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着重研究了在限制有机物排放总量时,使其运行费用最低的最优周期控制问题.通过增加新的状态变量和用补偿函数法,将本课题的有约束条件问题化为无约束条件问题,并提出了最优步长参数的动态搜索法来修改传统的梯度法,从而较完善地解决了多变量最优周期控制的计算问题.研究中还发现了不同初始条件下最优控制所需要的运行费用也大不相同,进而提出了最优初始状态下最优周期控制的新概念,这对保证出水质量的同时进一步降低污水处理成本来说具有更重要的意义.本文还强调指出:对于尚不具备实现最优控制条件的处理系统,可根据最优控制的研究结果实现具有广泛实用价值的准最优控制. 相似文献
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Kenneth E. Hyer Douglas L. Mayer 《Journal of the American Water Resources Association》2004,40(6):1511-1526
ABSTRACT: Surface water impairment by fecal coliform bacteria is a water quality issue of national scope and importance. In Virginia, more than 400 stream and river segments are on the Commonwealth's 2002 303(d) list because of fecal coliform impairment. Total maximum daily loads (TMDLs) will be developed for most of these listed streams and rivers. Information regarding the major fecal coliform sources that impair surface water quality would enhance the development of effective watershed models and improve TMDLs. Bacterial source tracking (BST) is a recently developed technology for identifying the sources of fecal coliform bacteria and it may be helpful in generating improved TMDLs. Bacterial source tracking was performed, watershed models were developed, and TMDLs were prepared for three streams (Accotink Creek, Christians Creek, and Blacks Run) on Virginia's 303(d) list of impaired waters. Quality assurance of the BST work suggests that these data adequately describe the bacteria sources that are impairing these streams. Initial comparison of simulated bacterial sources with the observed BST data indicated that the fecal coliform sources were represented inaccurately in the initial model simulation. Revised model simulations (based on BST data) appeared to provide a better representation of the sources of fecal coliform bacteria in these three streams. The coupled approach of incorporating BST data into the fecal coliform transport model appears to reduce model uncertainty and should result in an improved TMDL. 相似文献
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本文对非工业场所-写字楼的消防安全需求进行了总结,引入了整体消防安全理念,概述了现有写字楼提升消防安全的要求,指出了采用消防工程手段的必要性. 相似文献
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Geling Wang 《中国人口.资源与环境(英文版)》2016,14(1):30-37
Based on the survey data of typical villages in Shaanxi Province, China, the effect of social capital on the income gap of farmers’ households was analyzed using the Shapley value of the total amount of social capital and the social capital structure. The results show the following: first, social capital can expand the household income gap, and the effect of this index on the household income gap is 7.54%. Second, the indexes of the social capital dimension can expand the household income gap, and the structural effects of the household income gap on social networks, social trust, and social participation are 3.17%, 3.64%, and 0.65%, respectively. Third, no dimension of the path is the same as the effect on the household income gap. 相似文献
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Christian Brandstätter David Laner Roman Prantl Johann Fellner 《Waste management (New York, N.Y.)》2014,34(12):2537-2547
Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies. 相似文献
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