大气污染物垂直梯度自动监测系统的研制

设计的大气污染物垂直梯度自动监测系统是用 2个电磁阀实现 3个高度的气体采样 ,依靠分析仪器自身的抽气泵将气体样品通过聚四氟乙烯管抽入各分析仪器进行测量 ,并用一台微机和一块 AD/DA转换板实施对电磁阀的控制和数据采集 .现场观测实验表明 ,对于 25m长的采样管清洗时间可设置 1 min,而采样管长度间的差异不会导致测量 O₃、SO₂、NO和 NO₂ 小时平均浓度存在显著性差异 .     

Effect of soil crust on evaporation and dew deposition in Mu Us sandy land, China

The development of soil crust on sandy land may affect the surface hydrological process. This paper investigates the process of evaporation and dew deposition influenced by different soil surface types which were dominated by sand, primitive biotic crust, and advanced biotic crust, respectively, in the south fringe of Mu Us sandy land in Northwest China from July to September of 2006. The experimental results indicate that the advanced biotic crust could increase evaporation and dew deposition compared to the primitive biotic crust and bare sand although the differences between them were not significant. The average evaporation from advanced biotic crust, primitive biotic crust and sand was 6.8, 6.6, and 6.5 mm/d, respectively, and water content is around 16.2 % in the condition of initially identical soil. The average dew amount on advanced biotic crust was 0.116 mm/d with extreme 0.05 and 0.24 mm/d. The average values on primitive biotic crust and sand were 0.105 and 0.101 mm/d, respectively, with extreme 0.04 and 0.21 mm/d for both treatments. Also, the dew deposition on advanced biotic crust seemed stable and might rest for a longer time than that on primitive biotic crust and sand. The results suggest that the advanced biotic crust possibly facilitates evaporation and dew deposition. Therefore, the development of biotic crust may potentially enhance the hydrological circulation in the upper sand layer in sandy land.     

吉林西部土地利用/覆被时空变化驱动力分析

针对吉林两部土地利用/覆被情况,基于TM影像,借助人机交互解译方法,结合1:10万地形图获得1986年、1996年、2000年和2004年的4期土地利用/覆被变化(LUCC)矢量数据.利用土地利用动态度模型、土地利用转移矩阵.全面揭示研究区15年的LUCC时空变化特征,结果表明.盐碱地扩张,湿地、水域萎缩和草地退化已经成为吉林西部生态环境恶化的突出表现.结合研究区的实际情况选取总人口数、农业人口数、粮食总产置等12个指标作为LUCC:变化的丰十会经济驱动因子,借助多元线性回归模型,建立主要土地利用类型的驱动力模型.结果表明吉林西部土地利用变化的最主要社会经济因子是农业人口数、农民人均纯收入、农业生产技术(农业机械总动力、化肥施用量)和农村用电量,同时提出相应的生态环境保护和社会经济措施.     

"珠三角"地区城市化对地下水水质影响案例研究

以珠海市东部沿海地区为例,探讨城市化地区地下水化学特征及污染状况的关系.结果表明土地利用类型与地下水水质变化密切相关.香洲区地下水化学组分差异较大,电导率范围为49.4~971 μS/cm.大部分地下水呈弱酸性,林地及果园用地地下水电导率较低,水化学类型多属于Na-HCO3型;老城区及新住宅区地下水类型多属于Ca-Mg-HCO3类型,电导率较高,受NO3-及Cl-污染较为严重.新住宅区地下水NO3-污染状况较老城区更为严重可能与旧村改造及市政排水设施不完善有关.除少数采样点外,地下水化学类型受季节变化影响不大.人为污染与自然风化过程是影响地下水化学类型的重要因素.     

纳米二氧化硅对秀丽线虫的毒性作用研究

为探讨二氧化硅纳米颗粒(SiNP)的毒性作用.以微米SiO2和空白做对照,将尺寸为20和60 nm的SiNP分别以0.2,1.0和5.0 g·L-13个浓度对模式生物秀丽隐杆线虫进行染毒.通过第一代和第二代线虫体长、身体弯曲频率、头部摆动频率以及第一代线虫后代数目、世代时间等发育、运动和生殖的相关评价指标,对SiNP毒...     

生物活性炭纤维处理微污染源水

在生物活性炭的基础上,以活性炭纤维替代颗粒活性炭,研制了生物活性炭纤维(BACF)新型吸附材料,用于处理水中有机污染物。用扫描电镜观察了微生物在ACF上的固定情况,以水处理常用指标CODMn、UV254及,GC-MS图谱分析考察BACF对于微污染源水的处理效果。研究结果显示BACF技术作为一种新颖的水的深度处理工艺,结合了吸附与生物降解的双重效能,可以有效提高对源水的净化效果,提高出水水质,同时也可以扩大水源水的取水范围,是一项先进的水处理技术。     

铁屑吸附-微波辐照-内电解协同处理结晶紫染料废水

以结晶紫为模型化合物,提出了一种新的“铁屑吸附—微波辐照—内电解”协同处理染料废水的方法。试验结果表明,吸附在铁屑表面的染料通过微波催化裂解和内电解协同作用迅速降解,染料溶液的脱色率和COD去除率分别达到99％和95％以上。废铁屑经8次使用后仍有良好的处理效果。研究了各种相关因素对染料废水脱色的影响。     

用改性赤泥吸附废水中的六价铬

用国内烧结法产生的赤泥作主要原料,以氯化铁为改性剂制得改性赤泥,用其吸附含铬废水中的重铬酸根阴离子。当废水中六价铬的质量浓度为80mg／L时,在环境温度为30℃、改性赤泥投加量为10g／L、pH为2左右的酸性环境中,2h达到吸附平衡,去除率可达96．18％。并且利用Langmuir等温式和Freundlich等温式对其吸附机理进行了探讨,结果表明,氯化铁改性赤泥对重铬酸根阴离子的吸附是通过物理吸附和化学吸附的协同作用来进行的。     

Combining passive sampling and toxicity testing for evaluation of mixtures of polar organic chemicals in sewage treatment plant effluent

Effluent from sewage treatment plants has been associated with a range of pollutant effects. Depending on the influent composition and treatment processes the effluent may contain a myriad of different chemicals which makes monitoring very complex. In this study we aimed to monitor relatively polar organic pollutant mixtures using a combination of passive sampling techniques and a set of biochemistry based assays covering acute bacterial toxicity (Microtox), phytotoxicity (Max-I-PAM assay) and genotoxicity (umuC assay). The study showed that all of the assays were able to detect effects in the samples and allowed a comparison of the two plants as well as a comparison between the two sampling periods. Distinct improvements in water quality were observed in one of the plants as result of an upgrade to a UV disinfection system, which improved from 24x sample enrichment required to induce a 50% response in the Microtox assay to 84x, from 30x sample enrichment to induce a 50% reduction in photosynthetic yield to 125x, and the genotoxicity observed in the first sampling period was eliminated. Thus we propose that biochemical assay techniques in combination with time integrated passive sampling can substantially contribute to the monitoring of polar organic toxicants in STP effluents.     

Monitoring and identification of spatiotemporal landscape changes in multiple remote sensing images by using a stratified conditional Latin hypercube sampling approach and geostatistical simulation

This study develops a stratified conditional Latin hypercube sampling (scLHS) approach for multiple, remotely sensed, normalized difference vegetation index (NDVI) images. The objective is to sample, monitor, and delineate spatiotemporal landscape changes, including spatial heterogeneity and variability, in a given area. The scLHS approach, which is based on the variance quadtree technique (VQT) and the conditional Latin hypercube sampling (cLHS) method, selects samples in order to delineate landscape changes from multiple NDVI images. The images are then mapped for calibration and validation by using sequential Gaussian simulation (SGS) with the scLHS selected samples. Spatial statistical results indicate that in terms of their statistical distribution, spatial distribution, and spatial variation, the statistics and variograms of the scLHS samples resemble those of multiple NDVI images more closely than those of cLHS and VQT samples. Moreover, the accuracy of simulated NDVI images based on SGS with scLHS samples is significantly better than that of simulated NDVI images based on SGS with cLHS samples and VQT samples, respectively. However, the proposed approach efficiently monitors the spatial characteristics of landscape changes, including the statistics, spatial variability, and heterogeneity of NDVI images. In addition, SGS with the scLHS samples effectively reproduces spatial patterns and landscape changes in multiple NDVI images.