全文获取类型
收费全文 | 2805篇 |
免费 | 158篇 |
国内免费 | 566篇 |
专业分类
安全科学 | 165篇 |
废物处理 | 151篇 |
环保管理 | 238篇 |
综合类 | 1181篇 |
基础理论 | 586篇 |
环境理论 | 1篇 |
污染及防治 | 785篇 |
评价与监测 | 174篇 |
社会与环境 | 191篇 |
灾害及防治 | 57篇 |
出版年
2024年 | 10篇 |
2023年 | 65篇 |
2022年 | 157篇 |
2021年 | 117篇 |
2020年 | 122篇 |
2019年 | 99篇 |
2018年 | 151篇 |
2017年 | 132篇 |
2016年 | 116篇 |
2015年 | 169篇 |
2014年 | 134篇 |
2013年 | 252篇 |
2012年 | 170篇 |
2011年 | 204篇 |
2010年 | 166篇 |
2009年 | 165篇 |
2008年 | 164篇 |
2007年 | 122篇 |
2006年 | 81篇 |
2005年 | 68篇 |
2004年 | 99篇 |
2003年 | 99篇 |
2002年 | 78篇 |
2001年 | 131篇 |
2000年 | 60篇 |
1999年 | 48篇 |
1998年 | 25篇 |
1997年 | 23篇 |
1996年 | 23篇 |
1995年 | 30篇 |
1994年 | 12篇 |
1993年 | 18篇 |
1992年 | 18篇 |
1991年 | 16篇 |
1990年 | 12篇 |
1989年 | 13篇 |
1988年 | 7篇 |
1987年 | 7篇 |
1985年 | 9篇 |
1984年 | 10篇 |
1983年 | 9篇 |
1980年 | 6篇 |
1975年 | 8篇 |
1974年 | 10篇 |
1973年 | 7篇 |
1972年 | 12篇 |
1966年 | 5篇 |
1965年 | 5篇 |
1959年 | 5篇 |
1957年 | 5篇 |
排序方式: 共有3529条查询结果,搜索用时 15 毫秒
1.
利用吸湿增长光散射测量系统、黑碳仪和气相色谱质谱联用仪等仪器,于2019年7月15日~8月4日在北京地区开展了为期21d的大气气溶胶观测实验.观测期间北京市区于7月27日出现短暂的轻度污染,并在7月29日出现强降水天气.结果显示:北京市区夏季大气污染变化剧烈且短暂,大气气溶胶散射吸湿增长因子f(RH)呈现平滑连续的特点,并且降水会对f(RH)造成显著影响.7月27日PM2.5的平均质量浓度为(92.54±47.05)μg/m3;,表现出较为剧烈的污染变化.7月28~30日平均散射吸湿增长因子f(80%±1%)分别为(1.50±0.35),(1.43±0.36)和(1.48±0.25),反映了降水对于大气气溶胶的湿清除作用.最后利用实验数据估算粒径吸湿增长因子gf(RH),并建模研究f(RH)和gf(RH)的关系,模型精度R2最高可达0.698. 相似文献
2.
为判断湖泊水生态健康子系统发展趋势、诊断病态因子,引进了五元减法集对势,建立生态子系统与物理化学子系统的合成矩阵得到湖泊水生态健康状态,从而提出了基于风险矩阵和五元减法集对势的湖泊水生态健康动态诊断评估方法,并应用于安徽省瓦埠湖。结果表明:瓦埠湖水生态健康状态1980—2015年呈变差趋势,2012年为微病态,2015年略有好转。五元减法集对势识别出瓦埠湖水生态健康的病态因子主要有底栖动物、浮游动物、叶绿素、COD、TN、TP和透明度,为改善瓦埠湖水生态健康的重要指标。上述风险矩阵和五元减法集对势耦合的动态诊断评估方法可为湖泊水生态健康评估提供新的思路。 相似文献
3.
4.
海水养殖生境中由于有机质积累以及缺氧条件导致硫化物大量产生,严重危及养殖环境健康。为此,创建海水养殖系统,以沸石为载体吸附固定化硫氧化菌株,通过定位布放固定化硫氧化菌袋,探究其对生境中硫化物控制效果及其影响因素。结果表明,固定化菌剂中活菌含量为1.9×107 CFU/g,对硫化物的控制效果受环境温度、pH、菌剂投加量的影响较大,对温度及pH变化有更好的耐受性;在温度为30℃、pH为7.0、150 r/min的实验条件下,对硫化物的最大去除速率为8.3 mg/(g·h·L)。在海水养殖环境中,将沸石固定化菌剂平铺于土工布袋内,将布袋平铺于养殖系统沉积物-水界面,覆盖率2.5%,固定化布袋菌剂能够显著抑制环境中硫化物的产生,在缺氧条件下7 d内对硫化物的控制率达到99%。本研究表明定点布放硫氧化菌袋能够很好的控制养殖水体中硫化物,为其在海水养殖系统中的应用提供了技术支撑。 相似文献
5.
Yanqin Ren Gehui Wang Jianjun Li Can Wu Cong Cao Jiayuan Wang Lu Zhang Fan Meng Hong Li 《环境科学学报(英文版)》2018,30(9):32-44
Size-resolved biogenic secondary organic aerosols(BSOA) derived from isoprene and monoterpene photooxidation in Qinghai Lake, Tibetan Plateau(a continental background site) and five cities of China were measured using gas chromatography/mass spectrometry(GC/MS). Concentrations of the determined BSOA are higher in the cities than in the background and are also higher in summer than in winter. Moreover, strong positive correlations(R2= 0.44–0.90) between BSOA and sulfate were found at the six sites,suggesting that anthropogenic pollution(i.e., sulfate) could enhance SOA formation,because sulfate provides a surface favorable for acid-catalyzed formation of BSOA. Size distribution measurements showed that most of the determined SOA tracers are enriched in the fine mode( 3.3 μm) except for cis-pinic and cis-pinonic acids, both presented a comparable mass in the fine and coarse( 3.3 μm) modes, respectively. Mass ratio of oxidation products derived from isoprene to those from monoterpene in the five urban regions during summer are much less than those in Qinghai Lake region. In addition, in the five urban regions relative abundances of monoterpene oxidation products to SOA are much higher than those of isoprene. Such phenomena suggest that BSOA derived from monoterpenes are more abundant than those from isoprene in Chinese urban areas. 相似文献
6.
利用静态箱-气相色谱法对夏季(7月、8月和9月)长江河口湿地芦苇植被CO_2、CH_4和N_2O的叶面通量、茎秆扩散速率以及沉积物通量的日变化进行研究。结果显示,通过芦苇叶片排放的N_2O与CH_4的量分别为2.99μg/(m~2·h)和15.36μg/(m~2·h),CO_2则呈现白天吸收(-120.86 mg/(m~2·h))、夜间排放(69.39 mg/(m~2·h))的特点。芦苇茎秆N_2O、CH_4和CO_2平均扩散速率分别为1.96μg/h、142.45μg/h和10.69 mg/h,沉积物平均排放通量为N_2O 8.18μg/(m~2·h)、CH_41.58 mg/(m~2·h)、CO_2169.66 mg/(m~2·h)。芦苇茎秆和沉积物界面CH_4和CO_2的排放均呈现出明显的"单峰型"昼夜变化规律,其排放峰值集中在日照及温度最高的9:00至15:00。芦苇植株是影响温室气体排放变化的因素之一。芦苇植株在光合作用下吸收CO_2并促进CH_4的排放,而芦苇发达的根系及茎秆是温室气体排放的主要途径。同时,Pearson相关性分析表明温度对芦苇群落CH_4和NO2的排放影响显著,但与CO_2通量的相关性不明显。土壤氧化还原电位对3种气体的排放均有显著影响。 相似文献
7.
Analysis of pollutant levels in central Hong Kong applying neural network method with particle swarm optimization 总被引:6,自引:0,他引:6
Air pollution has emerged as an imminent issue in modernsociety. Prediction of pollutant levels is an importantresearch topic in atmospheric environment today. For fulfillingsuch prediction, the use of neural network (NN), and inparticular the multi-layer perceptrons, has presented to be acost-effective technique superior to traditional statisticalmethods. But their training, usually with back-propagation (BP)algorithm or other gradient algorithms, is often with certaindrawbacks, such as: 1) very slow convergence, and 2) easilygetting stuck in a local minimum. In this paper, a newlydeveloped method, particle swarm optimization (PSO) model, isadopted to train perceptrons, to predict pollutant levels, andas a result, a PSO-based neural network approach is presented. The approach is demonstrated to be feasible and effective bypredicting some real air-quality problems. 相似文献
8.
The reduction of SO2 by the addition of ammonia gas has been studied in a 2 m high fluidized bed combustor having a 30 cm static bed height and a freeboard height of 170 cm. Ammonia gas was injected at 52 cm above the distributor where the temperature is ca. 700° C by an uncooled stainless steel tube injector. Experiments were carried out to investigate the effects of amminia gas injection on sulphur dioxide emissions at unstaged conditions of: (i) excess air level, (ii) NH3:SO2 molar ratio, (iii) fluidizing velocity and (iv) bed height.A maximum reduction of 75% in SO2 emissions was found at 40% excess air, at an NH3:SO2 molar ratio of 5.4. The onset of SO2 reduction occurred at an NH3:SO2 ratio of 1.5 However, the most effective ratio was found to be between 3 and 5. Fluidizing velocity and bed height were also found to have significant influence on SO2 reduction.It is difficult to determine how the SO2 reduction varied with operating conditions. When ammonia is added in the main combustor zone, the temperature is much higher than that required for the occurrence of sulphur dioxide-ammonia and sulphur trioxide-ammonia reactions. However, this paper points out the significance of ammonia addition in the reduction of sulphur dioxide. 相似文献
9.
Using improved neural network model to analyze RSP,NOx and NO2 levels in urban air in Mong Kok,Hong Kong 总被引:4,自引:0,他引:4
As the health impact of air pollutants existing in ambient addresses much attention in recent years, forecasting of airpollutant parameters becomes an important and popular topic inenvironmental science. Airborne pollution is a serious, and willbe a major problem in Hong Kong within the next few years. InHong Kong, Respirable Suspended Particulate (RSP) and NitrogenOxides NOx and NO2 are major air pollutants due to thedominant diesel fuel usage by public transportation and heavyvehicles. Hence, the investigation and prediction of the influence and the tendency of these pollutants are ofsignificance to public and the city image. The multi-layerperceptron (MLP) neural network is regarded as a reliable andcost-effective method to achieve such tasks. The works presentedhere involve developing an improved neural network model, whichcombines the principal component analysis (PCA) technique and theradial basis function (RBF) network, and forecasting thepollutant levels and tendencies based in the recorded data. Inthe study, the PCA is firstly used to reduce and orthogonalizethe original input variables (data), these treated variables arethen used as new input vectors in RBF neural network modelestablished for forecasting the pollutant tendencies. Comparingwith the general neural network models, the proposed modelpossesses simpler network architecture, faster training speed,and more satisfactory predicting performance. This improvedmodel is evaluated by using hourly time series of RSP, NOx and NO2 concentrations collected at Mong Kok Roadside Gaseous Monitory Station in Hong Kong during the year 2000. By comparing the predicted RSP, NOx and NO2 concentrationswith the actual data of these pollutants recorded at the monitorystation, the effectiveness of the proposed model has been proven.Therefore, in authors' opinion, the model presented in the paper is a potential tool in forecasting air quality parameters and hasadvantages over the traditional neural network methods. 相似文献
10.
通过对大气细菌数量、霉菌数量与风速相关性的研究,得出齐市地区冬季气候寒冷,无相关性;春季气候干燥,风沙大,有相关性;雨后大气细菌数量与风速无相关性,大气霉菌数量与风速相关。 相似文献