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1.
In order to study a new leak detection and location method for oil and natural gas pipelines based on acoustic waves, the propagation model is established and modified. Firstly, the propagation law in theory is obtained by analyzing the damping impact factors which cause the attenuation. Then, the dominant-energy frequency bands of leakage acoustic waves are obtained through experiments by wavelet transform analysis. Thirdly, the actual propagation model is modified by the correction factor based on the dominant-energy frequency bands. Then a new leak detection and location method is proposed based on the propagation law which is validated by the experiments for oil pipelines. Finally, the conclusions and the method are applied to the gas pipelines in experiments. The results indicate: the modified propagation model can be established by the experimental method; the new leak location method is effective and can be applied to both oil and gas pipelines and it has advantages over the traditional location method based on the velocity and the time difference. Conclusions can be drawn that the new leak detection and location method can effectively and accurately detect and locate the leakages in oil and natural gas pipelines. 相似文献
2.
Background, Aim and Scope Air quality is an field of major concern in large cities. This problem has led administrations to introduce plans and regulations
to reduce pollutant emissions. The analysis of variations in the concentration of pollutants is useful when evaluating the
effectiveness of these plans. However, such an analysis cannot be undertaken using standard statistical techniques, due to
the fact that concentrations of atmospheric pollutants often exhibit a lack of normality and are autocorrelated. On the other
hand, if long-term trends of any pollutant’s emissions are to be detected, meteorological effects must be removed from the
time series analysed, due to their strong masking effects.
Materials and Methods The application of statistical methods to analyse temporal variations is illustrated using monthly carbon monoxide (CO) concentrations
observed at an urban site. The sampling site is located at a street intersection in central Valencia (Spain) with a high traffic
density. Valencia is the third largest city in Spain. It is a typical Mediterranean city in terms of its urban structure and
climatology. The sampling site started operation in January 1994 and monitored CO ground level concentrations until February
2002. Its geographic coordinates are W0°22′52″ N39°28′05″ and its altitude is 11 m. Two nonparametric trend tests are applied.
One of these is robust against serial correlation with regards to the false rejection rate, when observations have a strong
persistence or when the sample size per month is small. A nonparametric analysis of the homogeneity of trends between seasons
is also discussed. A multiple linear regression model is used with the transformed data, including the effect of meteorological
variables. The method of generalized least squares is applied to estimate the model parameters to take into account the serial
dependence of the residuals of this model. This study also assesses temporal changes using the Kolmogorov-Zurbenko (KZ) filter.
The KZ filter has been shown to be an effective way to remove the influence of meteorological conditions on O3 and PM to examine underlying trends.
Results The nonparametric tests indicate a decreasing, significant trend in the sampled site. The application of the linear model
yields a significant decrease every twelve months of 15.8% for the average monthly CO concentration. The 95% confidence interval
for the trend ranges from 13.9% to 17.7%. The seasonal cycle also provides significant results. There are no differences in
trends throughout the months. The percentage of CO variance explained by the linear model is 90.3%. The KZ filter separates
out long, short-term and seasonal variations in the CO series. The estimated, significant, long-term trend every year results
in 10.3% with this method. The 95% confidence interval ranges from 8.8% to 11.9%. This approach explains 89.9% of the CO temporal
variations.
Discussion The differences between the linear model and KZ filter trend estimations are due to the fact that the KZ filter performs the
analysis on the smoothed data rather than the original data. In the KZ filter trend estimation, the effect of meteorological
conditions has been removed. The CO short-term componentis attributable to weather and short-term fluctuations in emissions.
There is a significant seasonal cycle. This component is a result of changes in the traffic, the yearly meteorological cycle
and the interactions between these two factors. There are peaks during the autumn and winter months, which have more traffic
density in the sampled site. There is a minimum during the month of August, reflecting the very low level of vehicle emissions
which is a direct consequence of the holiday period.
Conclusions The significant, decreasing trend implies to a certain extent that the urban environment in the area is improving. This trend
results from changes in overall emissions, pollutant transport, climate, policy and economics. It is also due to the effect
of introducing reformulated gasoline. The additives enable vehicles to burn fuel with a higher air/fuel ratio, thereby lowering
the emission of CO. The KZ filter has been the most effective method to separate the CO series components and to obtain an
estimate of the long-term trend due to changes in emissions, removing the effect of meteorological conditions.
Recommendations and Perspectives Air quality managers and policy-makers must understand the link between climate and pollutants to select optimal pollutant
reduction strategies and avoid exceeding emission directives. This paper analyses eight years of ambient CO data at a site
with a high traffic density, and provides results that are useful for decision-making. The assessment of long-term changes
in air pollutants to evaluate reduction strategies has to be done while taking into account meteorological variability 相似文献
3.
A modular approach to Integrated Assessment modeling 总被引:1,自引:0,他引:1
In this paper, we present a new approach to model coupling that probably forms the methodological basis of a new generation of Integrated Assessment models. This approach respects the knowledge and expertise that is embodied in existing models and encourages their gradual evolution. Modularity is the guiding principle. Our approach is distinguished by the way modules are coupled which is based on an interplay of a job control module, a numerical coupling module, and a couple of stand-alone functional modules. The numerical coupling module - the core component - serves to treat the feedbacks between the functional modules. A first implemented example that couples an economic and a climate module by means of a two-phase meta-optimization is presented here. The algorithm and mathematical structure behind are discussed as well as important features such as convergence behavior and reliability. 相似文献
4.
5.
Wang Xian-hua 《安全与环境工程》2001,(4)
The Safety Sate Equation of theSafety System Any system is moving,and the system mo-tion is the results of contradiction existing in thesystem.So is the safety system.In the safetysystem,the contradiction is the affection of thetwo concentrated variables,the hazard(H) andthe hazard control(C) .The ratio of injury anddeath of the system (Y) is one of the indexes de-scribing the safety state of system.Therefore,Yis the reflection of the result between hazard Hand hazard control C.Ac… 相似文献
6.
基于强可持续研究范式,以生态经济学和可持续发展理论为基础,运用两阶段网络Super-EBM模型进行绩效测算和评价,打开生态福利转化过程的“黑箱”,基于综合福利视角将生态文明建设绩效进一步分解为生态经济效率和经济福利效率,实证研究部分选取2006-2015年的时间序列数据对中国“十一五”和“十二五”期间的生态文明建设绩效水平进行纵向分析,与此同时,选取42个国家2014年的截面数据进行横向的国际对比研究。研究表明:(1)“十一五”到“十二五”期间,中国生态文明建设绩效(0.986)整体水平一般,均未实现DEA有效,但“十二五”期间已呈现出逐年改善的利好趋势。国际比较层面,瑞士(1.647)、印度尼西亚(1.365)、爱尔兰(1.039)依次排名前三位,中国(0.297)排名相对靠后,位列倒数第二。各国之间差异较大,总体上呈现出“OECD国家(0.677)最高、G20国家(0.611)次之、金砖国家(0.417)最低”的态势。(2)从分阶段效率来看,无论是纵向分析还是横向对比,均发现第一阶段的生态经济效率明显低于第二阶段的经济福利效率,生态经济效率偏低是导致生态文明建设绩效总体水平偏低的主要原因。(3)与传统的单阶段、径向或非径向DEA模型相比,两阶段网络Super-EBM模型综合考虑了径向和松弛变量问题,测算出来的效率值更为精确,能够更为客观地反映现实。同时,对于其他领域涉及两阶段或多阶段生产系统的效率或绩效评估具有较好的借鉴价值。最后,根据上述结论提出相应的政策建议。 相似文献
7.
研究区主要的成岩作用类型有胶结、溶解、硅化、白云石化、压实-压溶和去白云石化作用等,详细研究了每种成岩作用的矿物岩石学特征及对孔隙形成、演化的影响。把研究区成岩环境划分为大气淡水成岩环境、海水成岩环境、混合水成岩环境、埋藏成岩环境和晚期表生成岩环境五大类.总结了每种成岩环境的成岩组构特征、成岩标志、δ18O和δC及微量元素Na+、Sr2+的分布规律。此外,还探讨了深水斜坡相粉-细晶白云岩和台地浅滩相颗粒白云岩的成岩演化序列与孔隙演化,最后概括出了研究区碳酸盐岩的成岩作用模式。 相似文献
8.
IntroductionItiswidelyrecognizedthatthephysicochemicalprofileoforganicchemicalslargelydeterminestheirdistributionbetweenenvironmentalmedia .Fortheenvironmentalbehaviorsoforganiccontaminants,watersolubility(SW)andoctanol waterpartitioncoefficient(KOW)aretremendouslyimportant.Octanol waterpartitioncoefficienthasbeenwidelyrelatedtobiochemicaland orbiologicalactivityinquantitativestructure activityrelationships(QSARs) (Leo ,1 971 ) .Watersolubilitycorrespondstothedispersiontendencyandtothereca… 相似文献
9.
目的 分析变速器壳体驻车耐久试验的失效根本原因,对变速器壳体进行低周疲劳优化设计.方法 首先排查壳体的化学成分、铸造质量,排除材料和工艺引起失效问题的可能性,然后通过有限元方法分析驻车轴孔的最大拉应变、驻车工况壳体变形、轴孔接触区域.根据局部应变分布特征,提出驻车轴修形的优化方案,并且根据壳体材料的低周疲劳参数,确定Coffin-Manson模型,并根据该模型预测壳体驻车轴孔优化前后的疲劳寿命.结果 驻车轴孔的最大拉应变高达0.95%,确定应变过大是导致壳体失效的根本原因.驻车轴度修形的优化方案将最大拉应变降低到0.40%,塑性应变占比由42%降低到5%,疲劳寿命的预测值由原来的175次提高到7980次,满足试验循环次数1000次的要求,最终优化物理样机通过了驻车耐久试验验证.结论 使用的Coffin-Manson模型参数能准确地预测变速器壳体的低周疲劳寿命,驻车轴小角度修形优化方案能够有效解决局部应变过大的失效问题,具有一定的工程参考意义. 相似文献
10.