青岛地区总悬浮颗粒物中金属元素沉降通量

于2001 05～2002 04在青岛近海三个采样点采集了100多个大气气溶胶样品,用ICP测定了元素Al、Fe、Mn、Cu、Pb、Zn的浓度,讨论了这几种元素入海通量的季节变化和年平均值。结果表明,三类地壳元素春季在青岛近岸海域的沉降通量占全年的50%以上,而夏季不到10%;Cu秋季≈冬季(各占30%左右)>春季>夏季;Pb、Zn四季沉降通量的变化规律为冬季>春季>秋季>夏季。     

太湖水-气界面CO2交换通量观测研究

基于2003-01～2005-06利用静态箱法对太湖水-气界面CO₂交换通量的观测,对太湖水-气界面交换通量的变化特征进行了分析研究.结果表明:太湖水-气界面CO₂交换通量存在明显的日变化,春、夏、秋、冬4季日平均通量分别为-0.79mg/(m²·h)、-4.89 mg/(m²·h)、-4.06 mg/(m²·h)和-2.56 mg/(m²·h),太湖均是CO₂的汇.一般污染越重的区域,CO₂通量值越大.藻型湖区水-气界面CO₂交换通量季节变化不明显,草型湖区水-气界面CO₂交换通量季节变化很明显,夏秋季高,冬春季低.CO₂通量变化的可能相关因子还有天气情况、太阳辐射、风速及水温、pH、TA、Chla、TC、TN和TP等.     

淮河流域旱涝易发区农田的陆气相互作用——CO2通量、能量交换和水汽输送的季节变化特征

利用淮河流域旱涝易发区的安徽省寿县农田下垫面陆气相互作用观测试验资料,重点分析观测期内CO2通量、能量交换和水汽输送的季节变化,并讨论了与此有关的辐射分量通量、下垫面反射率、波恩比、能量闭合守恒、土壤温度和土壤湿度的季节变化.结果表明CO2通量、能量分配受地表农作物长势影响明显,其中,水稻灌浆、成熟期,被稻田吸收的CO2通量最大可超过2 mg·m-2·s-1,潜热通量达到正的极大值.稻田光合作用最旺盛时期吸收的CO2通量和释放的潜热通量均大于小麦田光合作用最旺盛时期的对应量.较大土壤热通量对应于较低的土壤水含量.试验观测期的下垫面平均反射率为0.14.作物生长期,稻田表面潜热是下垫面吸收能量的主要消费者,小麦田表面潜热和感热相当.能量闭合率ε的变化范围为0.4～1.     

有毒有害蒸气云扩散的危害估算

因事故排放形成的有毒有害蒸气云,有可能造成爆炸、火灾、中毒等危害后果,但危害后果的大小(危害程度),则与事故造成危害的时刻(延迟时间)有关。笔者在以往研究成果基础上,考虑该因素,并通过引入正态分布假设,时、空变换及误差分析,给出了估算危害程度(特别是延迟爆炸危害)的有效而简便方法,补充了以往危害估算方法(不考虑延迟时间)的不足,提高了危害后果估算精度,可广泛应用于生产安全评价、环境风险评价、风险工程设计、事故应急预案、事故应急救援等工作领域,对于保障环境安全具有显著的科学价值与现实意义。     

MODELING THE IMPACT OF MULTICOMPONENT VOCs ON GROUND WATER USING THE STEFAN‐MAXWELL EQUATION1

ABSTRACT: Computer programs that model the fate and transport of organic contaminants through porous media typically use Fick's first law to calculate vapor phase diffusion. Fick's first law, however, is limited to the case of a single, dilute species diffusing into a stagnant, high concentration, bulk vapor phase. When dealing with more than one diffusing species and at higher concentrations, the multicomponent coupling effects on vapor phase diffusion and advection of the various constituents become significant. VLEACH, a one‐dimensional finite difference model developed for the U.S. Environmental Protection Agency (USEPA), is typical of the models using Fick's first law to model vapor‐phase diffusion. The VLEACH model was modified to accommodate up to 10 components and to calculate the binary diffusion coefficients for each of the components based on molecular weight, molecular volume, temperature and pressure, and to address the coupling effects on multiple component vapor phase diffusion and its impact on ground water. The resulting model was renamed MC‐CHEMSOIL. At low vapor phase concentrations, MC‐CHEMSOIL predicts identical ground water impacts (dissolved phase loading) to those from VLEACH 2.2a. At higher vapor phase concentrations, however, the relative difference between the models exceeded 20 percent.     

利用信息扩散模式对安徽及华东地区地震的风险分析

本文利用信息扩散模式,分别从年地震频次和年最大震级两个方面对安徽及华东地区的地震风险进行评估.结果显示:安徽地区ML≥3.0地震,年频次4次以上,约两年一遇;年发生ML≥3.9地震,则3年可能遇一次.而华东地区ML≥4.0地震,年频次4次以上,大约3年一遇;年发生ML≥4.9的地震,则可能2年遇一次.     

自然灾害风险区划图的一个潜在发展方向

由于自然灾害系统的复杂性及数据资料的不完备性,人们不可能精确估计任何自然灾害发生的概率,"概率值估不准"是现有超越概率风险区划图的致命弱点.简要回顾了针对这一问题已进行的提高估计精度和进行模糊风险计算的有关研究,并将模糊风险研究引入风险区划图的编制,给出了自然灾害软风险区划图的定义和一个初步的样式.讨论了这种风险图在体现风险值估不准方面,以及在为用户提供更多风险信息,为决策者提供调整余地等方面的优点.研究结果表明,软风险区划图是自然灾害风险区划图的一个潜在发展方向.为推进这一研究领域的发展,对今后的工作提出了一些建议.     

大气环境影响评价工作分级要求要点

根据大气环境影响评价工作的分级要求,提出了针对性的工作要点,以满足大气环境评价工作的需要.     

The Water Fluxes of the Yellow River to the Sea in the Past 50 Years, in Response to Climate Change and Human Activities

Since the 1970s, the water fluxes to the sea of the Yellow River have declined significantly. Based on data of precipitation, air temperature, the measured and “natural” river flow, the water diversion and consumption, and the areas of erosion and sediment control measures over the drainage basin, water fluxes to the sea of the Yellow River are studied in relation with the influences of changing climate and human activities. The Yellow River basin can be divided into different water source areas; multiple regression indicates that the variation in precipitation over different water source areas has different effect on water fluxes to the sea. In the period between 1970 and 1997, averaged air temperature over the whole Yellow River increased by about 1.0°C, from 16.5°C to 17.5°C, a factor that is negatively correlated with the water yield of the Yellow River. Water diversion and consumption has sharply increased and resulted in a significant decline in the water fluxes to the sea. Since the 1960s, erosion and sediment control measures have been practiced over the drainage basin. This factor, to a lesser degree, is also responsible for the decrease in water fluxes to the sea. A multiple regression equation has been established to estimate the change in water fluxes to the sea caused by the changes in precipitation, air temperature, water diversion and consumption, erosion, and sediment control measures, indicating that the contribution of water diversion and consumption to the variation in annual water flux to the sea is 41.3%, that of precipitation is 40.8%, that of temperature is 11.4%, and that of erosion and sediment control measures is 6.5%.