水力旋流除砂器处理油田采出砂技术

我国部分油田原油生产出砂严重，经常造成集输处理系统的严重磨损和堵塞，储油罐严重积砂，不能实现密闭。储油罐清砂完全靠人工完成，劳动强度大，而且造成环境污染。在海上平台，若采出砂含油量不达标排入海洋，则会给海洋带来严重的污染，因此，采出砂处理是急待解决的问题。文章根据国内外采出砂处理技术调研，介绍了水力旋流器除砂技术原理及工艺和在国外应用实例以及该技术在我国油田的开发应用情况。     

五氯酚对环境污染及居民健康影响研究

中国长期以来使用五氯酚纳盐杀灭亡血吸虫的中间宿主──—钉螺．为评价它对环境的污染及居民健康危害，１９９０－１９９３年在我省开展了五氯酚环境污染及对居民健康影响研究．在研究区采集环境样品（空气、水体、土壤及底泥、蔬菜、肉、蛋、鱼等）共１７３份；生物材料（人血、尿）共４５７份，分析五氯酚浓度．结果在明，在五氯酚使用区，环境中ＰＣＰ浓度稍高于对照区，而生物材料尿、血中ＰＣＰ浓度明显高于对照区．全血胆碱脂酶活性用药区明显低于对照区，统计学分析有显著差异（Ｐ＜０．００１），证实了长期低剂量使用可造成环境及生物蓄积．     

彭州市环境空气质量变化趋势及规律分析

“九五”期间 ,彭州市环境空气监测主要因子有二氧化硫、二氧化氮、总悬浮颗粒物、降尘和降水。市区空气中主要污染物排序依次为降尘、总悬浮颗粒物、二氧化硫、二氧化氮。其季节变化规律一般为第一季度 >第二季度 >第四季度 >第三季度。主要污染物年变化依次为降尘、总悬浮颗粒物、二氧化硫、二氧化氮 ,在“九五”期间除降尘量出现缓慢下降趋势外 ,其余 3项均不明显。     

孤岛油区外排采油污水生化处理技术的研究

针对孤岛污水矿化度高,Cl-含量高,油含量和COD含量严重超标的现象,采取微生物接触氧化工艺进行外排采油污水治理的工艺研究。在处理过程中首先对菌种进行了严格的筛选和培养,然后在室内进行了模拟试验,最后在现场进行了中试。目前已根据中试结果,对孤岛污水原有的污水池进行了改造,设置了隔油池、气浮池、接触氧化池和沉淀池四个部分,经过一年的运行,成功地实现了污水的达标排放。     

国内外大城市防灾减灾管理模式的比较研究

城市综合防灾减灾管理是城市管理的一个重要组成部分。上海综合减灾体系目前尚不够完善，城市抗灾能力仍较薄弱。本文通过对国外大城市减灾管理模式的比较和研究，分析了目前上海市减灾管理模式的现状和问题，提出了改进目前上海市灾害管理模式的措施建议。     

太湖流域主要城市洪涝灾害生态风险评价

太湖流域有上海，苏州，无锡，常州，镇江，杭州，嘉兴，湖州八个大中城市，是我国产业最集中，工农业最发达的地区之一，但该地区洪涝灾害频繁，这不仅制约了流域中各城市经济的发展，还严重威胁到该地区城市的生存平衡，本文根据生存风险评价原理，结合太湖流域的自然特点，提出成因分析法的指标模型。并通过分析太湖流域八个大中城市的汛期降雨量和地形地貌因子对洪涝灾害生态风险的影响度，得出各个城市洪涝灾害的生态风险度，最后还根据各城市风险度的大小及其主导因素的不同，提出了如何管理洪涝灾害生态风险的建议。     

泥石流入汇的危险性判别指标

通过对比单沟和区域泥石流危险性的评估方法 ,提出了利用影响度、危险度和危害度 3项指标判别汇流区泥石流入汇危险性的设想 ,分析了泥石流入汇可能引起堵江的影响因子。作为尝试 ,给出了判别指标的计算公式 ,经实例验证具有较好的实用性 ,可作为规划设计的技术依据。     

陕西汉中“98.7”洪涝灾害剖析

对汉中市１９９８年７月上旬的雨情、灾情作了初步统计,分析了致灾原因及经验与教训。     

The role of condensed organic matter in the nonlinear sorption of hydrophobic organic contaminants by a peat and sediments

This study examines the effect of soil organic matter heterogeneity on equilibrium sorption and desorption of phenanthrene, naphthalene, 1,3,5-trichlorobenzene (1,3,5-TCB), and 1,2-dichlorobenzene (1,2-DCB) by soils and sediments. Two estuary sediments, a Pahokee peat (PP; Euic, hyperthermic Lithic Haplosaprist), and two subsamples (base- and acid-treated peat [TP] and acid-treated peat [FP]) of the peat were used as the sorbents. The contents of black carbon particles were quantified with a chemical extraction method. Petrographical examinations revealed the presence of the condensed soil and sediment organic matter (SOM) in Pahokee peat. The Freundlich isotherm model in two different forms was used to fit both sorption and desorption data. The results show that the sorption and desorption isotherms are generally nonlinear and that the apparent sorption-desorption hysteresis is present for phenanthrene and TCB. Detailed analysis of sorption data for the tested sorbent-sorbate systems indicates that black carbon is probably responsible for sorption isotherm nonlinearity for the two sediments, whereas the humic substances and kerogen may play the dominant role in nonlinear sorption by the peat. This investigation suggests that the microporosity of SOM is important for the hydrophobic organic contaminant (HOC) sorption capacity on the peat.     

Spatial and temporal modeling of microbial contaminants on grazing farmlands

This paper introduces an integrated spatial and temporal modeling system developed mathematically for assessing microbial contaminants on animal-grazed farmlands. The model uses fecal coliform, specifically Escherichia coli, as an indicator of fecal contamination and describes the sources, sinks, transport processes, and fate of E. coli contaminants in catchments and associated streams. Spatial features include grazing location, land topography, distance to a nearby stream, and distance through the stream network to the outlet. Temporal features are population dynamics on the land surface, in flow, and on streambeds. The model applies the principles of conservation of mass balance on two different types of pools: grid cells on land surfaces and networked stream segments. The model aims to improve the prediction of the effects of different land management strategies on the fecal contamination of waterways. This is achieved by characterizing the movement of fecal contaminants from land to streams and in-stream mobilization. Processes of attenuation, diffusion, and transport govern the movement. Our study site is a hill land catchment with an area of 140 ha and is used exclusively for animal grazing. The model was calibrated with previous research results, and then tested using the data collected at the outlet of the catchment. The sensitivity of the model predictions was analyzed for different scenarios: effect of stock rate, attenuation rate, and flow volumes. The similar pattern between monitored and predicted E. coli concentration proved that the model captures the key features that control the population dynamics of fecal contaminants. Further experiments are required to expand the model's functionality for covering more mitigation options.