2004年主汛期我国强对流天气灾害统计特征

运用全国各省、市、县气象部门直接上报国家气象局的气象灾害数据,对全国各地2004年主汛期(6-8月)对流性天气造成的灾害分布特征和人员死亡情况进行了统计分析,结果表明,主汛期内强对流天气在全国31个省市都有发生,其中黄淮、江淮、江南、西南地区东部为强对流天气灾害死亡人数多发区,且在主汛期内,以7月份强对流天气发生频次最高;在年度所有气象灾害中,除了暴雨洪涝灾害造成人员死亡最多外,雷击事件造成的死亡人数占气象灾害死亡人数的第二位;各大城市均遭遇到强对流天气袭击,造成了严重的交通瘫痪,城市应急响应系统建设亟待加强。     

福建省台风灾害时空变化分析

根据福建省灾害性气象年鉴和福建省气候影响评价资料,建立以县域为单元的福建省台风灾害数据库,运用Excel软件和M ap info技术,重建了1980~2005年福建台风灾害时空动态格局。研究表明:福建台风灾害年际变化总体呈波动上升趋势,年内80%左右集中在7~9月份,群发性强。空间上集中在沿海地区,灾情明显存在3个高值中心,即闽中的莆田、福清、长乐和平潭,闽南的漳浦、云霄和诏安,闽东北的霞浦和福鼎;致灾因子与灾情灾次比空间分布错位,体现承灾体脆弱性对台风灾害的影响。分阶段研究表明:台风灾害致灾因子变化不太明显,但灾情呈明显增强趋势,进一步反映环境不稳定性和承灾体脆弱性对台风灾害的影响机制。     

基于GIS的中国各地区生态安全模式分析

生态安全是整个生态经济系统和可持续发展的生态保障,是区域或国家其它安全的载体和基础。采用经济合作和开发组织(OECD)与联合国环境规划署(UNEP)共同提出P—R—S模式,构建包括资源环境压力、资源环境状态和人文环境响应3个项目23个指标的指标体系,定量估计了中国31个地区的生态安全指数,利用ArcView GIS 3.2进行空间叠合分析和聚类分析,提炼出12个生态安全模式,表明中国各个地区的生态安全呈现多元化。     

基于景观生态学的长春郊区游憩斑块结构研究

基于景观生态学理论，认为斑块是旅游活动的主要发生场所，它的空间结构决定了区域旅游的发展态势。研究了游憩斑块空间结构方面的规律，有助于深入认识斑块的宏观特征，发现旅游投资及游客流动的规律，更有助于把握斑块、廊道与基质三者的关系。从类型、等级方面详细地分析了长春郊区游憩斑块的空间结构，提出了斑块优化的理念。     

基于模糊统计的山区公路安全评价研究

应用模糊统计中的集值统计方法对山区公路进行交通安全评价研究,以克服应用等级比重法和专家评分法对模糊和非定量化指标评价中评价精度不高的问题。首先建立评价指标体系并进行权重分配,采用集值统计法确定评价值,最终得出道路安全评价结果,确定影响交通安全的主要因素。通过算例说明了模糊统计法能有效解决山区公路安全性评价问题。     

基于火灾统计数据的火灾形势综合评价和定量预测

火灾统计分析是研究火灾随机性规律的有效方法,它通过总结、整理和分析大量的火灾原始资料,归纳出火灾发生的统计规律.利用多属性综合评价法可对火灾统计数据进行深层次的开发和利用;同时应用预测学原理,建立了我国火灾形势的二次指数平滑预测模型,结果表明火灾总体呈发展趋势.     

ESTIMATING STREAMFLOW AND ASSOCIATED HYDRAULIC GEOMETRY,THE MID‐ATLANTIC REGION,USA1

ABSTRACT: Methods to estimate streamflow and channel hydraulic geometry were developed for unpaged streams in the Mid‐Atlantic Region. Observed mean annual streamflow and associated hydraulic geometry data from 75 gaging stations in the Appalachian Plateau, the Ridge and Valley, and the Piedmont Physiographic Provinces of the Mid‐Atlantic Region were used to develop a set of power functions that relate streamflow to drainage area and hydraulic geometry to streamflow. For all three physiographic provinces, drainage area explained 95 to 98 percent of the variance in mean annual streamflow. Relationships between mean annual streamflow and water surface width and mean flow depth had coefficients of determination that ranged from R²= 0.55 to R²= 0.91, but the coefficient of determination between mean flow velocity and mean annual streamflow was lower (R²= 0.44 to R²= 0.54). The advantages of using the regional regression models to estimate streamflow over a conceptual model or a water balance model are its ease of application and reduced input data needs. The prediction of the regression equations were tested with data collected as part of the U.S. Environmental Protection Agency (USEPA) Environmental Monitoring and Assessment Program (EMAP). In addition, equations to transfer streamflow from gaged to ungaged streams are presented.     

FORECASTING DRY SEASON STREAMFLOW ON THE PEACE RIVER AT ARCADIA,FLORIDA, USA1

ABSTRACT: The Peace River at Arcadia, Florida, is a municipal water supply supplement for southwestern Florida. Consequently, probabilities of encountering low flows during the dry season are of critical importance. Since the association between Pacific Ocean sea surface temperatures (SSTs) and seasonal streamflow variability in the southeastern United States is well documented, it is reasonable to generate forecasts based on this information. Here, employing historic records of minimum, mean, and maximum flows during winter (JFM) and spring (AMJ), upper and lower terciles define “above normal,”“normal,” and “below normal” levels of each variable. A probability distribution model describes the likelihood of these seasonal variables conditioned upon Pacific SSTs from the previous summer (JAS). Model calibration is based upon 40 (of 50) years of record employing stratified random sampling to ensure equal representation from each decade. The model is validated against the remaining 10 samples and the process repeated 100 times. Each conditional probability distribution yields varying probabilities of observing flow variables within defined categories. Generally, a warm (cold) Pacific is associated with higher (lower) flows. To test model skill, the forecast is constrained to be the most probable category in each calibration year, with significance tested by chi‐square frequency tables. For all variables, the tables indicate high levels of association between forecast and observed terciles and forecast skill, particularly during winter. During spring the pattern is less clear, possibly due to the variable starting date of the summer rainy season. This simple technique suggests that Pacific SSTs provide a good forecast of low flows.     

铜陵有色金属(集团)公司工伤死亡事故统计分析系统数据库的建立、维护及管理

建立工伤死亡事故统计分析数据库,可利用计算机对大量的伤亡事故的原始数据进行处理,得出不同要求的统计分析结果,从中找出伤亡事故发生的一些规律,为今后的安全生产提出应该重视的问题,为采取预防措施提供依据。     

EFFECT OF ORIENTATION OF SPATIALLY DISTRIBUTED CURVE NUMBERS IN RUNOFF CALCULATIONS1

ABSTRACT: The NRCS curve number approach to runoff estimation has traditionally been to average or “lump” spatial variability into a single number for purposes of expediency and simplicity in calculations. In contrast, the weighted runoff curve number approach, which handles each individual pixel within the watershed separately, tends to result in larger estimates of runoff than the lumped approach. This work proposes further enhancements that consider not only spatial variability, but also the orientation of this variability with respect to the flow aggregation pattern of the drainage network. Results show that the proposed enhancements lead to much reduced estimates of runoff production. A revised model that considers overland flow lengths, consistent with existing NRCS concepts is proposed, which leads to only mildly reduced runoff estimates. Although more physically‐based, this revised model, which accounts directly for spatially distributed curve numbers and flow aggregation, leads to essentially the same results as the original, lumped runoff model when applied to three study watersheds. Philosophical issues and implications concerning the appropriateness of attempting to disaggregate lumped models are discussed.