前兆异常与地震相关性研究—— 一个值得广大地震学者重视的问题

简要介绍了前兆异常与地震相关性定量分析方法,并列举了在进行这方面研究中目前存在的薄弱环节和困难,以期引起广大地震分析预报人员的重视。     

ESTIMATING MEAN AND VARIANCE FOR ENVIRONMENTAL SAMPLES WITH BELOW DETECTION LIMIT OBSERVATIONS1

ABSTRACT: Left-censoring of data sets complicates subsequent statistical analyses. Generally, substitution or deletion methods provide poor estimates of the mean and variance of censored samples. These substitution and deletion methods include the use of values above the detection limit (DL) only, or substitution of 0, DL/2 or the DL for the below DL values during the calculation of mean and variance. A variety of statistical methods provides better estimators for different types of distributions and censoring. Maximum likelihood and order statistics methods compare favorably to the substitution or deletion methods. Selected statistical methods applicable to left-censoring of environmental data sets are reviewed with the purpose of demonstrating the use of these statistical methods for coping with Type I (and Type II) left-censoring of normally and log-normally distributed environmental data sets. A PC program (UNCENSOR) is presented that implements these statistical methods. Problems associated with data sets with multiple DLs are discussed relative to censoring methods for life and fatigue tests as recently applied to water quality data sets.     

TECHNIQUES FOR DETECTING TRENDS IN LAKE WATER QUALITY1

ABSTRACT: With the advent of standards and criteria for water quality variables, there has been an increasing concern about the changes of these variables over time. Thus, sound statistical methods for determining the presence or absence of trends are needed. A Trend Detection Method is presented that provides: 1) Hypothesis Formulation - statement of the problem to be tested, 2) Data Preparation - selection of water quality variable and data, 3) Data Analysis - exploratory data analysis techniques, and 4) Statistical Tests - tests for detecting trends. The method is utilized in a stepwise fashion and is presented in a nonstatistical manner to allow use by those not well versed in statistical theory. While the emphasis herein is on lakes, the method may be adopted easily to other water bodies.     

A statistical F test for the natural attenuation of contaminants in groundwater

Natural attenuation (NA) is a catchall explanation for the overall decay and slowed movement of the contaminants in the subsurface. One direct support to NA is to demonstrate that contaminant concentrations from monitoring wells located near the source are decreasing over time. The decrease is summarily expressed in terms of an apparent half-life that is determinedfrom the line best fitting the observed log-transformed concentration data and time. This simple (time-only) decay modelassumes other factors are invariant, and so is flawed when complicating factors – such as a fluctuating water table – are present. A history of the water-table fluctuation can track changes in important NA factors like recharge, groundwater flow direction and velocity, as well as other non-NA factors like volume of water in and purged from the well before a sample is collected. When the trend in the concentrations is better associated with the water table rising or falling, any conclusionabout degradation rate may be premature. We develop simple regressions to predict contaminant concentration (c) by two line models: one involving time (c c(t)), and another involving groundwater elevation (c c(z)). We develop a third model that includesboth factors (c c(t, z)). Using an F-test to compare the fits to the models, we determine which modelis statistically better in explaining the observed concentrations. We applied the test to sites where benzene degradation rates had previously been estimated. The F-testcan be used to determine the suitability of applying non-parametric statistics, like the Mann-Kendall, to the concentration data, because the result from the F-test canindicate instability of the contaminant plume that may bemasked when the water table fluctuates.     

辽宁酷热日的天气气候分析

利用统计方法对辽宁1951-2003年的酷热天气进行了分析,发现辽宁的酷热天气主要出现在辽西地区;酷热天气在5-7月均可出现,主要集中在7月;无明显的年际变化.中纬度东-西高压带是造成辽宁酷热天气的主要天气形势;其次是西风带暖高压,在850hPa温度场上,辽宁西部在24℃暖中心之内有很好的指示意义.     

MODELING FLOOD DAMAGE: CASE OF TOKAI FLOOD 20001

ABSTRACT: In conventional flood damage reduction studies, flood damage is usually estimated with a damage function according to the depth of inundation. However, this method may not reflect the conditions of each family residing in the floodplain because it ignores not only the distribution of flood damage but also the effect of building characteristics and residents' preparedness. This paper uses data from a questionnaire based survey (N= 3,036) conducted 17 months after the Tokai Flood of 2000 that caused disastrous losses to household properties. It provides a conceptual “doughnut structure” model of flood damage to houses and house contents and a mathematical basis for models to explore the determinants of flood damage. Besides the inundation depth, house type significantly affects both the house structural and content damage probabilities, while house ownership and house structure affect house damage probability but not house content damage probability at a given depth. Inundation depth, residing period, and household income significantly affect both house and content damage values. In addition, house ownership has a significant impact on the house damage value, while house structure has an impact on content damage value.     

ANALYSIS OF STREAMFLOW TRENDS AND THE EFFECTS OF CLIMATE IN PENNSYLVANIA, 1971 TO 20011

An understanding of temporal trends in total stream‐flow (TSF), base flow (BF), and storm runoff (RO) can help in the development of water management plans for watersheds and local communities. In this study, 47 streams across Pennsylvania that were unregulated and unaffected by karst environments or coal mining were studied for flow trends and their relationships to selected climate parameters for the period 1971 to 2001. LOWESS curves for annual flow showed that almost all of the selected streams in Pennsylvania had downward trends in total TSF, BF, and RO. Using a seasonal Mann‐Kendall analysis, downward trends were significant at an α= 0.05 level for 68, percent 70 percent, and 62 percent of the streams and at an α= 0.10 level for another 19, 17, and 13 percent of the streams for TSF, BF, and RO, respectively. The ratio of BF to TSF (RBS) had significant upward trends for 34 percent of the streams at an α= 0.05 level and for another 9 percent of the streams at an α= 0.10 level, indicating that TSF decreased relative to BF for more than 40 percent of the streams during the previous 30 years. Downward trends in TSF, BF, and RO were most common for the months of June, July, and December. Trend analyses using monthly and annual total precipitation and mean temperature showed some association between climate and the streamflow trends, but Spearman's correlation and partial Mann‐Kendall analyses revealed that the trends in TSF, BF, and RO could not be explained by trends in precipitation and temperature alone, and thus urbanization and development may have played a role.     

2002年11月-2003年2月国内安全事故数据

统计了2002年11—2003年2月国内发生的各种安全事故1050起，包括矿业事故、交通事故、爆炸事故、毒物泄露和中毒、火灾及其他事故。统计表明，在这些事故中，矿业事故最多，占59．8％，平均每天5．2起事故，其次是交通事故(23．1％)、爆炸事故(5．6％)、其他事故(5．6％)、毒物泄露和中毒(3．1％)、火灾(2．7％)。1050起事故共死亡2733人，伤2248人，死亡人数的百分比分别为矿业事故43．O％、交通事故37．1％、其他事故7．2％、爆炸事故6．8％、火灾3．9％、泄露中毒1．9％；受伤人数的百分比分别为交通事故63．7％、爆炸事故10．5％、矿业事故9．9％、泄露中毒6．9％、其他事故6．6％、火灾2．4％。章最后对2002年我国发生的一些事故进行了讨论。     

沂沭断裂带上跨断层定点水准高值变化分析

2001年8月,沂沐断裂带上的冯家坊子和相公庄定点水准测量在更换了DiNill数字水准仪后同时出现高值变化。本文计算了冯家坊子、相公庄水准2000～2002年1～7月高差中数的偶然中误差,利用t检验、f检验对不同年相同时间段的均值、方差进行了统计检验,并结合地下水位、降雨、温度、环境等因素从定量和定性两个方面分析了水准观测值与它们之间的关系;讨论了引起水准观测值出现显著变化的原因。结果表明:冯家坊子、相公庄水准出现的高值变化与更换了数字水准仪有关,而冯家坊子水准出现的高值变化还与温度、地下水位变化有关,相公庄水准SN向出现的高值变化还与周围环境干扰有关。     

福建省台湾入境游客市场预测模型分析

随着海峡两岸旅游区的发展,对台湾旅游市场进行预测可以更好地帮助福建省制定对台旅游发展战略和市场开发模式。通过对目前较为实用的两种预测模式——回归分析和灰色预测进行分析比较得出指数模型在游客预测中的优越性,从而得出相应的预测模型。对未来几年游客量进行预测,从定量分析的角度对福建省开展对台旅游提出依据。