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891.
广东省典型电子工业企业挥发性有机物排放特征研究 总被引:10,自引:4,他引:10
针对广东省电子工业进行调研与监测,分别选取了手机、相机及笔记本电脑3类典型产品的代表性企业为研究对象,利用活性炭管采样,样品经溶剂解吸后采用GC/MS分析,获得了排气筒及车间废气的VOCs含量水平及组分特征,并利用监测计算法、排放因子法及物料衡算法3种方式计算了各企业的VOCs排放量.结果表明:喷涂车间VOCs浓度范围为43.01~322.34 mg·m~(-3),调漆、供漆车间VOCs浓度范围为103~172.714 mg·m~(-3);车间中VOCs物种为8~10种,不同产品类型VOCs物种不同,但含氧VOCs的比例均超过50%.排气筒的VOCs浓度范围为48.01~155.38 mg·m~(-3),且不同产品排气筒的VOCs物种均比车间成分简单.3种方式计算的VOCs排放量不同,其中,物料衡算法计算结果最大,监测计算法计算结果最小.3类产品喷涂车间非致癌风险危害商值(HQ)在3.44×10-3~7.17之间,总危害商值之和(HI)分别为2.22×10-2、1.97及7.27. 相似文献
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895.
Changgeng Liu Panyue Zhang Chenghua Zeng Guangming Zeng Guoyin Xu Yi Huang 《环境科学学报(英文版)》2015,28(2):37-42
A novel joint method of bioleaching with Fenton oxidation was applied to condition sewage sludge. The specific resistance to filtration(SRF) and moisture of sludge cake(MSC) were adopted to evaluate the improvement of sludge dewaterability. After 2-day bioleaching, the sludge p H dropped to about 2.5 which satisfied the acidic condition for Fenton oxidation.Meanwhile, the SRF declined from 6.45 × 1010 to 2.07 × 1010s2/g, and MSC decreased from91.42% to 87.66%. The bioleached sludge was further conditioned with Fenton oxidation. From an economical point of view, the optimal dosages of H2O2 and Fe2+were 0.12 and 0.036 mol/L,respectively, and the optimal reaction time was 60 min. Under optimal conditions, SRF,volatile solids reduction, and MSC were 3.43 × 108s2/g, 36.93%, and 79.58%, respectively. The stability and settleability of sewage sludge were both improved significantly. Besides,the results indicated that bioleaching-Fenton oxidation was more efficient in dewatering the sewage sludge than traditional Fenton oxidation. The sludge conditioning mechanisms by bioleaching-Fenton oxidation might mainly include the flocculation effects and the releases of extracellular polymeric substances–bound water and intercellular water. 相似文献
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A field experiment from 18 August to 8 September 2006 in Beijing, China, was carried out. A hazy day was defined as visibility < l0 km and RH (relative humidity) < 90%. Four haze episodes, which accounted for ~ 60% of the time during the whole campaign, were characterized by increases of SNA (sulfate, nitrate, and ammonium) and SOA (secondary organic aerosol) concentrations. The average values with standard deviation of SO42 −, NO3−, NH4+ and SOA were 49.8 (± 31.6), 31.4 (± 22.3), 25.8 (± 16.6) and 8.9 (± 4.1) μg/m3, respectively, during the haze episodes, which were 4.3, 3.4, 4.1, and 1.7 times those in the non-haze days. The SO42 −, NO3−, NH4+, and SOA accounted for 15.8%, 8.8%, 7.3%, and 6.0% of the total mass concentration of PM10 during the non-haze days. The respective contributions of SNA species to PM10 rose to about 27.2%, 15.9%, and 13.9% during the haze days, while the contributions of SOA maintained the same level with a slight decrease to about 4.9%. The observed mass concentrations of SNA and SOA increased with the increase of PM10 mass concentration, however, the rate of increase of SNA was much faster than that of the SOA. The SOR (sulfur oxidation ratio) and NOR (nitrogen oxidation ratio) increased from non-haze days to hazy days, and increased with the increase of RH. High concentrations of aerosols and water vapor favored the conversion of SO2 to SO42 − and NO2 to NO3−, which accelerated the accumulation of the aerosols and resulted in the formation of haze in Beijing. 相似文献
898.
Li Xiaodong Zeng Guangming Huang Guohe Li Jianbing Jiang Ru 《Frontiers of Environmental Science & Engineering in China》2007,1(3):334-338
By predicting influent quantity, a wastewater treatment plant (WWTP) can be well controlled. The nonlinear dynamic characteristic
of WWTP influent quantity time series was analyzed, with the assumption that the series was predictable. Based on this, a
short-term forecasting chaos neural network model of WWTP influent quantity was built by phase space reconstruction. Reasonable
forecasting results were achieved using this method.
Translated from Acta Scientiae Circumstantiae, 2006, 26(3): 416–419 [译自: 环境科学学报] 相似文献
899.
PM2:5 samples were collected in a regional sampling network with three sites in Hong Kong and four sites in the adjacent inland
Pearl River Delta (PRD) or Guangdong Province during four months/seasons from 2002–2003. Trans-boundary transport between
Hong Kong and the inland PRD is inevitable under the influence of Asian monsoon. In summer, Hong Kong serves as the upwind
site of the inland PRD while during other seasons it is under the influence of continental emissions. Previous studies have recognized
the importance of using chemical signatures to differentiate local vs. regional contributions to air pollutants in Hong Kong such as the
CO/NOx ratio, ratios of different VOC species. In this study, detailed chemical speciation by gas chromatography-mass spectrometry
was performed with PM2:5 samples to identify new chemical signatures to distinguish aerosols in Hong Kong from those from the inland
PRD. Since Hong Kong is not influenced by the continental emissions from the inland PRD during summer, comparison focused on
chemical data obtained from this season for chemical signatures. The new ratios developed from the current study include LCPI/HCPI
ratio of alkanes (0.39 0.02 in Hong Kong vs. 0.78 0.08 in the inland PRD), pyrene to benzo[ghi]perylene ratio (0.97 0.21 in
Hong Kong compared to 0.20 0.06 in the inland PRD), and the ratio of 1,2-benzenedioic acid to 1,4-benzenedioic acid (1.8 0.1 in
Hong Kong vs. 0.6 0.05 in the inland PRD). Results from this study also revealed that Hong Kong was impacted by ship emissions
as reflected by substantially high V/Ni ratio (9 2) while this ratio was about 1–2 at all sites in the inland PRD, which is very close to
typical ratios from residual oil combustion. 相似文献
900.