基于粉喷桩复合地基沉降计算的探讨

在对粉喷桩复合地基现有的沉降计算理论分析的基础上,结合粉喷桩的荷载传递规律,提出符合工程实际的沉降计算方法。     

北京市有机氯农药填图与风险评价

采用1个样/km2的密度、1个分析组合样/16km2的方法,对北京市784km2范围内的土壤、大气干湿沉降物、大气颗粒物中HCH、DDT的含量和空间分布特征进行有机氯农药填图.查明2000年北京市地表土壤HCH和DDT的平均含量分别为8.80±11.83ng/g、108.99±301.90ng/g.2006年大气干湿沉降物中HCH和DDT平均含量分别为10.09±9.60ng/g、12.99±13.51ng/g,HCH和DDT的年沉降通量分别为996.57±939.96g/a·km2、1291.53±1342.28g/a·km2.2006年大气颗粒物PM10和PM2.5中的HCH含量分别为0.294±0.205ng/m3和0.217±0.137ng/m3,DDT的平均含量分别为1.037±1.301ng/m3和0.522±0.773ng/m3,显著高于2002-2003年度大气颗粒物中HCH(PM100.01786ng/m3,PM250.01731ng/m3)和DDT(PM100.01672ng/m3,PM2.50.02353ng/m3)的含量,表明北京市或周边地区仍在使用含HCH和DDT化学成分的农药.以2000年北京地表土壤和2006年大气干湿沉降物中HCH和DDT的含量为基础,对2020年土壤中HCH和DDT的时空演变的预测显示,即使干湿沉降物中HCH和DDT的沉降通量每年以5%的速率递减,到2020年土壤中HCH和DDT的环境质量仍不能显著改善,而控制和削减北京及周边地区含HCH和DDT成分农药的使用将是改善北京地表土壤环境质量的关键措施.     

太原盆地农田区大气降尘对土壤重金属元素 累积的影响及其来源探讨

通过研究太原盆地大气干湿沉降中重金属元素的含量分布特征及年输入通量,讨论其对土壤中重金属元素累积的影响。同时采用富集因子法探讨降尘物质的来源。研究结果表明,降尘中重金属元素As、Cd主要来源于人为活动,Pb的来源可能是人为源和自然源。而Hg则主要来源于自然源。     

煤矿区沉降与遥感监测方法探讨

以晋城市煤矿区沉降研究为例,介绍了应用遥感图像调查与数字高程模型相结合的方法进行煤矿区沉降研究及监测。监测结果表明,沉降区主要集中在该区域的西北部,沉降区面积较大,沉降原因是大矿开采3#煤层,导致地面沉降,只有2处沉降由小煤矿开采9#煤层引起。经验证,具体位置虽有差异,但沉降区基本与实际吻合。依据当前合成孔径雷达干涉测量技术的发展,对煤矿区遥感综合监测方法进行了讨论。     

有限元法模拟开挖引起的基坑水平位移和邻近建筑物沉降

以徐州某采用水泥土墙支护的基坑为例,采用有限元数值模拟的方法,对基坑开挖引起的水平位移量和邻近建筑物沉降量进行了计算,并与实际监测值进行了对比分析,得到了一些关于如何控制基坑水平位移和减少基坑周边建筑沉降的结论。     

胞外聚合物EPS组成及对污泥特性的影响研究

综述了进水基质、溶解氧（DO）、pH、污泥停留时间（SRT）和污泥负荷（Ns）对EPS组成的影响,分析了EPS对污泥的表面特性（污泥混合液疏水性、Zeta电位等）、生物絮凝沉降性、脱水性及吸附再生性能的影响,并通过控制适当的条件,改善EPS组成,形成良好的活性污泥,能使之更好的发挥作用。     

基于短基线集InSAR技术监测北京地区地表形变

短基线集差分干涉测量(SBAS-InSAR)技术是在传统DInSAR技术基础上发展起来的一种更高精度的长时序变形监测方法,可有效地克服传统DInSAR在微小形变监测中受时空去相干以及大气效应等因素的影响,已成为当前InSAR技术的研究热点.本文利用ENVISAT ASAR传感器获取的22幅C波段影像数据,基于短基线集差分干涉测量技术对北京地区地表沉降进行监测,获取每个观测时刻的形变累积量,得到研究区的形变序列图,进而分析了该区域地表沉降特征,结合地质环境监测成果,初步讨论了2003至2010年间北京地区区域地表沉降成因.     

德兴铜矿床（山）地质环境模型再建

文章建立了德兴铜矿床（山）包括影响环境因素在内的，开采前、开采过程及矿山部分功能区关闭之后的环境特征四方面的地质环境模型。     

Brick tea and its health impact

Tea bush is one of the plants cultivated in acidic soil, and is a typical hyper-accumulator of F and Al. Brick tea is a kind of brick-formed tea compressed using the older and coarse leaves and branches of tea trees. Brick tea mixed with milk is drunk as a daily indispensable beverage for Mongols, Ewenki, and other minority nationalities in the pastoral and semi-pastoral areas of Northwest China. It is reported that drinking brick tea can result in dental and skeletal fluorosis due to the high F content in it. Because Alzheimer＇s disease （AD） is related with Al in human brain, and Al has potential toxicities for skeletal and neural systems,     

The acid neutralizing capacity （ANC） of South Africa＇s freshwater ecosystems

Acidification is considered the most important one of the primary chemical stress factors that impact on freshwater ecosystems. In unpolluted freshwater systems, the primary controls on the degree of acidification are factors such as the geological substrate of the catchment area, the presence of organic acids secreted by vegetation in the river system, and equilibrium exchange of carbon dioxide with the atmosphere. Anthropogenic factors that can impact on the degree of acidification of freshwater systems include agricultural, mining and industrial activities, either through direct runoff into river systems or through deposition of atmospheric pollutants from these sources. The capacity factors alkalinity and acidity, which represent the acid- and base-neutralizing capacity （ANC and BCN） of an aqueous system, have been used as more reliable measures of the acidic character of freshwater systems than pH. Unlike pH, ANC and BNC are not affected by parameters such as temperature and pressure. Therefore, ANC has been employed as a predictor of biological status in critical load assessments. Freshwater systems with ANC＇s eq/L isμeq/L are considered sensitive to acidification, ANC=0 μbelow 150 commonly used as the predictor for fish species such as trout in lakes, and an eq/L as more realistic for streams. Acid-neutralizing capacity μANC value of 40 （ANC） can be determined by titration with a strong acid to a preselected equivalence point. Alternatively, it can be calculated as the difference between base cations （[BC]） and strong acid anions （[SAA]）： ANC=[BC]- [SAA]=[Ca^2＋]＋[Mg^2＋]＋[Na^＋]＋[K^＋]-[SO4^2-]-[NO3^-]-[Cl^-] To date, there has been no attempt to establish the ANC of South Africa＇s freshwater ecosystems or variability therein, despite the fact that long-term water quality monitoring data exist for all the parameters needed to calculate it according to the above equations. As a result, the relationship between the acid neutralizing capacity of freshwater ecosystems in South Africa and biodiversity factors, such as fish status, is unknown. Results of the first comprehensive （country-wide scale） evaluation of the acid neutralizing capacity of river systems in South Africa will be presented. Long-term monitoring data obtained from the Department of Water Affairs and Forestry （DWAF） from most of South Africa＇s river systems were used to establish geographic and temporal variabilities in ANC. The results show that the Berg and Breede River systems are most susceptible to acidification, and that geological substrate appears to explain most of the geographic variabilities observed.