长江经济带二氧化碳净排放时空演变特征及脱钩效应

研究区域CO₂净排放,对“碳中和”战略的实现具有重要意义.以长江经济带为例,在揭示1999～2018年长江经济带CO₂净排放时空演变特征的基础上,分析长江经济带不同区域社会发展与CO₂净排放的脱钩效应,以期为差异化区域产业发展和碳减排路径提供支持.结果表明：(1)1999～2012年长江经济带CO₂排放量上升了2 244.23×10⁶ t,碳汇量在研究时间段增长了148.07×10⁶ t;(2)长江经济带呈现“变绿”趋势,2013～2018年中高碳汇量区域(NPP>800 g·m^-2,以C计)面积较1999～2012年上升了23.25%;(3)长江经济带下游经济社会发展与CO₂净排放脱钩效应较强,上、中和下游强脱钩城市占长江经济带强脱钩城市的比例分别为12%、34%和54%.     

TiO2/Ti及其改性处理聚乙二醇模拟废水

采用溶胶-凝胶法制备TiO2/Ti负载体系,并以聚乙二醇2000（PEG-2000）为模拟废水对其光催化性能进行研究。实验表明,TiO2/Ti的最佳负载条件为镀膜层数8层、pH值为3、焙烧温度700℃、焙烧时间2 h,掺杂Fe3＋、Ag＋、La3＋、Pt4＋4种金属离子均可有效提高TiO2/Ti对PEG-2000模拟废水的处理效果,在Ag＋掺杂量为0.3%、焙烧温度800℃时,2.5h反应后的COD去除率达到了79.5%。XRD分析表明,金属离子的加入抑制了TiO2由锐钛矿相向金红石相转化。GC-MS分析表明,PEG-2000的光催化是大分子分解为小分子然后被矿化的过程。     

How will Ocean Acidification Affect Baltic Sea Ecosystems? An Assessment of Plausible Impacts on Key Functional Groups

Increasing partial pressure of atmospheric CO₂ is causing ocean pH to fall—a process known as ‘ocean acidification’. Scenario modeling suggests that ocean acidification in the Baltic Sea may cause a ≤3 times increase in acidity (reduction of 0.2–0.4 pH units) by the year 2100. The responses of most Baltic Sea organisms to ocean acidification are poorly understood. Available data suggest that most species and ecologically important groups in the Baltic Sea food web (phytoplankton, zooplankton, macrozoobenthos, cod and sprat) will be robust to the expected changes in pH. These conclusions come from (mostly) single-species and single-factor studies. Determining the emergent effects of ocean acidification on the ecosystem from such studies is problematic, yet very few studies have used multiple stressors and/or multiple trophic levels. There is an urgent need for more data from Baltic Sea populations, particularly from environmentally diverse regions and from controlled mesocosm experiments. In the absence of such information it is difficult to envision the likely effects of future ocean acidification on Baltic Sea species and ecosystems.     

Synthesis of TiO2 nanoparticles in different thermal conditions and modeling its photocatalytic activity with artificial neural network

Titanium dioxide (TiO₂) nanoparticles were prepared by sol gel route. The preparation parameters were optimized in the removal of 4-nitrophenol (4-NP). All catalysts were analyzed by X-ray diffraction (XRD) and scanning electron microscopy (SEM). An artificial neural network model (ANN) was developed to predict the photocatalytic removal of 4-NP in the presence of TiO₂ nanoparticles prepared under desired conditions. The comparison between the predicted results by designed ANN model and the experimental data proved that modeling of the removal process of 4-NP using artificial neural network was a precise method to predict the extent of 4-NP removal under different conditions.     

二氧化钛-水体系氧同位素分馏系数的实验研究

对TiO2的两种常见同质多像变体金红石和锐钛矿与水之间的氧同位素分馈系数的实验研究进行了系统的总结和评述。水热品化法（575～775℃）和水热氧化法（300～700℃）以及低温水解（22～50℃）获得的实验金红石－水体系分馏系数与增量方法理论计算结果相一致。低温水对法获得的锐钛矿－水体系分馏可能是一种不平衡分馏，其分馏系数的大小决定于锐钛矿的形成机制。同时，低温水解实验还揭示．在低温矿物形成和同质多像转变过程中可能存在氧同位素继承性，这对解释低温环境氧同位素数据具有重要的地球化学意义。     

Changes in TcpA gene frequency explain 2,4,6-trichlorophenol degradation in mesocosms

Soils are often polluted by chlorophenols in timber production areas in the northern hemisphere. The tcpA gene encodes the first step of 2,4,6-trichlorophenol (246-TCP) degradation. We tested tcpA gene frequency in three natural pristine soils with different 246-TCP degradation capacity. Gene tcpA frequency increased more in spiked than non-spiked 10-L pails containing coniferous humus soil with high degradation capacity, in contrast to soils where degradation was slower. As the soil in each mesocosm originated from a spatially separate field plot, changes in tcpA gene frequency affected 246-TCP degradation over a range of soil origins. This indicates that the abundance of and changes in tcpA gene frequency could be utilized in estimating the efficacy of natural attenuation and biostimulation treatments in controlled conditions.     

过氧化氢存在下HCFC－22光解特性

模拟大气条件研究了ＨＣＦＣ－２２＋Ｈ２Ｏ２在有氧或无氧存在下用低压汞灯进行辐照，在２０ｍ的长光程池中用富里叶红外光仪测量其化学产物，结果表明在没有氧情况下产物为ＣＯＦ２、ＣＯ２、ＨＦ和ＨＣｌ；有氧存在时产物为ＣＯ２、Ｈ２Ｏ、ＨＦ和ＨＣｌ．从这些产物推出其可能的光解机理．     

鄂尔多斯盆地马家沟组马五_1亚段地层水特征及对CO_2地质封存的意义

CO_2地质封存技术是实现碳减排的有效措施,对鄂尔多斯盆地马家沟组马五_1亚段地层水特征进行研究,是下一步实施工程化CO_2封存的首要前提。本文依据对深部钻井取样的直观观察与实验测试,采用单项指标分类评价和多项指标综合评价的方法深入分析了马家沟组马五_1亚段地层水的物理性质、化学性质、地层水类型和水化学特征参数。结果表明:马家沟组马五_1亚段地层水密度较大、矿化度极高,属于卤水,含量最多的离子是Cl~-,其次是Ca~(2+),地层水是CaCl_2型。钠氯系数、氯镁系数、脱硫系数和镁钙系数的分析表明马五_1亚段地层水封闭性极好,处于较强的还原环境。综合分析认为马家沟组马五_1亚段地层水具备实施CO_2封存的良好条件,非常适宜进行CO_2封存。     

华东森林及高山背景区域SO2、NOx、CO本底特征

国家大气背景监测福建武夷山站是中国华东区域背景站点之一,可代表华东森林及高山区域背景状况。为了解该区域的大气背景状况,评估区域污染现状以及污染物输送在区域污染中的作用,选取福建武夷山背景站2011年3月至2012年2月主要气体污染物（SO₂、NO_x、CO）为期1年的监测数据,研究各污染物在不同时间尺度的浓度变化特征和相关关系,以及与气象因子的相关关系,并利用后向轨迹模式探讨区域输送对华东森林及高山背景区域各气体污染物质量浓度的影响。结果表明,武夷山背景点监测期间SO₂、NO_x、CO的平均质量浓度分别为3.9、5.1、409.8 μg/m³,且具有明显的季节变化特征,春、冬季明显高于夏、秋季;三者日变化幅度均很小,呈现出单谷型分布型态,说明武夷山背景点受人为活动的影响很小,主要受气象条件影响;相关性分析结果显示,SO₂与NO_x浓度相关性较好,与湿度有较好的负相关,与风速在冬季具有一定的正相关,NO_x与CO浓度在秋季和冬季的相关性较好,且二者与温度的负相关性较好。后向轨迹分析结果表明,SO₂全年最大浓度峰值主要来自北方采暖季燃煤排放的远距离输送影响,NO_x、CO全年最大值则源于生物质燃烧的远距离输送影响。     

电厂低负荷下V-W/TiO2基NH3-SCR催化剂的低温改性

在不改变工业催化剂制备工艺的基础上,通过改性提高工业V-W/TiO2催化剂的低温活性。实验采用浸渍法,通过添加磷酸以及氧化铈来改性工业V-W/TiO2催化剂,探讨了新型低温SCR催化剂的脱硝活性。并通过比表面积测试（BET）,X射线衍射实验（XRD）,吡啶红外实验,程序升温还原（H2-TPR）等技术对催化剂理化性能进行表征。研究结果表明,1%磷酸添加量使催化剂表面的B酸以及弱酸含量大量增加,使催化剂向低温端降低了30 ℃;同时,在添加1%磷酸的基础上,添加不同含量氧化铈,提高催化剂的氧化还原性,发现添加8%氧化铈,使催化剂氧化还原性能显著增强,转化温度向低温再次降低了40 ℃。通过添加磷酸和氧化铈,使V-W/TiO2催化剂80%转化温度从280 ℃降至220 ℃,同时具备了高抗硫抗水性。