虾总数5%的水流速度为0.823cm/s后,以此为实验流速,借助显微扫描像素测量技术和多元分析方法定量研究了A、B、C、D、E实验群体(依次为实验终止时刻分布于A、B、C、D、E区段内的仔虾)个体间形态比例性状间的差异。结果表明:(1)在所涉15项形态测量指标中,各实验群体间均无显著差异(P0.05)的形态性状共计8项,依次为X_4(眼径)、X_5(头胸甲长)、X_6(头胸甲高)、X_7(第一腹节长)、X_8(第二腹节长)、X_9(第三腹节长)、X_~(10)(第四腹节长)和X_14(腹节高);(2)在所涉17项形态比例指标中,实验群体间均无显著差异(P0.05)的形态比例性状共计7项,依次为C_2(额剑长/总长)、C_9(第五腹节长/总长)、C_(10)(尾节长/总长)、C_(11)(尾扇长/总长)、C_(15)(头胸甲高/头胸甲长)、C_(16)(腹节高/第一腹节长)和C_(17)(尾节高/尾节长);(3)经主成分分析,提取到的5个特征值均大于1的主成分,累计贡献率达80.795%,其中第1主成分39.561%,其载荷绝对值大于0.5的主要影响变量占形态比例性状总数的47.059%;(4)将A实验群体定义为水流胁迫处理选留群,B、C、D、E实验群体统归为水流胁迫处理淘汰群。采用逐步判别法,以判别贡献率较大的C_1(第一触角柄长/总长)、C3(眼径/总长)、C7(第三腹节长/总长)、C13(额剑长/头胸甲长)为自变量,所建的Fisher分类函数方程组可较清晰地区分淘汰群和选留群个体,其中选留群的判别准确率P_1、P_2分别为98%和84.85%,淘汰群的判别准确率P_1、P_2分别为82.25%和97.63%,两者综合判别准确率为90.12%。综上可知,借助形态表型分型可实现日本囊对虾仔虾不同抗流性能群体间的筛选。  相似文献   

西藏“一江三河”地区地下水环境背景值初步研究     

耿婷婷  李颖智  张涛  张智印  赵淼 《地质与资源》2018,27(5):480-487

在分析对比国内外研究方法的基础上,选择数理统计方法,通过最广泛的数理统计法的应用原则、数据检验、背景值取值等问题的论述,对西藏"一江三河"地区地下水水质指标TDS,Ca²+,Mg²⁺,Na⁺环境背景值进行研究,并初步探讨了它们的空间分布规律及控制因素.结果表明,地形地貌、区域水动力条件等因素对研究区地下水指标的空间分布起主要控制作用.该结果为评价西藏"一江三河"地区地下水污染状况提供科学的依据.  相似文献   

Progress and Prospect of Statistics and Assessment of Large-scale Natural Disaster Damage and Losses     

Xi Wang  Hongjian Zhou 《地球科学进展》2018,33(9):914-921

In June 2014, the "Statistics System for the Damage and Loss of Large-scale Natural Disasters" (SSDLLND) was issued by the Ministry of Civil Affairs and the Office of National Disaster Reduction Committee, which marked that the statistics and assessment of China's catastrophic natural disaster damage and losses formally entered a new stage of institutionalization. On the basis of analyzing the five major international disaster damage and loss assessment systems, including HAZUS-MH, ECLAC, DaLA, EMA-DLA and PDNA, the differences between the “SSDLLND” of China and five major international systems were compared from the statistics and assessment contents and indicators. Combined with the statistics and assessment practices of China’s large-scale disaster damage and losses and the characteristics of international systems in recent years, the future development of the SSDLLND were proposed in three aspects: Enriching and improving the framework of damage and loss statistics content, stepwise improvement of disaster impact assessment methods (such as the ecological capital loss assessment, tourism industry loss assessment due to the disasters, etc.), and improving indicators and parameters of loss statistics. The study has an important practical significance for improving the statistics and assessment system of the damage and loss of major natural disasters and better serving the post-disaster recovery and reconstruction decision-making.  相似文献   

A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods     

Zhenlong Li  Cuizhen Wang  Christopher T. Emrich  Diansheng Guo 《制图学和地理信息科学》2018,45(2):97-110

Rapid flood mapping is critical for local authorities and emergency responders to identify areas in need of immediate attention. However, traditional data collection practices such as remote sensing and field surveying often fail to offer timely information during or right after a flooding event. Social media such as Twitter have emerged as a new data source for disaster management and flood mapping. Using the 2015 South Carolina floods as the study case, this paper introduces a novel approach to mapping the flood in near real time by leveraging Twitter data in geospatial processes. Specifically, in this study, we first analyzed the spatiotemporal patterns of flood-related tweets using quantitative methods to better understand how Twitter activity is related to flood phenomena. Then, a kernel-based flood mapping model was developed to map the flooding possibility for the study area based on the water height points derived from tweets and stream gauges. The identified patterns of Twitter activity were used to assign the weights of flood model parameters. The feasibility and accuracy of the model was evaluated by comparing the model output with official inundation maps. Results show that the proposed approach could provide a consistent and comparable estimation of the flood situation in near real time, which is essential for improving the situational awareness during a flooding event to support decision-making.  相似文献   

Modelling bivariate rainfall distribution and generating bivariate correlated rainfall data in neighbouring meteorological subdivisions using copula     

Subimal Ghosh 《水文研究》2010,24(24):3558-3567

The rainfall patterns of neighbouring meteorological subdivisions of India are similar because of similar climatological and geographical characteristics. Analysing the rainfall pattern separately for these meteorological subdivisions may not always capture the correlation and tail dependence. Furthermore, generating the multivariate rainfall data separately may not preserve the correlation. In this study, copula method is used to derive the bivariate distribution of monsoon rainfall in neighbouring meteorological subdivisions. Different Archimedean copulas are used for this purpose and the best copula is selected based on nonparametric test and tail dependence coefficient. The fitted copula is then applied to derive the bivariate distribution, joint return period and conditional distribution. Bivariate rainfall data is generated with the fitted copula and it is observed with the increase of sample size, the generated data is able to capture the correlation as well as tail dependence. The methodology is demonstrated with the case study of two neighbouring meteorological subdivisions of North‐East India: Assam and Meghalaya meteorological subdivision and Nagaland, Manipur, Mizoram and Tripura meteorological subdivision. Copyright © 2010 John Wiley & Sons, Ltd.  相似文献   

软件模块故障倾向预测方法研究   总被引：2，自引：0，他引：2  

罗云锋  普杰  贲可荣 《武汉大学学报(信息科学版)》2010,(5)

研究了在区分故障严重程度下的软件模块故障倾向预测方法,将故障分为高严重程度和低严重程度两种类型,用统计分析和机器学习方法分析静态代码度量与故障倾向之间的关系。以公开和私有两种类型的失效数据集作为实验数据,分析发现,故障的严重程度影响预测性能,预测不同严重程度的故障需要选择不同的度量和分类模型,预测低严重程度故障的性能好于预测高严重程度故障的性能。  相似文献   

Flood seasonality across Scandinavia—Evidence of a shifting hydrograph?          下载免费PDF全文

Bettina Matti  Helen E. Dahlke  Bastien Dieppois  Damian M. Lawler  Steve W. Lyon 《水文研究》2017,31(24):4354-4370

Fluvial flood events have substantial impacts on humans, both socially and economically, as well as on ecosystems (e.g., hydroecology and pollutant transport). Concurrent with climate change, the seasonality of flooding in cold environments is expected to shift from a snowmelt‐dominated to a rainfall‐dominated flow regime. This would have profound impacts on water management strategies, that is, flood risk mitigation, drinking water supply, and hydro power. In addition, cold climate hydrological systems exhibit complex interactions with catchment properties and large‐scale climate fluctuations making the manifestation of changes difficult to detect and predict. Understanding a possible change in flood seasonality and defining related key drivers therefore is essential to mitigate risk and to keep management strategies viable under a changing climate. This study explores changes in flood seasonality across near‐natural catchments in Scandinavia using circular statistics and trend tests. Results indicate strong seasonality in flooding for snowmelt‐dominated catchments with a single peak occurring in spring and early summer (March through June), whereas flood peaks are more equally distributed throughout the year for catchments located close to the Atlantic coast and in the south of the study area. Flood seasonality has changed over the past century seen as decreasing trends in summer maximum daily flows and increasing winter and spring maximum daily flows with 5–35% of the catchments showing significant changes at the 5% significance level. Seasonal mean daily flows corroborate those findings with higher percentages (5–60%) of the catchments showing statistically significant changes. Alterations in annual flood occurrence also point towards a shift in flow regime from snowmelt‐dominated to rainfall‐dominated with consistent changes towards earlier timing of the flood peak (significant for 25% of the catchments). Regionally consistent patterns suggest a first‐order climate control as well as a local second‐order catchment control, which causes inter‐seasonal variability in the streamflow response.  相似文献