土壤中钒的化学结合形态与转化条件的研究

为了利用和控制土壤条件,改善土壤供钒特征,为农业生产和环境保护服务,综合参考国内外对土壤中其他微量元素形态划分的方法,初步区分出土壤中的钒以５种主要的化学结合形态存在。其含量多少依次为残留态＞无定形氧化铁结合态＞有机质结合态＞易还原锰结合态＞可溶态。通常,残留态钒占土壤全钒含量的90％以上,而可溶态钒的含量常低于1μg/g。一般而言,在较高的温度,较强的还原条件以及酸性土壤条件下,土壤中其它化学结合态钒更多地向可溶态钒转化;除有机质结合态钒外,其它形态钒的含量都与土壤全铁含量间有着显著或极显著的正相关。外源钒在酸性红壤中的形态转化速率较慢,在石灰性的栗钙土中的形态转化速率较快。酸性土壤对钒的缓冲能力强,缓冲容量大,不容易产生钒污染。     

管式膜分离器净化含苯废气的研究

试验以管式硅橡胶膜分离器处理含苯废气,测定了在此种膜分离器中含有苯、二甲苯的废气对空气的分离因子,并推导出分离因子与流过管式膜分离器的气体雷诺数关系.低浓度含苯废气经膜分离使苯蒸气富集,然后加以回收或以催化燃烧方法处理。     

厌氧附着膜膨胀床(AAFEB)反应器处理啤酒糖化废水的研究

从模拟废水研究证明,厌氧附着膜膨胀床(AAFEB)工艺是一种效率高、适用性广的新型有机废水处理工艺,但要付诸应用,还需试验其处理实际有机废水的效能。 近年来,我国的啤酒生产有了很大的发展,啤酒厂几乎遍及全国各地,其废水污染     

玉米淀粉接枝磺甲基化聚丙烯酰胺共聚物对含汞废水絮凝沉降处理效果的研究

本文介绍应用吉林大学新近研制的玉米淀粉接枝磺甲基化聚丙烯酰胺共聚物,(以下简称为接枝物)作为絮凝剂,对工业企业排放的含汞污水絮凝沉降的处理效果。实验数据表明,采用该接枝共聚物作为混凝剂,处理含汞污水,其处理效率可达到99％以上,处理后的水基本上达到了国家规定的排放标准。同时,对最佳投药量,量佳沉淀时间及最佳pH值等进行了研究。      

长波紫外线对M13mp2噬菌体的致突变作用

以野生型大肠菌CSH50及mutM缺陷的大肠菌MF67为宿主,检测了长波紫外线（UVA）对M13mp2噬菌体单链DNAlacZα基因区域的致突变能力。结果显示,UVA照射可引起噬菌体lacZα基因区域的突变,在mutM缺陷的宿主中,UVA照射的致突变作用更明显。进一步研究了抗氧化剂甘露醇对UVA照射致突变作用的影响,结果显示,0.1mol/L的甘露醇可以部分拮抗UVA的致突变作用。说明UVA照射具有致突变作用,这种作用可能与DNA的氧化损伤有关     

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...     

用活化沸石处理含铅废水的试验研究

对用活化沸石处理含铅废水进行了试验研究。探讨了活化沸石用量、废水酸度、接触时间等因素对除铅效果的影响。结果表明,在废水ｐＨ４～１２、Ｐｂ２＋０～１００ｍｇ／Ｌ范围内,按铅／活化沸石重量比为１／２００投加活化沸石进行处理,铅去除率大于９８％。     

地面水中氨,硝酸盐,亚硝酸盐,氯化物,正磷酸盐,总硬度和硅酸盐的同时测定

用AQUA800辨别分析仪同时测定地面水中的氨、硝酸盐、亚硝酸盐、氯化物、正磷酸盐、总硬度和硅酸盐,是一种简便、迅速、准确、可靠的测定方法,样品无需预处理,精密度试验其变异系数分别为1．24％、2．18％、2．02％、2．67％、2．35％、3．57％、4．78％,加标回收率分别为103．5％、101．0％、95．0％、99．2％、97．6％、101．5％、98．0％,方法检测限分别为氨0．022mg／L,硝酸盐0．015mp／L,亚硝酸盐0．002tug／L,氯化物0．47mg／L,正磷酸盐0．015mg／L,总硬度17．6mg／L,硅酸盐0．55mg/L,能满足地面水中辨别分析仪同时测定氨、硝酸盐、亚硝酸盐点化物、正磷酸盐、总硬度和硅酸盐分析测定的要求。     

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.

     

Enhanced nitrogen removal of coal pyrolysis wastewater with low COD to nitrogen ratio by partial nitrification-denitrification bioprocess assisted with polycaprolactone

The purpose of this study is to investigate the enhancement of polycaprolactone (PCL) on total nitrogen (TN) removal of coal pyrolysis wastewater (CPW) with low COD to nitrogen ratio by partial nitrification-denitrification bioprocess (PNDB) in one single reactor. With the innovative combination of PCL and PNDB, the TN removal efficiency in the experimental reactor (signed as R1) was 10.21% higher than control reactor (R2). Nitrite accumulation percentage (NAP) in R1 was 82.02%, which was 17.49% higher than R2 at the dissolved oxygen (DO) concentration of 0.9–1.5 mg/L, for the reason that the extra DO was consumed by PCL biodegradation at the aerobic period. Gel permeation chromatography (GPC) results demonstrated that organics with the molecular weight of 185 Da, which could serve as additional carbon sources for denitrifiers, were generated during the PCL hydrolysis process at the anoxic period. PCL was hydrolyzed by extracellular enzymes with the break of the ester bond which was confirmed by FT-IR spectrometer. Microbial community analysis revealed that Ferruginibacter was the dominant hydrolysis bacteria in R1. Nitrosomonas were the main ammonium-oxidizing bacteria (AOB) and Hyphomicrobium were the denitrifiers in this study.