硝基芳族化合物对江水细菌的毒性及QSAR研究

采用细菌生长抑制实验,测定了２４种硝莽主族化合物对松花江水中细菌的毒性,得到２４ｈ－ＩＣ５０值,并选用５种物理化学参数ｌｇＰ、＾１Ｘ＾ｖ、Ｉ、∑σ＾－、ＥＬＵＭＯ对毒性数据进行量结构活性关系研究。     

化学发光法测定废水中痕量苯酚

本文研究了鲁米诺-H_2O_2(KOH,H_3BO_3)发光体系和苯酚对该体系发光的淬灭作用。发现苯酚浓度处于2.0×10~(-6)—2.0×10~(-4)mol·L~(-1)时,与淬灭后的相对发光强度有线性关系,本法最低检出限为0.2mg·L~(-1)。用于工业废水中苯酚的测定,测定结果满意。     

南极麦克斯韦尔海湾阴离子洗涤剂污染研究

首次报道了南极麦克斯韦尔海湾海域阴离子洗涤剂污染的变化和分布状况。研究海域水体阴离子洗涤剂含量在0.148～0.997mg/L之间,若按中国国内地表水水质标准0.3mg/L评价,全部20个站次中有6站次超过标准,超标率达30％,表明该地区已有一定程度的阴离子洗涤剂污染。主要污染源是各考察站的生活污水。     

萃取—反萃取导数光谱法测定污水中微量酚和苯胺类

对油矿区污水中酚类和苯胺类同时测定方法和实验条件进行了研究。采用1∶1氯仿 乙醚混合溶剂萃取,再分别用0.1mol/LNaOH和0.1mol/LHCL反萃取污水中微量的酚类和苯胺类。实验结果表明,在pH值为6时萃取水样,氯仿-乙醚对苯酚、苯胺的萃取回收率分别为76.6％及64.7％。测定的线性范围：酚类为0～2.0mg/L,苯胺类为0～3.3mg/L;检出极限：酚类为0.04mg/L,苯胺类为0.02mg/L。本法与国家环保总局推荐方法对照,实验结果无显著性差异。通过萃取—反萃取,不仅浓缩了样品,而且有效地消除了石油类及金属离子的干扰,适用于油矿区污水的测定。     

Artificial aging induced changes in biochar,s properties and Cd2+ adsorption behaviors

Environmental Science and Pollution Research - Fresh biochar has been widely applied to the remediation of heavy metals in soil by its property of adsorption, but the changes in its physicochemical...     

连续年龄序列桉树人工林土壤微量元素含量及其影响因素

对连续年龄序列(2 a、3 a、4 a、5 a、6 a)桉树人工林土壤三种微量元素(Fe、Mn、Zn)的含量及其影响因素进行了分析,探讨了土壤微量元素含量随林分年龄的变化规律.土壤养分之间的相关性分析表明,所有年龄阶段的桉树人工林中土壤Fe、Mn、Zn含量与土壤pH值之间呈极显著的正相关,说明土壤微量元素含量强烈受土壤酸度的影响.土壤三种微量元素含量与土壤全K、全ca、全Mg等大量养分元素含量之间均存在显著或极显著的正相关,而与土壤有机C、全N、全P的相关性不明显(0～20 cm表层土壤的Zn除外).总的来说,土壤微量元素含量随桉树人工林年龄的增加呈下降趋势,其中6 a生桉树人工林各土壤层(0～20 cm、20～40 cm、40～60 cm)的Fe、Mn、Zn含量分别比2a生林分下降13.7%～21.8%、55.6%～57.2%和71.0%～73.2%.在当前桉树人工林种植方式下,随着林分年龄的增加,应增施有机、无机肥和Fe、Mn、Zn等微量元素肥料,以有效控制土壤地力衰退和实现桉树人工林可持续经营.     

三维地质建模及其在地下空间开发的应用研究∗

为了建立精确三维地质模型,了解地下空间情况,提出一种优化的建模方法,以钻孔数据为基础,利用surfer软件对数据进行插值拟合,运用Civil 3D 的曲面功能创建三维地质模型,并引入地质剖面图进行模型修正。以苏州观前街区为例建立三维地质模型,较为真实地反映了该区地质情况;通过剖切模型生成的三维地质模型栅格图、平切图对三维地质模型进行可视化分析,从而了解研究区域地质构造、地层起伏和变化规律;通过Civil 3D 软件的二次开发建立剪切地下构筑物的插件,实现地下空间开挖的功能,直观清晰地获取研究区地下空间的地质情况。工程应用结果表明,该建模方法较为精确,生成的三维地质模型有助于指导地下工程建设,对未来地下空间开发具有实际指导作用。     

Association between particulate matter air pollution and cardiovascular disease mortality in Lanzhou,China

Ambient particulate matter (PM) pollution has been linked to elevated mortality, especially from cardiovascular diseases. However, evidence on the effects of particulate matter pollution on cardiovascular mortality is still limited in Lanzhou, China. This research aimed to examine the associations of daily mean concentrations of ambient air pollutants (PM_2.5, PM_C, and PM₁₀) and cardiovascular mortality due to overall and cause-specific diseases in Lanzhou. Data representing daily cardiovascular mortality rates, meteorological factors (daily average temperature, daily average humidity, and atmospheric pressure), and air pollutants (PM_2.5, PM₁₀, SO₂, NO₂) were collected from January 1, 2014, to December 31, 2017, in Lanzhou. A quasi-Poisson regression model combined with a distributed lag non-linear model (DLNM) was used to estimate the associations. Stratified analyses were also performed by different cause-specific diseases, including cerebrovascular disease (CD), ischemic heart disease (IHD), heart rhythm disturbances (HRD), and heart failure (HF). The results showed that elevated concentration of PM_2.5, PM_C, and PM₁₀ had different effects on mortality of different cardiovascular diseases. Only cerebrovascular disease showed a significant positive association with elevated PM_2.5. Positive associations were identified between PM_C and daily mortality rates from total cardiovascular diseases, cerebrovascular diseases, and ischemic heart diseases. Besides, increased concentration of PM₁₀ was correlated with increased death of cerebrovascular diseases and ischemic heart diseases. For cerebrovascular disease, each 10 μg/m³ increase in PM_2.5 at lag4 was associated with increments of 1.22% (95% CI 0.11–2.35%). The largest significant effects for PM_C on cardiovascular diseases and ischemic heart diseases were both observed at lag0, and a 10 μg/m³ increment in concentration of PM_C was associated with 0.47% (95% CI 0.06–0.88%) and 0.85% (95% CI 0.18–1.52%) increases in cardiovascular mortality and ischemic heart diseases. In addition, it exhibited a lag effect on cerebrovascular mortality as well, which was most significant at lag6d, and an increase of 10 μg/m³ in PM_C was associated with a 0.76% (95% CI 0.16–1.37%) increase in cerebrovascular mortality. The estimates of percentage change in daily mortality rates per 10 μg/m³ increase in PM₁₀ were 0.52% (95% CI 0.05–1.02%) for cerebrovascular disease at lag6 and 0.53% (95% CI 0.01–1.05%) for ischemic heart disease at lag0, respectively. Our study suggests that elevated concentration of atmospheric PM (PM_2.5, PM_C, and PM₁₀) in Lanzhou is associated with increased mortality of cardiovascular diseases and that the health effect of elevated concentration of PM_2.5 is more significant than that of PM_C and PM₁₀.

     

含铁矿物与UV联合催化H2O2深度处理印染废水

分别以天然含铁矿物黄铜矿、磁铁矿、磁黄铁矿为催化剂,构建了UV-异相类Fenton体系处理实际印染废水生化出水,确定了最优反应条件,并对反应机理进行了初步探讨。实验结果表明:最佳条件下,以黄铜矿、磁铁矿、磁黄铁矿为催化剂的3种异相UV-类Fenton体系对废水的COD去除率分别可达58.83%、57.41%和60.57%,UV254去除率均大于94%;3种天然矿物在重复使用5次后对废水COD的去除率仍保持在50%以上,光催化活性稳定;该体系产生·OH的途径主要有催化剂表面的Fe(Ⅱ)催化H_2O_2分解、H_2O_2光解、溶出的Fe~(2+)催化H_2O_2分解3种,以前两种方式为主。     

橡胶粉尘的爆炸特性及抑爆的试验研究

为了研究橡胶粉尘的爆炸特性以及惰性粉体对橡胶粉尘的抑爆,用20 L球形爆炸装置测试橡胶粉尘的爆炸特性,分析粉尘浓度和粒径对橡胶粉尘爆炸压力(pmax)和爆炸指数(Kst)的影响,并且探究聚磷酸铵、磷酸二氢铵、碳酸钙和碳酸氢钠4种不同惰性粉体对橡胶粉尘的抑爆效果及不同粒径的聚磷酸铵对橡胶粉尘爆炸压力的影响。结果表明:在爆炸极限范围内,橡胶粉尘的爆炸压力随粉尘质量浓度增加先增大后减小;橡胶粉尘粒径越小,其爆炸后果越严重;聚磷酸铵对橡胶粉尘的抑爆效果相对较好;且在一定质量浓度范围内粒径越小,抑爆效果越好。