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181.
Nutakki Prabhu Kishore Gugulothu Santhosh Kumar 《Environmental science and pollution research international》2022,29(1):70-81
Environmental Science and Pollution Research - This research work aims to investigate the effect of fuel-borne additives when added to mahua methyl ester (MME) blend operated on common rail direct... 相似文献
182.
Kumar Pulkit Pandey Deepak K. Parwani Ajit Kumar Singh Dheeraj K. 《Environmental science and pollution research international》2022,29(18):26409-26424
Environmental Science and Pollution Research - Climate change and global warming are the visible consequences of the increased amount of carbon dioxide (CO2) in the atmosphere. Among the various... 相似文献
183.
Ruhela Mukesh Sharma Kaberi Bhutiani Rakesh Chandniha Surendra Kumar Kumar Vikas Tyagi Kaomud Ahamad Faheem Tyagi Inderjeet 《Environmental science and pollution research international》2022,29(21):31486-31500
Environmental Science and Pollution Research - Mining is a significant part of the transforming economy, which is generally considered as essential as well as social evil at the same time. It is... 相似文献
184.
Bhat Shakeel Ahmad Sher Farooq Kumar Rohitashw Karahmet Emina Haq Syed Anam Ul Zafar Ayesha Lima Eder C. 《Environmental science and pollution research international》2022,29(57):85648-85657
Environmental Science and Pollution Research - Coronavirus refers to a group of widespread viruses. The name refers to the specific morphology of these viruses because their spikes look like a... 相似文献
185.
Singh Sukhbir Hema Sharma Neelam Sachdeva Monika Behl Tapan Zahoor Ishrat Fuloria Neeraj Kumar Sekar Mahendran Fuloria Shivkanya Subramaniyan Vetriselvan Alsubayiel Amal M Dailah Hamed Ghaleb Naved Tanveer Bhatia Saurabh Al-Harrasi Ahmed Aleya Lotfi 《Environmental science and pollution research international》2022,29(49):73809-73827
Environmental Science and Pollution Research - Neurodegeneration is the loss of neuronal capacity and structure over time which causes neurodegenerative disorders like Alzheimer, amyotrophic... 相似文献
186.
The removal of solubilized vat dye effluent using photo detoxification method was studied at various pH ranges. Experiments
were carried out with synthetic effluent using total dye concentrations of 50, 100, 200, 300, and 350 mg/L. In sunlight photo
oxidation, the original soluble vat dye is precipitated and can be filtered and reused by the textile industries. The effect
of the different concentrations (1,000, 2,000, 3,000 mg/L) of total dissolved solids on the removal of vat dye was also carried
out in the photo detoxification process. The efficiency of the dye removal was found to be 99 %. 相似文献
187.
Carolyn Fischer Asbjrn Torvanger Manish Kumar Shrivastava Thomas Sterner Peter Stigson 《Ambio》2012,41(1):33-45
Stabilizing global greenhouse gas concentrations at levels to avoid significant climate risks will require massive “decarbonization” of all the major economies over the next few decades, in addition to the reduced emissions from other GHGs and carbon sequestration. Achieving the necessary scale of emissions reductions will require a multifaceted policy effort to support a broad array of technological and behavioral changes. Change on this scale will require sound, well-thought-out strategies. In this article, we outline some core principles, drawn from recent social science research, for guiding the design of clean technology policies, with a focus on energy. The market should be encouraged to make good choices: pricing carbon emissions and other environmental damage, removing distorting subsidies and barriers to competition, and supporting RD&D broadly. More specific policies are required to address particular market failures and barriers. For those technologies identified as being particularly desirable, some narrower RD&D policies are available. 相似文献
188.
Kattarkandi Byjesh Soora Naresh Kumar Pramod Kumar Aggarwal 《Mitigation and Adaptation Strategies for Global Change》2010,15(5):413-431
Climate change associated global warming, rise in carbon dioxide concentration and uncertainties in precipitation has profound
implications on Indian agriculture. Maize (Zea mays L.), the third most important cereal crop in India, has a major role to play in country’s food security. Thus, it is important
to analyze the consequence of climate change on maize productivity in major maize producing regions in India and elucidate
potential adaptive strategy to minimize the adverse effects. Calibrated and validated InfoCrop-MAIZE model was used for analyzing
the impacts of increase in temperature, carbon dioxide (CO2) and change in rainfall apart from HadCM3 A2a scenario for 2020, 2050 and 2080. The main insights from the analysis are threefold.
First, maize yields in monsoon are projected to be adversely affected due to rise in atmospheric temperature; but increased
rainfall can partly offset those loses. During winter, maize grain yield is projected to reduced with increase in temperature
in two of the regions (Mid Indo-Gangetic Plains or MIGP, and Southern Plateau or SP), but in the Upper Indo-Gangetic Plain
(UIGP), where relatively low temperatures prevail during winter, yield increased up to a 2.7°C rise in temperature. Variation
in rainfall may not have a major impact on winter yields, as the crop is already well irrigated. Secondly, the spatio-temporal
variations in projected changes in temperature and rainfall are likely to lead to differential impacts in the different regions.
In particular, monsoon yield is reduced most in SP (up to 35%), winter yield is reduced most in MIGP (up to 55%), while UIGP
yields are relatively unaffected. Third, developing new cultivars with growth pattern in changed climate scenarios similar
to that of current varieties in present conditions could be an advantageous adaptation strategy for minimizing the vulnerability
of maize production in India. 相似文献
189.
An attempt has been made to produce stable water–diesel emulsion with optimal formulation and process parameters and to evaluate the performance and emission characteristics of diesel engine using this stable water–diesel emulsion. A total of 54 samples were prepared with varying water/diesel ratio, surfactant amount and stirring speed and water separation was recorded after 24 and 48 hr of emulsification. The recorded data were used in artificial neural network (ANN)-particle swarm optimization (PSO) technique to find the optimal parameters to produce water–diesel emulsion for engine testing. The predicted optimal parameters were found as 20% water to diesel ratio, 0.9% surfactant and 2200 rpm of stirrer for a water separation of 14.33% in one day with a variation of 6.54% against the actual value of water separation. Water–diesel emulsion fuel exhibited similar fuel properties as base fuel. The peak cylinder gas pressure, peak pressure rise rate and peak heat release rate for water–diesel were found higher as compared to diesel at medium to full engine loads. The improved air-fuel mixing in water–diesel emulsion enhanced brake thermal efficiency (BTE) of engine. The absorption of heat by water droplets present in water–diesel emulsion led to reduced exhaust gas temperature (EGT). With water–diesel emulsion fuel, the mean carbon monoxide (CO), unburned hydrocarbon and oxides of nitrogen (NOx) emissions reduced by 8.80, 39.60, and 26.11%, respectively as compared to diesel. 相似文献
190.
This review article analyzes the importance of assessing the success of ecological restoration by using four indicators: assemblage of the plant and animal communities; enzyme activity; litter accumulation and decomposition; and the improvement of soil quality. These indicators can be used alone or in combinations. Even though the Society for Ecological Restoration International provided a primer containing nine attributes to use as standards for measuring ecological restoration, only three of these attributes could be easily applied due to their low costs and low time requirements. These three attributes include: diversity, vegetation structure, and ecological processes. This review article emphasizes that the criteria for the selection of the indicator species should be based upon: habitat types, abundance of species, ease of measuring, quantifying and interpreting the results, gradual enhancement with time and cost‐effectiveness, sensitivity, variability of response, size, residential status, and requirements of the area. Principal component analysis was applied to calculate the reclaimed mine soil quality index (RMSQI) and the forest soil quality index (FSQI) and the RMSQI value was compared with FSQI (optimum index value of reference ecosystem) to evaluate the restoration success. Available phosphorus, exchangeable magnesium, organic carbon, clay content, field moisture, available nitrogen, electrical conductivity, and pH are identified as the most influential parameters that regulate the health of reclaimed mine soil. Exchangeable calcium, magnesium, cation exchange capacity, sand, silt, clay content, field moisture, available phosphorus, and pH are the controlling properties for forest soil. The observed values of the above‐stated soil indicator properties were converted into a unitless score (0–1.00) and integrated into index calculations (RMSQI and FSQI). The contribution of each soil indicator properties on the calculated index was analyzed, which provides insight into the reason for the measured index. A higher RMSQI indicates better ecological restoration success. The calculated RMSQI was found to be 0.473 in the reclaimed dump, which is 6% lower than the reference ecosystem. 相似文献