基于地形分区的射线跟踪法加速方法的研究

通过分析影响射线跟踪法计算效率的因素,提出一种基于多线程的用于开放地理环境中的射线跟踪加速方法,以提高射线跟踪法在计算机仿真中的计算效率。该方法应用于特定复杂战场电磁环境,根据电磁波射线传播特性,采用对地形分区的途径减少射线与规则三角面地形面的求交次数,同时使用多线程追踪单个辐射源的射线路径。经过对方法进行仿真计算,验证该方法的有效性。     

Causes of change in nitrophytic and oligotrophic lichen species in a Mediterranean climate: impact of land cover and atmospheric pollutants

With the aim of determining the main drivers of changes in nitrophytic and oligotrophic macro-lichen communities in an industrial region with a Mediterranean climate, we considered both land-cover types and atmospheric pollutants. We determined the relation between the abundance of nitrophytic and oligotrophic species with environmental factors considering the distance of influence of land-cover types. The results showed that oligotrophic species decreased in the proximity of artificial areas, barren land and agricultural areas, associated with higher concentrations of NO₂ and Zn, and Ti, probably dust of industrial and agricultural origin. Nitrophytic species were positively related to all the mentioned land-cover types, and with higher concentrations of Fe and N. Magnesium, probably from ocean aerosols, was negatively related to oligotrophic species and positively to nitrophytic.     

Contribution of sociodemographic characteristics, occupation, diet and lifestyle to DDT and DDE concentrations in serum and adipose tissue from a Bolivian cohort

The organochlorine pesticide p,p′-Dichlorodiphenyltrichloroethane (DDT) was widely used in the early 1960s-70s for vector control in tropical and subtropical areas of South America. Due to its persistence, DDT has a high potential to bioaccumulate in the food chain and living organisms and is a major public health concern, especially in South America.The main purpose of the present study was to investigate predictors of serum and adipose tissue concentrations of p,p′-DDT and its main metabolite, p,p′-dichlorodiphenyldichloroethylene (p,p′-DDE), in an adult cohort (n = 112) from Santa Cruz de la Sierra, Bolivia, using multiple linear regression models. These models explained 29.3-47.8% of the variability in adipose tissue concentrations of p,p′-DDT and p,p′-DDE, respectively, and 32.9-47.0% of that in serum. Main exposure predictors included age, occupational class, residence, diet, smoking habit, and accumulated breastfeeding time.This is one of the few studies to explore predictors of human exposure to these chemicals using a multivariate approach in a South American population. Results show that predictors of human exposure to p,p′-DDT and p,p′-DDE in Santa Cruz de la Sierra may diverge from those found in other populations of the world, due to particular sociodemographic and lifestyle characteristics of this region.     

杭州啤酒厂清洁生产示范工程回顾评价和追踪评价

通过对杭州啤酒厂清洁生产示范工程的回顾评价和追踪评价，不仅可再现以往的成果，而且可了解该示范工程的进一步发展情况，有利于对示范工程长期效益进行评估和示范工程的成败进行总结，因此，这是一项务实的制度。     

三江源区东西样带土壤侵蚀的

运用137Cs和210Pb_ex联合示踪技术,考察青藏高原三江源区东西样带137Cs和210Pb_ex面积浓度的背景值和变化特征,以及东西样带土壤侵蚀速率、分布特征和主要影响因素. 结果表明:①青藏高原三江源区东西样带137Cs和210Pb_ex面积浓度背景值分别为453～1 714和2 612～7 377 Bq/m2,137Cs和210Pb_ex背景值从西向东样带随海拔高度的变化差异明显.137Cs(x)和210Pb_ex(y)面积浓度的背景值区域分布呈显著线性相关,相关性关系式为y3.587　2x+1　463.4,R20.951　7.②长江源区沱沱河137Cs的示踪结果表明,以沱沱河为中心的长江源区是典型的风蚀区,年侵蚀速率2.5 t/(hm2·a),该区是青藏高原重要的沙尘暴源区之一.③黄河源区玛多典型坡面137Cs和210Pb_ex的示踪结果表明,近40年来,玛多畜牧业为主的人类活动造成的土壤扰动比自然因素的影响大.④玛沁东倾沟乡和军牧场的比较研究结果表明,玛沁东倾沟乡高山草甸的水土保持效果较好,而玛沁军牧场的畜牧业活动造成了地表土壤的强烈扰动.⑤玛沁军功镇典型水蚀地貌土壤剖面137Cs和210Pb_ex的结果表明,20世纪50—60年代,该区的极端暴雨事件导致了严重的水土流失,土壤剖面中出现137Cs和210Pb_ex的空白区. 植被破坏导致玛沁军功镇出现了严重水蚀,净侵蚀速率为8.0 t/(hm2·a).⑥近40年来,随着人类活动的加剧和全球气候变暖,导致青藏高原三江源区出现了沙尘暴的传输源地.      

Evaluation of the temporal variations of air quality in Taipei City, Taiwan, from 1994 to 2003

Data collected from the five air-quality monitoring stations established by the Taiwan Environmental Protection Administration in Taipei City from 1994 to 2003 are analyzed to assess the temporal variations of air quality. Principal component analysis (PCA) is adopted to convert the original measuring pollutants into fewer independent components through linear combinations while still retaining the majority of the variance of the original data set. Two principal components (PCs) are retained together explaining 82.73% of the total variance. PC1, which represents primary pollutants such as CO, NO(x), and SO(2), shows an obvious decrease over the last 10 years. PC2, which represents secondary pollutants such as ozone, displays a yearly increase over the time period when a reduction of primary pollutants is obvious. In order to track down the control measures put forth by the authorities, 47 days of high PM(10) concentrations caused by transboundary transport have been eliminated in analyzing the long-term trend of PM(10) in Taipei City. The temporal variations over the past 10 years show that the moderate peak in O(3) demonstrates a significant upward trend even when the local primary pollutants have been well under control. Monthly variations of PC scores demonstrate that primary pollution is significant from January to April, while ozone increases from April to August. The results of the yearly variations of PC scores show that PM(10) has gradually shifted from a strong correlation with PC1 during the early years to become more related to PC2 in recent years. This implies that after a reduction of primary pollutants, the proportion of secondary aerosols in PM(10) may increase. Thus, reducing the precursor concentrations of secondary aerosols will be an effective way to lower PM(10) concentrations.     

Using Sediment Budgets to Investigate the Pathogen Flux Through Catchments

We demonstrate a materials budget approach to identify the main source areas and fluxes of pathogens through a landscape by using the flux of fine sediments as a proxy for pathogens. Sediment budgets were created for three subcatchment tributaries of the Googong Reservoir in southeastern New South Wales, Australia. Major inputs, sources, stores, and transport zones were estimated using sediment sampling, dam trap efficiency measures, and radionuclide tracing. Particle size analyses were used to quantify the fine-sediment component of the total sediment flux, from which the pathogen flux was inferred by considering the differences between the mobility and transportation of fine sediments and pathogens. Gullies were identified as important sources of fine sediment, and therefore of pathogens, with the pathogen risk compounded when cattle shelter in them during wet periods. The results also indicate that the degree of landscape modification influences both sediment and pathogen mobilization. Farm dams, swampy meadows and glades along drainage paths lower the flux of fine sediment, and therefore pathogens, in this landscape during low-flow periods. However, high-rainfall and high-flow events are likely to transport most of the fine sediment, and therefore pathogen, flux from the Googong landscape to the reservoir. Materials budgets are a repeatable and comparatively low-cost method for investigating the pathogen flux through a landscape.     

挥发回转窑处置钢丝绳行业污泥的污染物排放研究

通过利用挥发回转窑处置钢丝绳行业污泥的工业化试验,测定了烟气排放参数及污染物排放指标,分析了污泥添加对挥发回转窑烟气排放的影响程度及各项污染物指标之间的相关性。结果表明,污泥添加量18%～22%,对挥发回转窑烟气排放无影响,烟尘、SO2、氮氧化物、Zn、Pb、HCl等各项污染物指标均符合国家控制标准;烟尘排放浓度与Pb、Zn排放浓度呈显著正相关;SO2排放浓度与烟气含氧量、空气过剩系数、排放浓度呈显著负相关。通过控制烟气中烟尘浓度可减少Zn、Pb的排放,在满足SO2排放浓度达标的同时,还应加强工艺供氧量的管理,控制的产生,减少烟气对生产设备的腐蚀。     

应用铅锶同位素示踪研究泉州某林地垂直剖面土壤中重金属污染及来源解析

分别用原子吸收光谱仪(AAS)和电感耦合等离子体质谱仪(ICP-MS)分析了泉州市某林地垂直剖面土壤中8种重金属元素(Sr、Ni、Fe、Cr、Cu、Mn、Pb、Zn)的含量及垂直剖面土壤的铅锶同位素组成,并采用BCR四步提取法对重金属形态进行了分析.重金属总量及形态分析结果表明,泉州市林地土壤重金属污染较轻,主要污染因子为Sr.Pb的非残渣态含量最高,活性最大.内梅罗综合污染指数的评价结果表明,Sr在0~60 cm深度处达到重度污染.次生相与原生相比值法评价结果表明,Pb活性最强,对土壤的潜在危害最大;富集因子计算结果表明,Pb、Sr、Mn、Zn受到外源的影响;因子分析结果表明,重金属主要受到交通源、自然源和农业生产的影响.根据垂直剖面土壤样品与泉州市潜在污染源在~(206)Pb/~(207)Pb-~(207)Pb/~(204)Pb图中的分布特征,Pb主要来源于汽车尾气尘和土壤母质层,利用铅同位素二元混合模型计算出土壤母质层对垂直剖面土壤中铅的贡献率为85.14%(62.53%~98.36%),汽车尾气尘的贡献率平均值为14.86%(1.640%~37.47%).锶同位素示踪结果表明,锶主要来源于汽车尾气尘和土壤母质.铅锶同位素联合示踪结果与前述研究一致.     

潜在危害性指数法在筛选污染因子中的应用

介绍了潜在危害性指数法的基本原理和计算公式，通过某大型化工企业的实例，提出了应用的要求，并筛选出了企业的９项主要的环境监测因子。