滚石灾害研究现状及发展趋势

滚石是我国西部山区常见的一种地质灾害,它分布范围极广,发生突然,频率高,严重威胁其周围的人类以及各种构筑物.目前,国内外有关滚石的理论研究比较薄弱,以致滚石灾害的防治工作受到严重的影响.基于对国内外大量滚石灾害研究资料的分析,将其研究现状概化为滚石风险分析、滚石运动轨迹、滚石冲击力以及滚石防护等4个方面.据此对滚石研究的发展趋势进行了探讨,以便为滚石灾害的机理研究和治理提供参考依据.     

可变模糊评价法在洪涝灾情评价中的应用

灾情评价实质上是一个模式识别问题.以往的灾情评价模型,虽解决了各单项指标灾情等级评估结果的不相容问题,但往往不能检验所给结果的准确性.基于可变模糊集理论,采用可变模糊评价模型可以科学、合理地确定样本指标对各级指标标准区间的相对隶属度和相对隶属函数,并且能够通过变换参数(α与P)变化模型进行评价.通过对多个评价结果进行比较分析,可以合理地确定出样本的评价等级.同时,由于该模型确定的灾级是连续的实数值,因而提高了灾情等级评价的灾级分辨率.最后将该方法应用于河南省洪涝灾情的综合评价中.应用实例表明,该模型计算简便,评价结果可信度高,可推广应用到其它灾情等级评估中.     

常压立式储油罐地震应力的有限元计算

采用有限元方法 ,考虑在静载和动载共同作用下 ,对常压立式拱顶储油罐的地震应力进行了计算分析 ,给出了轴向应力的分布状态 ;并与相关抗震设计规范中的验算公式得出的结果进行了比较。结果表明 :由于地震的动力作用 ,储油罐的受力状态不是均匀分布 ,出现了峰值和谷值 ,而这些应力峰值大于工业设备抗震鉴定标准和石油化工设备抗震鉴定标准中公式的计算应力值 ,这应引起足够的注意。     

Ambient air monitoring of PCDD/Fs and co-PCBs in Gyeonggi-do, Korea

We started the monitoring for PCDD/Fs in ambient air and soil in August 2001, and co-PCBs in January 2002. Decreasing of PCDD/Fs and co-PCBs levels in ambient air were observed. The higher PCDD/Fs levels were found in winter and lower in autumn. We found that the industrial incinerators influenced the PCDD/Fs levels in ambient air. In the 2,3,7,8-substituted PCDD/Fs concentration profiles, the three major congeners occupied 67% of the total mass. In case of co-PCBs, PCB#118, #105 and #77 were observed as the main congeners. Five cluster groups discriminated by ratio of four components, O(8)CDD, 1,2,3,4,6,7,8-H(7)CDD, 1,2,3,4,6,7,8-H(7)CDF and O(8)CDF, were obtained from HCA (hierarchical cluster analysis).     

垃圾填埋场稳定化及其研究现状

文章对直埋场稳定化过程进行了初步描述,并从填埋气、渗滤液、垃圾组成和沉降等４个方面总结了填埋场稳定化的研究现状。     

Deep learning architecture for air quality predictions

With the rapid development of urbanization and industrialization, many developing countries are suffering from heavy air pollution. Governments and citizens have expressed increasing concern regarding air pollution because it affects human health and sustainable development worldwide. Current air quality prediction methods mainly use shallow models; however, these methods produce unsatisfactory results, which inspired us to investigate methods of predicting air quality based on deep architecture models. In this paper, a novel spatiotemporal deep learning (STDL)-based air quality prediction method that inherently considers spatial and temporal correlations is proposed. A stacked autoencoder (SAE) model is used to extract inherent air quality features, and it is trained in a greedy layer-wise manner. Compared with traditional time series prediction models, our model can predict the air quality of all stations simultaneously and shows the temporal stability in all seasons. Moreover, a comparison with the spatiotemporal artificial neural network (STANN), auto regression moving average (ARMA), and support vector regression (SVR) models demonstrates that the proposed method of performing air quality predictions has a superior performance.     

Evaluating anthropogenic N inputs to diverse lake basins: A case study of three Chinese lakes

The environmental degradation of lakes in China has become increasingly serious over the last 30 years and eutrophication resulting from enhanced nutrient inputs is considered a top threat. In this study, a quasi-mass balance method, net anthropogenic N inputs (NANI), was introduced to assess the human influence on N input into three typical Chinese lake basins. The resultant NANI exceeded 10 000 kg N km⁻² year⁻¹ for all three basins, and mineral fertilizers were generally the largest sources. However, rapid urbanization and shrinking agricultural production capability may significantly increase N inputs from food and feed imports. Higher percentages of NANI were observed to be exported at urban river outlets, suggesting the acceleration of NANI transfer to rivers by urbanization. Over the last decade, the N inputs have declined in the basins dominated by the fertilizer use but have increased in the basins dominated by the food and feed import. In the foreseeable future, urban areas may arise as new hotspots for nitrogen in China while fertilizer use may decline in importance in areas of high population density.

Electronic supplementary material

The online version of this article (doi:10.1007/s13280-015-0638-8) contains supplementary material, which is available to authorized users.