氟化物对酸浸取沸腾炉渣中铝的影响

采用酸浸取法、加入助溶剂浸取沸腾炉渣中的铝,考察了各种因素对铝浸出率的影响。实验结果表明：在球磨时间为30min、固液比（沸腾炉渣质量与酸体积之比）为1：7、硫酸浓度为4mol／L、浸取温度为107℃、浸取时间为120min的条件下,铝浸出率最高（为29．72％）;KF,NH4F,NaF,CaF2等作助溶剂可明显提高铝浸出率,且助溶剂为CaF：时的铝浸出率最高,CaF2与沸腾炉渣的质量比为0．08时的铝浸出率大于75％。     

Efficient photoreduction of carbon dioxide into carbon-based fuels: a review

Environmental Chemistry Letters - The photocatalytic transformation of carbon dioxide into fuels is viewed as a promising solution to lessen global warming and to enter a circular economy, yet this...     

强电磁脉冲环境下计算机设备的防护

探讨了强电磁脉冲对计算机设备的损伤机理和破坏作用,介绍了国内外在强电磁脉冲防护领域的研究发展状况,对计算机脉冲防护技术和措施做了详尽的介绍.结合国内外研究现状和发展趋势,建议加强相关领域的研究,并指出今后的研究方向,以提高强电磁脉冲环境下计算机设备的生存能力.     

溴代甲烷在253.7nm条件下的光氧化机理及其对臭氧光解损耗影响的动力学

本文研究了在２５３．７ｎｍ的紫外光照条件下,ＣＨ３Ｂｒ,ＣＨ２Ｂｒ２以及ＣＨ３Ｂｒ＋Ｏ２／Ｏ３物ＣＨ２Ｂｒ３＋Ｏ２／Ｏ３等体系的光化学反应过程,通过ＦＴＩＲ以及ＵＶ－Ｖｉｓ对产物进行了分析。并提出反应机理予以解释。     

Dynamic response of the scenic beauty value of different forests to various thinning intensities in central eastern China

Forest management has a significant influence on the preferences of people for forest landscapes. This study sought to evaluate the dynamic effects of thinning intensities on the landscape value of forests over time. Five typical stands in Wuxiangsi National Forest Park in Nanjing, China, were subjected to a thinning experiment designed with four intensities: unthinned, light thinning, moderate thinning, and heavy thinning. People’s preferences for landscape photographs taken in plots under various thinning intensities were assessed through scenic beauty estimation (SBE) at 2 and 5 years after thinning. The differences in scenic beauty value between different thinning intensities were then analyzed with a paired samples t test for the two periods. The results indicated that the landscape value of all of the thinned plots significantly exceeded that of the unthinned plots 2 years after thinning (p?相似文献   

Vegetation dynamics during different abandoned year spans in the land of the Loess Plateau of China

In this semi-arid area, many studies focused on the two-phase vegetation pattern were carried out to explore a changing vegetation trajectory on degraded land. However, this study conducted an analysis of a two-phase vegetation pattern and explored the successional vegetation trajectories in a positive succession without disturbance. In this work, 60 randomly distributed plots (1?×?1 m) were invested on four abandoned land areas (4-, 12-, 22-, and 50-year abandoned land) to determine attributes of vegetation, and soil physical and nutritional properties. It was found that vegetation distribution development went from homogeneous on 4-year abandoned land to heterogeneous on 50-year abandoned land, with a positive succession. Meanwhile, there was a significant difference in soil physical and nutritional properties for the inside and outside of vegetation patches. Vegetation patches can supply better soil physical and nutritional properties for vegetation than bare patches along the abandoned time. Vegetation diversity changes without a regular trend which may be due to the effect of environment and interspecies competition. This work picked up the slack for vegetation patterns succession research and provided a quantitative analysis approach.     

Using a neural network approach and time series data from an international monitoring station in the Yellow Sea for modeling marine ecosystems

The international marine ecological safety monitoring demonstration station in the Yellow Sea was developed as a collaborative project between China and Russia. It is a nonprofit technical workstation designed as a facility for marine scientific research for public welfare. By undertaking long-term monitoring of the marine environment and automatic data collection, this station will provide valuable information for marine ecological protection and disaster prevention and reduction. The results of some initial research by scientists at the research station into predictive modeling of marine ecological environments and early warning are described in this paper. Marine ecological processes are influenced by many factors including hydrological and meteorological conditions, biological factors, and human activities. Consequently, it is very difficult to incorporate all these influences and their interactions in a deterministic or analysis model. A prediction model integrating a time series prediction approach with neural network nonlinear modeling is proposed for marine ecological parameters. The model explores the natural fluctuations in marine ecological parameters by learning from the latest observed data automatically, and then predicting future values of the parameter. The model is updated in a “rolling” fashion with new observed data from the monitoring station. Prediction experiments results showed that the neural network prediction model based on time series data is effective for marine ecological prediction and can be used for the development of early warning systems.     

The temporal changes in road stormwater runoff quality and the implications to first flush control in Chongqing, China

This study investigates the quality of stormwater runoff from a driveway in the southwest mountainous urban area of Chongqing, China, from 2010 to 2011. The results showed that the mean concentrations of chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) were 4.1, 2.4, and 2.2 times the grade V levels of the national surface water standard of China. The pollutant concentration peak preceded or synchronized with the rainfall intensity peak and occurred 10 min after the runoff started. The significant high pollutant concentration in the initial stage of the rainfall suggested that first flush control is necessary, especially for the most polluted constitutes, such as total suspended solids, COD, and TN. Three potential pollution sources were identified: the atmospheric dry and wet deposition (TN, NO₃ ^?-N, NH₄ ⁺-N, and DCu), the road sediment and materials (total suspended solids, COD, and TP), and the vehicle emissions (DPb and DZn). Therefore, this study indicates that reductions in road sediments and material pollution and dry and wet deposition should be the priority factors for pollution control of road stormwater runoff in mountainous urban areas.     

地震灾区分级和灾害程度排序方法研究——以汶川8.0级地震为例

根据汶川8.0级地震震害评估工作的具体实践,探讨了地震灾区分级和灾害程度排序的方法。通过房屋震害系数、强震加速度观测记录、发震构造、地震地质灾害和场地条件、人口分布及伤亡情况等影响因素来确定受灾程度,以烈度区、统计学方法、速报灾情等来确定灾区分级。     

2008年中国大陆地震灾害损失述评

在列出2008年中国5级以上地震目录的基础上,结合有关省(自治区、直辖市)地震局的地震灾害评估资料,总结出2008年中国大陆地震灾害的主要数据和特性。最后对1990-2008年中国大陆地震灾害的相应数据进行了简要的比较分析。