|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Ambient volatile organic compounds pollution in China显示文摘Owing to rapid economic and industrial development,China has been suffering from degraded air quality and visibility. Volatile organic compounds(VOCs)are important precursors to the formation of ground-level ozone and hence photochemical smog. Some VOCs adversely affect human health. Therefore,VOCs have recently elicited public concern and given new impetus to scientific interest. China is now implementing a series of polices to control VOCs pollution. The key to formulating policy is understanding the ambient VOCs pollution status. This paper mainly analyzes the species,levels,sources,and spatial distributions of VOCs in ambient air. The results show that the concentrations of ambient VOCs in China are much higher than those of developed countries such as the United States and Japan,especial benzene,which exceeds available standards. At the same time,the ozone formation potential(OFP)and secondary organic aerosol formation potential(SOAFP)of various VOCs are calculated. Aromatics and alkenes have much higher OFPs,while aromatics have higher SOAFP. The OFPs of ambient VOCs in the cities of Beijing,Guangzhou and Changchun are very high,and the SOAFP of ambient VOCs in the cities of Hangzhou,Guangzhou and Changchun are higher. | Xinmin Zhang Zhigang Xue Hong Li Li Yan Yuan Yang Yi Wang Jingchun Duan Lei Li Fahe Chai Miaomiao Cheng Weiqi Zhang | 2017 | Journal of Environmental Sciences2017，29，5： | 34 |
| 2 | Exploiting Effective Facial Patches for Robust Gender Recognition显示文摘Gender classification is an important task in automated face analysis. Most existing approaches for gender classification use only raw/aligned face images after face detection as input. These methods exhibit fair classification ability under constrained conditions, in which face images are acquired under similar illumination with similar poses. The performances of these methods may deteriorate when face images show drastic variances in poses and occlusion as routinely encountered in real-world data. The reduction in the performances of current gender classification methods may be attributed to the sensitiveness of features to image translations. This work proposes to alleviate this sensitivity by introducing a majority voting procedure that involves multiple face patches.Specifically, this work utilizes a deep learning method based on multiple large patches. Several Convolutional Neural Networks(CNN) are trained on individual, predefined patches that reflect various image resolutions and partial cropping. The decisions of each CNN are aggregated through majority voting to obtain the final gender classification accurately. Extensive experiments are conducted on four gender classification databases, including Labeled Face in-the-Wild(LFW), CelebA, ColorFeret, and All-Age Faces database, a novel database collected by our group. Each individual patch is evaluated, and complementary patches are selected for voting. We show that the classification accuracy of our method is comparable with that of state-of-the-art systems. This characteristic validates the effectiveness of our proposed method. | Jingchun Cheng Yali Li Jilong Wang Le Yu Shengjin Wang | 2019 | Tsinghua Science and Technology2019，24，3： | 2 |
| 3 | Sources and characteristics of carbonaceous aerosol in two largest cities in Pearl River Delta Region, China显示文摘 | Jingchun Duan Jihua Tan Dingxi Cheng Xinhui Bi Wenjing Deng Guoying Sheng Jiamo Fu M.H. Wong | 2006 | Atmospheric Environment2006，，14： | 2 |
| 4 | Sources and characteristics of carbonaceous aerosol in two largest cities in Pearl River Delta Region, China显示文摘 | Jingchun Duan Jihua Tan Dingxi Cheng Xinhui Bi Wenjing Deng Guoying Sheng Jiamo Fu M.H. Wong | 2006 | Atmospheric Environment2006，，14： | 1 |
| 5 | Sources and characteristics of carbonaceous aerosol in two largest cities in Pearl River Delta Region, China显示文摘 | Jingchun Duan Jihua Tan Dingxi Cheng Xinhui Bi Wenjing Deng Guoying Sheng Jiamo Fu M.H. Wong | 2006 | Atmospheric Environment2006，，14： | 1 |
| 6 | Electroacupuncture increased cerebral blood flow and reduced ischemic brain injury:dependence on stimulation intensity and frequency显示文摘 | Fei Zhou Jingchun Guo Jieshi Cheng | | 0，，： | 1 |
| 7 | Comprehensive evaluation method of urban air quality statistics based on environmental monitoring data and its application显示文摘Air quality monitoring is effective for timely understanding of the current air quality status of a region or city.Currently,the huge volume of environmental monitoring data,which has reasonable real-time performance,provides strong support for in-depth analysis of air pollution characteristics and causes.However,in the era of big data,to meet current demands for fine management of the atmospheric environment,it is important to explore the characteristics and causes of air pollution from multiple aspects for comprehensive and scientific evaluation of air quality.This study reviewed and summarized air quality evaluation methods on the basis of environmental monitoring data statistics during the 13th Five-Year Plan period,and evaluated the level of air pollution in the Beijing-Tianjin-Hebei region and its surrounding areas(i.e.,the“2+26”region)during the period of the three-year action plan to fight air pollution.We suggest that air quality should be comprehensively,deeply,and scientifically evaluated from the aspects of air pollution characteristics,causes,and influences of meteorological conditions and anthropogenic emissions.It is also suggested that a threeyear moving average be introduced as one of the evaluation indexes of long-term change of pollutants.Additionally,both temporal and spatial differences should be considered when removing confounding meteorological factors. | Linglu Qu Fahe Chai Shijie Liu Jingchun Duan Fan Meng Miaomiao Cheng | 2023 | Journal of Environmental Sciences2023，，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员