油污土壤堆制处理实验研究

堆制处理工艺是处理油污土壤的一种强化的生物处理工艺 .通过实验室实验 ,结果表明 :原油降解菌剂投加量 6× 10 12个 (CFU) kg(土壤 )、营养物投加量为使土壤中C∶N∶P =10 0∶2 5∶0 2 5、土壤含水量为饱和含水量的 30 %— 70 %、通风量 14 0mL s为适宜处理条件 ,此时 ,处理 2个月 ,油去除率在 5 0 %以上 .在油污土壤中添加的降解菌和营养物种类、数量完全相同时 ,堆制处理效率明显高于生物耕翻处理效率 ;在相同处理时间内 ,堆制处理时油去除率可比生物耕翻处理时提高 10 %以上 .在处理过程中 ,原油中大部分饱和烃和芳香烃组份被降解     

试论根据土壤生产潜力及土地利用强度评价土地利用合理性问题——以加拿大渥太华市郊为例

土地利用的合理性取决于土地利用强度是否与土壤生产潜力相适宜。土地利用强度等级与土壤生产潜力级别的一致性是一地区土地利用合理性的标志。依据作物系统编制的农业土地利用系统图较传统的土地覆盖图有更大的实用性。可利用该图与土壤生产潜力图迭加制成的农业资源分区图来分析1978—1987年渥太华市郊土地利用的合理性。结果指出,渥太华市郊土地利用方式基本上是合理的,变化趋势也是适宜的,但同时有不足之处,建议当地市政当局对某些不合理的土地利用方式做相应调整。     

Effects of management intensity on land snails in Swiss nutrient-poor pastures

The influence of management intensity on the richness, abundance and composition of land snail species was examined in 21 calcareous, nutrient-poor cattle pastures in the northwestern Jura mountains, Switzerland. Grazing intensity was positively correlated with the extent of fertilization of the pastures. Pastures without fertilizer application and with low grazing intensity harboured more snail species and more threatened snails than pastures with annual addition of manure or pastures with manure and nitrogen fertilizer and higher grazing intensity. Fewer snail individuals, open-land species and open-land individuals were found on pastures with high than on pastures with low management intensity. To preserve the threatened snail species in dry, nutrient-poor grasslands, a network of pastures should be managed without fertilization and grazing intensity should not exceed 180 LU ha⁻¹ d (product of livestock units per hectare and grazing days).     

环境规制视角下制造业绿色转型对能源强度的影响

基于Super-SBM及动态面板门槛模型,系统分析中国制造业行业绿色转型异质性结构,并从环境规制视角探析制造业绿色转型对于其行业能源强度的影响效应.研究发现：中国制造业绿色转型并没有实现（平均值为-0.1637）,且行业间差异显著,其转型过程呈现明显波动特征.有趣的是,中国制造业绿色转型对于能源强度的作用存在显著的环境规制异质门槛效应：较低程度的环境规制并不利于促使制造业绿色转型降低能源强度.而随着环境规制强度的提高并突破“临界点”,在一定程度上有效增强了制造业绿色转型的影响作用,进而推动能源强度的降低.     

Comparison of light absorption and oxidative potential of biodiesel/diesel and chemicals/diesel blends soot particles

Soot particles,mainly coming from fuel combustion,affect climate forcing through absorbing light and also result in adverse human health outcomes.Though biodiesel or additives blending with diesel was considered environmentally friendly,the understanding on absorbing and oxidative capacity of soot emitted from them are still unclear.The watersoluble organic carbon(WSOC) content,surface chemical structure,light absorption and oxidative potential(OP~(DTT)) of soot from biodiesel/diesel and chemicals/diesel blends were investigated utilizing total organic carbon analyzer,X-ray photoelectron spectrometer,ultraviolet–visible spectrophotometry and dithiothreitol(DTT) assay.The differences and correlations between soot properties were statistically analyzed.Chemicals/diesel blends soot owned significantly higher WSOC content,ratio of mass absorbing efficiency(MAE) in250 and 365 nm(E_2/E_3),OP~(DTT),and higher surface carbonyl content.Coconut biodiesel/diesel blends soot contained evidently higher aromatic carbon–oxygen single bond(Ar_C–O)content,and higher MAE365.The individual comparison of biodiesel/diesel blends showed20% coconut biodiesel blend owned the lowest WSOC,E_2/E_3 and OP~(DTT),while highest Ar_C–O and MAE365,representing strongest absorbing properties.Association analysis showed OP~(DTT)was significantly positively correlated with WSOC.Further,the evident negative correlation between MAE365 and OP~(DTT) was observed.Our results showed coconut biodiesel/diesel blends soot induced lower levels of oxidative potential,whereas absorption of light was higher,which have far reaching consequences on climate forcing.Therefore,it is important to evaluate the balance point between light-absorbing properties and oxidative potential,under the wide use of biodiesel.     

产业转移视角下京津冀石化产业碳排放因素分解与减排潜力分析

石化产业是我国经济的支柱性产业,但其大量的碳排放却给环境造成严重负担,因此提倡石化产业低碳发展能有效推动京津冀区域经济与环境绿色均衡发展.基于产业转移视角,分析2007-2016年京津冀区域石化产业碳排放量现状;运用对数平均迪式分解（Logarithmic Mean Divisia Index,LMDI）法分解并分析京津冀区域石化产业碳排放量影响因素在三地的作用效果,进而借助产业竞争力系数佐证碳排放量影响因素作用效果在区域间的关联性;最后通过合理调整京津冀区域石化产业能源结构,将未调整和调整后的能源结构类型分别设置为基准情境和低碳情境,利用SPSS拟合最优曲线来预测2017-2030年京津冀区域石化产业减排潜力.结果表明:①2007-2016年京津冀区域石化产业碳排放量增加386.79×104 t,碳排放强度由0.77 t/（104元）降至0.31 t/（104元）.②2007-2016年,能源强度因素使京津冀区域石化产业碳排放量减少13 663.77×104 t,其贡献率高达148.38%;人均GDP因素促使石化产业碳排放量增加12 327.10×104 t,贡献率达110.69%.③对于石化产业竞争力系数,北京市由0.03降至-0.02,为三地石化产业转出地;河北省由-0.14增至0.16,为转入地.④在低碳情境下,2020年、2030年京津冀区域石化产业碳排放量分别比基准情境减少502.84×104、528.95×104 t,碳排放强度分别降至0.19、0.17 t/（104元）,均达到发展目标的要求.研究显示,2007-2016年京津冀区域石化产业碳排放量逐年上升,承受巨大减排压力,该区域可以通过调整石化产业能源结构来挖掘碳减排潜力,推动石化产业绿色发展.      

纳米富勒烯对土壤酶活性和微生物群落的影响

采用室内暗培养试验,研究了纳米富勒烯对土壤呼吸强度、酶活性及微生物结构群落多样性的影响.结果表明,添加纳米富勒烯抑制了土壤呼吸强度(p0.05),较对照处理CO_2累积量降低了1.2%～11.3%.纳米富勒烯显著抑制了土壤脲酶活性(p0.05),与对照相比,降低了19.1%～33.7%,土壤脱氢酶活性整体上表现为随纳米富勒烯添加量增加先增加后降低的趋势.与之相反,添加不同剂量纳米富勒烯整体上提高了土壤碱性磷酸酶活性,但差异不明显(p0.05).利用磷脂脂肪酸(Phospholipid Fatty Acids, PLFAs)分析发现,添加纳米富勒烯(10～500 mg·kg~(-1))后土壤总PLFAs含量较对照降低了3.6%～27.3%,在低剂量(≤50 mg·kg~(-1))纳米富勒烯处理下革兰氏阳性细菌、革兰氏阴性细菌、真菌、细菌含量均有所提升,而当纳米富勒烯剂量达到500 mg·kg~(-1)时,土壤微生物数量在不同程度上受到抑制.土壤微生物生态学指数(Shannon、Simpson和Pielou指数)、聚类分析(Cluster analysis)、主成分分析(Principal component analysis)均显示纳米富勒烯对土壤中微生物群落多样性产生了负面影响.     

中国大气污染物重点行业减排分析——基于假设抽取法和价格传导影响系数

以中国各行业SO₂、NO_x和烟粉尘的排放数据为基础,利用假设抽取法和投入产出价格模型,计算了各行业的需求排放、产出排放和净转移量,模拟了不同情景下重点行业减排后对整体行业需求排放的影响,并计算了重点减排行业污染成本内部化造成的价格传导影响系数.结果显示,2014年电力热力燃气供应业、非金属矿制品业和金属矿采选及冶炼延压业这3个重点行业大气污染物净转出量最大;在这3个行业同时减排15%的情景下,SO₂、NO_x和烟粉尘这3种污染物的减排量可以分别达到中国“十三五”节能减排目标的62.12%、72.65%和67.11%;电力热力燃气供应业作为大气污染物减排影响最大的行业,如果将其污染成本内部化,其生产产品的价格会对其余行业造成不同程度的影响,其中,对水生产和供应业、金属制品业产品、金属矿采选及冶炼延压业和非金属矿制品业的价格影响较大,总价格传导影响系数分别为0.272、0.151、0.148和0.131.因此,建立合理的大气污染物减排成本分摊机制一方面可以补贴基础转出行业的治理成本,另一方面可以通过价格机制激励其他行业提高技术水平,减少对电力等基础工业产品的需求.     

2020和2030年碳强度目标约束下中国碳排放权的省区分解

建立了碳排放权省区分配模型,在中国2020年和2030年碳强度目标约束下,分阶段进行碳排放权的省区分配.结果表明：2016~2020年,中国各地区碳排放权分配相差悬殊.碳排放权配额最多的5个省份分别是经济发展水平和历史碳排放量均处于全国前列的广东、江苏、内蒙古、山东和山西地区,配额最少的5个省份依次是安徽、吉林、甘肃、宁夏和贵州.同时,各地区面临不同的减排压力.山西、山东、辽宁和陕西在2016年初始节点的碳空间严重不足,需要承担较大的减排压力.而广东、江苏和上海等地减排压力相对乐观.2021~2030年,各省份的碳排放权分配与第1阶段分配结果大体一致,所有省份在2030年碳排放空间均有盈余.但是部分地区（如新疆、陕西、吉林、青海、甘肃、宁夏和贵州等）截至2030年碳排放剩余空间相对有限,按期完成减排目标仍然存在较大压力.考虑到各省区面临不同的减排任务和压力,制定差异化的减排政策并在政策上给予适当的扶持是保证中国减排目标顺利达成的关键.     

Source apportionment of PM2.5 light extinction in an urban atmosphere in China

Haze in China is primarily caused by high pollution of atmospheric fine particulates (PM_2.5). However, the detailed source structures of PM_2.5 light extinction have not been well established, especially for the roles of various organic aerosols, which makes haze management lack specified targets. This study obtained the mass concentrations of the chemical compositions and the light extinction coefficients of fine particles in the winter in Dongguan, Guangdong Province, using high time resolution aerosol observation instruments. We combined the positive matrix factor (PMF) analysis model of organic aerosols and the multiple linear regression method to establish a quantitative relationship model between the main chemical components, in particular the different sources of organic aerosols and the extinction coefficients of fine particles with a high goodness of fit (R² = 0.953). The results show that the contribution rates of ammonium sulphate, ammonium nitrate, biomass burning organic aerosol (BBOA), secondary organic aerosol (SOA) and black carbon (BC) were 48.1%, 20.7%, 15.0%, 10.6%, and 5.6%, respectively. It can be seen that the contribution of the secondary aerosols is much higher than that of the primary aerosols (79.4% versus 20.6%) and are a major factor in the visibility decline. BBOA is found to have a high visibility destroying potential, with a high mass extinction coefficient, and was the largest contributor during some high pollution periods. A more detailed analysis indicates that the contribution of the enhanced absorption caused by BC mixing state was approximately 37.7% of the total particle absorption and should not be neglected.