多氯联苯Aroclor系列的弗罗里硅土小柱淋洗条件

使用商品化弗罗里硅土小柱对废水中的Aroclor进行净化。比较了不同极性洗脱溶剂和洗脱体积下弗罗里硅土小柱的净化效果。采用1 g/6 mL的弗罗里硅土小柱净化时,洗脱液体积大于8.0 mL,洗脱完全,未有目标物质被检出。淋洗溶剂的极性改变,对初始洗脱体积（0~3.0 mL）的洗脱效率会产生一定影响。随着极性的增加,目标物的回收率随之增加,但是共流出的干扰物也随之增加。     

水杨酸钠-次氯酸钠法海水氨氮快速检测方法研究

对水杨酸钠-次氯酸钠法测量海水氨氮化学分析条件进行了研究。通过正交实验对水杨酸钠-次氯酸钠法试剂配比进行优化,并确定了最佳试剂配比。同时,用水杨酸钠-次氯酸钠法和靛酚蓝法测量24个海水水样,测量结果无显著差异。在反应温度为35℃,反应时间为10 min时,用改进后的方法分别测量60、120μg/L的氨氮标准溶液,相对标准偏差分别为4.0%、2.8%,回收率分别为99.8%、100.8%。该方法试剂无毒、环保,操作简单、快速,可满足营养盐自动分析仪现场快速测量的要求,提高仪器的环境友好性。     

春季广州城区空气中VOCs来源解析

2013年4月在广州市区对大气中挥发性有机化合物(VOCs)进行了观测,对其变化特征和来源进行了分析。结果表明,观测期间测得的VOC总平均混合比为41.35×10~(-9),表现为烷烃芳香烃烯烃炔烃;利用PMF解析出观测时段内影响广州市区的9个VOCs主要来源,各源占比情况依次为:LPG排放老化VOC汽油挥发石化、未知源汽油车排放油漆溶剂柴油车排放天然源;与机动车相关和工业相关的来源分别占到了大气VOCs的46.8%和21.0%。     

基于物联网的麦积山石窟环境监测系统应用分析

简述了麦积山彩色泥塑佛像及壁画文物保护与管理监测,以及物联网技术构建文物保护微环境监测系统。针对麦积山石窟环境监测现状和存在的问题,分析了基于物联网应用的监测和传感技术在石窟实施全覆盖、实时监控的方式,以及其优势和可行性。     

核化危害源项反演技术现状及研究展望

源项反演对缓解和遏制核化危害源、精准预测核化危害时空传输和扩散情况、辅助作战行动和保障决策等具有十分重要的意义.本文从源项反演应用平台和源项反演关键算法(包括欧拉方法、拉格朗日方法、深度学习等)两个方面,对国内外核化危害源项反演技术的现状和二者间的差距进行了总结与分析.研究指出,利用深度学习提高反演精度和速率、从单污染...     

环境中总石油烃的气相色谱分析测定

将总石油烃划分为挥发性汽油类(C6～C10)、可萃取柴油和重油类(C10～C40)两部分,分别建立了通过吹扫捕集、液液萃取和超声溶剂萃取分离富集,气相色谱-火焰离子化检测器(GC-FID)测定环境水体和土壤中总石油烃的分析方法。以汽油、柴油、润滑油标准溶液进行外标校正,以色谱出峰总面积进行定量。汽油类(C6～C10)的检出限分别为0.04mg/L和0.42mg/kg,柴油和重油类(C10～C40)的检出限分别为0.06mg/L和4.9mg/kg。方法的精密度和准确度均良好。     

Understanding the Price Dynamics in the Jiangsu SO2 Emissions Trading Program in China: A Multiple Periods Analysis

Because emissions permits can be considered to be a pseudo-commodity, the permit price in the emissions trading markets has already attracted great interest from the economic literature. This research took the Jiangsu sulfur dioxide (SO₂) emissions trading program in China as a case study to examine the price dynamics over the next 10 years (2011–2020) based on Jiangsu’s new SO₂ emissions trading policy design. An adaptive agent-based simulation model was developed to estimate the price dynamics as well as the impact of energy price, policy design, and new environmental regulation on the permit price. The results showed that the equilibrium price of the Jiangsu SO₂ emissions trading market is approximately 4.20 CNY/kg, and the permit price will fluctuate around this price if the other conditions are not changed. If the coal price increases during 2011–2016, the permit price will decline to 2.79 CNY/kg by 2020 under China’s current coal–electricity price mechanism. In addition, the banking mechanism will smooth the price fluctuations and the average permit price will be generally higher when banking is not allowed. Finally, the stricter environmental regulation will reduce the market supply of permits and will raise the permit price. According to China’s potential new SO₂ discharge standard, the permit price will jump to 11 CNY/kg. The quantification of the permit price dynamics can help power plants to make decisions on emissions trading.     

工业园区环境风险源识别与分级研究

以多年来中国各行业突发环境事故统计数据为基础,选取了对于企业突发环境事件有重大影响的7个因子以及17个指标,采用指标因子分析法对其进行定量,应用层次分析法确定各因子的权重,从而确定企业环境风险水平值。基于"危险物质水平—企业环境风险水平—周边环境受体状况"体系,构建了环境风险源分级矩阵,形成了包括"环境风险源初筛","环境风险源分级"的两步工业园区环境风险源识别与分级方法。该方法提出的工业园区环境风险源识别与分级体系具有科学性和可行性,能为工业园区环境风险管理提供依据。     

Effects of fomesafen on soil enzyme activity,microbial population,and bacterial community composition

Fomesafen is a diphenyl ether herbicide that has an important role in the removal of broadleaf weeds in bean and fruit tree fields. However, very little information is known about the effects of this herbicide on soil microbial community structure and activities. In the present study, laboratory experiments were conducted to examine the effects of different concentrations of fomesafen (0, 10, 100, and 500 μg/kg) on microbial community structure and activities during an exposure period of 60 days, using soil enzyme assays, plate counting, and denaturing gradient gel electrophoresis (DGGE). The results of enzymatic activity experiments showed that fomesafen had different stimulating effects on the activities of acid phosphatase, alkaline phosphatase, and dehydrogenase, with dehydrogenase being most sensitive to fomesafen. On the tenth day, urease activity was inhibited significantly after treatment of different concentrations of fomesafen; this inhibiting effect then gradually disappeared and returned to the control level after 30 days. Plate counting experiments indicated that the number of bacteria and actinomycetes increased in fomesafen-spiked soil relative to the control after 30 days of incubation, while fungal number decreased significantly after only 10 days. The DGGE results revealed that the bacterial community varied in response to the addition of fomesafen, and the intensity of these six bands was greater on day 10. Sequencing and phylogenetic analyses indicated that the six excised DGGE bands were closely related to Emticicia, Bacillus, and uncultured bacteria. After 10 days, the bacterial community exhibited no obvious change compared with the control. Throughout the experiment, we concluded that 0–500 μg/kg of fomesafen could not produce significant toxic effects on soil microbial community structure and activities.     

Contamination assessment of arsenic and heavy metals in a typical abandoned estuary wetland—a case study of the Yellow River Delta Natural Reserve

Coastal and estuarine areas are often polluted by heavy metals that result from industrial production and agricultural activities. In this study, we investigated the concentration trait and vertical pattern of trace elements, such as As, Cd, Ni, Zn, Pb, Cu, and Cr, and the relationship between those trace elements and the soil properties in coastal wetlands using 28 profiles that were surveyed across the Diaokouhe Nature Reserve (DKHNR). The goal of this study is to investigate profile distribution characteristics of heavy metals in different wetland types and their variations with the soil depth to assess heavy metal pollution using pollution indices and to identify the pollution sources using multivariate analysis and sediment quality guidelines. Principal component analysis, cluster analysis, and pollution level indices were applied to evaluate the contamination conditions due to wetland degradation. The findings indicated that the concentration of trace elements decreased with the soil depth, while Cd increases with soil depth. The As concentrations in reed swamps and Suaeda heteroptera surface layers were slightly higher than those in other land use types. All six heavy metals, i.e., Ni, Cu, As, Zn, Cr, and Pb, were strongly associated with PC1 (positive loading) and could reflect the contribution of natural geological sources of metals into the coastal sediments. PC2 is highly associated with Cd and could represent anthropogenic sources of metal pollution. Most of the heavy metals exhibited significant positive correlations with total concentrations; however, no significant correlations were observed between them and the soil salt and soil organic carbon. Soil organic carbon exhibited a positive linear relationship with Cu, Pb, and Zn in the first soil layer (0–20 cm); As, Cr, Cu, Ni, Pb, and Zn in the second layer (20–40 cm); and As, Cr, Cu, Ni, Pb, and Zn in the third layer (40–60 cm). Soil organic carbon exhibited only a negative correlation with Cd (P?I _geo values), which averaged less than 0 in the three soil layers, this finding indicates that the soils have remained unpolluted by these heavy metals. The mean concentrations of these trace elements were lower than Class I criteria. The degradation wetland restoration suggestions have also been provided in such a way as to restore the reserved flow path of the Yellow River. The results that are associated with trace element contamination would be helpful in providing scientific directions to restore wetlands across the world.