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51.
安全等级特征量及其计算方法 总被引:17,自引:2,他引:15
指出了目前用模糊评价法确定系统的安全等级所存在的问题和不足之处。分别运用模糊随机变量理论和模糊集理论而提出了安全等级模糊随机特征量和安全等级模糊特征量的概念及其计算方法。安全等级特征量及安全等级变量,均为安全等级取值论域上的模糊子集,而并非是一个确定的点。还给出了安全等级的绝对可能性和相对可能性的计算方法。实例表明,笔者所提出的安全等级特征量及可能性的计算方法是科学的、合理的 相似文献
52.
小城镇灾害易损性分析与评估 总被引:7,自引:0,他引:7
随着我国城镇化进程的加快 ,小城镇的防灾减灾问题逐步引起社会的关注 ,而小城镇易损度分析和评价是灾害危险性评价的重要组成部分 ,也是小城镇决策部门制定防灾减灾规划的重要依据 ;笔者在综合分析了小城镇的自然易损性、经济易损性及社会易损性的基础上 ,选取相应的灾害指标和社会经济指标 ,应用多级模糊综合评判方法 ,对小城镇的易损程度作出了评估 ,从而为小城镇制定相应防灾、减灾对策提供科学依据。 相似文献
53.
54.
Fuzzy cognitive mapping was used to develop a participatory ecosystem management plan for Uluabat Lake, Turkey. Interviews
were conducted with stakeholders belonging to six different groups. Lake pollution was the most central and most mentioned
variable for stakeholders. Stakeholder groups agree that lake pollution is negatively affecting ecosystem health and thereby
local economies. Thus, reducing lake pollution was chosen as the overall goal for the management plan. Possible ways to reduce
lake pollution and increase ecosystem health were seen differently by the different groups. Hunters, factory managers, NGO
personnel, and local people thought industry was the main cause of lake pollution, while officials from the government and
local municipalities thought roads and urban development contributed the most to lake pollution. Generally the stakeholder
groups did not perceive their own actions as affecting the lake as strongly as other groups thought. For example, factory
managers viewed factory pollution as negatively affecting the lake but less strongly than the other groups did. According
to policy option simulations, reducing lake pollution had positive effects on all variables, especially fish, birds, animal
husbandry, irrigation, agriculture, and the ecological balance of the lake. Results of this analysis were used to facilitate
meetings among stakeholder groups and to develop a participatory ecosystem management plan. The analysis was useful for pointing
out the similarities as well as the differences among the groups. It also helped the facilitators understand the focus of
each stakeholder group and enabled them to suggest activities in which each group would want to participate. 相似文献
55.
A relative significance factor (f
i
) of an impact category is the external weight of the impact category. The objective of this study is to propose a systematic
and easy-to-use method for the determination of f
i
. Multiattribute decision-making (MADM) methods including the analytical hierarchy process (AHP), the rank-order centroid
method, and the fuzzy method were evaluated for this purpose. The results and practical aspects of using the three methods
are compared. Each method shows the same trend, with minor differences in the value of f
i
. Thus, all three methods can be applied to the determination of f
i
. The rank order centroid method reduces the number of pairwise comparisons by placing the alternatives in order, although
it has inherent weakness over the fuzzy method in expressing the degree of vagueness associated with assigning weights to
criteria and alternatives. The rank order centroid method is considered a practical method for the determination of f
i
because it is easier and simpler to use compared to the AHP and the fuzzy method. 相似文献
56.
This paper describes a fuzzy hierarchical analytic approach to determine the weighting of subjective judgments. In addition,
it presents a nonadditive fuzzy integral technique to evaluate a green engineering industry case as a fuzzy multicriteria
decision-making (FMCDM) problem. When the investment strategies are evaluated from various aspects, such as economic effectiveness,
technical feasibility, and environmental regulation, it can be regarded as an FMCDM problem. Since stakeholders cannot clearly
estimate each considered criterion in terms of numerical values for the anticipated alternatives/strategies, fuzziness is
considered to be applicable. Consequently, this paper uses triangular fuzzy numbers to establish weights and anticipated achievement
values. By ranking fuzzy weights and fuzzy synthetic utility values, we can determine the relative importance of criteria
and decide the best strategies. This paper applies what is called a λ fuzzy measure and nonadditive fuzzy integral technique
to evaluate the synthetic performance of green engineering strategies for aquatic products processors in Taiwan. In addition,
we demonstrate that the nonadditive fuzzy integral is an effective evaluation and appears to be appropriate, especially when
the criteria are not independent. 相似文献
57.
杨厦 《中国环境管理干部学院学报》2007,17(2):102-104
在我国全面实施素质教育的新形势下,时代赋予了数学教育新的使命。数学教育,一方面具有逻辑严密性、结论可靠性及应用广泛性等科学功能;另一方面又具有陶冶情操、完善个性、培养学生理性思维和创造意识等文化功能。 相似文献
58.
水环境质量评价3种方法的应用对比 总被引:6,自引:0,他引:6
从众多水质评价方法中选取单项指数法、加权均值型指数法、模糊数学法进行介绍,并通过运用这3种方法对大汶河某年监测数据的平均值进行评价.经对比分析发现,加权均值型指数法是一种比较实用的水质评价方法,模糊数学法可以作为必要的补充. 相似文献
59.
Krishan P. Singh 《Journal of the American Water Resources Association》1976,12(2):381-392
ABSTRACT. Unit hydrographs derived by using two methods, linear programming and least squares, are compared. Test data comprise rainfall and runoff information from four storms over the North Branch Potomac River near Cumberland, Maryland. The mathematical bases of these methods for unit-hydrograph derivation are explained. The linear programming method minimizes the sum of absolute deviations, and the least squares method minimizes the sum of the squares of deviations. Computer subroutines are readily available for application of these methods. The unit hydrographs derived with the two methods are practically the same for storms 2 and 3, but differ somewhat for storms 1 and 4. However, the reconstituted direct surface runoff hydrographs are similar to those observed with the exception of the hydrograph for storm 4 which had a relatively more non-uniform rainfall excess of a considerably larger duration. 相似文献
60.
Uncertainty plays an important role in water quality management problems. The major sources of uncertainty in a water quality management problem are the random nature of hydrologic variables and imprecision (fuzziness) associated with goals of the dischargers and pollution control agencies (PCA). Many Waste Load Allocation (WLA) problems are solved by considering these two sources of uncertainty. Apart from randomness and fuzziness, missing data in the time series of a hydrologic variable may result in additional uncertainty due to partial ignorance. These uncertainties render the input parameters as imprecise parameters in water quality decision making. In this paper an Imprecise Fuzzy Waste Load Allocation Model (IFWLAM) is developed for water quality management of a river system subject to uncertainty arising from partial ignorance. In a WLA problem, both randomness and imprecision can be addressed simultaneously by fuzzy risk of low water quality. A methodology is developed for the computation of imprecise fuzzy risk of low water quality, when the parameters are characterized by uncertainty due to partial ignorance. A Monte-Carlo simulation is performed to evaluate the imprecise fuzzy risk of low water quality by considering the input variables as imprecise. Fuzzy multiobjective optimization is used to formulate the multiobjective model. The model developed is based on a fuzzy multiobjective optimization problem with max–min as the operator. This usually does not result in a unique solution but gives multiple solutions. Two optimization models are developed to capture all the decision alternatives or multiple solutions. The objective of the two optimization models is to obtain a range of fractional removal levels for the dischargers, such that the resultant fuzzy risk will be within acceptable limits. Specification of a range for fractional removal levels enhances flexibility in decision making. The methodology is demonstrated with a case study of the Tunga–Bhadra river system in India. 相似文献