A novel state-of-charge-based method for plug-in hybrid vehicle electric distance analysis validated with actual driving data

Mitigation and Adaptation Strategies for Global Change - Promoting Plug-In Hybrid Vehicles (PHEVs) is viewed as a promising strategy to mitigate the energy consumption and greenhouse gas...     

Well-to-wheels greenhouse gas and air pollutant emissions from battery electric vehicles in China

Mitigation and Adaptation Strategies for Global Change - Electric vehicles (EVs) play a crucial role in addressing climate change and urban air quality concerns. China has emerged as the global...     

Optimal range of plug-in electric vehicles in Beijing and Shanghai

Both China’s national subsidy policies for plug-in electric vehicles (PEVs) purchasers and passenger cars corporate average fuel consumption and new vehicle credit regulation (dual-credit policy) favor long-range 300+ km battery electric vehicles (BEVs) and 80+ km plug-in hybrid electric vehicles (PHEVs). However, these electric vehicles tend to have lower energy efficiency and higher purchase and operation costs. Vehicle with larger batteries can also be less equitable because the subsidies are often provided to more expensive vehicles and wealthier owners. This study takes advantage of a novel dataset of daily driving data from 39,854 conventional gasoline vehicles in Beijing and 4999 PHEVs in Shanghai to determine the optimal range of BEVs and PHEVs within their respective cities. We simulate a model to explore ranges with which PEVs emit less GHGs than that of a baseline hybrid and conventional gasoline vehicle while ensuring that all daily travel demands are met. Our findings indicate that in both cities, the optimal ranges to balance cost and travel demand for BEVs are 350 km or less and for PHEVs are 60 km or less in Beijing and 80 km or less in Shanghai. We also find that to minimize carbon dioxide (CO₂) emissions, the ranges are even lower 10 km in Beijing and 30 km in Shanghai. Our study suggests that instead of encouraging long-range PEVs, governments should subsidize PEV models with shorter ranges. Parallel efforts should also be made to both increase renewable energy over fossil fuels and expand charging facilities. Although individual mobility demand varies, the government could reduce occasional long-distance driving by subsidizing alternative transportation choices. Providing week-long driving trials to consumers before their purchases may help decrease the demand of very long range PEVs by alleviating the range anxiety through a learning process.

     

Green innovation efficiency across China’s 30 provinces: estimate,comparison, and convergence

Mitigation and Adaptation Strategies for Global Change - Considering government and market failure of environmental regulation to combat increasing GHG (greenhouse gas) emissions, green innovation...     

土地承载力研究范式的变迁、分化及其综论

基于Kuhn范式理论,将现有土地承载力研究成果显化、梳理为4种主要研究范式,即基于限制因子的研究范式、基于多因素综合的研究范式、基于参照区的研究范式、基于生态足迹的研究范式。以范式应用的时代背景、空间尺度为着眼点,对各类范式进行综合比较,结果显示：基于限制因子的土地承载力研究范式起源最早、发展最为成熟,基于多因素综合、基于参照区、基于生态足迹的3种研究范式,均是以前者为基础,按照不同的方向分化而成;范式分化的原因在于时空条件的变化所引致的亟需解释、解决的现实问题的变化。范式本身并无优劣之分,但有其独特的适应性：基于限制因子、基于生态足迹的两种研究范式适用于全球及国家等大尺度土地承载力问题,且发展较为成熟,其成果具有较强的理论和实践指导意义;基于多因素综合及基于参照区的两种研究范式适用于市县等中小尺度,但其研究较为薄弱,所得的承载力分值、承载力相对值对区域土地管理实践的指导价值有限。当前,市县等中小尺度土地承载力研究亟需加强,其指导实践的有效性与可操作性亟待大幅度提高。     

南海浮游植物对沙尘和灰霾添加的响应

通过2016年5月~6月在南海3个站位开展的船基围隔培养实验,研究了沙尘和灰霾添加对南海浮游植物生长和群落结构变化的影响.结果发现,沙尘和灰霾添加由于提供了N、P等营养盐,整体上促进了浮游植物的生长,且促进程度与添加量密切相关.通过定量计算营养盐指数和叶绿素a累积浓度,发现培养期间叶绿素a累积浓度与沙尘添加浓度呈显著正相关关系（R²=0.87,P<0.01）;低浓度灰霾添加的作用与沙尘添加类似（R²=0.91,P<0.01）,但当灰霾浓度增大时,叶绿素a累积浓度的增加受到一定程度的抑制,这可能与灰霾中含有较高含量的毒性物质有关.各粒级浮游植物叶绿素a浓度的变化表明,沙尘和低浓度灰霾添加使浮游植物优势种群由超微型向小型和微型转变;在高浓度灰霾添加组,由于营养盐与毒性物质的综合作用,浮游植物粒级结构变化不明显.超微型浮游植物细胞丰度测定结果表明,沙尘对聚球藻、原绿球藻和超微型真核浮游植物均表现出促进作用,高浓度灰霾添加能够抑制聚球藻和超微型真核浮游植物的生长.     

基于静止卫星GOCI传感器的大气污染过程AOD监测

针对北京及周边地区2017年11月2~8日的一次污染过程,利用韩国静止卫星COMs1GOCI数据,对北京地区进行AOD监测.AOD反演采用时间序列迭代算法,根据地表反射率随时间慢变而大气气溶胶随时间快变的理论,采取最小值拟合的方式,获取气溶胶光学厚度数据.反演结果与地基AERONET监测结果具有很好的一致性,两者的相关系数R²大于0.89.AOD监测结果表明,GOCI传感器1次/h的监测频率,可以很好地展现北京地区大气污染过程的开始,发展及消散过程,可以展示出一天之内AOD的变化,为大气污染监测以及气候变化研究提供依据.