气象因素和前体物对中国东部O3浓度分布的影响

采用重心模型、空间自相关分析和地理探测器,研究了2016年中国东部O₃浓度的时空变化规律,揭示了气象因素和前体物对中国东部O₃浓度空间分布格局及其演变的影响.结果表明：（1）O₃浓度变化可分为3个阶段：1~3月为低值上升阶段、4~9月为高值波动阶段、10~12月为低值下降阶段,O₃污染主要发生在高值波动阶段,超标天数占全年的96.0%.（2）气象因素是影响O₃年均浓度空间分布格局的主导因素,受降水、相对湿度南高北低和日照时数北高南低的影响,O₃年均浓度总体呈北高南低的态势;前体物对O₃年均浓度分布也有显著影响,是城市群核心城市形成局部O₃污染中心的原因.（3）O₃月均浓度分布格局经历了由北高南低到南高北低的演变过程,1~6月O₃浓度总体重心和高值重心向北迁移,6月达到最北,北高南低的特征最强,环渤海地区成为O₃污染最严重的区域;7~12月,O₃浓度总体重心和高值重心向南迁移,12月达到最南,O₃浓度分布格局演变为南高北低.3~9月雨季期间,O₃浓度分布主要受降水和相对湿度的影响,其余时间主要受气温的影响.（4）前体物对O₃浓度分布的影响主要通过气象条件实现,气温越高,光化学反应越强,前体物的正向影响力越大;气温越低,光化学反应越弱,NO_x、CO、SO₂等化学性质活跃的前体物对O₃可能起消耗作用.     

中国经济增长与能源消耗的脱钩——东部地区的时空分异研究

工业时代的经济增长是以大量消耗能源为代价的,直接导致环境污染和资源枯竭。将经济增速与环境压力脱钩的同时,实现将人类福祉与资源消耗的脱钩,是实现绿色可持续发展的焦点问题。采用Tapio基本模型构建中国能源消耗与经济增长的脱钩模型,将1979-2014年的脱钩指数划分为8种脱钩类型。结果说明,绝对而稳态的脱钩是不存在的。虽然大部分年份的中国处于弱脱钩状态,但长时间尺度上,经济增长与能源消耗存在"连接-脱钩-复钩-再脱钩"的动态反复过程。以中国东部地区10省份为例,研究脱钩指数变化的趋势和时间分异情况。结果显示,进入21世纪后该地区复钩的可能性不断增加,特别在经济增速趋缓的背景下,需要警惕以能源消耗驱动经济发展的模式重现。计算并比较脱钩指数的5年均值,研究中国东部地区脱钩的空间分异情况。结果表明,经济增长与能源消耗是否脱钩与宏观政策的调整密切相关。不断提高利用效率以减少能源消耗总量,保持弱脱钩是中国经济发展与能源消耗关系的常态。     

Forest Dynamics in the Eastern Ghats of Tamil Nadu,India

The primary deciduous forests in the Eastern Ghats (EG) of Tamil Nadu (TN) India have undergone many changes owing to various need-based forest managements, such as timber extraction for industry, railway sleepers, charcoal, and forest clearance for hydroelectric projects and agriculture, during preindependence and postindependence periods (i.e., from 1800 to 1980). The enactment of a forest conservation act during the 1980s changed the perception of forest managers from utilization to conservation. This study was taken up to assess the forests dynamics in the EG of TN spatially between 1990 and 2003 and nonspatially between 1900 and the 1980s. Landsat Thematic Mapper (TM) and Indian Remote Sensing satellite (IRS) 1D Linear Imaging and Self Scanning (LISS III) data were used to assess forests during 1990 and 2003, respectively. Field floristic survey and secondary data (such as published literature, floras, books, and forest working plans) were used to assess the forest dynamics in terms of forest type and species composition among the preindependence period, the postindependence period, and the present (i.e., before and after 1980). The satellite data analysis revealed a considerable amount of changes in all forest types during the 13 years. The comparison of species composition and forest types between the past and present revealed that need-based forest management along with anthropogenic activity have altered the primary deciduous forest in to secondary and postextraction secondary forests such as southern thorn and southern thorn scrub forests in the middle [400–900 m above mean sea level (MSL)] and lower slopes (<400 m MSL). However, the evergreen forests present at the upper slope (>900 m MSL) and plateau seemed not to be much affected by the forest management. The changes estimated by the satellite data processing in the major forest types such as evergreen, deciduous, southern thorn, and southern thorn scrub are really alarming because these changes have occurred after the implementation of a forest conservation act. The dependence of local people on forests for various purposes in this region is also considerably high, which might be a key factor for the changes in the forests. The results of this study not only provide an outlook on the present status of the forests and the change trends but also provide the basis for further studies on forests in the EG of TN.     

Pathways of adaptation of common dandelion cenopopulations to long-term chemical and radiation influences

A comparative study of the seed progeny of dandelions was performed with samples from cenopopulations growing for a long time under conditions of radioactive contamination (the zone of the Eastern Ural Radioactive Trace, EURT) or chemical pollution (the impact zone of the Nizhnii Tagil Metallurgical Plant, NTMP). The viability of seeds proved to decrease in a similar way along with an increase in technogenic pressure, irrespective of its nature. Experiments on acute exposure to heavy metals and γ-irradiation made it possible to reveal the adaptive capacities of the seed progeny from each cenopopulation. The background sample (formed beyond the zone of any impact) was relatively resistant to irradiation and very sensitive to heavy metals. The cenopopulations from the EURT and NTMP zones manifested nonspecific responses to the effects of both habitual and new factors.     

南京东郊风景区旅游环境容量初步研究

通过对南京东郊风景区的实地考察和问卷调查的统计分析，从旅游者的旅游动机、旅游行为方式等方面论述了旅游环境容量的确定和意义，并提出了调控对策和管理意见。     

成都市东区TSP及其重金属污染分析

采用TSP大流量采样器对成都市东区进行连续采样,对该区域大气总悬浮颗粒物的污染情况以及其中的重金属铅、镉、铜、锰、砷、汞的含量进行了分析。结果表明,成都市东区总悬浮颗粒物的超标率达到37.5%,存在中度的大气污染;TSP中重金属元素平均浓度的大小顺序为:As>Mn>Pb>Hg>Cu>Cd;TSP中重金属的含量虽未超过工作场所空气中有毒物质容许浓度值,但随着人类活动及机动车数量的增加,其排放量仍不容忽视。     

国内外近地表处置场处置技术研究

近年来低、中水平放射性废物由于其数量大,种类多等特点得到了国际上越来越多的关注。近地表处置是这类放射性废物的主要处置技术。本文介绍了国外几个国家的近地表处置场运行情况以及管理经验。陈述了我国西北和北龙两个处置场设计及运行情况,对国内外低中放处置场的处置技术进行比较,借鉴国外近地表处置场的先进经验,提出我国近地表处置场建设的相关建议,为我国新建近地表处置场建设提供参考。     

Bioaccumulation of heavy metals in Octopus vulgaris from coastal waters of Alexandria (Eastern Mediterranean)

Heavy metal concentrations (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn) were determined in various tissues (hepatopancreas, branchial hearts, salivary gland, gills, genital tract, mantle, arms and skin) of Octopus vulgaris collected from three different contaminated sites in front of Alexandria (Egypt) during 2000. All collected tissues displayed high enrichment factors when compared to ambient levels. Heavy metal concentrations in most tissues displayed significant differences among sites, sizes and sex. This study suggests that hepatopancreas, and to a lesser extent branchial hearts, are better indicators of chronic Cu, Fe, Zn and Cd contamination than edible tissues. The enrichment factor (EF) for heavy metals in the hepatopancreas and in edible tissues allowed discriminating our samples into three main groups; (1) EF?>?55 (Cu), (2) EF ranging from 15 to 7.5 (Fe, Cd and Zn) and (3) EF?相似文献   

台湾集集7.6级强震前粤东地区的重力中短期异常

基于广东东部地区流动重力观测资料,分析了1999年台湾集集7.6级地震前后重力场的时空动态演化过程,发现1996年起出现的群体性重力测值偏离长趋势的变化,可视为7.6级地震前中期异常的开始,而1998年中出现的反向变化则是中期异常向短期异常的转折。作为强震前的远场重力异常,其时间、空间变化表现出的不一致和非均匀性变化形态,可能主要与测区内不同断层在区域应力场和震源应力场共同作用下产生的局部形变不同有关。     

基于深度学习的华东地区PM2.5浓度遥感反演

PM_2.5作为大气污染的主要来源,对人类身体健康有着极大的影响.本文提出基于深度学习模型的多要素联合PM_2.5反演方法,以PM_2.5浓度作为真值数据,引入Himawari气溶胶光学厚度(AOD)日数据产品与温度、相对湿度和气压等10个要素作为反演要素.为验证方法的有效性,采用华东地区2016～2018年的数据分季节开展实验,并与传统反演方法进行对比.结果表明,PM_2.5浓度与AOD、降水、风速、高植被覆盖指数呈正相关关系,与矮植被覆盖指数呈负相关关系,与温度、湿度、气压以及DEM的相关性随季节的变化而改变;基于深层神经网络(DNN)反演的PM_2.5精度高于传统的线性和非线性模型,各个季节R²均在0.5以上并且误差较小,其中秋季的反演效果最好R²为0.86,夏季为0.75,冬季为0.613,春季为0.566;模型的可视化结果显示,DNN模型的反演结果更接近地面监测站点插值的PM_2.5浓度分布,分辨率更高且更精确.