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11.
《环境科学学报(英文版)》2023,35(2):42-49
Growing studies have linked metal exposure to diabetes risk. However, these studies had inconsistent results. We used a multiple linear regression model to investigate the sex-specific and dose-response associations between urinary metals (cobalt (Co) and molybdenum (Mo)) and diabetes-related indicators (fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), homeostasis model assessment for insulin resistance (HOMA-IR), and insulin) in a cross-sectional study based on the United States National Health and Nutrition Examination Survey. The urinary metal concentrations of 1423 eligible individuals were stratified on the basis of the quartile distribution. Our results showed that the urinary Co level in males at the fourth quartile (Q4) was strongly correlated with increased FPG (β = 0.61, 95% CI: 0.17–1.04), HbA1c (β = 0.31, 95% CI: 0.09–0.54), insulin (β = 8.18, 95% CI: 2.84–13.52), and HOMA–IR (β = 3.42, 95% CI: 1.40–5.44) when compared with first quartile (Q1). High urinary Mo levels (Q4 vs. Q1) were associated with elevated FPG (β = 0.46, 95% CI: 0.17–0.75) and HbA1c (β = 0.27, 95% CI: 0.11–0.42) in the overall population. Positive linear dose-response associations were observed between urinary Co and insulin (Pnonlinear = 0.513) and HOMA–IR (Pnonlinear = 0.736) in males, as well as a positive linear dose-response relationship between urinary Mo and FPG (Pnonlinear = 0.826) and HbA1c (Pnonlinear = 0.376) in the overall population. Significant sex-specific and dose-response relationships were observed between urinary metals (Co and Mo) and diabetes-related indicators, and the potential mechanisms should be further investigated. 相似文献
12.
The coastal seawater of Mediterranean of Alexandria receives large amount of discharged waters containing industrial wastes, sewage, and agricultural and domestic drainage. Fluoride and some parameters were(chemical and physical) determined. The data gave indication that the content and the amount of the discharged water largely affect the chemical composition of the coastal water. Stepwise regression analysis was highly significant and the model was very fruitful, where the observed and calculated values were mostly concordant. This may indicated that there was a relation between fluoride content in coastal seawater and its content in the discharged water. 相似文献
13.
Introduction The eutrophication of fresh w ater has becom e a m ain w ater environm ental problem in the w orld. The m ain negative im pacts of fresh w ater eutrophication are w ater quality deterioration and the decrease of hydrophytes and aquatic specie… 相似文献
14.
袁宇 《辽宁城乡环境科技》2002,22(3):19-21
运用多元回归性,通过预测模型的选择、基础数据系列化、回归模型的建立和回归效果的检验,建立了化学污染危害面积、纵深与诸条件的关系,达到了快速估算的目的,是突出性化学环境污染危害预测的一种方法。 相似文献
15.
本文通过分析宁夏盐池县的自然条件、自然资源以及社会经济发展与环境的关系,应用权图影响结构模型对该县社会经济与环境系统进行了定量的分析与研究。建立了7个模型,并通过预测、比较实施不同发展策略后各模型的系统状态,找出了使系统优化运行的灵敏调控点,分析了各分项调整策略之间相互制约、相互促进的关系,提出了使该县社会经济与环境协调发展的策略。 相似文献
16.
西部地区经济发展与水环境质量的相关分析 总被引:1,自引:0,他引:1
认识经济发展与水环境污染的关系,以求西部地区经济与环境的协调发展。文章运用环境库兹涅茨理论和自回归分析模型,对1995~2004年我国西部地区人均GDP与废水排放量的分析,可知西部地区的人均GDP增加1%,则污水排放量增加0.582%,经济发展伴随着水环境质量的持续恶化,说明西部地区目前处于环境库兹涅茨曲线的左半部分。因此有必要加强对水环境的规制和治理,改善经济发展和水环境质量之间的这种两难关系。还表明自回归模型对于西部地区水环境质量的预测也是有效的。 相似文献
17.
John Van Sickle 《Journal of the American Water Resources Association》2003,39(3):717-726
ABSTRACT: Bivariate correlation analysis has been widely used to explore relationships between stream and watershed attributes that have all been measured on the same set of watersheds or sampling locations. Researchers routinely test H0: ρ= 0 for each correlation in a large table and then go on to discuss only those that are declared “significant.” Such test results are inaccurate because no allowance is made for multiple testing, and also because the tests are not mutually independent. This paper reviews the Bonferroni approach to controlling the overall error rate in multiple testing and shows how the approach becomes impractical for large correlation tables. The Hotelling/Williams test is introduced for comparing two dependent correlations that share a variable, and numerical constraints for two such correlations are illustrated. References are also given for testing other hypothesized patterns among dependent correlations, and links to dependent correlation software are provided. The methods are illustrated for watershed and stream variables sampled in 23 small agricultural watersheds of the Willamette Valley, Oregon. 相似文献
18.
滑坡灾害危险性评价模型比较 总被引:11,自引:0,他引:11
通过对庆元地区滑坡灾害的详细研究,比较讨论了单变量评价、决策树评价与逻辑回归法等3种滑坡危险性评价模型在实际应用中的效果。单变量模型最为简单,计算方便,得到的结果也具有较高的准确性,当收集到的滑坡因素越多,对滑坡发育的刻画越精确,则最终评价结果也越可信;决策树算法能迅速从大量样本中归纳出一般规则,并具有较高的精度,但其结果也受到训练样本数量大小和样本维数即参与评价的因素集数量的影响;逻辑回归模型具有计算方法简单、评价结果物理意义明确等突出优点,但需要有大量样本数据的支持才能取得较好的效果。 相似文献
19.
20.
Ashu Jain Lindell E. Ormsbee 《Journal of the American Water Resources Association》2004,40(6):1617-1630
ABSTRACT: This paper presents the findings of a study aimed at evaluating the available techniques for estimating missing fecal coliform (FC) data on a temporal basis. The techniques investigated include: linear and nonlinear regression analysis and interpolation functions, and the use of artificial neural networks (ANNs). In all, seven interpolation, two regression, and one ANN model structures were investigated. This paper also investigates the validity of a hypothesis that estimating missing FC data by developing different models using different data corresponding to different dynamics associated with different trends in the FC data may result in a better model performance. The FC data (counts/100 ml) derived from the North Fork of the Kentucky River in Kentucky were employed to calibrate and validate various models. The performance of various models was evaluated using a wide variety of standard statistical measures. The results obtained in this study are able to demonstrate that the ANNs can be preferred over the conventional techniques in estimating missing FC data in a watershed. The regression technique was not found suitable in estimating missing FC data on a temporal basis. Further, it has been found that it is possible to achieve a better model performance by first decomposing the whole data set into different categories corresponding to different dynamics and then developing separate models for separate categories rather than developing a single model for the composite data set. 相似文献