Effect of fipronil on biogas production performance during anaerobic digestion of chicken manure and corn straw

Fipronil is a broad-spectrum insecticide that has a good control effect on pests of commercial poultry. Although many studies have reported the environmental fate of fipronil, the influence of residual fipronil in poultry waste on biogas production has not been further explored yet. In this article, an experimental comparative study on anaerobic digestion (AD) of chicken manure (CM) and corn straw (CS) with different fipronil concentrations (FCs) was carried at 8% of total solid (TS) and mid-temperature (35?±?1)°C. The results showed that fipronil had a significant effect on biogas production during AD of CM and CS. When the FC is at a low level (≤10?mg·kg^?1), the biogas production rate is increased and the digestion period was shortened, while higher FC (≥ 20?mg·kg^?1) showed an inhibitory effect. During the monitoring of enzyme activity, low FC showed no significant effect on cellulase and saccharase, but the urease activity increased in the early stage. High FC showed inhibition of activity of cellulase and urease, but the saccharase activity was significantly inhibited until FC reached 40?mg·kg^?1. This study also confirms that the environment in anaerobic digester is favorable for the degradation of fipronil, and its half-life is about 15.83?days.     

经济型阳离子淀粉絮凝剂的制备及其对印染废水的处理效果

采用玉米淀粉为原料、氯化缩水甘油三甲基铵（GTA）作阳离子化试剂、水-乙醇混合液作分散剂、NaOH作碱催化剂,制备了经济型阳离子淀粉絮凝剂（简称经济型阳离子淀粉）。实验结果表明：在淀粉加入量110g、GTA加入量30g、NaOH加入量1．6g、分散剂中m（水）：m（乙醇）=1：1、m（分散剂）：m（淀粉）=0．50：1、反应温度80℃、反应时间2．5h的条件下,可制得取代度（DS）为0．31的经济型阳离子淀粉;用该经济型阳离子淀粉与聚丙烯酰胺（PAM）联用处理印染废水,当经济型阳离子淀粉加入量为140mg／L、PAM加入量为4mg/L、废水pH为8时,印染废水的色度去除率和COD去除率分别达92％和82％。该方法絮凝效果好,药剂费用低,产生的污泥少。     

连云港公众对核电和火电风险感知的比较分析

研究造成不同人群对核电和火电风险感知差异的关键因素,并分析不同人群对这2种风险支付意愿(WTP)的差别.采用公众问卷调研法及多元统计法分析公众对核电和火电的风险感知.结果表明,年龄为30～39岁的人群以及教育程度为大专和研究生学历的人群对核电和火电的风险感知差别度具有显著差异性,同时也发现政府在人们对比核电和火电风险感知程度时扮演重要角色,即对政府信任度高的人对核电的风险感知度相对较低.风险支付意愿分析表明,不同分类人群对核电和火电风险的WTP值总体趋势一致,即女性高于男性,低龄组和高龄组高于中龄组,无业者和家庭主妇高于有固定职业者,受中等教育者高于受低等和高等教育者,30 000～50 000元年薪者高于其他年薪段人,外地游客高于移居者和本土居民.本研究为政府等决策机构选择有效目标人群提供了参考依据.     

Comparative study on performances of a heat-pipe PV/T system and a heat-pipe solar water heating system

The heat-pipe solar water heating (HP-SWH) system and the heat-pipe photovoltaic/thermal (HP-PV/T) system are two practical solar systems, both of which use heat pipes to transfer heat. By selecting appropriate working fluid of the heat-pipes, these systems can be used in the cold region without being frozen. However, performances of these two solar systems are different because the HP-PV/T system can simultaneously provide electricity and heat, whereas the HP-SWH system provides heat only. In order to understand these two systems, this work presents a mathematical model for each system to study their one-day and annual performances. One-day simulation results showed that the HP-SWH system obtained more thermal energy and total energy than the HP-PV/T system while the HP-PV/T system achieved higher exergy efficiency than the HP-SWH system. Annual simulation results indicated that the HP-SWH system can heat the water to the available temperature (45°C) solely by solar energy for more than 121 days per year in typical climate regions of China, Hong Kong, Lhasa, and Beijing, while the HP-PV/T system can only work for not more than 102 days. The HP-PV/T system, however, can provide an additional electricity output of 73.019 kWh/m², 129.472 kWh/m², and 90.309 kWh/m² per unit collector area in the three regions, respectively.     

Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.     

Carbon isotope analysis for source identification of atmospheric formaldehyde and acetaldehyde in Dinghushan Biosphere Reserve in South China

Formaldehyde and acetaldehyde are two most abundant carbonyls in ambient air. Biogenic emission has been proposed as a significant source other than anthropogenic emissions and atmospheric secondary formation. Here at a forest site in South China, the carbon isotopic compositions of formaldehyde and acetaldehyde emitted from leaves of three tree species (Litsea rotundifolia, Canarium album and Castanea henryi) were measured in comparison with the bulk carbon isotopic compositions of tree leaves. δ¹³C data of the emitted aldehydes (from ?31‰ to ?46‰) were quite different for tree species, which were all more depleted in ¹³C than the tree-leaf bulk δ¹³C values (from ?27‰ to ?32‰). Formaldehyde in ambient air at the forest site had δ¹³C values different from those of leaf-emitted formaldehyde, indicating other sources for ambient formaldehyde apart from direct emission from leaves, most probably the photooxidation of biogenic hydrocarbon like isoprene and monoterpene. The δ¹³C differences of acetaldehyde between ambient data and those of tree leaves emission were less than 1‰, implying direct biogenic emission as the dominant source.     

Incorporating layer- and local-scale heterogeneities in numerical simulation of unsaturated flow and tracer transport

This study characterizes layer- and local-scale heterogeneities in hydraulic parameters (i.e., matrix permeability and porosity) and investigates the relative effect of layer- and local-scale heterogeneities on the uncertainty assessment of unsaturated flow and tracer transport in the unsaturated zone of Yucca Mountain, USA. The layer-scale heterogeneity is specific to hydrogeologic layers with layerwise properties, while the local-scale heterogeneity refers to the spatial variation of hydraulic properties within a layer. A Monte Carlo method is used to estimate mean, variance, and 5th, and 95th percentiles for the quantities of interest (e.g., matrix saturation and normalized cumulative mass arrival). Model simulations of unsaturated flow are evaluated by comparing the simulated and observed matrix saturations. Local-scale heterogeneity is examined by comparing the results of this study with those of the previous study that only considers layer-scale heterogeneity. We find that local-scale heterogeneity significantly increases predictive uncertainty in the percolation fluxes and tracer plumes, whereas the mean predictions are only slightly affected by the local-scale heterogeneity. The mean travel time of the conservative and reactive tracers to the water table in the early stage increases significantly due to the local-scale heterogeneity, while the influence of local-scale heterogeneity on travel time gradually decreases over time. Layer-scale heterogeneity is more important than local-scale heterogeneity for simulating overall tracer travel time, suggesting that it would be more cost-effective to reduce the layer-scale parameter uncertainty in order to reduce predictive uncertainty in tracer transport.     

铁改性海泡石除锑的影响因素研究

选择廉价海泡石, 用氯化铁对其改性。研究铁改性海泡石对锑的吸附特性。结果表明,氯化铁浓度、吸附时间、初始锑浓度以及温度等因素对锑的吸附影响较大,溶液初始pH影响不明显。在初始锑浓度50 mg/L,pH 6.8,5%氯化铁改性海泡石投加量为2 g/L,吸附90 min, 温度35℃下,吸附量可达21.6 mg/g。海泡石对吸附锑具有缓冲特性,溶液的初始pH值在3.1～10.1范围时,吸附后溶液的最终pH值为8～8.5。IMS吸附锑是放热过程。改性后海泡石比表面积增大,表面羟基数量增加,导致其吸附能力增强。通过XRD谱图并未发现铁晶体的存在。