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61.
Yuchen Gao Jianguo Jiang Yuan Meng Tongyao Ju Siyu Han 《Frontiers of Environmental Science & Engineering》2023,17(3):32
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Tienan Ju Mei Lei Guanghui Guo Jinglun Xi Yang Zhang Yuan Xu Qijia Lou 《Frontiers of Environmental Science & Engineering》2023,17(1):8
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Ju Lynne Saw Jill Wilday Howard Harte 《Process Safety and Environmental Protection》2010,88(4):236-242
A learning organisation is one that not only values and encourages learning from its own experiences, but also looks beyond itself for lessons, and avoids complacency. To be a learning organisation is a key part of the safety culture of any organisation involved with major hazard processes. It facilitates learning which can reduce the risk from major accident hazards. The paper provides a learning organisation toolkit which synthesises, from various literature sources, an understanding of what a learning organisation is and how to begin to develop one within an organisation. The paper illustrates how the regulator can be a learning organisation for major hazards, using the example of HSE's offshore fire, explosion and risk assessment team. 相似文献
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针对中国经济发展中出现的“反溢出效应”,有学者认为占用外省市自然资源的地区应给予输出自然资源的地区一定的经济补偿,也是生态转移支付的一种形式,试图以此实现社会经济发展的公平性。文章基于生态足迹理论,建立这种补偿的理论基础并尝试确定补偿的标准。结果显示:有13个省市需要向其他地区支付一定的生态补偿。应支付生态补偿的地区多为东部沿海的经济发达地区,应接受补偿的地区多为较落后的中西部地区。 相似文献
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Relationships between net primary productivity and stand age for several forest types and their influence on China's carbon balance 总被引:2,自引:0,他引:2
Affected by natural and anthropogenic disturbances such as forest fires, insect-induced mortality and harvesting, forest stand age plays an important role in determining the distribution of carbon pools and fluxes in a variety of forest ecosystems. An improved understanding of the relationship between net primary productivity (NPP) and stand age (i.e., age-related increase and decline in forest productivity) is essential for the simulation and prediction of the global carbon cycle at annual, decadal, centurial, or even longer temporal scales. In this paper, we developed functions describing the relationship between national mean NPP and stand age using stand age information derived from forest inventory data and NPP simulated by the BEPS (Boreal Ecosystem Productivity Simulator) model in 2001. Due to differences in ecobiophysical characteristics of different forest types, NPP-age equations were developed for five typical forest ecosystems in China (deciduous needleleaf forest (DNF), evergreen needleleaf forest in tropic and subtropical zones (ENF-S), deciduous broadleaf forest (DBF), evergreen broadleaf forest (EBF), and mixed broadleaf forest (MBF)). For DNF, ENF-S, EBF, and MBF, changes in NPP with age were well fitted with a common non-linear function, with R(2) values equal to 0.90, 0.75, 0.66, and 0.67, respectively. In contrast, a second order polynomial was best suitable for simulating the change of NPP for DBF, with an R(2) value of 0.79. The timing and magnitude of the maximum NPP varied with forest types. DNF, EBF, and MBF reached the peak NPP at the age of 54, 40, and 32 years, respectively, while the NPP of ENF-S maximizes at the age of 13 years. The highest NPP of DBF appeared at 122 years. NPP was generally lower in older stands with the exception of DBF, and this particular finding runs counter to the paradigm of age-related decline in forest growth. Evaluation based on measurements of NPP and stand age at the plot-level demonstrates the reliability and applicability of the fitted NPP-age relationships. These relationships were used to replace the normalized NPP-age relationship used in the original InTEC (Integrated Terrestrial Ecosystem Carbon) model, to improve the accuracy of estimated carbon balance for China's forest ecosystems. With the revised NPP-age relationship, the InTEC model simulated a larger carbon source from 1950-1980 and a larger carbon sink from 1985-2001 for China's forests than the original InTEC model did because of the modification to the age-related carbon dynamics in forests. This finding confirms the importance of considering the dynamics of NPP related to forest age in estimating regional and global terrestrial carbon budgets. 相似文献
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类二噁英多氯联苯生殖毒性的研究进展 总被引:1,自引:0,他引:1
类二噁英多氯联苯(DlPCBs)作为典型的环境内分泌干扰物,会干扰接触个体或其后代的内分泌功能,破坏机体的神经系统、免疫系统,尤其对生殖系统的影响最为明显,比如对生殖器官的形态与功能、生殖内分泌、原始生殖细胞及其受精和早期胚胎发育等产生严重影响,最终导致各种生殖系统疾病的发生。DlPCBs的蓄积性及半挥发性使其在环境中分布广泛,半衰期长的特点使其将对动物及人类的生存和健康造成难以想象的影响。本文综述了DlPCBs的分类与构成、一般性质、生殖毒性以及其可能的致病机理,并对DlPCBs生殖毒性机理研究的重点方向进行了展望。 相似文献