Effect of 450 MHz Microwave Modulated with 217 Hz on Human EEG in Rest

Summary This study focuses on discrimination of changes, produced by low-level microwave exposure in intensity and time variability of the human EEG at rest. The power spectral density (PSD) method and nonlinear scaling analysis of the length distribution of low variability periods (LDLVP) were selected for analysis of the EEG signal. During the study, 19 healthy volunteers were exposed to a microwave (450 MHz) of 217 Hz frequency on-off modulation. The field power density at the scalp was 0.16 mW/cm². The experimental protocol consisted of ten cycles of repetitive microwave exposure. Signals from frontal, temporal, parietal and occipital EEG channels on EEG theta, alpha and beta rhythms were analysed. Exposure to microwave causes average increase of EEG activity. LDLVP analysis discriminated significant effect in time variability for 2 subjects (11%). PSD method detected significant changes in intensity for 4 subjects (21%). The effect of low-level microwave exposure is stronger on EEG beta rhythm in temporal and parietal regions of the human brain.     

Quantifying the rebound effects of residential solar panel adoption

Customers who adopt solar panels can reduce their energy bills and lower the effective average electricity prices they pay. When the price falls, a solar consumer might consume more electricity than before – a solar rebound effect. We provide the first empirical evidence of residential solar rebound effects in the U.S. We use household level hourly and daily electricity meter data as well as hourly solar panel electricity generation data from 277 solar homes and about 4000 non-solar homes from 2013 to 2017 in Phoenix Arizona. Using matching methods and a fixed effects panel regression approach, we find that when solar electricity generation increases by 1 kWh, solar homes increase their total electricity consumption by 0.18 kWh. This indicates that solar rebound effects are estimated at 18%. Building upon our theoretical framework, the increase in consumer surplus from solar panel adoption is estimated at $972/yr.     

Potential Negative Ecological Effects of Corridors

Despite many studies showing that landscape corridors increase dispersal and species richness for disparate taxa, concerns persist that corridors can have unintended negative effects. In particular, some of the same mechanisms that underlie positive effects of corridors on species of conservation interest may also increase the spread and impact of antagonistic species (e.g., predators and pathogens), foster negative effects of edges, increase invasion by exotic species, increase the spread of unwanted disturbances such as fire, or increase population synchrony and thus reduce persistence. We conducted a literature review and meta‐analysis to evaluate the prevalence of each of these negative effects. We found no evidence that corridors increase unwanted disturbance or non‐native species invasion; however, these have not been well‐studied concerns (1 and 6 studies, respectively). Other effects of corridors were more often studied and yielded inconsistent results; mean effect sizes were indistinguishable from zero. The effect of edges on abundances of target species was as likely to be positive as negative. Corridors were as likely to have no effect on antagonists or population synchrony as they were to increase those negative effects. We found 3 deficiencies in the literature. First, despite studies on how corridors affect predators, there are few studies of related consequences for prey population size and persistence. Second, properly designed studies of negative corridor effects are needed in natural corridors at scales larger than those achievable in experimental systems. Third, studies are needed to test more targeted hypotheses about when corridor‐mediated effects on invasive species or disturbance may be negative for species of management concern. Overall, we found no overarching support for concerns that construction and maintenance of habitat corridors may result in unintended negative consequences. Negative edge effects may be mitigated by widening corridors or softening edges between corridors and the matrix. Other negative effects are relatively small and manageable compared with the large positive effects of facilitating dispersal and increasing diversity of native species. Efectos Negativos Potenciales de los Corredores     

西安市重污染与清洁天PM2.5组分及其活性氧物质对比

针对重霾污染,在西安市冬季重污染日(2015-11-30~2015-12-09)和清洁日(2016-01-13~2016-01-22)各进行了为期10d的PM_(2.5)采集,测量其中的有机碳、元素碳,及NH_4~+、NO_3~-、SO_4~(2-)等无机水溶性离子,探讨两种污染条件下的组分特征及其成因.结果表明:观测期,重霾日和清洁日PM_(2.5)质量浓度分别为(170±47.5)μg·m~(-3)和(48.6±17.9)μg·m~(-3),且重霾日伴随低能见度、高湿静风等多种不利气象条件;重霾日二次无机离子(NH_4~+、NO_3~-、SO_4~(2-))组分占PM_(2.5)质量浓度的49.8%±13.1%,而清洁日为19.4%±5.95%,并且重霾日硫氧化速率(sulfur oxidation ratio,SOR)和氮氧化速率(nitrogen oxidation ratio,NOR)分别为0.282±0.157和0.269±0.124,远高于清洁日(SOR和NOR分别为0.189±0.057和0.077±0.046),重霾日二次有机组分浓度[(6.22±3.87)μg·m~(-3)]是清洁日[(1.44±1.63)μg·m~(-3)]的5倍,表明二次污染及不利气象条件是造成重霾期间相关组分浓度升高的重要原因.最后,通过二氯荧光黄双乙酸盐(2',7'-DCFH)化学荧光分析法测定了其中活性氧物质(reactive oxygen species,ROS)的浓度,探讨其对于二次无机组分形成的影响,结果表明观测期ROS平均浓度(以H_2O_2计)分别为(4.99±1.54)nmol·m~(-3)(重霾期),(0.492±0.356)nmol·m~(-3)(清洁期),二次反应及积累效应可能是西安重霾条件下ROS浓度升高的主要原因.NO_3~-、SO_4~(2-)与ROS均呈现正相关(P0.05),表明ROS可能通过二次氧化过程参与到二次无机组分形成过程中.     

含砷毒剂降解产物三苯胂对大豆萌发及幼苗生长的影响

采用不同浓度三苯胂(Triphenylarsine,TPA)沙质室内培养东北代表性作物大豆,研究日本遗弃在华化学武器("日遗化武")装填毒剂的主要降解产物之——TPA(C18H15As)对大豆萌发和幼苗生长的影响。结果表明:在0 mg/kg～400 mg/kg TPA浓度范围内,大豆受到的毒性效应随浓度增大而增大,直至无法生长;试验大豆的萌发率、根长、下胚轴长和株高等形态指标均随着培养介质中TPA浓度的增加而出现抑制效应明显增加的趋势;其中根系是大豆幼苗期砷累积的主要器官,也是对环境TPA毒害效应最敏感、响应最早的部位之一。日遗华武泄漏造成的土壤污染若处理不当会对埋藏地种植的大豆作物生长产生影响。     

道路生态影响评价方法研究：以兰海高速公路为例

提出了将道路生态影响问题划分为3个尺度来进行评价,并根据不同尺度的生态特征采用不同的方法和指标,从而系统、定量的评价道路建设和运行所带来的生态影响.小尺度问题采用野外调查和样方对比的方法;中尺度问题主要依靠不同分辨率的遥感监测,辅之野外调研;大尺度问题主要依靠遥感和GIS结合进行分析.以兰海高速公路为例,运用该系统进行评价,取得了良好的结果.因此,该体系方法可以作为道路生态影响评价和研究的借鉴和参考.     

Spatial and Seasonal Response of Municipal Water Use to Weather across the Contiguous U.S.

Weather variability has the potential to influence municipal water use, particularly in dry regions such as the western United States (U.S.). Outdoor water use can account for more than half of annual household water use and may be particularly responsive to weather, but little is known about how the expected magnitude of these responses varies across the U.S. This nationwide study identified the response of municipal water use to monthly weather (i.e., temperature, precipitation, evapotranspiration [ET]) using monthly water deliveries for 229 cities in the contiguous U.S. Using city‐specific multiple regression and region‐specific models with city fixed effects, we investigated what portion of the variability in municipal water use was explained by weather across cities, and also estimated responses to weather across seasons and climate regions. Our findings indicated municipal water use was generally well‐explained by weather, with median adjusted R² ranging from 63% to 95% across climate regions. Weather was more predictive of water use in dry climates compared to wet, and temperature had more explanatory power than precipitation or ET. In response to a 1°C increase in monthly maximum temperature, municipal water use was shown to increase by 3.2% and 3.9% in dry cities in winter and summer, respectively, with smaller changes in wet cities. Quantifying these responses allows urban water managers to plan for weather‐driven variability in water use.     

Thermal decomposition mechanism of 65% lysine sulfate powder and its thermal stability based on thermal analysis

Lysine is widely used in the fields of food, medicine and feed, which generally appears in the form of lysine sulfate or lysine hydrochloride dust because of the high instability of the free L-lysine. The L-lysine Sulfate is in high risk of decomposition, spontaneous ignition and even the dust explosion, because the control temperature in its production process is high up to 90 °C. Thus, the thermal behaviors and its thermal stability of 65% lysine sulfate are experimentally explored in Air and Nitrogen using the simultaneous TG-DSC measurements. Results show: (1) the decomposition of 65% lysine sulfate can be divided into three stages both in the atmospheres of air and nitrogen, and most of the weight loss occurred in the first two stages, which are related with the decarboxylation and deamination process. (2) The effects of atmosphere on the decomposition of 65% lysine sulfate mainly occur at the third stage. In this stage, the weight loss in nitrogen is only 14.2%, which is much lower than that in air (34.3%), which is related to the oxidative degradation at high temperature. Besides, the active energy is slightly increased in nitrogen compared to that in air. (3) The initial temperatures of the decomposition of the 65% lysine sulfate are 145 °C and 155 °C, for the air and nitrogen atmosphere, respectively, which are much lower than that (260 °C) of the pure lysine.     

苦味酸测定中关键问题的研究

目前测定苦味酸的国标方法为《生活饮用水标准检验方法有机物指标》(GB/T 5750.8—2006)中的衍生物-液液萃取-气相色谱法,在实际测试过程中,发现水样pH值和基质效应会影响苦味酸测定。当pH值为8~12时,生成的氯化苦响应强度变化不大;在pH约为13时,响应强度最大。水质中除腐殖酸、硝基甲烷及2,4,6-三硝基甲苯会影响苦味酸测定外,硝基酚类和甲基酚类同样起到正干扰作用,因此,国标方法不能全面和准确地测定水中的苦味酸含量。     

Assessing Spatial, Temporal, and Analytical Variation of Groundwater Chemistry in a Large Nuclear Complex, USA

Statistical analyses were applied at the Hanford Site, USA, to assess groundwater contamination problems that included (1) determining local backgrounds to ascertain whether a facility is affecting the groundwater quality and (2) determining a ‘pre-Hanford' groundwater background to allow formulation of background-based cleanup standards. The primary purpose of this paper is to extend the random effects models for (1) assessing the spatial, temporal, and analytical variability of groundwater background measurements; (2) demonstrating that the usual variance estimate s ², which ignores the variance components, is a biased estimator; (3) providing formulas for calculating the amount of bias; and (4) recommending monitoring strategies to reduce the uncertainty in estimating the average background concentrations. A case study is provided. Results indicate that (1) without considering spatial and temporal variability, there is a high probability of false positives, resulting in unnecessary remediation and/or monitoring expenses; (2) the most effective way to reduce the uncertainty in estimating the average background, and enhance the power of the statistical tests in general, is to increase the number of background wells; and (3) background for a specific constituent should be considered as a statistical distribution, not as a single value or threshold. The methods and the related analysis of variance tables discussed in this paper can be used as diagnostic tools in documenting the extent of inherent spatial and/or temporal variation and to help select an appropriate statistical method for testing purposes.