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891.
Emission inventory evaluation using observations of regional atmospheric background stations of China 总被引:2,自引:0,他引:2
Any accurate simulation of regional air quality by numerical models entails accurate and up-to-date emissions data for that region.The INTEX-B2006 (I06),one of the newest emission inventories recently popularly used in China and East Asia,has been assessed using the Community Multiscale Air Quality model and observations from regional atmospheric background stations of China.Comparisons of the model results with the observations for the species SO2,NO 2,O 3 and CO from the three regional atmospheric background stations of Shangdianzi,Longfengshan and Linan show that the model can basically capture the temporal characteristics of observations such as the monthly,seasonal and diurnal variance trends.Compared to the other three species,the simulated CO values were grossly underestimated by about two-third or one-half of the observed values,related to the uncertainty in CO emissions.Compared to the other two stations,Shangdianzi had poorer simulations,especially for SO2 and CO,which partly resulted from the site location close to local emission sources from the Beijing area;and the regional inventory used was not capable of capturing the influencing factors of strong regional sources on stations.Generally,the fact that summer gave poor simulation,especially for SO2 and O 3,might partly relate to poor simulations of meteorological fields such as temperature and wind. 相似文献
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土壤中苯氧羧酸类除草剂的降解动态 总被引:5,自引:0,他引:5
在室内模拟条件下研究了 2甲 4氯、2,4-D和除草醚在土壤中的降解动态 .将它们放在 3种不同有机质含量的土壤中培养 ,隔一段时间取出测定它们在土壤中的含量 ,发现随着时间的延长 ,它们的含量在逐渐减少 .在未考虑土壤中微生物的作用时 ,上述 3种农药在土壤中的稳定性与土壤中的有机质含量及 pH值似乎存在一定的相关性 .除草剂在有机质含量高的土壤中降解较快 ,2甲 4氯 ,2 ,4-D和除草醚在黑土中的降解半衰期分别为 28.6d,27.3d,71.5d;而在红土中的降解半衰期分别为223.6d,301.4d,97.6d,苯氧羧酸类除草剂在酸性土壤中表现得更为稳定 . 相似文献
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介绍了撬装式含油污水处理装置的研制过程.通过对液-液水力旋流技术、聚结斜板沉降技术、多滤料过滤技术等方面的研究,研制出一套撬装式含油污水处理装置,该装置具有结构紧凑、处理效果好、占地面积小、便于操作、便于运输的特点,适于小区块或边缘油田含油污水的处理.经现场实验,当停留时间仅为5 s时,即可获得较高的除油效率,在进口含油小于150 mg/L时,可将出口水中含油控制在30 mg/L以下,在进口悬浮固体含量小于100 mg/L时,可将出口水中悬浮固体含量控制在20 mg/L以下,使出口水质达到了行业标准SY/T5329-94中的中渗透率油田的B1级的注水标准,实现了含油污水处理后的就地回注,大大节省了污水处理成本. 相似文献
898.
Response of non-point source pollutant loads to climate change in the Shitoukoumen reservoir catchment 总被引:3,自引:0,他引:3
The impacts of climate change on streamflow and non-point source pollutant loads in the Shitoukoumen reservoir catchment are
predicted by combining a general circulation model (HadCM3) with the Soil and Water Assessment Tool (SWAT) hydrological model.
A statistical downscaling model was used to generate future local scenarios of meteorological variables such as temperature
and precipitation. Then, the downscaled meteorological variables were used as input to the SWAT hydrological model calibrated
and validated with observations, and the corresponding changes of future streamflow and non-point source pollutant loads in
Shitoukoumen reservoir catchment were simulated and analyzed. Results show that daily temperature increases in three future
periods (2010–2039, 2040–2069, and 2070–2099) relative to a baseline of 1961–1990, and the rate of increase is 0.63°C per
decade. Annual precipitation also shows an apparent increase of 11 mm per decade. The calibration and validation results showed
that the SWAT model was able to simulate well the streamflow and non-point source pollutant loads, with a coefficient of determination
of 0.7 and a Nash–Sutcliffe efficiency of about 0.7 for both the calibration and validation periods. The future climate change
has a significant impact on streamflow and non-point source pollutant loads. The annual streamflow shows a fluctuating upward
trend from 2010 to 2099, with an increase rate of 1.1 m3 s−1 per decade, and a significant upward trend in summer, with an increase rate of 1.32 m3 s−1 per decade. The increase in summer contributes the most to the increase of annual load compared with other seasons. The annual
NH4+-N load into Shitoukoumen reservoir shows a significant downward trend with a decrease rate of 40.6 t per decade. The annual
TP load shows an insignificant increasing trend, and its change rate is 3.77 t per decade. The results of this analysis provide
a scientific basis for effective support of decision makers and strategies of adaptation to climate change. 相似文献
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