Emission inventory and control policy for non-road construction machinery in Tianjin

Environmental Science and Pollution Research - The establishment of a non-road construction machinery emission inventory forms the basis for the analysis of pollutant emission characteristics and...     

Exploring volatility of carbon price in European Union due to COVID-19 pandemic

Environmental Science and Pollution Research - The European Union (EU) Emissions Trading System is the most important means for the EU to achieve carbon neutrality, but it has been severely...     

Power to gas: an option for 2060 high penetration rate of renewable energy scenario of China

Replacing conventional fossil fuel power plants with large-scale renewable energy sources (RES) is a crucial aspect of the decarbonization of the power sector and represents a key part of the carbon-neutral strategy of China. The high penetration rate of renewable energy in the electricity system, however, implies the challenges of dealing with the intermittency and fluctuation of RES. Power to gas (P2G), which can convert surplus renewable power into a chemical form of energy (i.e., synthetic gas), can help handle this challenge and supply new energy carriers for various energy sectors. By modeling three potential 2060 energy mix scenarios in China, this paper aims to describe the possible contribution of the high penetration rate of renewable energy combined with P2G in the future sustainable energy system. Different schemes are listed and compared, and the results are used in a basic economic evaluation of the synthetic gas production cost for the P2G plants. Ideally, nearly 18 million tons of carbon dioxide would be recycled and transformed into methane (around 9.37 km³) annually in China. Considering a zero price for the excess renewable power and future costs of the components, the levelized cost of energy (LCOE) of the final production of methane is estimated at 0.86 $/m³_SNG.

     

Developing a method for assessing environmental sustainability based on the Google Earth Engine platform

Environmental sustainability is the foundation and of great significance for the sustainable development of urban agglomerations. Taking the Beijing-Tianjin-Hebei urban agglomeration as an example, we developed a method to effectively assess long-term regional environmental sustainability based on the Google Earth Engine (GEE) platform. We used the GEE to obtain 5206 Landsat remote sensing images in the region from 1983 to 2016 and developed the comprehensive environmental index (CEI) to assess regional environmental sustainability based on the theme-oriented framework proposed by the United Nations Commission on Sustainable Development. We found that the environmental sustainability of the urban agglomeration showed a trend of first rising, then falling, and then rising again in the past 30 years. The average CEI increased from 0.621 to 0.631 from 1985 to 1990, dropped to the lowest value of 0.618 in 2000, and then rose to the highest value of 0.672 in 2015. In particular, the extent of areas in which environmental sustainability improved (56% of the region) was greater than the extent of areas in which environmental deterioration occurred. The environmental sustainability of Hengshui, Xingtai, and Cangzhou in the southeast of the region has been significantly improved. The method proposed in this study provides an automatic, rapid, and extensible way to assess regional environmental sustainability and provides a scientific reference for improving the sustainability of the regional environment.

     

Near-surface wind profile test based on accuracy verification of UAV anemometer lifting height in an urban fringe built-up area

Environmental Science and Pollution Research - Multirotor UAVs (unmanned aerial vehicles) have been widely used in urban vertical wind environment testing, whereas less attention has been given to...     

The role of N6-methyladenosine methylation in environmental exposure-induced health damage

Environmental Science and Pollution Research - The health risks caused by environmental pollution have long been of substantial concern. With the development of epigenetics, a large number of...     

基于高光谱特征提取的藻类叶绿素a反演模型

选取自然界中分布较广泛的小球藻和铜绿微囊藻为研究对象,进行室内藻类光谱试验,同步测定其ρ(叶绿素a),并分别建立基于混合高斯函数的小球藻和铜绿微囊藻高光谱信息模型. 在此基础上,利用模拟退火算法实现模型的非线性参数拟合,提取这2种藻的高光谱特征,通过非线性回归分析,反演得到分解后的高光谱信息模型的峰高(h_i)与ρ(叶绿素a)的定量模型,实现对水体中小球藻和铜绿微囊藻ρ(叶绿素a)的预测. 结果表明:藻类高光谱特征提取算法能有效揭示小球藻和铜绿微囊藻的光谱本质特征,并得出相应的小球藻和铜绿微囊藻叶绿素a反演模型.      

引江济巢对巢湖的水环境影响分析

建立了巢湖一维水质模型DYRESM-CAEDYM,并利用2005年的实测水质、水文、气象等数据对模型进行了参数率定,确立了适用于巢湖水环境特征的水质模型参数. 应用该模型模拟了调水对巢湖TN,TP和Chl-a指标的影响,结果表明,年调水量为9.57×108 m3时可使巢湖的ρ(TN)和ρ(TP)下降约16%和19%,ρ(Chl-a)峰值从51.42 μg/L降至38.96 μg/L,ρ(Chl-a)超过30 μg/L的天数从26 d减少到16 d,对巢湖夏季蓝藻暴发具有一定的缓解作用. 对比分析了流域污染综合治理对巢湖水环境的改善效果,结果显示,如果各支流的入湖污染负荷能够削减5%,同时开展底泥清淤工作,可使巢湖的ρ(TN)和ρ(TP)得到较大程度的改善,与没有治理的情况相比分别降低约24.9%和33.3%,使巢湖夏季的ρ(Chl-a)峰值从51.42 μg/L降至32.72 μg/L,ρ(Chl-a)超过30 μg/L的天数从26 d减少到7 d.      

Synthesizing alternative sequences via a P-graph-based approach in azeotropic distillation systems

The present work proposes a P-graph based approach capable of systematically generating all combinatorially feasible alternative sequences for both continuous and batch azeotropic distillation systems when the feeds, products, and operating units and their concomitant intermediate materials are known. To facilitate synthesis, a highly effective method has been established to identify processing or operating units necessary for constructing azeotropic-distillation systems by means of first principles and logical sequencing of such units. The materials represented in the space of the residue curve map are partitioned into lumped materials bounded by thermodynamic boundaries and pinches, e.g. distillation boundaries and liquid–liquid phase equilibrium envelope. Subsequently, the operating units are identified on the basis of these lumped materials. The proposed approach automatically discards the operating units and intermediates whose inclusion will lead to infeasible sequences. The efficacy of the approach is illustrated with a realistic example.     

影响催化转化器非稳态性能的因素分析

建立数学模型对催化转化器起燃温度特性曲线进行模拟,模拟结果与实验测量结果吻合较好。用数学模型考察和分析了气流状态和催化剂参数和载体参数等因素对催化器非稳态转化性能的影响。