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841.
Paraschos Maniatis; 《Sustainable Development》2024,32(5):4977-4991
This paper discusses the importance of quality education in the field of sustainability. The paper highlights four different types of education related to sustainability, including environmental sustainability education, social sustainability education, education for sustainable development (SE), and green skills education. The statistical information on these types of education is summarized and presented in a table format. The paper concludes by emphasizing the need for increased access to education in the field of sustainability to prevent environmental degradation and social problems and to prepare individuals for jobs that contribute to sustainable development. 相似文献
842.
Many studies have considered the effect of temperature and a change point in association with increased mortality. However, the relationship between temperature and mortality cannot be described using a parametric model and is highly dependent on the number of change points. Knowing the change points of temperature may prevent further mortality associated with the weather. The current available methods consist of two steps: they first estimate the models and then detect change points without testing. However, the methods for simultaneously identifying the nonlinear relationship and detecting the number of change points are quite limited. Therefore, in this paper, we propose a unified approach simultaneously estimates the nonlinear relationship and detects multichange points. We propose a semiparametric single index multichange points model as our unified approach by adjusting for several other covariates. We also provide a permutation‐based testing procedure to detect multichange points. A criterion for predetermining the maximum possible number of change points is introduced, which is required by the permutation test procedure. Our approach is unaffected by the degree of smoothing of the nonparametric function. Our proposed model is compared to the generalized linear model and generalized additive model using simulation and a real application. Our approach outperforms these models in both model fitting and detection of change point(s). We also show the asymptotic properties of the permutation test for semiparametric single index multichange points model, suggesting that the number of change points is consistent. The advantage of our approach is demonstrated using the mortality data of Seoul, South Korea. 相似文献
843.
John Tipton Mevin Hooten Neil Pederson Martin Tingley Daniel Bishop 《Environmetrics》2016,27(1):42-54
Reconstruction of pre‐instrumental, late Holocene climate is important for understanding how climate has changed in the past and how climate might change in the future. Statistical prediction of paleoclimate from tree ring widths is challenging because tree ring widths are a one‐dimensional summary of annual growth that represents a multi‐dimensional set of climatic and biotic influences. We develop a Bayesian hierarchical framework using a nonlinear, biologically motivated tree ring growth model to jointly reconstruct temperature and precipitation in the Hudson Valley, New York. Using a common growth function to describe the response of a tree to climate, we allow for species‐specific parameterizations of the growth response. To enable predictive backcasts, we model the climate variables with a vector autoregressive process on an annual timescale coupled with a multivariate conditional autoregressive process that accounts for temporal correlation and cross‐correlation between temperature and precipitation on a monthly scale. Our multi‐scale temporal model allows for flexibility in the climate response through time at different temporal scales and predicts reasonable climate scenarios given tree ring width data. Copyright © 2015 John Wiley & Sons, Ltd. 相似文献
844.
Environmental data science is a multi-disciplinary and mature field of research at the interface of statistics, machine learning, information technology, climate and environmental science. The two-part special issue ‘Environmental Data Science’ comprises a set of research articles and opinion pieces led by statisticians who are at the forefront of the field. This editorial identifies and discusses common strands of research that appear in the contributions to Part 1, which largely focus on statistical methodology. These include temporal, spatial and spatio-temporal modeling; statistical computing; machine learning and artificial intelligence; and the critical question of decision-making in the presence of uncertainty. This editorial complements that of Part 2, which largely focuses on applications; see Burr, Newlands, and Zammit-Mangion (2023). 相似文献
845.
We introduce a flexible and scalable class of Bayesian geostatistical models for discrete data, based on nearest-neighbor mixture processes (NNMP), referred to as discrete NNMP. To define the joint probability mass function (pmf) over a set of spatial locations, we build from local mixtures of conditional pmfs using a directed graphical model, with a directed acyclic graph that summarizes the nearest neighbor structure. The approach supports direct, flexible modeling for multivariate dependence through specification of general bivariate discrete distributions that define the conditional pmfs. In particular, we develop a modeling and inferential framework for copula-based NNMPs that can attain flexible dependence structures, motivating the use of bivariate copula families for spatial processes. Moreover, the framework allows for construction of models given a pre-specified family of marginal distributions that can vary in space, facilitating covariate inclusion. Compared to the traditional class of spatial generalized linear mixed models, where spatial dependence is introduced through a transformation of response means, our process-based modeling approach provides both computational and inferential advantages. We illustrate the methodology with synthetic data examples and an analysis of North American Breeding Bird Survey data. 相似文献
846.
Sustainable development is an important strategy promoted by the United Nations World Tourism Organization (UNWTO) and governments of many destinations. However, the seeming contradiction about the environment vis‐à‐vis business interests may result in noncompliant responses to the environmental policies and regulations and hinder implementation of strategies for improved sustainability. Using resource‐based theory, we empirically test the influence of environmental competitiveness on tourism growth. Using a biennial dataset from 130 destinations between 2009 and 2017, the current work applies the fixed effect (FE) and threshold models to identify a strong link for developed destinations but a weak link for less developed regions. Several indicators of environmental competitiveness significantly affect tourism demand for destinations with high GDP per capita; the effects are not significant, however, for low GDP per capita destinations. These findings demonstrate that environmental factors are important influencers of destination competitiveness and are positively linked to economic performance of developed destinations. The connection between environmental competitiveness and tourism growth in less developed destinations seems weak and insignificant. A possible reason could be that such destinations lack the capital guarantee to translate environmental competitiveness into tourism demand. This article extends the resource‐based theory from the corporate level into the destination level and theoretically contributes to the sustainable tourism literature. Our findings provide the UNWTO and destination governments with empirical evidence to support their sustainable strategies and with suggestions concerning how to strengthen the environment‐performance link for less developed destinations. 相似文献
847.
Assunta Di Vaio;Giuseppe Dell'Amura;Meghna Chhabra;Antonio Garofalo; 《Sustainable Development》2024,32(6):6686-6702
The relationship between the practices and initiatives governing “waste production models” (sustainable development goal [SDG]12) and marine biodiversity goals (SDG14) is relatively unexplored. Aiming to bridge this gap by drawing on stakeholder and legitimacy theories, this study examines onboard cruise ships' circular economy (CE)-based waste management practices and initiatives, correlating SGDs 12 and 14. Consequently, Carnival Corporation Plc's 2020–2022 sustainability reports are analyzed using content analysis by both Leximancer software (ver. 5.0) and manual methods. The results highlight the corporation's increasing commitment to green technologies for “waste production models” to achieve SDG14. However, its sustainability reports provide unclear evidence of the impact on marine biodiversity. Findings implies that practitioners should partner and invest in green technologies for “waste production models” to achieve SDG14. Besides being the first to explore the link between the two SDGs within the CE framework, this study advances insights into waste management within “waste production models,” enhancing the understanding of sustainable practices. 相似文献
848.
A hierarchical Bayesian model is proposed to quantify the magnitude of extreme surges on the Atlantic coast of Canada with limited data. Generalized extreme value distributions are fitted to surges derived from water levels measured at 21 buoys along the coast. The parameters of these distributions are linked together through a Gaussian field whose mean and variance are driven by atmospheric sea‐level pressure and the distance between stations, respectively. This allows for information sharing across the original stations and for interpolation anywhere along the coast. The use of a copula at the data level of the hierarchy further accounts for the dependence between locations, allowing for inference beyond a site‐by‐site basis. It is shown how the extreme surges derived from the model can be combined with the tidal process to predict potentially catastrophic water levels. 相似文献
849.
《Environmetrics》2018,29(1)
It is our primary focus to study the spatial distribution of disease incidence at different geographical levels. Often, spatial data are available in the form of aggregation at multiple scale levels such as census tract, county, and state. When data are aggregated from a fine (e.g., county) to a coarse (e.g., state) geographical level, there will be loss of information. The problem is more challenging when excessive zeros are available at the fine level. After data aggregation, the excessive zeros at the fine level will be reduced at the coarse level. If we ignore the zero inflation and the aggregation effect, we could get inconsistent risk estimates at the fine and coarse levels. Hence, in this paper, we address those problems using zero‐inflated multiscale models that jointly describe the risk variations at different geographical levels. For the excessive zeros at the fine level, we use a zero‐inflated convolution model, whereas we consider a regular convolution model for the smoothed data at the coarse level. These methods provide a consistent risk estimate at the fine and coarse levels when high percentages of structural zeros are present in the data. 相似文献
850.
《Sustainable Development》2017,25(6):546-558
Since sustainable consumption (SC) research focuses primarily on consumer purchasing behaviors, there is a gap regarding how firms attempt to shape sustainable consumption in practice. Utilizing nine case studies, this gap is addressed by exploring the use of value propositions entailing product–service systems among Swedish fashion firms. The value propositions in use by the firms suggest that sustainable consumption may be extending beyond purchase to also include aspects of use and disposal, suggesting new reciprocal responsibilities for firms and consumers. Similarities are found in what elements firms incorporate in their value propositions (i.e. more sustainable textiles, repair and take‐back systems), but differences in how these are elaborated, testifying to the inter‐organizational dynamics that embed practices. The paper ends with the specific caution that take‐back systems may send illusionary signals regarding recycling that legitimize increased consumption and further accelerate material throughput, which would be at odds with notions of strong sustainable consumption. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment 相似文献