全文获取类型
收费全文 | 7708篇 |
免费 | 979篇 |
国内免费 | 2678篇 |
专业分类
安全科学 | 956篇 |
废物处理 | 268篇 |
环保管理 | 632篇 |
综合类 | 5667篇 |
基础理论 | 1275篇 |
环境理论 | 2篇 |
污染及防治 | 1193篇 |
评价与监测 | 527篇 |
社会与环境 | 518篇 |
灾害及防治 | 327篇 |
出版年
2024年 | 49篇 |
2023年 | 192篇 |
2022年 | 505篇 |
2021年 | 515篇 |
2020年 | 543篇 |
2019年 | 359篇 |
2018年 | 410篇 |
2017年 | 450篇 |
2016年 | 414篇 |
2015年 | 518篇 |
2014年 | 584篇 |
2013年 | 720篇 |
2012年 | 720篇 |
2011年 | 705篇 |
2010年 | 560篇 |
2009年 | 538篇 |
2008年 | 535篇 |
2007年 | 505篇 |
2006年 | 532篇 |
2005年 | 416篇 |
2004年 | 272篇 |
2003年 | 201篇 |
2002年 | 178篇 |
2001年 | 168篇 |
2000年 | 176篇 |
1999年 | 111篇 |
1998年 | 97篇 |
1997年 | 79篇 |
1996年 | 74篇 |
1995年 | 63篇 |
1994年 | 50篇 |
1993年 | 32篇 |
1992年 | 47篇 |
1991年 | 13篇 |
1990年 | 8篇 |
1989年 | 6篇 |
1988年 | 8篇 |
1987年 | 3篇 |
1986年 | 1篇 |
1985年 | 1篇 |
1984年 | 3篇 |
1982年 | 1篇 |
1981年 | 1篇 |
1966年 | 1篇 |
1959年 | 1篇 |
排序方式: 共有10000条查询结果,搜索用时 15 毫秒
71.
72.
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
73.
土壤石油类(红外法)标样制作方法的研究 总被引:4,自引:0,他引:4
对我国环境监测用于土壤矿物油污染监测所必备的标准样品制作方法作了探索,尤其对该类标样的液-固态吸附饱和及其浓度平衡关系作了探讨,从理论上保证标样的均匀性和稳定性,为标样最后的定值分析提供依据. 相似文献
74.
利用2017—2018年全国7个区域10个典型城市环境空气O3和PM2.5浓度数据,统计污染物累积速率,进而采用回归方法拟合污染物浓度及其累积速率的时间序列模型,分析不同区域污染物时序变化特征差异。结果表明:不同区域O3浓度时序曲线拟合程度总体高于PM2.5,石家庄O3拟合程度最高,西安PM2.5拟合程度最高。以07:00、14:00分别作为O3、PM2.5模拟起点是24 h中的最优模型。不同城市夏季O3小时浓度时序变化曲线均为单峰形态,O3浓度及累积速率峰值出现时间可能由城市所处经度决定,太原O3累积最快,西安O3消解最快。各城市间冬季PM2.5小时浓度及其累积速率时序变化曲线形态差异较大,沈阳PM2.5累积和消解均最快。与浓度相比,城市环境空气O3和PM2.5累积速率与光照、扩散条件等有更好的时间相关性。 相似文献
75.
The analysis of BTEX and other substituted benzenes in water samples using solid phase microextraction (SPME) and quantification by gas chromatography with flame ionization detection (GC-FID) was validated. The best analytical conditions were obtained using PDMS/DVB/CAR fibre using headspace extraction (HS-SPME) at 50 [degree]C for 20 min without stirring. The linear range for each compound by HS-SPME with GC/FID was defined. The detection limits for these compounds obtained with PDMS/DVB/CAR fibre and GC/FID were: benzene (15 ng L(-1)), toluene (160 ng L(-1)), monochlorobenzene (54 ng L(-1)), ethylbenzene (32 ng L(-1)), m-xylene (56 ng L(-1)), p-xylene (69 ng L(-1)), styrene (35 ng L(-1)), o-xylene (42 ng L(-1)), m-dichlorobenzene (180 ng L(-1)), p-dichlorobenzene (230 ng L(-1)), o-dichlorobenzene (250 ng L(-1)) and trichlorobenzene (260 ng L(-1)). This headspace SPME-GC-FID method was compared with a previously validated method of analysis using closed-loop-stripping analysis (CLSA). The headspace SPME-GC-FID method is suitable for monitoring the production and distribution of potable water and was used, in field trials, for the analysis of samples from main intakes of water (surface or underground) and from the water supply system of a large area (Lisbon and neighbouring municipalities). 相似文献
76.
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
77.
Diesel-powered equipment is known to emit significant quantities of fine particulate matter to the atmosphere. Numerous organic compounds can be adsorbed onto the surfaces of these inhalable particles, among which polycyclic aromatic hydrocarbons (PAHs) are considered potential occupational carcinogens. Guidelines have been established by various agencies regarding diesel emissions and various control technologies are under development. The purpose of this study is to identify, quantify and compare the organic compounds in diesel particulate matter (DPM) with the diesel fuel and engine oil used in a non-road diesel generator. Approximately 90 organic compounds were quantified (with molecular weight ranging from 120 to 350), which include alkanes, PAHs, alkylated PAHs, alkylbenzenes and alkanoic acids. The low sulfur diesel fuel contains 61% alkanes and 7.1% of PAHs. The identifiable portion of the engine oil contains mainly the alkanoic and benzoic acids. The composition of DPM suggests that they may be originated from unburned diesel fuel, engine oil evaporation and combustion generated products. Compared with diesel fuel, DPM contains fewer fractions of alkanes and more PAH compounds, with the shift toward higher molecular weight ones. The enrichment of compounds with higher molecular weight in DPM may be combustion related (pyrogenic). 相似文献
78.
79.
固定化微生物处理有机污染物的研究进展 总被引:4,自引:0,他引:4
综述了近年来固定化微生物技术用于有机污染物治理中的最新进展,这些有机污染物包括难降解有机污染物(酚类、芳香烃类等)及其它化合物(DMP、甲硫醇恶臭气体、制药废水等)。此外,对藻类固定化技术作了简介,并对固定化技术的应用前景及存在问题进行了评述。 相似文献
80.
于2015年10月对上海市嘉定区4家(A、B、C、D)汽车制造企业涂装废气ρ(VOCs)和组成特征进行了调查分析。结果表明,A、B、C、D厂涂装废气排放口ρ(VOCs)总为0. 743~6. 11 mg/m~3,主要检出物和最高检出值分别为:A厂二甲苯2. 06 mg/m~3、B厂二甲苯0. 578 mg/m~3、C厂甲苯2. 59 mg/m~3、D厂庚烷0. 274 mg/m~3;芳香烃类是A、B、C厂排放比例最高的VOCs组分,烷烃类是D厂排放比例最高的VOCs组分。指出,原、辅料种类影响排放物的主要成分,废气处理工艺类型影响排放物主要成分和浓度。 相似文献