Leaching behavior of heavy metals from municipal solid waste incineration bottom ash and its geochemical modeling

With the increase in the number of municipal solid waste incineration (MSWI) plants constructed in China recently, great attention has been paid to the heavy metal leaching toxicity of MSWI residues. In this study, the effects of various parameters, including extractant, leaching time, liquid-to-solid ratio, leachate pH, and heavy metal content, on the release properties of Cd, Cr, Cu, Ni, Pb, and Zn from MSWI bottom ash were investigated. Partial least-squares analysis was employed to highlight the interrelationships between the factors and response variables. Both experimental research and geochemical modeling using Visual MINTEQ software were conducted to study the pH-dependent leaching behavior of these metals in fresh and weathered bottom ash, considering precipitation/dissolution and surface complexation reactions (adsorption by hydrous ferric oxide and amorphous aluminum oxide/hydroxide). The results showed that leachate pH was the predominant factor influencing heavy metal leachability. The leaching of Cu, Pb, and Zn was mainly controlled by precipitation/dissolution reactions, whereas surface complexation had some effect on the leaching of Cr, Cd, and Ni for certain pH ranges. The modeling results aggreed well with the experimental results. Part of this work was presented at the Fourth International Conference on Combustion, Incineration/Pyrolysis and Emission Control (i-CIPEC)     

Risk factors associated with truck-involved fatal crash severity: Analyzing their impact for different groups of truck drivers

Introduction: Fatal crashes that include at least one fatality of an occupant within 30 days of the crash cause large numbers of injured persons and property losses, especially when a truck is involved. Method: To better understand the underlying effects of truck-driver-related characteristics in fatal crashes, a five-year (from 2012 to 2016) dataset from the Fatality Analysis Reporting System (FARS) was used for analysis. Based on demographic attributes, driving violation behavior, crash histories, and conviction records of truck drivers, a latent class clustering analysis was applied to classify truck drivers into three groups, namely, ‘‘middle-aged and elderly drivers with low risk of driving violations and high historical crash records,” ‘‘drivers with high risk of driving violations and high historical crash records,” and ‘‘middle-aged drivers with no driving violations and conviction records.” Next, equivalent fatalities were used to scale fatal crash severities into three levels. Subsequently, a partial proportional odds (PPO) model for each driver group was developed to identify the risk factors associated with the crash severity. Results' Conclusions: The model estimation results showed that the risk factors, as well as their impacts on different driver groups, were different. Adverse weather conditions, rural areas, curved alignments, tractor-trailer units, heavier weights and various collision manners were significantly associated with the crash severities in all driver groups, whereas driving violation behaviors such as driving under the influence of alcohol or drugs, fatigue, or carelessness were significantly associated with the high-risk group only, and fewer risk factors and minor marginal effects were identified for the low-risk groups. Practical Applications: Corresponding countermeasures for specific truck driver groups are proposed. And drivers with high risk of driving violations and high historical crash records should be more concerned.     

高浓度氨氮废水的短程硝化研究

采用普通好氧活性污泥驯化培养启动亚硝化反应器，探索了在实验室条件下，亚硝化反应的最适宜条件。结果表明．在温度（T）为35℃，pH值为7．5左右，初始污泥浓度0．7g／L时，控制较高的初始进水氨氨浓度和较低的DO浓度，有利于亚硝化反应的启动：驯化后，反应器内氨氮处理效果良好，即使进水氨氮浓度高达2400mg／L时，氨氮去除率也能达到95％以上;在实验中，亚硝化的最适宜条件为，温度：29～35℃．pH值：7．0～8．0。同时．实验结果表明，在一定范围内，溶解氧浓度越高，亚硝化反应速率越快：C／N比过高会严重抑制亚硝化反应。     

芳香酯类富勒烯衍生物的制备及光电性能研究

以PCBM为初始原料,经过水解、酯化反应,生成3类富勒烯衍生物,采用红外光谱(FT-IR)、核磁共振(1H NMR和13C NMR)、元素分析仪、质谱(MS)对产物结构进行了表征;并通过紫外可见光谱、循环伏安法等手段研究了目标物的光学与电化学性能,结果表明,目标物PCBTE、PCBBE、PCB(4-MOB)M的LUMO能级分别为-3.91 V、-3.88 V、-3.94 V。     

壳寡／聚糖系列衍生物对铅离子的吸附研究

比较了9种壳寡/聚糖系列衍生物作为吸附剂对同一浓度铅离子的吸附,结果为交联香草醛壳聚糖（CTSV-G）〉香草醛壳聚糖（CTSV）〉羧甲基壳聚糖（CM-CTS）〉巯基化壳寡糖（O-CTS-SH）〉壳寡糖（O-CTS）〉香草醛壳寡糖（O-CTSV）〉壳聚糖（CTS）〉壳寡糖硫酸酯（O-CTSS）〉羧甲基壳寡糖（CM-O-CTS）;比较了同一吸附剂对不同浓度的铅离子的吸附率,其吸附率随着溶液浓度的升高而降低。研究了各吸附剂在铅、镉、铬金属离子竞争中对铅吸附的影响,结果表明各吸附剂对镉和铅离子的吸附效果最好,可达80%,对铬离子吸附较少,在40%左右。     

钢铁企业循环经济影响因素及作用路径研究

基于企业实力、环境管制、公众参与及绿色竞争等理论,提出了钢铁企业循环经济影响因素及作用路径研究模型,并采用偏最小二乘路径分析法,以我国54家钢铁企业2013年数据为例展开实证研究。结果表明:企业特征因素、市场竞争因素、政府因素对钢铁企业循环经济发展水平有直接影响,且影响效应依次递减;公众因素对循环经济发展水平有间接影响,且影响效应较低。同时,验证了此方法的科学性与适用性。     

偏最小二乘(PLS)回归方法在中国东部植被变化归因研究中的应用

植被变化往往受到不同气候变量的综合作用,人类活动影响又使得植被对气候响应变得更为复杂,如何准确判别各种影响因素的相对重要性是植被变化归因研究中的一个关键点.研究基于偏最小二乘(PLS)回归方法,使用1982-2006 年的归一化植被指数(NDVI)数据,分析了降水、气温、日照、相对湿度和风等气候变量对中国东部植被变化的相对影响,并选取了NDVI变化较为典型的区域,量化了农业活动对该地区植被变化的相对贡献.PLS回归方法兼具了主成分分析和多元回归的优点,克服了众多自变量之间存在强烈交互相关导致的多元共线性问题.研究结果表明:① 1982-2006 年间,中国东部逐月NDVI的年际变化呈现出明显的南北差异.在12、1-5 月,NDVI以显著上升为主,上升区域主要位于淮河以北.在6-10月,NDVI以显著下降为主,下降区域主要为淮河以南的部分区域,特别是6 月江苏一带NDVI的大范围下降尤为明显.不过与NDVI发生显著变化的区域相比,更多区域的NDVI在各月并没有出现显著变化.② 在NDVI显著上升的站点,对NDVI变化最具解释意义的气候变量为气温,特别是冬末春初(2-3 月)的升温对黄淮海区域NDVI的显著上升具有主导控制作用.而对于NDVI 显著下降的站点,多数都不能从气候角度解释这些区域的NDVI 变化.③ 江苏省NDVI在6 月出现的大范围显著下降,与农业种植结构的调整,主要是棉花种植面积的减少以及油菜面积的增加具有显著关系.     

Determination and QSPR analysis of log Kow and log Koc for fluorine containing benzene derivatives

Octanol‐water partition coefficients (Kow) and soil organic carbon sorption coefficients (Koc) were determined for 14 fluorinated benzene derivatives. Quantitative structure‐property relationships were developed using molecular connectivity indices and quantum chemical parameters to analyze the most significant factors influencing these physico‐chemical properties of the compounds. The substitution by F in benzene derivatives has greater influence on Koc than on Kow.