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801.
为了对电网遭受雷击灾害风险进行研究,以高压输电线路多个雷害影响因子为出发点对其进行归类,解决了以单因子雷击跳闸率作为高压输电线路遭受雷害评价指标的不足。采用AHP(层次分析法)-FUZZY(模糊数学理论)对电网雷害风险展开评估分级,引入某地500 k V电网工程实例,成功将该地电网雷害风险等级定为Ⅲ级中等雷害风险。为验证AHP-FUZZY法对电网雷害风险进行评估的准确性及可靠度,采用SVM(支持向量机)理论对工程实例进行分析计算,结果相关性系数R2为0.932,预测错误率为0,表明本次风险评估是可靠的,能够为电网雷害风险研究提供较大的理论与实际支撑。 相似文献
802.
基于局部线性嵌入(Locally Linear Embedding,LLE)算法和极限学习机(Extreme Learning Machine,ELM)神经网络建立矿井瓦斯涌出量预测模型,该预测模型运用LLE算法对矿井瓦斯涌出量影响因素样本进行数据挖掘,得到降维后的有效因子,再将这些有效因子作为ELM神经网络的输入层进行训练和预测。利用某矿井的实测数据进行实例分析,结果表明该预测模型预测速度快,精度高,能够用于矿井瓦斯涌出量预测。 相似文献
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Robert Bogucki Marek Cygan Christin Brangwynne Khan Maciej Klimek Jan Kanty Milczek Marcin Mucha 《Conservation biology》2019,33(3):676-684
Photo identification is an important tool for estimating abundance and monitoring population trends over time. However, manually matching photographs to known individuals is time-consuming. Motivated by recent developments in image recognition, we hosted a data science challenge on the crowdsourcing platform Kaggle to automate the identification of endangered North Atlantic right whales (Eubalaena glacialis). The winning solution automatically identified individual whales with 87% accuracy with a series of convolutional neural networks to identify the region of interest on an image, rotate, crop, and create standardized photographs of uniform size and orientation and then identify the correct individual whale from these passport-like photographs. Recent advances in deep learning coupled with this fully automated workflow have yielded impressive results and have the potential to revolutionize traditional methods for the collection of data on the abundance and distribution of wild populations. Presenting these results to a broad audience should further bridge the gap between the data science and conservation science communities. 相似文献
808.
介绍一种通过用粒状活性炭处理水样并采用紫外分光光度法快速测定水中硝酸盐氮的方法,用粒状活性炭处理水样以消除干扰,使水中硝酸盐氮得到了快速而又准确的测定。 相似文献
809.
Test procedure for evaluating the human–machine interface of vehicles with automated driving systems
Frederik Naujoks Sebastian Hergeth Katharina Wiedemann Nadja Schömig Yannick Forster Andreas Keinath 《Traffic injury prevention》2019,20(4):S146-S151
AbstractObjective: The human–machine interface (HMI) is a crucial part of every automated driving system (ADS). In the near future, it is likely that—depending on the operational design domain (ODD)—different levels of automation will be available within the same vehicle. The capabilities of a given automation level as well as the operator’s responsibilities must be communicated in an appropriate way. To date, however, there are no agreed-upon evaluation methods that can be used by human factors practitioners as well as researchers to test this.Methods: We developed an iterative test procedure that can be applied during the product development cycle of ADS. The test procedure is specifically designed to evaluate whether minimum requirements as proposed in NHTSA’s automated vehicle policy are met.Results: The proposed evaluation protocol includes (a) a method to identify relevant use cases for testing on the basis of all theoretically possible steady states and mode transitions of a given ADS; (b) an expert-based heuristic assessment to evaluate whether the HMI complies with applicable norms, standards, and best practices; and (c) an empirical evaluation of ADS HMIs using a standardized design for user studies and performance metrics.Conclusions: Each can be used as a stand-alone method or in combination to generate objective, reliable, and valid evaluations of HMIs, focusing on whether they meet minimum requirements. However, we also emphasize that other evaluation aspects such as controllability, misuse, and acceptance are not within the scope of the evaluation protocol. 相似文献
810.
China has been trying to improve the safety and environmental performances of small coal mines (SCMs) in 2000s through measures of trusteeship and consolidation. The question whether such policy and practice can sustain small scale mining is interesting academically and important practically for China and the world. This paper finds that the Chinese SCM policy has been switched from encouragement to restriction for legal SCMs and from privatization to nationalization in some provinces in the past 10 years. Legal SCMs face pressure to be expanded continuously and to be absorbed or consolidated by large coal mines, which often are state owned. Unexpectedly, financial resources may not be a big constraint nowadays due to availability of private equity investment resources. The paper argues that both the trusteeship and consolidation approaches may only be able to sustain SCMs in the short run. A more sustainable measure is to establish a stable, transparent and inclusive legal and fiscal framework. This paper concludes that those trusteeship approaches may be applicable to restructuring small scale mines in other countries; however, the consolidation practice in China's is unique and thus may not be applicable to others. 相似文献