牛粪堆肥系统环境因子对抗性基因的影响

本研究利用实时定量PCR技术检测牛粪60 d好氧堆肥过程中典型四环素类抗性基因(tet Q、tet W、tet M、tet G、tet A和tet X)和大环内酯类抗性基因(erm35、erm36、erm B、erm F、erm T和erm X)的数量变化规律,系统研究了温度、含水率、挥发性有机质(VS)含量、碳氮比(C/N)、pH值、氧化还原电位(ORP)等堆肥系统环境因子和细菌数量(TCB)对这两类典型抗生素抗性基因的影响.结果表明,堆肥升温阶段牛粪中tet Q、tet W、tet G和tet X数量分别增加1. 7、0. 3、84. 8和4. 5倍,而tet M丰度降低了83. 1%;堆肥腐熟阶段牛粪中tet G和tet X数量分别增加23. 8和11. 5倍,而tet W、tet Q和tet M数量均降低90%.整个牛粪堆肥过程中erm35、erm36、erm B、erm F、erm T和erm X丰度分别增加2. 1、430. 4、0. 6、11. 5、2. 1和49. 1倍. RDA分析表明,牛粪堆肥过程中对四环素与大环内酯类抗性基因数量影响较大的3个环境因子分别为:ORP(54. 8%)、温度(34%)和VS(11. 3%),其中ORP与erm X和erm B、温度与tet Q和erm F以及VS与tet W数量均呈明显地正相关.     

多模式集成方法在安徽地区PM2.5预报中的应用研究

分别采用算术平均、权重平均、多元线性回归和神经网络的集成方法,对3种空气质量模式在安徽地区2017年2月-2018年2月PM_2.5预报结果进行集成释用.结果表明：各模式和订正产品的预报值与实况值之间均能达到显著相关,相较于WRF-Chem,多元线性回归的均方根误差（RMSE）下降了21.7%,归一化平均偏差（NMB）下降了6%,且在16个地市中NMB均下降至-25%~25%之间;从不同时次的预报效果来看,在3个代表性城市（淮北、合肥和芜湖）,多元线性回归均能大幅度降低RMSE和NMB,但从时间和空间效果来看,其对于提升预报值与实况值之间的相关性方面,略差于权重平均的集成方法;多元线性回归方法对于重污染天气PM_2.5预报评分（TS）最高,为0.46.该方法能较为有效地提升不同模式的预报效果,可为重污染天气预报预警提供参考.     

磁性有序介孔碳的制备及其对水中双酚A的吸附

采用水热法成功制备了磁性有序介孔碳（Fe-OMC）,用于吸附水中双酚A （BPA）.采用高倍投射电镜、X射线衍射仪、傅里叶红外光谱仪、比表面积分析仪和振动样品磁强计对Fe-OMC进行表征.结果表明,该吸附剂具备较大的比表面积、独特的有序介孔孔道结构、丰富的含氧官能团以及较强的超顺磁性.Fe-OMC能够高效地吸附去除水中的BPA,平衡吸附量可达72.62mg/g,经过外加磁场分离回收后依旧具备较好的吸附性能.随着BPA浓度从1mg/L提高到20mg/L,其平衡吸附量由8.33mg/g增至91.78mg/g.随着pH值的升高呈现出先降低后升高再降低的趋势,最高吸附量出现在pH=8（75.34mg/g）.Fe-OMC对BPA的吸附过程可用准二级吸附动力学模型和Langmuir吸附等温模型进行描述.计算的热力学参数表明,Fe-OMC对BPA的吸附过程是自发进行的放热过程.     

全球化与粮食安全新格局

当今世界正面临“百年未有之大变局”,中国与全球的粮食安全面临重大挑战。为了系统认知全球化与粮食安全的新格局、新问题和新路径,邀请了十位来自不同专业领域的知名专家,就耕地增产潜力、农业水土资源与粮食生产、食物浪费、国际农产品贸易、重点农产品保供稳供、全球农业食物系统、双循环与企业行动、全球粮食生产与消费、国际粮安治理、粮食安全研究前沿等领域进行了一对一的交流访谈。访谈结果表明：全球农业食物系统进入复合型高风险时代,国际粮安治理面临资源、约束力、行动力等方面的挑战,凸显国家粮食安全尤其是进口依赖型农产品的保供稳供压力,需要加强国内农业供给侧改革与需求侧管理。全球化发生新变化,考验中国深化农业对外开放、参与全球粮安治理、实现国家粮食安全的能力水平。面对复杂的国际国内形势,国家粮食安全治理需要坚持系统思维、统筹国内国际、瞄准全产业链、强调风险管控、处理好政府与市场关系,进一步深入研究食物系统和粮食安全、生态系统和粮食安全、高质量发展与粮食安全、农业对外开放与粮食安全、双循环新格局与粮食安全等方面的具体方式路径,为新时期建立健全“以我为主、立足国内、确保产能、适度进口、科技支撑”的国家粮食安全战略提供科学参考。     

东南亚地区中国海外耕地投资项目的空间分布及影响因素分析

为探究中国在东南亚地区的海外耕地投资活动规律,利用文献资料法、空间分析法和灰色关联分析法,从空间分布和影响因素两方面进行分析。结果表明：（1）中国海外耕地投资项目多位于中南半岛,且有沿边分布特点;（2）中国在东南亚海外耕地投资意向项目、合同项目的空间分布相似性较高,而生产项目与前两者存在差异;（3）中国海外耕地投资受地缘经济、地缘文化、资源基础和地缘政治的影响且受影响程度依次减弱,其中年均进出口总值、年均中国对外直接投资存量等指标对中国企业的投资选择具有显著影响。东南亚地区作为当前中国海外耕地投资的重要区域,强化同东南亚国家间的经济、文化交流,对中国企业顺利开展海外耕地投资活动具有重要促进作用。     

国外大尺度生态廊道保护进展与秦岭国家公园建设

大型山脉在其走向上往往是生物扩散和分布的天然廊道。然而,由于人类干扰引起的生境碎片化,山地廊道的连通性已大为降低。20世纪以来,人们普遍意识到当前或过去的自然保护措施往往规模太小,无法维持许多物种的长期生存及其所依赖的生态过程。因而,山地廊道的连通性保护日益受到关注,大尺度生态廊道被认为是长远意义上保护气候变化下生物多样性的最优策略。综述连通性保护和生态廊道的概念、发展历程及国外大尺度生态廊道建设实践的经验,并从连通性保护的角度对秦岭国家公园建设提出一些建议,强调大尺度的连通性保护和生态廊道建设对于国家公园自然生态系统的长远保护具有重要意义。     

深圳秋季大气有机气溶胶来源与挥发性研究

使用热扩散管与长飞行时间气溶胶质谱联用系统对2020年深圳市秋季亚微米级气溶胶进行在线测量,获取和分析了气溶胶的化学组成及挥发性特征,并利用正矩阵因子分析法（PMF）对有机气溶胶进行了来源解析.结果显示：观测期间,气溶胶平均质量浓度为（28.3±11.1）μg/m³（9.5~76.8μg/m³）,其中,有机物占比最高,为57.9%,其次为硫酸盐（24.7%）.PMF对有机气溶胶解析结果得到四类源,分别为烃类有机气溶胶（HOA）、餐饮源有关的有机气溶胶（COA）、低氧化性的氧化有机气溶胶（LO-OOA）和高氧化性的氧化有机气溶胶（MO-OOA）.HOA、COA、LO-OOA和MO-OOA平均分别占到总有机物的9.1%、27.2%、31.8%和31.9%.进一步采用NO⁺/NO₂⁺比值法和PMF方法估算有机硝酸酯（ON）浓度,两种方法估算结果相关性良好,ON的平均浓度为0.17~0.25μg/m³,占总有机气溶胶质量的1.5%~9.7%,说明其对深圳大气气溶胶贡献显著.ON与各有机气溶胶因子的相关性比对发现,其与LO-OOA相关性最高（R=0.80）,说明其可能来源于新鲜的二次生成反应.挥发性研究结果得出,深圳市气溶胶主要化学组分挥发性顺序为氯盐≈无机硝酸盐 > 铵盐 > 有机物 > 有机硝酸酯 > 硫酸盐,对于有机气溶胶因子,其挥发性排序为LO-OOA > HOA > COA > MO-OOA,除了LO-OOA,其余因子挥发性与其氧化态排序一致,而LO-OOA从50~70℃组分下降最多,说明其所含组分挥发性差异最为明显.     

Comprehensive and high-resolution emission inventory of atmospheric pollutants for the northernmost cities agglomeration of Harbin-Changchun, China: Implications for local atmospheric environment management

Using a bottom-up estimation method, a comprehensive, high-resolution emission inventory of gaseous and particulate atmospheric pollutants for multiple anthropogenic sectors with typical local sources has been developed for the Harbin-Changchun city agglomeration (HCA). The annual emissions for CO, NOx, SO₂, NH₃, VOC_S, PM_2.5, PM₁₀, BC and OC during 2017 in the HCA were estimated to be 5.82 Tg, 0.70 Tg, 0.34 Tg, 0.75 Tg, 0.81Tg, 0.67 Tg, 1.59 Tg, 0.12 Tg and 0.26 Tg, respectively. For PM₁₀ and SO₂, the emissions from industry processes were the dominant contributors representing 54.7% and 49.5%, respectively, of the total emissions, while 95.3% and 44.5% of the total NH₃ and NOx emissions, respectively, were from or associated with agricultural activities and transportation. Spatiotemporal distributions showed that most emissions (except NH₃) occurred in November to March and were concentrated in the central cities of Changchun and Harbin and the surrounding cities. Open burning of straw made an important contribution to PM_2.5 in the central regions of the northeastern plain during autumn and spring, while domestic coal combustion for heating purposes was significant with respect to SO₂ and PM_2.5 emissions during autumn and winter. Furthermore, based on Principal Component Analysis and Multivariable Linear Regression model, air temperature, relative humidity, electricity and energy consumption, and the urban and rural population were optimized to be representative indicators for rapidly assessing the magnitude of regional atmospheric pollutants in the HCA. Such indicators and equations were demonstrated to be useful for local atmospheric environment management.     

Impact of meteorological condition changes on air quality and particulate chemical composition during the COVID-19 lockdown

Stringent quarantine measures during the Coronavirus Disease 2019 (COVID-19) lockdown period (January 23, 2020 to March 15, 2020) have resulted in a distinct decrease in anthropogenic source emissions in North China Plain compared to the paralleled period of 2019. Particularly, 22.7% decrease in NO₂ and 3.0% increase of O₃ was observed in Tianjin, nonlinear relationship between O₃ generation and NO₂ implied that synergetic control of NO_x and VOCs is needed. Deteriorating meteorological condition during the COVID-19 lockdown obscured the actual PM_2.5 reduction. Fireworks transport in 2020 Spring Festival (SF) triggered regional haze pollution. PM_2.5 during the COVID-19 lockdown only reduced by 5.6% in Tianjin. Here we used the dispersion coefficient to normalize the measured PM_2.5 (DN-PM_2.5), aiming to eliminate the adverse meteorological impact and roughly estimate the actual PM_2.5 reduction, which reduced by 17.7% during the COVID-19 lockdown. In terms of PM_2.5 chemical composition, significant NO₃^? increase was observed during the COVID-19 lockdown. However, as a tracer of atmospheric oxidation capacity, odd oxygen (O_x = NO₂ + O₃) was observed to reduce during the COVID-19 lockdown, whereas relative humidity (RH), specific humidity and aerosol liquid water content (ALWC) were observed with noticeable enhancement. Nitrogen oxidation rate (NOR) was observed to increase at higher specific humidity and ALWC, especially in the haze episode occurred during 2020SF, high air humidity and obvious nitrate generation was observed. Anomalously enhanced air humidity may response for the nitrate increase during the COVID-19 lockdown period.     

Chemical characteristics, oxidative potential, and sources of PM2.5 in wintertime in Lahore and Peshawar, Pakistan

The chemical characteristics, oxidative potential, and sources of PM_2.5 were analyzed at the urban sites of Lahore and Peshawar, Pakistan in February 2019. Carbonaceous species, water soluble ions, and metal elements were measured to investigate the chemical composition and sources of PM_2.5. The dithiothreitol (DTT) consumption rate was measured to evaluate the oxidative potential of PM_2.5. Both cities showed a high exposure risk of PM_2.5 regarding its oxidative potential (DTT_v). Carbonaceous and some of the elemental species of PM_2.5 correlated well with DTT_v in both Lahore and Peshawar. Besides, the DTT_v of PM_2.5 in Lahore showed significant positive correlation with most of the measured water soluble ions, however, ions were DTT-inactive in Peshawar. Due to the higher proportions of carbonaceous species and metal elements, Peshawar showed higher mass-normalized DTT activity of PM_2.5 compared to Lahore although the average PM_2.5 concentration in Peshawar was lower. The high concentrations of toxic metals also posed serious non-carcinogenic and carcinogenic risks to the residents of both cities. Principle component analysis coupled with multiple linear regression was applied to investigate different source contributions to PM_2.5 and its oxidative potential. Mixed sources of traffic and road dust resuspension and coal combustion, direct vehicle emission, and biomass burning and formation of secondary aerosol were identified as the major sources of PM_2.5 in both cities. The findings of this study provide important data for evaluation of the potential health risks of PM_2.5 and for formulation of efficient control strategies in major cities of Pakistan.