Assessing the mechanism of barriers towards green finance and public spending in small and medium enterprises from developed countries

Environmental Science and Pollution Research - Due to their different abilities to improve financial growth and improve social development, small and medium enterprises (SMEs) have been referred to...     

Morphology and composition of particles emitted from conventional and alternative fuel vehicles

Size, morphology, and composition of airborne particles strongly affect human health and visibility, precipitation, and the kinetic characteristics of particles. In this study, the morphology and chemical composition of particles emitted from conventional (diesel and gasoline) and alternative (CNG and methanol) fuel vehicles were characterized through scanning electron microscopy (SEM) and energy-dispersive X-ray (EDX). The SEM images revealed that the size of primary particles (without agglomeration) was approximately 10 nm in the exhaust from all the tested vehicles. The particles emitted from gasoline vehicle (GV), CNG vehicle (CNGV), and methanol vehicle (MV) had the same median diameter, 62 nm, which was smaller than those from heavy diesel vehicle (HDV) and light diesel vehicle (LDV). Soot was observed in the HDV, LDV, and GV samples but not in the CNGV and MV. The fractal dimension, which was used to quantify the degree of irregularity of soot, was 1.752 ± 0.014, 1.789 ± 0.076, and 1.769 ± 0.006 in the exhaust from HDV, LDV, and GV samples, respectively. The particles discharged by all tested vehicles contained the elements C, O, Fe, and Na. The main element in the samples of HDV, LDV, and GV was C, while O was the main element in the samples of alternative fuel vehicles. The profiles of minor elements were more complex in the emissions of alternative fuel vehicles than those in the emissions of conventional fuel vehicles. The results improved our understanding of the morphology and elemental composition of particles emitted from vehicles powered by diesel, gasoline, CNG, and methanol.

     

Microplastic pollution in freshwater systems in Southeast Asia: contamination levels,sources, and ecological impacts

Environmental Science and Pollution Research - Plastics are synthetic polymers known for their outstanding durability and versatility, and have replaced traditional materials in many applications....     

协同治理理论视角下连云港湾长制试点存在的问题及对策

近岸海域环境综合治理是典型的公共产品和公共服务,需要多个主体协同治理。连云港湾长制已实施两年多,虽取得了一定成效,但从协同治理理论来看,仍存在治理主体相对单一、公众参与不足问题。因此,今后应以协同治理理论为指导,形成多元的治理主体,树立各个治理主体的权威性,加强各治理主体的协同性,充分发挥各治理主体的积极性,共同推进湾长制的实施。     

Occurrence,source apportionment,and carcinogenic risk assessment of polycyclic aromatic hydrocarbons in urban road dusts in Shanghai

Environmental Science and Pollution Research - Polycyclic aromatic hydrocarbons (PAHs), as a class of important environmental pollutants, have received considerable concern due to their widespread...     

三门峡水库水体中不同形态汞的分布特征

为了解三门峡水库水体中不同形态汞的分布特征,在丰水期和枯水期对三门峡水库进行采样,分别采用冷原子荧光光谱法(CVAFS)和蒸馏-乙基化衍生-气相色谱-冷原子荧光法(GC-CVAFS)测定水样中总汞、总甲基汞、溶解态总汞和溶解态甲基汞的浓度.结果表明,三门峡水库水体中总汞、溶解态汞和颗粒态汞浓度范围分别为1.65~9.65、0.80~3.16和0.70~7.81 ng·L~(-1),符合国家地表水环境质量标准(GB 3838-2002)一类水汞浓度标准限值;总甲基汞、溶解态甲基汞和颗粒态甲基汞浓度分别为0.05~0.36、0.02~0.14和ND~0.26 ng·L~(-1).三门峡水库水体总汞和甲基汞在季节和空间分布上没有呈现出明显的变化规律.总汞和甲基汞与未受污染的天然水体差别不大,水库未受到明显的汞污染.丰、枯水期沉积物中总汞浓度分别为(92.96±10.65)ng·g~(-1)和(80.06±19.14)ng·g~(-1),甲基汞浓度分别为(0.33±0.14)ng·g~(-1)和(0.50±0.19)ng·g~(-1).较低的甲基汞浓度说明在三门峡水库汞的迁移转化过程中,甲基化作用可能并非主要的过程,这可能与水体底层溶解氧浓度较高以及沉积物中有机质浓度较低有关.     

常规施肥条件下农田不同途径氮素损失的原位研究:以长江中下游地区夏玉米季为例

为了解农田常规施肥条件下的不同途径氮素损失特征,本文通过田间原位试验同步研究了长江中下游地区夏玉米生长季氮肥施用后的农田N2O排放、NH3挥发、氮渗漏和地表径流的变化.结果表明,在复合肥为基肥,尿素为追肥,基追肥氮素水平均为150 kg·hm-2的条件下,整个玉米生长季N2O排放系数为3.3%,NH3挥发损失率为10.2%,氮渗漏和地表径流损失率分别为11.2%和5.1%.此外,基肥施用以氮素渗漏损失为主,而追肥氮素损失以氨挥发和渗漏为主,表明不同途径化肥氮素损失主要受氮肥品种影响,玉米季追肥可改用低氨挥发氮肥品种以减少氮素损失.     

基于车载测试的重型柴油车尾气典型烷烃排放特征

本文采用车载排放测试系统对11辆国Ⅰ~国Ⅳ标准重型柴油车进行实际道路测试,利用GC-MS对样品中典型烷烃进行定量分析,解析重型柴油车尾气典型烷烃排放特征及规律.结果表明,排放标准对重型柴油车尾气中正构烷烃、藿烷类有机物排放有显著影响,总体呈现随排放标准的加严而降低的趋势,相比于国Ⅰ测试车辆,国Ⅳ测试车辆正构烷烃、17α(H),21β(H)-C30藿烷(C30-藿烷)、22S-和22R-17α(H),21β(H)-C31升藿烷(22S-C31升藿烷;22R-C31升藿烷)总排放因子分别降低了72.23%,64.95%,70.78%和74.68%.气相正构烷烃呈双峰前锋型,以C17~C18为主峰碳,固相呈单峰前锋型,以C18~C21为主峰碳.藿烷类有机物其22S-C31升藿烷/(22S-C31升藿烷+22R-C31升藿烷)的比值在0.46~0.56之间,平均值为0.50,符合石油中藿烷的分布特征.正构烷烃总排放因子与17α(H),21β(H)-C30藿烷总排放因子呈现出一定的线性关系,其R~2为0.926 8.此外,行驶工况对测试车辆正构烷烃及藿烷类有机物排放有较大影响,非高速工况下排放因子是高速工况的1.69~2.42倍.     

Shifts in microbial community structure and diversity in a MBR combined with worm reactors treating synthetic wastewater

The chemical oxygen demand (COD) and NH₃-N removal, membrane fouling, sludge characteristics and microbial community structure in a membrane bioreactor (MBR) coupled with worm reactors (SSBWR) were evaluated for 210 days. The obtained results were compared to those from a conventional MBR (C-MBR) operated in parallel. The results indicated that the combined MBR (S-MBR) achieved higher COD and NH₃-N removal efficiency, slower increase in membrane fouling, better sludge settleability and higher activities of the related enzymes in the activated sludge. Denaturing gradient gel electrophoresis was used to analyze the microbial community structures in the C-MBR and the S-MBR. The microbial community structure in the S-MBR was more diverse than that in the C-MBR. Additionally, the slow-growing microbes such as Saprospiraceae, Actinomyces, Frankia, Clostridium, Comamonas, Pseudomonas, Dechloromonas and Flavobacterium were enriched in the S-MBR, further accounting for the sludge reduction, membrane fouling alleviation and wastewater treatment.     

北京市郊区夏季臭氧重污染特征及生成效率

为研究北京郊区夏季O₃(臭氧)重污染过程特征及O₃生成的光化学敏感性,基于2016年夏季在北京郊区开展的针对O₃及其相关污染物的强化观测试验(7月23日—8月31日,共计40 d),分析了观测期间O₃浓度[以φ(O₃)计]变化特征、O₃重污染过程主控因素与O₃敏感性化学特征.结果表明:观测期间φ(O₃)超标时有发生,最大小时φ(O₃)为151.1×10-9,其中有15 d的φ(O₃)最大8 h滑动平均值(O₃-max-8h)超过了GB 3095—2012《环境空气质量标准》二级标准限值,占观测天数的37.5%;不同O₃重污染过程成因有所不同,城市烟羽传输的污染物对郊区O₃重污染过程影响显著(观测期间臭氧重污染过程:过程1,7月27—29日;过程3,8月9—11日;过程4,8月16日;过程5,8月21—24日),区域光化学污染对郊区O₃重污染过程也有贡献(观测期间O₃重污染过程2:8月4—6日);结合后向气流轨迹进一步辅助说明了不同重污染过程中O₃的来源不同.研究还发现,观测区域存在反“周末效应”现象,说明观测区域周末受人为影响较为明显;基于观测数据计算的OPE(O₃生成效率)分析了O₃光化学敏感性表明,在有OPE值的22 d内NO_x控制区和VOCs控制区出现的概率(41%)相等,即观测区域O₃对NO_x和VOCs均敏感;此外还发现,在O₃重污染过程中光化学敏感性会随其反应进程发生改变,由NO_x控制区逐渐转变为VOCs控制区.