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71.
Kang D Eder BK Stein AF Grell GA Peckham SE McHenry J 《Journal of the Air & Waste Management Association (1995)》2005,55(12):1782-1796
The National Oceanic and Atmospheric Administration recently sponsored the New England Forecasting Pilot Program to serve as a "test bed" for chemical forecasting by providing all of the elements of a National Air Quality Forecasting System, including the development and implementation of an evaluation protocol. This Pilot Program enlisted three regional-scale air quality models, serving as prototypes, to forecast ozone (O3) concentrations across the northeastern United States during the summer of 2002. A suite of statistical metrics was identified as part of the protocol that facilitated evaluation of both discrete forecasts (observed versus modeled concentrations) and categorical forecasts (observed versus modeled exceedances/nonexceedances) for both the maximum 1-hr (125 ppb) and 8-hr (85 ppb) forecasts produced by each of the models. Implementation of the evaluation protocol took place during a 25-day period (August 5-29), utilizing hourly O3 concentration data obtained from over 450 monitors from the U.S. Environment Protection Agency's Air Quality System network. 相似文献
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J.D. de la Rosa A.M. Sánchez de la Campa A. Alastuey X. Querol Y. González-Castanedo R. Fernández-Camacho A.F. Stein 《Atmospheric environment (Oxford, England : 1994)》2010,44(36):4595-4605
In this work we present a detailed study of atmospheric PM10 pollution in Andalusia (Southern Spain) based on geochemical maps. The study includes determination of PM10 levels and bulk chemical composition with samples from 17 representative monitoring stations (rural, urban background, traffic hot spot, and urban zones with industrial influence) during 2007. The knowledge of background levels and concentrations of relevant chemical compounds and elements allows the quantification of the main sources of pollution in relevant cities and sites of ecological interest.In comparison to other stations in Spain and mainland Europe, PM10 in Andalusia is characterized by high levels of crustal matter and secondary inorganic components (SIC). This has been attributed to the following causes: 1) High road traffic and industrial emissions, 2) High frequency of North African air mass outbreaks contributing between 3 and 4 μg m?3 in western Andalusia and 4–7 μg m?3 in eastern Andalusia, and 3) Climate factors such as low rainfall, dry soils favouring resuspension, and high photochemical activity.Atmospheric particulate matter in urban areas located in the vicinity of industrial estates is enriched in secondary inorganic compounds and metals. Three main hot spots have been identified according their high trace element concentrations: Huelva (As, Cu, Zn, Se, and Bi), Strait of Gibraltar (V, Ni, Cr, and Co) and Bailén (V and Ni). The transport of pollutants from cities and industrial estates to areas of ecological interest (e.g. Doñana National Park) has been found to cause the increase in background levels in a number of trace elements (e.g. As) in the air. An important outcome of this study is that geochemical maps of atmospheric matter are a powerful tool for illustrating spatial variation patterns of geochemical components and identifying specific pollution hot spots. 相似文献
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Fragile ecological environment and poverty correlate to and reinforce each other closely in Western China.At the same time,Western China is also the most prominent area of the knowledge and human poverty with very low labor force quality.On the basis of analyzing the characteristics of poverty in Western China,this paper studies the coupling relationship between fragile ecological environment and poverty in Western China,including the impacts of fragile environment on poverty occurrence and the effects of ecological construction on poverty alleviation.It also analyzed how low labor quality causes persistent poverty in the western region.At the end of the paper,strategies of diversity poverty alleviation in Western China are suggested based on sustainable development,including education improvement,ecological construction,industries development,infrastructure construction,planning institution innovation,and so on. 相似文献
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Martha A. Sutula Eric D. Stein Joshua N. Collins A. Elizabeth. Fetscher Ross Clark 《Journal of the American Water Resources Association》2006,42(1):157-175
Wetland rapid assessment methods (RAMs) can provide a cost effective, scientifically defensible estimate of wetland and riparian condition for use in ambient and project monitoring in resource management and regulatory programs. Those who have chosen to develop a RAM to assess wetland and riparian condition are faced with a range of issues and important choices that they must make throughout the development process. This paper is intended as a practical guide to RAM development. Six basic stages in the RAM development process are discussed: (1) organize RAM development by identifying the intended applications, assessment endpoints, and geographic scope of the RAM and forming appropriate teams to advise and review the development process and its products; (2) build a scientific foundation for method development by conducting a literature review, choosing a wetland classification system, building conceptual models, and identifying the major assumptions underlying the model; (3) assemble the method as a system of attributes and metrics that describe a full range of conditions; (4) verify the ability of the method to distinguish between wetlands along a continuum of conditions; (5) calibrate and validate the method against sets of quantitative data representing more intensive measures of wetland condition; and (6) implement the method through outreach and training of the intended users. Important considerations within each of these stages lead to choices in accuracy, precision, robustness, ease of use, and cost. These are identified and the tradeoffs of the various options discussed. Experience with the ongoing development and implementation of the California Rapid Assessment Method (CRAM) is used to illustrate these stages and associated choices in RAM development. 相似文献
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Michael L. Stein 《Environmetrics》2007,18(1):71-86
The Total Ozone Mapping Spectrometer (TOMS) is a satellite‐based instrument that measures total column ozone on a daily basis over a fairly dense spatial grid with near global coverage. Statistical models for the spatial‐temporal variations in total column ozone provide insights into ozone dynamics, are valuable for obtaining inferences on long‐term trends in ozone levels, and can be used to predict ozone levels at unobserved points in space‐time. However, developing such a model is complicated by the seasonally varying nature of the space‐time dependence and the partial confounding of spatial and temporal variation caused by the sun‐synchronous orbit of the satellite. This work considers methods for describing, modeling and estimating the seasonal patterns in the dependence structure for measurements at a single latitude. Applying one of these models to the synoptic prediction of total column ozone at a latitude shows that there is at least the potential for substantially improved predictions by exploiting the high spatial density of observations TOMS provides. Copyright © 2006 John Wiley & Sons, Ltd. 相似文献
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