影响中国碳排放绩效的区域特征研究——基于熵值法的聚类分析

论文选择影响碳排放绩效的主要指标,基于熵值法确定各指标权重,采用系统聚类分析的方法,以中国省域为研究对象,将全国分为7类区域。分析结果显示:区域分工特征是造成目前中国省级碳排放绩效区域差异的主要影响因素,其次是高碳产业工艺特征和能源结构特征,而经济结构对解释省级碳排放绩效区域差异的贡献有限。北方地区高碳产品生产份额高且工艺水平相对低,能源消费中极高的煤炭比例加重了负面影响,造成其二氧化碳排放绩效水平低,特别是华北地区;近年来东南沿海地区高碳产业也逐步增加,但由于其工艺先进,在一定程度上抵消了高碳产品份额高的负面影响;中西部地区目前高碳产品份额虽然低于东部地区,但工艺水平也低,造成了其低水平的二氧化碳排放绩效。由于各省历史发展、自然资源禀赋、区域分工角色等因素不同,且遵从经济宏观发展客观规律和经济区位理论,除了少数发达地区之外,中国其他区域短时间内很难改变其经济和能源结构,低碳政策制定的重点应放在提高高碳产业工艺水平方面。     

不同土地利用方式对土壤有机碳及其组分影响研究

测定了5种土地利用方式下（人工草地、围封样地、一年耕地、弃耕地、自由放牧样地）土壤有机碳、土壤微生物生物量碳、易氧化态碳和轻组有机碳组分含量特征,比较分析土地利用变化对典型草原土壤起源下土壤有机碳组分的变化。结果表明,1）人工草地土壤有机碳含量为（14．98±3．47）g·kg-1,围封样地的为（12．41±6．40）g·kg-1,一年耕地的为（12．20±5．59）g·kg-1,弃耕样地的为（10．39±5．08）g·kg-1,自由放牧样地的为（9．45±3．19）g·kg-1。人工草地土壤有机碳含量明显高于其他样地,围封样地和一年耕地的含量相似,自由放牧样地的含量最小。2）土壤微生物生物量碳、易氧化态碳和轻组有机碳的含量在不同土地利用方式下的变化趋势与土壤有机碳含量的变化趋势基本一致。土壤有机碳及其组分含量在土壤剖面上,随着土层深度的增加而逐渐降低。3）土壤微生物生物量碳、易氧化态碳和轻组有机碳的平均分配比率在不同类型样地范围分别为0．24％～0．66％、0．002％～0．019％和0．05％-0．25％,显示出各组分对土壤环境变化的敏感度不同,其中土壤微生物生物量碳更能反映土壤有机碳的早期变化,可以作为表征土壤有机碳变化和土壤肥力的敏感指标。     

湘东丘陵区不同类型土壤活性碳组分的剖面分布与差异

土壤活性碳组分是土壤健康变化的指示器。选取湘东丘陵区3种不同母质发育的林地土壤（紫色土、板岩红壤和花岗岩红壤）,研究土壤颗粒有机碳（POC）和溶解性有机碳（DOC）的剖面分布规律,并分析POC、DOC与土壤有机碳（SOC）、土壤质地的关系。结果表明：土壤剖面POC、DOC质量分数分别介于0．29～3．87g·kg。和15．01～311．34mg·kg^-1,随剖面加深而大幅降低。土壤剖面POC储量介于8．61一16．54t·hm^-2,以花岗岩红壤最高,板岩红壤最低;而DOC储量介于380．76～1184．83kg·hm^-2,以板岩红壤最高,紫色土最低。POC占SOC的比例（POC／SOC）介于6．42％～46．25％,其中紫色土和板岩红壤POC／SOC随土层加深而降低,而花岗岩红壤则完全相反。DOC占SOC的比例（DOC／SOC）介于O．35％～3．02％,其中紫色土DOC／SOC随土层加深而降低,板岩红壤与花岗岩红壤DOC／SOC则以B层最高。由此可见,不同母质发育的土壤类型,碳库质量和脆弱程度不一。从维持地力和环境健康的角度,应对不同母质发育的土壤制定不同的开发利用方案。     

Carbon sequestration of black locust forests in the Yellow River Delta region,China

The Yellow River Delta region in China is a land area of 1,200,000 ha with rich natural resources. Adverse environmental conditions, such as low rainfall and high salinity, promote the dominance of black locust trees for afforestation. With the increase of CO₂ in the atmosphere, this forest and others throughout the world have become valued for their ability to sequester and store carbon. Forests store carbon in aboveground biomass (i.e. trees), belowground biomass (i.e. roots), soils and standing litter crop (i.e. forest floor and coarse woody debris). There are well-developed methods to sample forest ecosystems, including tree inventories that are used to quantify carbon in aboveground tree biomass. Such inventories are used to estimate the types of roundwood products removed from the forest during harvesting. Based on standard plot inventories and stem analyses, carbon sequestration estimates of trees were 222.41 t ha^?1 for the Yellow River Delta region accounted for 67.12% of the whole forest. Similarly, carbon storage by herbaceous matter and soil was 0.50 and 50.34 t ha^?1, respectively. The results suggest that carbon sequestration in the forest ecosystem was performed by most of the forest, which plays an increasingly important role in sequestering carbon as the stand grows.     

Analysis of household energy consumption and related CO2 emissions in the disregarded villages of Lijiang City,China

Energy is one of the most important elements required for poverty alleviation and socioeconomic development, and it has a particularly strong impact on households in rural areas. An extensive survey on household energy consumption patterns that interrelates socioeconomic and demographic factors was conducted in the disregarded villages of Lijiang City by using the stratified random sampling technique for 120 households. This study focuses on household energy consumption and the related carbon dioxide (CO₂) emissions in the study area. Firewood, biogas, and electricity were identified as the main energy sources of the rural households. This study demonstrates that 100% of the households use firewood, 52% use biogas, and 95% use electricity as fuel types. On average, each household consumed 1752 kg of firewood, 280 m³ of biogas, and 392 kWh of electricity annually. All households generated an annual average amount of CO₂ emissions of 3851 kg, of which 85.08% come from firewood, 7.66% from biogas, and 7.26% from electricity. Family size, income, and educational level were found to be the major factors that influence CO₂ emissions. The results of this study may be useful in explaining the energy consumption characteristics in the rural areas of Lijiang City and are expected to be useful in policy formulation for energy consumption and environmental protection.     

Benefits and challenges of streamlined life-cycle assessment for SMEs – findings from case studies on climate change impacts

ABSTRACT

Small and medium-sized enterprises (SMEs) have a substantial role in the economy and job creation, but they are a remarkable source of environmental impacts. SMEs often lack skills and resources to compile environmental impact assessments; Streamlined Life Cycle Analysis (LCA) can provide efficient tools for this. An application of streamlined LCA relying heavily on database data, LCA clinic, was developed and tested on 23 SMEs in Finland. The climate change impacts were mainly caused by the production of raw materials, electricity and heating, whereas packaging and transportation were not influential. A significant amount of emissions were indirect, i.e. caused by production of raw materials. Thus, decreasing emissions from raw material production or selecting raw materials with a smaller environmental load could be a more efficient way to decrease emissions than reducing direct emissions such as those from electricity use. Lack of data in the LCA-databases was considered a challenge. An access to regionally customised datasets is important for the implementation of LCA clinics. Company feedback indicated that LCA clinics were useful in climate-friendly product design and increased environmental awareness, but did not lead to immediate actions to reduce emissions because of inadequate investment capabilities. Company managers had limited possibilities to use the results in marketing as comparative assessments would require a full LCA. Many company managers were willing to pay a fee sufficient to cover the costs of an LCA clinic, but some considered that the costs should be covered by external funding sources.     

活性氧参与多壁碳纳米管诱导的RAW264.7细胞毒性

碳纳米管以其独特的结构和性能,在生物医药和电子等领域广泛应用,而其生态安全性也成为科学界关注的焦点。为探究多壁碳纳米管(MWCNTs)诱导的细胞毒性机制,将小鼠肺泡巨噬细胞(RAW264.7)暴露于6个浓度梯度(0、25、50、100、150和200μg.mL-1)的MWCNTs中,应用噻唑蓝(MTT)法测定细胞存活率,用2’,7’-二氯荧光素二乙酸(DCFH-DA)荧光染色法测定细胞内活性氧的生产量,用流式细胞方法测定MWCNTs对细胞周期的影响。同时使用抗氧化剂氮乙酰半胱氨酸(NAC)验证MWCNTs诱导的细胞氧化损伤的作用机理。结果显示,MWCNTs对RAW264.7的细胞毒性呈剂量依赖性。暴露于不同浓度的MWCNTs(25、50、100、150和200μg.mL-1)下24h后,细胞活力分别为对照的74%、62%、59%、51%和45%。MWCNTs对RAW264.7的周期阻滞作用主要发生在G0/G1期。200μg.mL-1的MWCNTs处理3h后活性氧较对照组上升6.6倍。NAC对MWCNTs细胞毒作用有明显的抑制作用,且NAC能减弱MWCNTs对RAW264.7的细胞周期阻滞作用。研究表明,活性氧能够介导MWCNTs对小鼠巨噬细胞RAW264.7的损伤,并且MWCNTS通过细胞周期G0/G1期的阻滞,诱导细胞凋亡。     

灰色关联分析在中国农村家庭碳排放影响因素分析中的应用

农村家庭碳排放影响因素分析的研究对于合理发展农村经济,有效制定农村减排政策具有重要的指导意义.根据IPCC参考方法、生活碳排放研究方法和投入产出基本方法,计算了1995—2010年中国大陆31省区农村人均家庭碳排放量.通过因子分析方法,剔除农村人均家庭碳排放量不显著相关的影响因素,利用灰色关联分析方法对影响农村人均家庭碳排放量的显著相关影响因素进行评价,得出不同驱动因子对碳排放的关联度.结果表明,(1)从时间上看,1995至2010年,农村家庭碳排放呈现出逐渐上升趋势,1995年农村的人均家庭排放量为C 0.170 t?人-1,增加到2010年的0.504 t?人-1,同比增长196.90%.(2)从空间看,东部地区的农村家庭碳排放远远高于中部、东北和西部地区的农村家庭碳排放.(3)从地区差异看,位于东部地区的上海市农村人均家庭碳排放远远高于位于西部地区的内蒙古,1995年上海市农村人均家庭碳排放为C 0.454 t?人-1,而内蒙古为0.145 t?人-1;2010年上海市农村人均家庭碳排放为C 1.351 t?人-1,而内蒙古为0.498 t?人-1.(4)利用灰色关联分析,经济水平指标中的农林牧渔总产值与农村人均家庭碳排放的关联度为最大,为0.9824,因此对农村家庭碳排放的影响最大,而人口指标中的农村人口比例与农村人均家庭碳排放的关联度最小,为0.5702,因此对农村家庭碳排放的影响最小.     

施肥对不同肥力水平春玉米农田土壤有机碳及其组分的影响

选取辽河灌区不同肥力水平春玉米(Zea mays ssp. mays L.)农田土壤为研究对象,通过连续3年田间定位试验研究施肥对不同层次土壤有机碳组分(TOC、ASOC、LFOC、DOC和MBC)的影响,分析土壤有机碳组分的产量效应.结果表明,连续种植春玉米能够显著增加低产田土壤w(TOC),增加各产田土壤w(ASOC)和w(MBC),降低各产田土壤w(LFOC),土壤w(DOC)变化较小.施肥使土壤w(TOC)增加了-13.41%~7.54%,平均增加了0.16%;使高产田表层(0~10 cm)土壤w(TOC)显著增加,低产田犁底层(20~40 cm)土壤w(TOC)显著降低.施肥使土壤w(ASOC)增加了-13.98%~72.22%,平均增加了15.82%;使低产田犁底层和高产田耕层(10~20 cm)土壤w(ASOC)显著增加,中产田耕层土壤w(ASOC)显著降低.施肥使土壤w(LFOC)增加了-42.60%~168.57%,平均增加了48.83%;使中产田表层和犁底层、高产田表层和耕层土壤w(LFOC)显著增加,高产田犁底层土壤 w(LFOC)显著降低.施肥使土壤 w(DOC)增加了-42.74%~51.29%,平均增加了9.36%;使中产田耕层和犁底层、高产田表层和耕层土壤 w(DOC)显著增加,低产田耕层土壤 w(DOC)显著降低.施肥使土壤 w(MBC)增加了-1.16%~19.97%,平均增加了9.32%,除中产田耕层土壤之外其他土层土壤w(MBC)均有所增加.施肥主要提高土壤ASOC和LFOC含量,促进土壤DOC的变化.施肥显著增加低产田土壤有机碳组分含量,促进中产田土壤有机碳组分变化,增加高产田土壤有机碳耗损.施肥主要增加表层(0~10 cm)土壤有机碳组分含量,耗损犁底层(20~40 cm)土壤有机碳,调解耕层(10~20 cm)土壤活性有机碳组分.施肥对微生物可利用性及结构不同的活性有机碳组分影响不同;高、中、低产田因其土壤理化性状及有机碳本底值不同,对施肥的响应存在差异.施肥总体增加土壤活性有机碳各组分含量,同时通过改变微生物及玉米根系活力影响活性有机碳含量及组分.土壤中有机碳组分与产量的回归方程为(产量)=-4665.61-0.008×w(SOC)-0.421×w (ASOC)-0.777×w (LFOC)+5.370×w (DOC)+33.408×w (MBC).ASOC和MBC具有土壤肥力指示作用,施肥主要通过调控土壤ASOC提高玉米产量.     

模拟氮沉降对木荷人工幼林地土壤氮素、碳素和微生物量垂直分布的影响

以NH4NO3作为氮源,对广州东北郊木荷（Schima superba）人工幼林地进行模拟氮沉降处理,共设置3个氮沉降水平,分别为N0（N：0 g·m-2·a-1）、N5（N：5 g·m-2·a-1）以及N10（N：10 g·m-2·a-1）,每月进行喷施。在连续施氮22个月（当月当次施氮5天后）对土壤氮素（硝氮、氨氮、总氮）、碳素（总碳）以及微生物量（脂磷）在0~60 cm土层中的垂直分布进行研究。结果显示：在3个氮沉降水平下,随着土层加深,pH呈现出下降的趋势,氮沉降存在加剧土壤酸化的风险;在N0、N5、N10水平下,土壤全氮和总碳的垂直分布趋势大体一致,随着土层加深,其含量下降,但在深层土壤（40~60 cm）中,施氮与对照比较,总碳呈现一定的增加趋势;除40~50 cm土层,N5、N10水平下的硝态氮含量在各个深度土壤中都表现为比对照组要高,氮沉降导致土壤一定程度上硝态氮的积累;在浅层土壤（0~20 cm）中,铵态氮水平较低并且其含量明显低于对照组,而在较深的土层中铵态氮有较多的积累,说明存在污染地下水的风险;N5和N10水平下,无机氮比例（无机氮含量与总氮含量之比）在各个深度土壤中总体高于N0水平;用脂磷含量表征土壤微生物含量,结果表明外加氮源对微生物含量有显著性影响,在N5、N10水平下,微生物含量在30~40 cm土层中出现峰值。