米泉市大气污染与气象因子变化特征分析

通过对米泉市大气污染状况进行分析,揭示大气污染与其所处的地理特征、气象特征的关系,并对大气污染物TSP、降尘污染与气象因子变化特征进行分析,进一步阐述尘污染是影响米泉市大气环境质量的重要指标。     

兽药抗生素对生态环境的混合毒性研究进展

抗生素是环境中普遍存在的污染物,畜牧水产养殖是其主要来源之一.环境中可能同时存在多种抗生素残留,因此单一药物的毒性评价难以反映抗生素对生态环境的影响,应探究其混合物的毒性效应.本文在总结大量文献的基础上,介绍了兽用抗生素的残留现状,总结了兽用抗生素对生态环境的混合毒性研究进展,讨论了兽用抗生素残留对土壤生物和水生生物的...     

天津地区集装箱内部低温环境条件研究

以天津地区冬季采用集装箱储存货物为背景,在天津对集装箱内部温度和大气温度等数据进行测试,对数据进行回归分析后,建立集装箱内部温度模型,预测出该地区集装箱内部最恶劣的低温极值范围,为危险货物集装箱安全储运提供理论依据,并提出了相应的对策及建议。     

基于GIS的北京市妫水河流域水土流失的初步分析

基于ArcGIS空间分析平台和ERDAS空间建模平台,利用水土流失综合指数法,分别以坡度、植被覆盖度和土地利用类型为主要背景因子,分析了北京市妫水河流域水土流失的空间背景特征.结果表明,妫水河流域水土流失的空间背景特征是缓坡、低植被覆盖度和疏林灌草地,而这些特征正是妫水河流域山前洪冲积扇地区的主要特点,缓坡、低植被覆盖度(不考虑城市建成区)和疏林灌草地也主要集中在流域内山前洪冲积扇地区.并提出防治妫水河流域水土流失的有效措施.      

蒽降解菌与铜绿假单胞菌融合子的特性研究

将蒽降解菌An815和绿色荧光蛋白标记铜绿假单胞菌(Pseudomonas aeruginosa/EGFP)P原生质体融合,得到了既能高效降解蒽,又能产生生物表面活性剂的融合子F。研究了它的形态特征、生理生化特性、产表面活性剂的能力、对蒽的降解性能及生长繁殖情况。结果表明,融合子菌落和菌体形态,产脓青素,荧光色素的特性类似于铜绿假单胞菌亲本,但其大多生理生化特性酷似An815亲本而不同于铜绿假单胞菌亲本;融合子有较好产表面活性剂的能力,72 h内将表面张力由70.2 mN/m降至36.5mN/m;在蒽的反应体系中,32h内融合子和亲本An815对蒽的降解转化率分别为86.7%,59.4%,融合子对蒽的降解速率比An815提高了27.3%;在蒽的反应体系中融合子和亲本生长曲线相似。     

家蝇AChE检测毒死蜱残留的最佳条件研究

以纯化的家蝇(Museadomestica)乙酰胆碱酯酶(AChE)为试验材料,研究了缓冲液pH值、底物(ATCh)浓度、温度三个因素对酶活性的影响。结果表明:在pH值为8.5￣9.0,温度为30℃,底物浓度为2.5mmol/L的条件下,该酶具有最大活性。在此基础上,测定了不同pH值的缓冲反应体系和不同抑制时间条件下毒死蜱(Chiorpyifos)对AChE活性的抑制,发现pH值为8.0时AChE对毒死蜱最为敏感,而且对毒死蜱具有良好的线性响应关系(R2=0.9973),半抑制浓度仅为39.1μg/(L抑制时间为20min),检测下限为4.4μg/L。随着抑制时间的延长,毒死蜱对AChE的抑制程度逐渐增强,检测限可进一步降低。可见家蝇AChE是指示环境中毒死蜱污染程度的良好材料。     

复合污染状态下尾矿区有害化学品的迁移研究

用混合尾矿浆及尾矿渣淋溶柱,研究选矿药剂在尾矿渣及尾矿废水中的静态分布及其淋溶作用,结果表明:①选矿药剂对整个尾矿区都污染,即使是水溶性好的药剂,它们在尾矿渣中的静态分布也占有相当的比例,油溶性好的药剂多存在于尾矿渣中,尾矿污染为多种药剂的复合污染,各种药剂在尾矿渣及尾矿废水中的总浓度成倍加大;②用尾矿渣淋溶柱测得单一药剂的淋溶值:25号黑药>MIBC> CN->二号油>乙基黄药>丁基黄药>Y-89黄药.但多种药剂复合污染时,药剂的淋溶距离明显加大,其中CN-和Y-89黄药加大近一倍.复合药剂污染加大药剂的残留期,也加大它们向地下水及其它水源迁移的几率.     

运用QSPR预测有机磷农药的色谱保留值

通过计算43种有机磷农药的各种结构参数,运用多元线性回归分析方法比较了适用于有机磷农药色谱保留值的定量关系表达式,建立了有机磷农药结构参数对色谱保留值的QSPR模型.模型分析表明:磷酸酯与硫逐磷酸酯两类有机磷农药的模型非交叉验证相关系数R2分别为0.991和0.998,标准误差SE分别为0.0539和0.2874,交叉验证相关系数Q2分别为0.976和0.990,标准偏差Scv分别为0.086和0.610.在已知磷酸酯与硫逐磷酸酯两类有机磷农药结构参数的情况下,此模型可有助于有机磷农药的色谱分析.     

Discovering meaningful information from large amounts of environment and health data to reduce uncertainties in formulating environmental policies

This study uses knowledge discovery concepts to analyze large amounts of data step by step for the purpose of assisting in the formulation of environmental policy. We performed data cleansing and extracting from existing nation-wide databases, and used regression and classification techniques to analyze the data. The current water hardness in Kaohsiung, Taiwan contributes to the prevention of cardiovascular disease (CVD) but exacerbates the development of renal stones (RS). However, to focus on water hardness alone to control RS would not be cost effective at all, because the existing database parameters do not adequately allow for a clear understanding of RS. Analysis of huge amounts of data can most often turn up the most reliable and convincing results and the use of existing databases can be cost-effective.     

Assessing Impacts of Typhoons and the Chi-Chi Earthquake on Chenyulan Watershed Landscape Pattern in Central Taiwan Using Landscape Metrics

The Chi-Chi earthquake (M_L = 7.3) occurred in the central part of Taiwan on September 21, 1999. After the earthquake, typhoons Xangsane and Toraji produced heavy rainfall that fell across the eastern and central parts of Taiwan on November 2000 and July 2001. This study uses remote sensing data, landscape metrics, multivariate statistical analysis, and spatial autocorrelation to assess how earthquake and typhoons affect landscape patterns. It addresses variations of the Chenyulan watershed in Nantou County, near the earthquake’s epicenter and crossed by Typhoon Toraji. The subsequent disturbances have gradually changed landscape of the Chenyulan watershed. Disturbances of various types, sizes, and intensities, following various tracks, have various effects on the landscape patterns and variations of the Chenyulan watershed. The landscape metrics that are obtained by multivariate statistical analyses showed that the disturbances produced variously fragmented patches, interspersed with other patches and isolated from patches of the same type across the entire Chenyulan watershed. The disturbances also affected the isolation, size, and shape-complexity of patches at the landscape and class levels. The disturbances at the class level more strongly affected spatial variations in the landscape as well as patterns of grasslands and bare land, than variations in the watershed farmland and forest. Moreover, the earthquake with high magnitude was a starter to create these landscape variations in space in the Chenyulan watershed. The cumulative impacts of the disturbances on the watershed landscape pattern had existed, especially landslides and grassland in the study area, but were not always evident in space and time in landscape and other class levels.