微波消解-原子吸收光度法测定堆肥中微量镉、锌和铜

研究并确定了微波消解堆肥的最佳条件,应用原子吸收与数据导数处理系统相结合方法解决了堆肥体系中微量金属Cd.Zn和Cu的测定问题,对应元素的灵敏度可提高一个数量级.检出限均有不同程度的降低,从而极大提高分析的准确度.同时对堆肥实际样品进行加标回收实验,测定了堆肥样品中金属的回收率,其回收率分别在99.5%-102.0%、98.7%-99.1%和98.8%-104.0%之间.实验结果显示,该方法快速、准确、可信.     

Investigation of the effects of battery types and power management algorithms on drive cycle simulation for a range-extended electric vehicle powertrain

Fuel cell (FC) hybrid vehicle power trains are an attractive technology especially for automotive applications because of their higher efficiency and lower emissions compared to conventional vehicles. This study focuses on the design of an FC hybrid power train system and evaluation of its simulations for a given speed profile through two alternative power management algorithms (PMAs). Parameters suitable for a small vehicle were taken into consideration in the mathematical model of the vehicle. The proposed hybrid power train consists of an energy storage system, composed of a 4-kg battery pack (either lithium-ion (Li-ion) battery, nickel metal hydride, or nickel–cadmium) and a direct methanol fuel cell (DMFC) as the range extender. The PMAs basically aim to fulfill the power requirements of the vehicle and decide how to command the power split between the battery and the FC. The model comprising a DMFC, a battery, and PMAs was developed in MATLAB/Simulink environment. The polarization curve of the FC was obtained using a one-dimensional DMFC model. Vehicle power requirements for a drive cycle were calculated using the equations of longitudinal dynamics of vehicle, and the results were integrated into MATLAB/Simulink model. As a result of the simulations, methanol consumption, state of charge of the battery, and power output of the FC were compared for the PMAs. This comparison shows the effect of PMAs on the hybrid vehicle performance for three battery types. The results indicate that the vehicle range could be increased when proper strategy is used as PMA.     

The influence of biomass energy consumption on CO<Subscript>2</Subscript> emissions: a wavelet coherence approach

In terms of today, one may argue, throughout observations from energy literature papers, that (i) one of the main contributors of the global warming is carbon dioxide emissions, (ii) the fossil fuel energy usage greatly contributes to the carbon dioxide emissions, and (iii) the simulations from energy models attract the attention of policy makers to renewable energy as alternative energy source to mitigate the carbon dioxide emissions. Although there appears to be intensive renewable energy works in the related literature regarding renewables’ efficiency/impact on environmental quality, a researcher might still need to follow further studies to review the significance of renewables in the environment since (i) the existing seminal papers employ time series models and/or panel data models or some other statistical observation to detect the role of renewables in the environment and (ii) existing papers consider mostly aggregated renewable energy source rather than examining the major component(s) of aggregated renewables. This paper attempted to examine clearly the impact of biomass on carbon dioxide emissions in detail through time series and frequency analyses. Hence, the paper follows wavelet coherence analyses. The data covers the US monthly observations ranging from 1984:1 to 2015 for the variables of total energy carbon dioxide emissions, biomass energy consumption, coal consumption, petroleum consumption, and natural gas consumption. The paper thus, throughout wavelet coherence and wavelet partial coherence analyses, observes frequency properties as well as time series properties of relevant variables to reveal the possible significant influence of biomass usage on the emissions in the USA in both the short-term and the long-term cycles. The paper also reveals, finally, that the biomass consumption mitigates CO₂ emissions in the long run cycles after the year 2005 in the USA.     

Interactions between energy consumption,international trade,and real income in Canada: An empirical investigation from a new version of the Solow growth model

This study investigates the empirical relationship between energy consumption, international trade, and real income in Canada which has an important role in global energy and trade. It employs bound tests to level relationships and conditional error correction models through ARDL specification to a new version of the Solow Growth model. Using annual data of the 1960–2010 period, results reveal a long-term relationship between energy consumption, international trade, and real income in Canada. It is also found that energy exporting activity is the determinant (driver) of energy consumption through the channel of real income and energy consumption is the determinant (driver) of exports through the channel of real income in the long term of the Canadian economy. Exports and energy use are the determinants (drivers) of real income in the long term of the Canadian economy; therefore, as conditional Granger causality tests suggest there is feedback relationship between energy consumption, international trade, and real income in the long term of the Canadian economy. The present study suggests that any energy conservation policies are likely to have negative influence on output and international trade in Canada.     

道路交通网络与城市土地利用时空耦合关系——以南京市为例

城市的扩张与道路交通的发展是相辅相成的。道路建设造成了城市景观的破碎化,使城市景观呈现不同的空间格局和空间异质性特征,并且这种空间异质性随着时间的变化而发生改变。在RS和GIS技术的支持下,利用1989、1999和2008年的Landsat TM/ETM+数据,以南京市为例对道路交通网络与城市土地利用之间关系进行了不同层次和尺度的空间分析。结果表明：1989～2008年近20 a来,南京市城市空间形态扩展迅速,建设用地面积从1989年的1003 km2增加到2008年的6847 km2;在不同时期,南京市城市化过程表现出不同的道路交通网络结构和城市空间扩展模式;由道路交通建设造成的局部区域的景观破碎度在一定程度上能够反映周边区域的土地利用强度;土地利用强度和由道路交通建设造成的景观破碎度均表现出显著的空间自相关性,随时间推移,这种特征愈加明显,并且二者在表征城市空间拓展方面具有较高的耦合度;受其他辐射中心的作用,交通干线周边地区土地利用强度并未表现出距离指数衰减效应     

基于“四元主体模型”的城市技术创新体系研究

依据创新型城市的基本内涵,构建出四元城市创新体系模型,形成以四元创新主体为核心,集知识、技术于一体的网络创新体系,说明城市创新体系四元模型中,各主体之间的关系及其伴随社会的不同发展时期四元模型的变化趋势和变化过程中主导驱动元素扮演的角色、作用和地位。     

Histopathological and biochemical alterations of the earthworm (Lumbricus Terrestris) as biomarker of soil pollution along Porsuk River Basin (Turkey)

This study investigated biomarker responses of the earthworm Lumbricus terrestris in order to evaluate the soil pollution along Porsuk River Basin. Samples consisted of animals from six sites that are agricultural regions and a forested control. Histopathological and biochemical alterations were examined. Significant histopathological alterations were observed in animals from three of the sampling sites. There was an enlargement of epithelial cell lining, mucus cell hyperplasia and increase in mucus secretion. Circular and longitudinal muscles lost their structural integrity. Chloragogenous tissue was dilated and vocuolized. Necrosis was observed in the cells and tissues of some affected worms. A load of heavy metals in tissues of animals was determined. Heavy metals were found to be accumulated particularly in longitudinal muscles of animals. CAT activity was found to be increased in animals from three of the experimental sites. GST activity was also increased in five sites while it was stable in one site. The results have shown that animals from locations particularly that are close to urbanized and industrialized regions were seriously affected from the soil pollution around the basin. These results are reflecting the biological effects of soil pollution around Porsuk River Basin on the indicator organism L. terrestris and constitute an early warning of ecological change in relation to human health.     

Spatial and temporal variability of ²¹⁰Po and ²¹⁰Pb in mussels (Mytilus galloprovincialis) at the Turkish coast of the Aegean Sea

In this study, the activity concentrations of ²¹⁰Po and ²¹⁰Pb were determined in mussel samples (Mytilus galloprovincialis) collected from the Turkish coast of the Aegean Sea. The samples were collected seasonally for a period of two years (2004-2006) at six coastal stations (Çanakkale, Dikili, Foça, Çe?me, Didim, Bodrum). Mussels were separated into several groups according to their size (1-4, 4-6, >6 cm). The results showed that ²¹⁰Po concentrations in mussels varied between 53 ± 4 and 1960 ± 60 Bq kg⁻¹ dw. The highest activity ²¹⁰Po concentrations were determined in winter samples of mussels with a shell length of 4-6 cm from Didim. In general, it was observed that the ²¹⁰Pb concentration levels in mussels were lower than ²¹⁰Po concentrations. The ²¹⁰Po/²¹⁰Pb activity concentration ratios exceeded unity for all mussel samples and averaged 26.0. The inter-site differences seen in ²¹⁰Po concentrations can be due to both the natural background levels of sites and industrial activities.     

Spatial distribution and source apportionment of PCBs in sediments around İzmit industrial complexes, Turkey

The spatial distribution, degree of pollution and major sources of PCBs were evaluated in surficial sediments within the heavily urbanized and industrialized ?zmit Bay and its main freshwater inputs. ΣPCB concentrations range from 2.90 to 85.4ngg(-1) in marine sediments and from ND to 47.7ngg(-1) in freshwater sediments. Results suggest that high concentrations of ΣPCBs were localized around a chlor-alkali plant and an industry that handles bulk liquid, dry and drummed chemicals, and petroleum products in the Bay. Using a chemical mass balance receptor model (CMB), major sources of PCBs in the region were investigated. The CMB model identified Aroclor 1254 and 1260 to be the major PCB sources in marine sediments and the less chlorinated Aroclor 1248 and 1242 as the major PCB sources in freshwater sediments. The potential sources for the PCBs were briefly discussed in terms of their use in various industrial applications.     

Heavy metal pollution in surface sediment and mussel samples in the Gulf of Gemlik

Different sources of pollution in Karasu Creek were investigated to obtain the water quality and ratio of contamination in this region. To achieve the main objectives of the present study, water samples were collected from Karasu Creek, starting from flow pattern at the upstream site of Akkaya Dam to the end of the dam, crossing the place where the Creek drains into. Dissolved oxygen, electrical conductivity, temperature and maximum/minimum pH were measured systematically for 12 months in the stations, where the water samples were collected. Chemical analyses of the water samples were carried out by using Cadas 50 S brand UV spectrometer to find out the Pb, Fe, Cu, Zn, Ni, Cr, Cd, S, F and Cn concentrations. These concentration were determined in μg/lt as 80–850; 180–4,920; 10–6,100; 440–25,530; 130–2,400; 120–280; 20–150; 214,250–1,113,580; 1,560–4,270 and 40–690, respectively. To determine metal levels of the water samples, multivariate analyses (element coefficient correlation, coefficient correlation dendrogram, hierarchical cluster analysis dendrogram, model summary and ANOVA) were used. The analyses yielded highly accurate results. There were positive correlations between some elements and their possible sources were the same. The stations which resembled each other along the creek were divided into three groups. The water quality of the creek was low and had toxic qualities. Eutrophication developed in Akkaya Dam along the creek. The source of pollution was thought to be industrial and residential wastes. Absolute (0–100 m), short distance (100–500 m) and medium distance (500–2,000 m) conservation areas should be determined in pollution areas along Karasu Creek and they should be improved.