基于AIS数据的中国沿海集装箱港口碳排放

为了精确有效地测量船舶在港碳排放,提出了一种基于海量船舶AIS (Automatic identification System)航行轨迹数据的港口碳排放计算框架,并结合上市港务公司经营数据,估算港口碳排放承担能力.以中国11个沿海主要集装箱港口为例,采用2018年全球4280艘集装箱船的AIS轨迹全年数据计算碳排放社会成本.结果显示:中国沿海集装箱港口碳排放量与船舶抵港艘次整体呈正相关,上海港是全球第一大集装箱港口,2018年其港口CO₂排放量最高,为69.3万t;船舶靠港作业时,在泊和锚泊状态CO₂的排放比例较高,占碳排放比例的65.8%;从CO₂排放社会成本来看,上海港域内的船舶碳排放社会成本最高,2018年需要支付2459.6万元,从承担碳排放社会成本的能力来看,连云港压力较大,每亿营业收入需要承担碳排放社会成本24.46万元.     

内蒙古河套灌区春小麦挥发性有机物排放特征

于2021年5月下旬至6月中旬,采用动态箱采样法对内蒙古河套灌区17种春小麦排放生物源挥发性有机物(BVOC)进行了研究,同时记录了温度、湿度和光合有效辐射(PAR)等参数.结果表明:内蒙古河套灌区春小麦主要排放异戊二烯、α-蒎烯和甲苯,生长期其排放率分别为(0.85~39.31),(2.60~14.32)和(6.41~35.39)ng/(g·h),成熟期其排放率分别为(1.75~7.99),(1.11~5.81)和(1.91~25.61)ng/(g·h);生长期异戊二烯、单萜烯类和BTEX标准状态(T=303K,PAR=1000µmol/(m²·s))下排放率分别为(12.92±5.14),(11.98±7.13)和(23.13±7.32)ng/(g·h),成熟期分别为(2.47±0.64),(5.73±1.19)和(14.23±5.27)ng/(g·h),生长期的排放率明显大于成熟期;一定环境温度和PAR范围内,河套灌区春小麦BVOC排放率与环境温度和PAR均呈指数相关,具有明显的日变化特征,但环境温度超过45℃时会抑制其BVOC排放率.     

Optimization via response surface methodology of the synthesis of a dust suppressant and its performance characterization for use in open cut coal mines

To relieve dust pollution in open cut coal mines and reduce the hazards of coal dust pollution to the environment and workers we optimized the synthesis of a dust suppressant by graft copolymerization of environmentally friendly soy protein isolate with methyl methacrylate. This dust suppressant could effectively control dust pollution in open cut coal mines. The optimized conditions for graft copolymerization in this case were determined by a response surface experiment designed with Design-Expert 10 software. Characterization by scanning electron microscopy showed a significant morphology change of the dust suppressant and the generation of a rigid and dense layer on its surface after interacting with coal dust. The layer exhibited good bonding and dust suppression performance. The analysis with Fourier-transform infrared spectroscopy revealed the appearance of new absorption peaks near 1300, 1072, and 1631 cm⁻¹, demonstrating effective graft copolymerization. The proposed dust suppressant exhibited excellent wind erosion resistance, with a resistance that exceeded 90% at a wind speed of 6.5 m/sec. The successful graft copolymerization and effective bonding and curing of the dust suppressant on coal dust were experimentally verified. This is of great significance to the control of coal dust pollution.     

A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China

The conventional Ensemble Kalman filter (EnKF), which is now widely used to calibrate emission inventories and to improve air quality simulations, is susceptible to simulation errors of meteorological inputs, making accurate updates of high temporal-resolution emission inventories challenging. In this study, we developed a novel meteorologically adjusted inversion method (MAEInv) based on the EnKF to improve daily emission estimations. The new method combines sensitivity analysis and bias correction to alleviate the inversion biases caused by errors of meteorological inputs. For demonstration, we used the MAEInv to inverse daily carbon monoxide (CO) emissions in the Pearl River Delta (PRD) region, China. In the case study, 60% of the total CO simulation biases were associated with sensitive meteorological inputs, which would lead to the overestimation of daily variations of posterior emissions. Using the new inversion method, daily variations of emissions shrank dramatically, with the percentage change decreased by 30%. Also, the total amount of posterior CO emissions estimated by the MAEInv decreased by 14%, indicating that posterior CO emissions might be overestimated using the conventional EnKF. Model evaluations using independent observations revealed that daily CO emissions estimated by MAEInv better reproduce the magnitude and temporal patterns of ambient CO concentration, with a higher correlation coefficient (R, +37.0%) and lower normalized mean bias (NMB, -17.9%). Since errors of meteorological inputs are major sources of simulation biases for both low-reactive and reactive pollutants, the MAEInv is also applicable to improve the daily emission inversions of reactive pollutants.     

中国城市化发展阶段与CO2排放的关系研究

目前节能减排已经成为中国“十二五”规划面临的主要任务之一,相关部门在进行决策时不能不考虑城市发展水平与CO2排放的关系.通过协整理论及修正误差模型分析结果表明,由于中国经历着经济转轨和社会转型,虽然1949-2007年城市化与CO2排放并不存在长期均衡关系,但改革开放前后城市化和CO2排放量都呈现出长期稳定的比例关系,即CO2排放随着城市化水平的提高而不断提高,且改革开放前后城市化水平对CO2排放影响存在差异.另外,尽管从短期来看,CO2排放不受当年城市化变动的影响,但从长期来看,不论改革开放前还是改革开放以后,城市化与CO2排放之间具有长期的稳定关系.城市化对CO2排放的影响存在一定的滞后性.因此,相关政府部门在进行决算时不能脱离城市化发展阶段,即要考虑短期影响,更要在战略高度进行长期规划,可通过把握城市化的进程来控制CO2排放增长的速度.     

A new prediction method for dust explosion venting at high static activation pressures

Venting is an effective way to prevent harmful dust explosions, but the existing prediction methods are imprecise and are suitable only for applications with low activation pressures. A new method is proposed for predicting pressures based on an analysis of energy losses at high activation pressures and verified by aluminum dust explosion experiments. Compared with the experimental results, the results of the new model are relatively stable under working conditions with different activation pressures and venting areas. Based on the analysis of energy losses, the changes in the energy loss rate, temperature, and venting velocity during venting are found to be asynchronous. The thermal energy loss, which accounts for over 80 percent of the total, is expected to be larger than the kinetic energy loss. The thermal energy loss rate changes rapidly during venting, while the kinetic energy loss rate remains relatively stable. The new model is more accurate than the NFPA68 standard, which fails to consider the thermal energy loss. Neglecting the thermal energy loss may result in an underestimation of the pressure reduction; this error increases with decreasing activation pressure.     

Theoretical evaluation of lower explosion limit of hybrid mixtures

Lower explosion limits of hybrid fuel mixtures are usually determined through time consuming and expensive experiments. Although, mathematical expressions like Le-Chatelier's Law and Bartknecht curve have been used by many researchers to predict the LEL of hybrid mixtures, significant deviations remain unexplained. This research work, presents a more sophisticated and general approach for the determination of LEL of hybrid mixtures.Assuming that the combustion kinetics of pure species are independent and unchanged by the presence of other combustible species, complete conversion of the reactants and no heat losses, a simple mathematical model has been derived from the enthalpy balance of the whole system. For the experimental validation of the modelled values, modified version of 20L sphere has been employed, following the European standard (EN 14034-3: 2011) as experimental protocol. Hybrid mixtures of three dusts with two gases were selected for the scope of this publication. By analyzing the modelled as well as the experimental values, it can be concluded that the LEL values of the individual components in the hybrid mixture set the upper and lower limit for the LEL of the hybrid mixture provided the total amount of fuel in the system is considered as the concentration of the hybrid mixture. Moreover, the amount of dust or gas required to render the hybrid mixture flammable mainly depends on the energy contribution upon combustion of the individual species to raise the temperature of the whole system from ambient to the flame temperature.Le-Chatelier's Law and Bartknecht curve are empirical relations, which might hold true for a first-order approximation of LEL of hybrid mixtures, but do not represent the most conservative values of LEL reported in literature. This implies that there is a non-zero probability of occurrence of an explosible mixture in the non-explosible concentrations ranges defined by these relations. Considering these arguments, the authors suggest to employ the model presented in this paper – which presents reasonably conservative values of LEL of hybrid mixtures – for theoretical calculation of LEL of hybrid mixtures, when no precise experimental data is available.     

Enrichment and transfer of polycyclic aromatic hydrocarbons (PAHs) through dust aerosol generation from soil to the air

● Compositional patterns of PAHs in dust aerosol vary from soil during dust generation. ● The EF of PAH in dust aerosol is affected by soil texture and soil PAH concentration. ● The sizes of dust aerosol play an important role in the enrichment of HMW-PAHs. Polycyclic aromatic hydrocarbons (PAHs) are major organic pollutants in soil. It is known that they are released to the atmosphere by wind via dust aerosol generation. However, it remains unclear how these pollutants are transferred through the air/soil interface. In this study, dust aerosols were generated in the laboratory using soils (sandy loam and loam) with various physicochemical properties. The PAH concentrations of these soils and their generated dust aerosol were measured, showing that the enrichment factors (EFs) of PAHs were affected by soil texture, PAH contamination level, molecular weight of PAH species and aerosol sizes. The PAHs with higher EFs (6.24–123.35 in dust PM_2.5; 7.02–47.65 in dust PM₁₀) usually had high molecular weights with more than four aromatic rings. In addition, the positive correlation between EFs of PAHs and the total OC_aerosol content of dust aerosol in different particle sizes was also statistically significant (r = 0.440, P < 0.05). This work provides insights into the relationship between atmospheric PAHs and the contaminated soils and the transfer process of PAHs through the soil-air interface.     

Numerical study of dust lifting using the Eulerian–Eulerian approach

The present paper shows a numerical investigation of dust lifting behind a moving pressure wave. The dispersion of combustible dust has previously been discovered to be a precursor to a potential dust explosion. Consequently, a growing interest on the subject has been observed in recent years. Numerous studies have been performed on dust lifting, however, very few investigations have focused on dust layers with high volume fractions. Therefore, the aim of this investigation was to provide additional data. The simulations were carried out in a three-dimensional duct with a dust layer dispersed along the lower wall. The Eulerian–Eulerian approach was selected as the modelling technique. At first, four simulations varying the initial pressure and volume fraction of the dust were performed. The former parameter was varied between 4 and 8 bar, while the latter varied between 0.4 and 0.6. The combination of high initial pressure and high volume fraction resulted in the greatest dispersion of dust. Subsequently, two different drag force models were compared: the Schiller–Naumann, and the Gidaspow. It was discovered through this research that the choice of model caused significantly different results. The former model was found to underestimate the drag in the diluted parts of the layer. Consequently, this led to a distinctly lower lifting of the dust than in the latter model. Finally, a validation of a particle–particle interaction model was performed. It was observed that in the case where the model was disabled, an unrealistically high maximum volume fraction of the dust layer occurred. Nevertheless, the model did not seem to improve the dispersion results, which indicates that the dust lifting in this research was solely due to fluid–particle interactions.     

Cross-country electricity trade,renewable energy and European transmission infrastructure policy

This paper develops a multi-country multi-sector general equilibrium model, integrating high-frequency electricity dispatch and trade decisions, to study the effects of electricity transmission infrastructure (TI) expansion and renewable energy (RE) penetration in Europe for gains from trade and carbon dioxide emissions in the power sector. TI can benefit or degrade environmental outcomes, depending on RE penetration: it complements emissions abatement by mitigating dispatch problems associated with volatile and spatially dispersed RE but also promotes higher average generation from low-cost coal if RE production is too low. Against the backdrop of European decarbonization and planned TI expansion, we find that emissions increase for current and targeted year-2020 levels of RE production and decrease for year-2030 targets. Enhanced TI yields sizeable gains from trade that depend positively on RE penetration, without creating large adverse impacts on regional equity.