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1.
Matteo Carpentieri Paolo Giambini Andrea Corti 《Environmental Modeling and Assessment》2008,13(3):415-429
Several wind tunnel experiments of tracer dispersion from reduced-scale landfill models are presented in this paper. Different
experimental set-ups, hot-wire anemometry, particle image velocimetry and tracer concentration measurements were used for
the characterisation of flow and dispersion phenomena nearby the models. The main aim of these experiments is to build an
extensive experimental data set useful for model validation purposes. To demonstrate the potentiality of the experimental
data set, a validation exercise on several mathematical models was performed by means of a statistical technique. The experiments
highlighted an increase in pollutant ground level concentrations immediately downwind from the landfill because of induced
turbulence and mean flow deflection. This phenomenon turns out to be predominant for the dispersion process. Tests with a
different set-up showed an important dependence of the dispersion phenomena from the landfill height and highlighted how complex
orographic conditions downwind of the landfill do not affect significantly the dispersion behaviour. Validation exercises
were useful for model calibration, improving code reliability, as well as evaluating performances. The Van Ulden model proved
to give the most encouraging results. 相似文献
2.
The sensitivity of an integrated model to assess the potential for wind-borne spread of foot-and-mouth disease (FMD) to variations
in key parameters controlling different physical and biological processes was evaluated. The estimated number of farms at
risk is sensitive to the virus strain used and the accompanying effective contact rate. The C Noville strain increased the
estimated number of exposed farms ranked as high and medium risk of being infected by a factor of 5, compared to the baseline,
based on the O UKG 2001 strain. The inclusion of a model for biological ageing of the virus can also have a significant effect
on the concentration patterns arising from transport and dispersion of the virus. Its inclusion has the practical advantage
of markedly reducing the time required for the calculations. The estimated number of farms affected by exposure to high and
medium virus concentrations is not grossly sensitive to attenuation caused by temperature or relative humidity effects. Changes
in susceptibility to infection, as determined by the parameter θ in the exposure-risk model, does not change the configuration of the virus plumes, but it does change the distribution of
farms at risk by risk category. These findings suggest that a good understanding of characteristics (excretion rates from
infected animals, susceptibility of different species to infection, virus survival, etc.) of the virus strain involved in
an FMD outbreak is necessary to provide a reliable assessment of the risk of wind-borne spread. In the event of an incursion
of FMD, provision for laboratory studies on the virus will be an essential component of the disease response and should be
factored into contingency plans.
相似文献
X. YangEmail: |
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4.
通过对大气细菌数量、霉菌数量与风速相关性的研究,得出齐市地区冬季气候寒冷,无相关性;春季气候干燥,风沙大,有相关性;雨后大气细菌数量与风速无相关性,大气霉菌数量与风速相关。 相似文献
5.
6.
为了研究来自不同方向的沙尘暴对和田绿洲大气环境质量的影响,本文利用HYSPLIT后向轨迹模型和NCEP的GDAS全球气象要素数据,将和田绿洲西北部的墨玉县城作为模拟受点(37.26°N,79.72°E),计算2016年1月1日—2018年12月31日发生的每一次沙尘天气期间逐日18:00(世界时)36 h后向气流轨迹,轨迹计算起始高度设置为500 m,并结合相应的PM2.5、PM10、SO2、NO2、CO、O3浓度监测数据进行聚类分析,研究抵达该地区的沙尘暴的主要移动轨迹和污染物输送路径.同时,运用潜在源贡献因子分析法(PSCF)和权重污染轨迹分析法,分析了沙尘暴期间不同气流轨迹对墨玉县污染物浓度的影响,识别大气污染物的潜在源区,揭示不同源区对污染物浓度的贡献差异.结果表明,影响和田绿洲(墨玉县)的沙尘暴主要来自西北(WN)、北(N)、东北(EN)和东(E)4个方向;其中,来自东部的沙尘天气频率最高(60.2%),但主要以浮尘天气为主;扬沙和强沙尘暴主要来自西部方向,54.48%的强沙尘暴和38.53%的扬沙来自西和西北方向.不同沙尘源区和不同传输路径上的沙尘气溶胶对和田绿洲大气环境的影响不一样.沙尘天气期间,大气PM2.5和PM10的平均浓度相当于无沙尘天气期间的3~5倍,但对SO2、NO2、CO、O3质量浓度的影响不大;由西向东和由北向南的沙尘暴对墨玉县PM2.5和PM10质量浓度的贡献率最大;由东向西的沙尘暴由于路过和田市和洛浦县等工业污染源区,此簇沙尘暴气团将该区域SO2、NO2、CO等污染颗粒携带到墨玉县,因此,东-东南(E-ES)方向的沙尘暴对SO2、NO2、CO的贡献率分别为15.56%、20.55%和21.57%.本文定量印证了沙尘暴对和田绿洲大气环境质量的影响,可为绿洲区沙尘暴研究提供参考. 相似文献
7.
沙尘暴天气是指强风把地面大量沙尘卷入空中,使空气相当浑浊,使水平能见度小于1千米的灾害性天气。沙尘天气是干旱、半干旱地区特有的一种天气。 相似文献
8.
天然沸石吸附技术防治暴雨径流氮磷污染 总被引:11,自引:0,他引:11
文章介绍了滇池流域水污染现状,阐明了污染的主要原因。指出了沸石优良的吸附和离子交换性能及影响因素。并结合在控制暴雨径流氮磷污染的现场实验,指出其广阔的应用前景。 相似文献
9.
Jonathan B. Butcher 《Journal of the American Water Resources Association》2003,39(6):1521-1528
ABSTRACT: Most watershed water quality simulation models require the user to specify pollutant buildup and washoff rate parameters for pollutants, by land use. Buildup and washoff rates are difficult to measure directly, and only limited guidance and few observed data are available from the literature. Many studies, however, report storm event mean concentrations (EMCs). These EMCs must arise as a result of the buildup and washoff processes, but typically represent the net contribution from a variety of pervious and impervious surfaces. This paper explores the relationship between EMCs and buildup/washoff parameters. An assumption of the mathematical form of the buildup/washoff relationship gives an algebraic expression for the EMC consistent with model assumptions. This yields techniques to separate observed EMCs into contributions from different land uses and from pervious and impervious surfaces. Given this relationship, numerical optimization may be used to estimate site specific values of buildup and washoff parameters from observed storm EMCs for use in modeling. Use of this approach helps ensure that model parameters are consistent with observed data, providing a rational starting point for final model calibration. Several site examples demonstrate use of the method. 相似文献
10.
James L. Clayton Walter F Megahan 《Journal of the American Water Resources Association》1997,33(3):689-703
ABSTRACT: Natural rates of surface erosion on forested granitic soils in central Idaho were measured in 40 m2 bordered erosion plots over a period of four years. In addition, we measured a variety of site variables, soil properties, and summer rainstorm intensities in order to relate erosion rates to site attributes. Median winter erosion rates are approximately twice summer period rates, however mean summer rates are nearly twice winter rates because of infrequent high erosion caused by summer rainstorms. Regression equation models and regression tree models were constructed to explore relationships between erosion and factors that control erosion rates. Ground cover is the single factor that has the greatest influence on erosion rates during both summer and winter periods. Rainstorm intensity (erosivity index) strongly influences summer erosion rates, even on soils with high ground cover percentages. Few summer storms were of sufficient duration and intensity to cause rilling on the plots, and the data set was too small to elucidate differences in rill vs. interrill erosion. The regression tree models are relatively less biased than the regression equations developed, and explained 70 and 84 percent of the variability in summer and winter erosion rates, respectively. 相似文献