4篇
您的检索式：作者名="Jingsha Xu"
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| 1 | Could wastewater analysis be a useful tool for China?——A review显示文摘Analysing wastewater samples is an innovative approach that overcomes many limitations of traditional surveys to identify and measure a range of chemicals that were consumed by or exposed to people living in a sewer catchment area. First conceptualised in 2001, much progress has been made to make wastewater analysis(WWA) a reliable and robust tool for measuring chemical consumption and/or exposure. At the moment, the most popular application of WWA, sometimes referred as sewage epidemiology, is to monitor the consumption of illicit drugs in communities around the globe, including China. The approach has been largely adopted by law enforcement agencies as a device to monitor the temporal and geographical patterns of drug consumption. In the future, the methodology can be extended to other chemicals including biomarkers of population health(e.g. environmental or oxidative stress biomarkers, lifestyle indicators or medications that are taken by different demographic groups) and pollutants that people are exposed to(e.g. polycyclic aromatic hydrocarbons,perfluorinated chemicals, and toxic pesticides). The extension of WWA to a huge range of chemicals may give rise to a field called sewage chemical-information mining(SCIM) with unexplored potentials. China has many densely populated cities with thousands of sewage treatment plants which are favourable for applying WWA/SCIM in order to help relevant authorities gather information about illicit drug consumption and population health status. However, there are some prerequisites and uncertainties of the methodology that should be addressed for SCIM to reach its full potential in China. | Jianfa Gao Jake O'Brien Foon Yin Lai Alexander L.N.van Nuijs Jun He Jochen F.Mueller Jingsha Xu Phong K.Thai | 2015 | Journal of Environmental Sciences2015，27，1： | 4 |
| 2 | An Enhanced Trust Model Based on Reputation for P2P Networks 显示文摘 | Xu Wu Jingsha He Fei Xu | 2008 | IEEE International Conference on Volume2008，，111213： | 1 |
| 3 | Characteristics and source attribution of PM2.5 during 2016 G20 Summit in Hangzhou: Efficacy of radical measures to reduce source emissions显示文摘A field campaign was conducted to study the PM2.5 and atmospheric gases and aerosol’s components to evaluate the efficacy of radical measures implemented by the Chinese government to improve air quality during the 2016 G20 Summit in Hangzhou China.The lower level of PM2.5(32.48±11.03μg/m3)observed during the control period compared to precontrol and post-control periods showed that PM2.5 was alleviated by control policies.Based on the mass concentrations of particulate components,the emissions of PM2.5 from local sources including fossil fuel,coal combustion,industry and construction were effectively reduced,but non-exhaust emission was not reduced as effectively as expected.The accumulation of SNA(SO42-,NO3-,NH4+)was observed during the control period,due to the favourable synoptic weather conditions for photochemical reactions and heterogeneous hydrolysis.Because of transboundary transport during the control period,air masses from remote areas contributed significantly to local PM2.5.Although,secondary organic carbon(OCsec)exhibited more sensitivity than primary organic carbon(OCpri)to control measures,and the increased nitrogen oxidation ratio(NOR)implied the regional transport of aged sec-ondary aerosols to the study area.Overall,the results from various approaches revealed that local pollution sources were kept under control,indicating that the implementation of mitigation measures were helpful in improving the air quality of Hangzhou during G20 summit.To reduce ambient levels of PM2.5 further in Hangzhou,regional control policies may have to be taken so as to reduce the impact of long-range transport of air masses from inland China. | Ke Chen Sarah E.Metcalfe Huan Yu Jingsha Xu Honghui Xu Dongsheng Ji Chengjun Wang Hang Xiao Jun He | 2021 | Journal of Environmental Sciences2021，33，8： | 1 |
| 4 | A New Anti-Spam Model Based on E-mail Address Concealment Technique显示文摘为了处理垃圾电子邮件问题,为因特网用户,的一个多数由电子邮件地址漏引起了这篇论文论述用户的电子邮件地址在被当作隐藏的一个隐私信息的一个新隐私保护模型。通过包含三个聚会并且在一个电子邮件地址的地方使用电子邮件地址代码的一个相互作用模式,建议模型能阻止电子邮件地址被漏,有效地因此解决垃圾电子邮件问题。我们基于机器学习把建议反罐头猪肉方法与过滤技术作比较。结果证明 100% 垃圾能在我们的计划被滤出,显示建议反罐头猪肉方法的有效性。 | ZHANG Yuqiang HE Jingsha XU Jing | 2018 | Wuhan University Journal of Natural Sciences2018，23，1： | 0 |
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