微波消解-氢化物发生原子荧光光度法 测定土壤中的砷

建立了微波消解一氢化物发生原子荧光光度法测定土壤中砷的方法。对微波消解条件进行了优化,用5mL硝酸和2mL过氧化氢的混合酸作消解溶剂,在设定的微波条件下砷提取完全。用5％的盐酸作为反应载流,12g／L硼氢化钾与0．5％氢氧化钠的混合液为还原剂,直接定容后应用HG．AFS测定,并通过测定国家标准参考物质和加标回收实验,对方法进行了验证。实际土壤加标同收率97％～103％。     

氢化物发生-原子荧光光谱法测定废水中痕量铅

运用氢化物发生-原子荧光光谱法,经过各种条件试验,建立测定地面水与废水中痕量铅的分析方法,在0.0004～0.05mg/L线性范围内,铅的最低检出限为0.4μg/L,标液变异系数＜2%,样品变异系数＜8%,样品回收率100%～105%.     

湖北臭氧分布特征及其管控措施

采用地面站点观测、卫星观测以及UWCM 0-D箱子模型模拟的方法研究湖北2013—2015年臭氧时空分布特征,并探讨其管控措施。从地面站点观测看出,时间分布上,这3年臭氧年平均浓度经历先下降后上升的过程,总体呈上升趋势,而二氧化氮年平均浓度则呈现持续下降的趋势;空间分布上,湖北各区域臭氧浓度分布不均匀,呈现东高西低的递减分布趋势。从卫星观测数据看出,2015年湖北的臭氧柱浓度高于2013、2014年同期。从空间分布来看,臭氧的柱浓度是从东北到西南、从省外到省内逐渐递减,因此推测,除了本地生成,湖北的臭氧有一部分是来源于省外传输。最大臭氧生成量法显示,烯烃(乙烯和丙烯)对湖北夏天臭氧生成量的贡献远大于其他挥发性有机化合物。箱子模型模拟的结果显示,湖北应该通过控制挥发性有机化合物的排放来降低臭氧生成速率,控制氮氧化物反而使臭氧生成速率提高。     

氢化物发生-原子荧光光谱法测定土壤中镉

采用氢化物发生-原子荧光光谱法测定土壤中的镉,优化了试验条件,讨论了共存元素的干扰及消除办法。方法在0μg/L～120μg/L范围内线性良好,检出限为0.003 mg/kg（按取样0.600 g定容至45 mL计）,土壤标准样品测定的RSD≤3.7%,加标回收率为94.8%,与石墨炉原子吸收分光光度法的测定结果相吻合。     

水稻根系对多环芳烃的吸着与吸收

采集了天津市宝坻和新立2地的水稻根系样品及同期当地的空气、灌溉水和田间土壤样品.将水稻根分为节根和侧根2部分,并采用连续提取方法将根系中的多环芳烃分为3种形态:根表弱吸着态、根表强吸着态和根内吸收态.结果表明:2样点根系中多环芳烃含量存在显著差异;节根和侧根中的多环芳烃含量存在显著差异;被根吸收的部分约占多环芳烃总量的60%左右.比表面和脂含量是影响水稻根系化合物浓度的主要参数.     

SFBR工艺顺序进行硝化和反硝化的动力学研究

采用序半连续式反应器(sequencing fed-batch reactor,简称SFBR)对人工合成废水顺序地进行硝化和反硝化动力学进行了研究.硝化和反硝化所用微生物为活性污泥.反应器在不同的操作条件进行操作,获得了用于确定动力学常数的数据;获得动力学参数um=0.05 h-1,KNO=2.0 mg/L,y=0.47 mg X/mg N,a=0.001 h-1.类似地确定了反硝化动力学参数kD=0.01 h-1和KD,NO=0.4 mg/L.在一定范围内硝化和反硝化速率随着氨浓度和硝酸盐浓度的增加而增加.实验数据表明,硝化和反硝化的动力学符合Monod动力学方程.     

工业粉体下落过程粉尘排放特性的实验研究

根据与维也纳工业大学化学工程研究所共同确定的实验方案,在实验室开发并设计了一套自由下落装置,研究粉体下落过程中粉尘的排放特性。通过实验主要测定下落高度、空气湿度和质量流量对粉尘排放的影响。实验结果表明,下落高度和空气湿度对粉尘排放均有影响,且空气湿度对粗粒子的排放影响较大,对细粒子影响较小;随着质量流量的增加,粉尘产生率逐渐减小,但质量流量的增加也会增加粉尘浓度,加重了对工人的危害。建立了影响因素与粉尘产生率之间的数学模型,经检验,二者之间存在显著相关,实测值与理论计算值基本一致,可以应用已建立的数学模型定量评价粉尘产生量。     

Depleted uranium mobility and fractionation in contaminated soil (Southern Serbia)

GOAL, SCOPE AND BACKGROUND: During the Balkan conflict in 1999, soil in contaminated areas was enriched in depleted uranium (DU) isotopic signature, relative to the in-situ natural uranium present. After the military activities, most of kinetic DU penetrators or their fragments remained buried in the ground in certain geomorphological and geochemical environments exposed to local weathering conditions. The contamination distribution, mobility and/or fixation of DU in the contaminated soil profile at one hot spot were the subject of our study. The results should disclose what happened with released DU corrosion products in three years elapsed, given the scope of their geochemical fractionation, and mark out the most probable host substrates in investigated soil type. METHODS: Gamma-spectrometric analysis of soil samples taken in the DU penetrator impact-zone was done to obtain present contamination levels. Set of samples is subjected to five-step and three-step sequential extraction procedures, specifically selective to different physical/chemical associations in soil. The stable elements are determined in extracts by the atomic absorption spectroscopy. After the ion-exchange based uranium separation procedure, alpha-spectrometric analysis of obtained fractions was done and DU distribution in five extraction phases found from 235U/238U and 234U/238U isotopic ratios. RESULTS: Depleted uranium concentration falls down to the 1% of the initial value, at approximately 150 mm distance to the source. Carbonates and iron/manganese hydrous oxides are indicated as the most probable substrates for depleted uranium in the characterized soil type. Therefore, in the highly contaminated soil samples, depleted uranium is still weakly bonded and easy exchangeable. The significant levels of organic-bonded depleted uranium are found in surface soil only. DISCUSSION: Dependence of the fractionation on the contamination levels is evident. Samples with higher DU contents have shown a longer maintenance in the exchangeable phases, probably because adsorption/desorption mass transfer through the medium was not very fast. Organic-bonded, depleted uranium is present in surface soil samples due to its higher humus content. Considering geochemical composition of investigated soil, the indicating chemical associations as substrates are in agreement with some considerations based on the results for low-level waste unsaturated zones. CONCLUSIONS: The soil contamination with depleted uranium in investigated area is still 'spot' type and not widespread. Dependence of the fractionation on the contamination levels and presence of weakly bonded, depleted uranium in the hot spots areas is evident. RECOMMENDATIONS AND PERSPECTIVES: A detailed study may be undertaken with suitable extractive reagents to define a bio-available fraction of depleted uranium in soil. The comparison of results for different soil types investigated by the same methodology may be useful. An applied combination of physical/chemical procedures and analysis may help in the decision making on the remediation strategy for sites contaminated with depleted uranium used in military operations.     

Evaluating and Extending CLIGEN Precipitation Generation for the Loess Plateau of China1

Abstract: Climate generator (CLIGEN) is widely used in the United States to generate long‐term climate scenarios for use with agricultural systems models. Its applicability needs to be evaluated for use in a new region or climate. The objectives were to: (1) evaluate the reproducibility of the latest version of CLIGEN v5.22564 in generating daily, monthly, and yearly precipitation depths at 12 stations, as well as storm patterns including storm duration (D), relative peak intensity (ip), and peak intensity (rp) at 10 stations dispersed across the Loess Plateau and (2) test whether an exponential distribution for generating D and a distribution‐free approach for inducing desired rank correlation between precipitation depth and D can improve storm pattern generations. Mean absolute relative errors (MAREs) for simulating daily, monthly, annual, and annual maximum daily precipitation depth across all 12 stations were 3.5, 1.7, 1.7, and 5.0% for the mean and 5.0, 4.5, 13.0, and 13.6% for the standard deviations (SD), respectively. The model reproduced the distributions of monthly and annual precipitation depths well (p > 0.3), but the distribution of daily precipitation depth was less well produced. The first‐order, two‐state Markov chain algorithm was adequate for generating precipitation occurrence for the Loess Plateau of China; however, it underpredicted the longest dry periods. The CLIGEN‐generated storm patterns poorly. It underpredicted mean and SD of D for storms ≥10 mm by ?60.4 and ?72.6%, respectively. Compared with D, ip, and rp were slightly better reproduced. The MAREs of mean and SD were 21.0 and 52.1% for ip, and 31.2 and 55.2% for rp, respectively. When an exponential distribution was used to generate D, MAREs were reduced to 2.6% for the mean and 7.8% for the SD. However, ip estimation became much worse with MAREs being 128.9% for the mean and 241.1% for the SD. Overall, storm pattern generation needs improvement. For better storm pattern generation for the region, precipitation depth, D, and rp may be generated correlatively using Copula methods.     

SFBR工艺顺序进行硝化和反硝化的动力学研究

采用序半连续式反应器（sequencing fed-batch reactor,简称SFBR）对人工合成废水顺序地进行硝化和反硝化动力学进行了研究.硝化和反硝化所用微生物为活性污泥.反应器在不同的操作条件进行操作,获得了用于确定动力学常数的数据;获得动力学参数um=0.05 h-1,KNO=2.0 mg/L,y=0.47 mg X/mg N,a=0.001 h^-1.类似地确定了反硝化动力学参数kD=0.01 h^-1和KD,NO=0.4 mg/L.在一定范围内硝化和反硝化速率随着氨浓度和硝酸盐浓度的增加而增加.实验数据表明,硝化和反硝化的动力学符合Monod动力学方程.