地质公园建设在旅游发展中的作用

地质公园建设不仅可开发地学旅游新产品,拓宽地学旅游市场,加强对地学知识的科普宣传教育,满足游客日益增长的求知需求,不断提高人们的生活品位,还具有指导地质遗迹景观区的管理和保护工作,促进以旅游为龙头的地方经济快速和可持续发展的重要作用和意义。     

Arsenic, antimony and other toxic elements in the drinking water of Eastern Thessaly in Greece and its possible effects on human health

Twenty-six groundwater samples were collected from the Eastern Thessaly region and analysed by ICP-ES for these elements: Al, As, P, Pb, Zn, Mn, Fe, Cr, Sb, Cu, Na, Br, Cl, Si, Mg, Ag, Be, Bi, Dy, Er, Eu, Au, Ge, Ho, In, Ir, Os, Pt, Re, Rh, Ru, Lu, Hf, Hg, Tm, Zr and Nb. The objectives of the study were to assess the level of water contamination with respect to the EC and the USEPA health-based drinking water criteria. The geology of the studied area includes schists, amphibolites, marbles of Palaeozoic age, ophiolites, limestones of Triassic and Cretaceous age, Neogene and Quaternary deposits. The element ranges for groundwater samples are: Al 7–56 μg l⁻¹, As 1–125 μg l⁻¹, Br 6–60 μg l⁻¹, Cl 500–25,000 μg l⁻¹, Cr 1–6 μg l⁻¹, Cu 1–15 μg l⁻¹, Fe 10–352 μg l⁻¹, Mg 2,940–40,100 μg l⁻¹, Mn 0–8 μg l⁻¹, Na 3,650–13,740 μg l⁻¹, P 20–48 μg l⁻¹, Pb 0–7 μg l⁻¹, Sb 0–21 μg l⁻¹, Si 3,310–13,240 μg l⁻¹ and Zn 7–994 μg l⁻¹. The results of groundwater analyses from the region of Eastern Thessaly showed elevated concentrations of As and Sb. Factor analysis explained 77.8% of the total variance of the data through five factors. Concentration of Br, Cl, Mg, Na and Si is directly related to the presence of saltwater in the aquifer, so grouping of these variables in factor 1 probably reflects the seawater intrusion. Al, As and Sb are known to form complexes in the environment, so grouping of these elements in factor 2 indicates their similar geochemical behaviour in the environment. The high negative loading of Mn in factor 2 indicates the presence of manganese oxides–hydroxides in the study area. Pb and Zn are associated together in sulphide mineralisation; so grouping of these elements in factor 3 reflects the sulphide mineralization paragenesis in the Melivoia area. P and Cu are associated together in phosphate fertilizers; so grouping of these variables in factor 4 could be related to agricultural practices. Cr, Fe, Mn and Mg are associated together in iron and manganese oxides–hydroxides and the weathering products of the olivine of the ultrabasic rocks; so grouping of these elements in factor 5 reflects the lithology of the area. There is a natural contamination of groundwaters with elevated concentrations of As and Sb due to the presence of the arsenopyrite and stibnite mineralisation in the Melivoia, Sotiritsa and Ano Polydendri areas. Contamination over the health-based drinking water guidelines given by EC and EPA has been investigated from nine sampling sites out of 26 of Eastern Thessaly region.     

基于文献记录的黑河流域历史时期旱涝特征分析

流域的旱涝灾害特征及其变化规律是流域水资源演变研究的重要内容。利用历史文献资料重建了西北内陆河黑河流域公元0-1949年的旱涝灾害等级序列,结合滑动平均、小波变换处理等方法,探讨了流域历史时期旱涝等级的频数特征、旱涝变化的周期特征及其与气候冷暖和人类活动之间的关系。对公元1000年以后的旱涝灾害规律进行分析,结果表明：流域存在5个旱灾高发阶段（1230-1270年、1430-1530年、1640-1760年、1860-1890年、1900-1940年）,3个涝灾高发期（1650-1690年、1730-1790年、1830-1910年）,并呈现出旱涝灾害频发的态势;1000-1949年期间,流域旱涝灾害存在4个准周期变化,对比发现这与太阳黑子活动等环境变化周期有紧密的联系;1580年以前,气候冷暖是影响旱涝灾害发生的主要因子,但16世纪以后,旱涝灾害交替频发,很可能是人类活动加剧了该现象。所以,定量辨析自然因素和人类活动对流域旱涝灾害的影响将是未来研究的重点方向。     

Evaluation of risk concepts in partial duration series

Conventional design practice aims at obtaining optimal estimates of floods with specified exceedance probabilities. Such estimates are, however, known on the average to be exceeded more frequently than expected. Alternatively, methods focusing on the expected exceedance probability can be used. Two different methods are considered here; the first is based on the sample distribution of true exceedance probabilities. The second is a Bayesian analogue using the likelihood function and a noninformative prior to describe the variability of exceedance probabilities. Appropriate analytical solutions are presented in both cases using the partial duration series approach.     

Perceptual models of uncertainty for socio-hydrological systems: a flood risk change example

ABSTRACT

Characterizing, understanding and better estimating uncertainties are key concerns for drawing robust conclusions when analyzing changing socio-hydrological systems. Here we suggest developing a perceptual model of uncertainty that is complementary to the perceptual model of the socio-hydrological system and we provide an example application to flood risk change analysis. Such a perceptual model aims to make all relevant uncertainty sources – and different perceptions thereof – explicit in a structured way. It is a first step to assessing uncertainty in system outcomes that can help to prioritize research efforts and to structure dialogue and communication about uncertainty in interdisciplinary work.     

The incorporation of stochasticity in risk analysis and management: a case study

 The selection of optimal management strategies for environmental contaminants requires detailed information on the risks imposed on populations. These risks are characterized by both inter-subject variability (different individuals having different levels of risk) and by uncertainty (there is uncertainty about the risk associated with the Yth percentile of the variability distribution). In addition, there is uncertainty introduced by the inability to agree fully on the appropriate decision criteria. This paper presents a methodology for incorporating uncertainty and variability into a multi-medium, multi-pathway, multi-contaminant risk assessment, and for placing this assessment into an optimization framework to identify optimal management strategies. The framework is applied to a case study of a sludge management system proposed for North Carolina and the impact of stochasticity on selection of an optimal strategy considered. Different sets of decision criteria reflecting different ways of treating stochasticity are shown to lead to different selections of optimal management strategies.     

State-of-the-art of geotechnical earthquake engineering practice

Major developments in geotechnical earthquake engineering practice over the last 15 years are reviewed. The objectives of the review are to present a coherent view of the current state of practice at the highest level and to examine trends, which may shape practice in the future. Developments are described in the following areas: specification of design ground motions, dynamic response analysis, evaluation of liquefaction potential, evaluation of residual strength of liquefied soil, post-liquefaction displacement analysis, and seismic risk analysis.     

电网磁暴灾害风险影响因素研究综述

磁暴是源自太阳磁场剧烈变化的地球空间效应,随着电网规模的增大和电压等级的增高,磁暴灾害已经成为诱发电网故障风险的威胁之一.研究电力系统磁暴灾害风险的影响因素可为预防与控制其引发的电网事故提供重要参考.在分析历史典型磁暴事件的基础上,剖析了磁暴诱发电力系统故障的机理,阐述了故障传播与电力系统响应的过程,总结了近年来关于影响电力系统的地磁感应电流水平及其产生的变压器无功损耗方面的研究成果,从磁暴本身的特点和电力系统的参数与结构两方面将影响因素分类.以GIC标准模型,通过改变磁暴扰动环境和电力系统参数,说明了各因素对电网磁暴灾害风险的影响程度,并比较了不同因素影响后果的差异,最后指出了尚未解决的问题和可能的研究方向.     

Prevalence and distribution of fecal indicator organisms in South Florida beach sand and preliminary assessment of health effects associated with beach sand exposure

Fecal indicator levels in nearshore waters of South Florida are routinely monitored to assess microbial contamination at recreational beaches. However, samples of sand from the surf zone and upper beach are not monitored which is surprising since sand may accumulate and harbor fecal-derived organisms. This study examined the prevalence of fecal indicator organisms in tidally-affected beach sand and in upper beach sand and compared these counts to levels in the water. Since indicator organisms were statistically elevated in sand relative to water, the study also considered the potential health risks associated with beach use and exposure to sand. Fecal coliforms, Escherichia coli, enterococci, somatic coliphages, and F(+)-specific coliphages were enumerated from sand and water at three South Florida beaches (Ft. Lauderdale Beach, Hollywood Beach, and Hobie Beach) over a 2-year period. Bacteria were consistently more concentrated in 100g samples of beach sand (2-23 fold in wet sand and 30-460 fold in dry sand) compared to 100ml samples of water. Somatic coliphages were commonly recovered from both sand and water while F(+)-specific coliphages were less commonly detected. Seeding experiments revealed that a single specimen of gull feces significantly influenced enterococci levels in some 3.1m(2) of beach sand. Examination of beach sand on a micro-spatial scale demonstrated that the variation in enterococci density over short distances was considerable. Results of multiple linear regression analysis showed that the physical and chemical parameters monitored in this study could only minimally account for the variation observed in indicator densities. A pilot epidemiological study was conducted to examine whether the length of exposure to beach water and sand could be correlated with health risk. Logistic regression analysis results provided preliminary evidence that time spent in the wet sand and time spent in the water were associated with a dose-dependent increase in gastrointestinal illness.     

Evaluation of a recently proposed record selection and scaling procedure for low‐rise to mid‐rise reinforced concrete buildings and its use for probabilistic risk assessment studies

This paper evaluates a recent record selection and scaling procedure of the authors that can determine the probabilistic structural response of buildings behaving either in the elastic or post‐elastic range. This feature marks a significant strength on the procedure as the probabilistic structural response distribution conveys important information on probability‐based damage assessment. The paper presents case studies that show the utilization of the proposed record selection and scaling procedure as a tool for the estimation of damage states and derivation of site‐specific and region‐specific fragility functions. The method can be used to describe exceedance probabilities of damage limits under a certain target hazard level with known annual exceedance rate (via probabilistic seismic hazard assessment). Thus, the resulting fragility models can relate the seismicity of the region (or a site) with the resulting building performance in a more accurate manner. Under this context, this simple and computationally efficient record selection and scaling procedure can be benefitted significantly by probability‐based risk assessment methods that have started to be considered as indispensable for developing robust earthquake loss models. Copyright © 2013 John Wiley & Sons, Ltd.