全文获取类型
收费全文 | 107篇 |
免费 | 4篇 |
国内免费 | 14篇 |
专业分类
安全科学 | 2篇 |
废物处理 | 1篇 |
环保管理 | 26篇 |
综合类 | 39篇 |
基础理论 | 21篇 |
污染及防治 | 10篇 |
评价与监测 | 6篇 |
社会与环境 | 17篇 |
灾害及防治 | 3篇 |
出版年
2023年 | 2篇 |
2022年 | 4篇 |
2021年 | 4篇 |
2020年 | 5篇 |
2019年 | 1篇 |
2018年 | 4篇 |
2017年 | 5篇 |
2016年 | 8篇 |
2015年 | 3篇 |
2014年 | 5篇 |
2013年 | 5篇 |
2012年 | 4篇 |
2011年 | 5篇 |
2010年 | 4篇 |
2009年 | 8篇 |
2008年 | 5篇 |
2007年 | 8篇 |
2006年 | 4篇 |
2005年 | 3篇 |
2004年 | 4篇 |
2003年 | 9篇 |
2001年 | 3篇 |
2000年 | 1篇 |
1998年 | 1篇 |
1997年 | 1篇 |
1996年 | 2篇 |
1995年 | 2篇 |
1993年 | 1篇 |
1992年 | 2篇 |
1991年 | 1篇 |
1989年 | 5篇 |
1988年 | 1篇 |
1987年 | 3篇 |
1984年 | 1篇 |
1983年 | 1篇 |
排序方式: 共有125条查询结果,搜索用时 15 毫秒
31.
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,NOx、CO、SO2等化学性质活跃的前体物对O3可能起消耗作用. 相似文献
32.
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 总被引:1,自引:0,他引:1
刘惠敏 《中国人口.资源与环境》2016,(12):157-163
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。 相似文献
33.
Forest Dynamics in the Eastern Ghats of Tamil Nadu,India 总被引:1,自引:0,他引:1
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. 相似文献
34.
V. N. Pozolotina E. V. Antonova V. S. Bezel’ T. V. Zhuikova O. A. Severyukhina 《Russian Journal of Ecology》2006,37(6):402-407
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. 相似文献
35.
南京东郊风景区旅游环境容量初步研究 总被引:18,自引:0,他引:18
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。 相似文献
36.
37.
38.
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?2.5 (Mn, Co, Pb, Ni and Cr). In the Mex area, the most polluted site, the highest bioaccumulation of Cu, Fe, Zn and Mn was observed. In the Kayet Bey were observed high levels of Pb and in Agami high concentrations of Cd were recorded. Females bioaccumulated Pb and Fe and less Zn, Cr, and Co than males, whereas Ni and Mn concentrations were sex independent. Concentrations of both Mn and Co in gonads, Cr in branchial hearts and Zn in both gills and mantle increased linearly with animal weight. Conversely, concentrations of Cd and Ni in gonads, Mn in mantle and Pb in hepatopancreas were inversely related with body size. Finally, heavy metal bioaccumulations in the liver were independent from animal size. 相似文献
39.
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。 相似文献
40.
PM2.5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PM2.5反演方法,以PM2.5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,PM2.5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PM2.5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PM2.5浓度分布,分辨率更高且更精确. 相似文献