Development and application of LC–APCI–MS method for biomonitoring of animal and human exposure to imidacloprid

Imidacloprid (IMI) is a relatively new neuro-active neonicotinoid insecticide and nowadays one of the largest selling insecticides worldwide. In the present study a LC–APCI–MS based method was developed and validated for the quantification of imidacloprid and its main metabolite 6-chloronicotinic acid (6-CINA) in urine and hair specimens. The method was tested in biomonitoring of intentionally exposed animals and subsequently applied for biomonitoring of Cretan urban and rural population.     

基于大数据监管平台的通信基站监督性监测技术模式

提出一种基于大数据监管平台的通信基站监督监测技术模式,利用大数据监管平台实现监督监测对象的自动筛选、开展线上全流程监测、自动分析比对监测结果,并将该技术模式用于2019年和2020年广东省10.5万个通信基站的监督监测。结果表明,通信基站备案基础信息的相符率为75.3%～98.6%;社会化监测机构关键点位电磁环境监测结果相符率为60.0%～92.3%。该结果可用于评估广东省通信基站建设单位备案的基础信息相符性结果和社会化监测机构监测质量。     

Volunteer Macroinvertebrate Monitoring: Tensions Among Group Goals,Data Quality,and Outcomes

Volunteer monitoring of natural resources is promoted for its ability to increase public awareness, to provide valuable knowledge, and to encourage policy change that promotes ecosystem health. We used the case of volunteer macroinvertebrate monitoring (VMM) in streams to investigate whether the quality of data collected is correlated with data use and organizers' perception of whether they have achieved these outcomes. We examined the relation between site and group characteristics, data quality, data use, and perceived outcomes (education, social capital, and policy change). We found that group size and the degree to which citizen groups perform tasks on their own (rather than aided by professionals) positively correlated with the quality of data collected. Group size and number of years monitoring positively influenced whether a group used their data. While one might expect that groups committed to collecting good-quality data would be more likely to use it, there was no relation between data quality and data use, and no relation between data quality and perceived outcomes. More data use was, however, correlated with a group's feeling of connection to a network of engaged citizens and professionals. While VMM may hold promise for bringing citizens and scientists together to work on joint conservation agendas, our data illustrate that data quality does not correlate with a volunteer group's desire to use their data to promote regulatory change. Therefore, we encourage scientists and citizens alike to recognize this potential disconnect and strive to be explicit about the role of data in conservation efforts.     

四川省空气自动监测数据采集系统建设

介绍了四川省空气质量监测工作的现状和存在的问题,提出了建设四川省空气自动监测数据采集系统的技术路线,建设完成了全省空气监测数据的统一采集。     

油气集输站安全监控预警及管理信息系统的开发

提出油气集输站安全监控预警及管理信息系统建设的调研内容、需求分析以及安全相关控制系统的风险分析流程。设计了该系统建设的4层结构框架和拓扑图,深入研究了实时参数监控、分级报警与安全保护控制、智能诊断与预警、多媒体监控、安全生产管理信息子系统的主要开发内容和功能实现。     

斜拉桥支架法施工的自适应安全监测技术

介绍自适应控制的基本原理及其运用现状。根据斜拉桥的实际情况选用自适应控制形式,在主要部位埋设传感器和相关的测试仪器,明确监测时间并在实施中严格执行。依据实测结果对标高、应力、容重等参数按实际情况进行修正,得出施工过程中的受力状态,从而调整施工。算出主梁各节点理论施工预拱度变化曲线等数据并与实测值进行比较,反复修正。自适应法达到了仿真计算与实际施工过程保持一致的最佳施工控制效果。绥芬河斜拉桥的施工证明,自适应法是一种很适合斜拉桥支架施工安全监测的技术,值得推广应用。     

全工班呼吸性粉尘测定及防尘措施研究

针对呼吸性粉尘对矿井工人身体健康的危害,对煤矿综采工作面、综掘工作面、炮掘工作面等进行分工种个体性的全尘和呼尘监测,测定了各工作面粉尘(全尘和呼尘)的浓度、粉尘分散度和SiO2浓度。其结果表明:全工班呼吸性粉尘测定的方法更加真实可靠,更真实地反映了呼吸性粉尘对井下各操作工种的致病危害,测得的各工作面各工种的呼尘浓度均高于国家标准。通过数据的分析以及工人的建议,提出了一些新式的、有效的防尘措施来降低呼吸性粉尘对人体健康的危害。     

基于临水区域化工园区的整体安全研究

针对临水区域化工园区的生产特点及在整体安全方面存在的普遍问题,提出在临水区域化工园区内要进行合理布局,做到功能分区明确;同时需建立园区安全生产管理、监测预警及应急处置系统,主要是由固定危险源和移动危险源动态安全管理子系统、安全生产监测预警系统、突发事故应急处置平台等所组成;坚持安全监控信息化与标准化,对化工园区的整体安全性的提高将发挥巨大的作用,为建设"平安园区"打下坚实的基础。     

基于灰预测模型的大跨度预应力混凝土桥梁施工监测

运用灰色系统理论,建立大跨度预应力砼刚构-连续组合梁桥悬臂浇筑施工梁段立模标高预测的GM(1,1)模型,并用残差的GM(1,1)模型对其进行修正;同时把该预测模型应用于松原龙华松花江特大桥实际工程;其结果表明梁段立模标高预测精度较高,完全能够满足工程的需要,为同类桥梁的施工监测提供参考。     

Optimal Design of a Multi-Pollutant Air Quality Monitoring Network in a Metropolitan Region Using Kaohsiung, Taiwan as an Example

An air quality monitoring network (AQMN) usually performs the basic function of assessment of regional air quality and demonstration of compliance with ambient air quality standards in an urban area. Different pollutants, however, may present different characteristic variabilities due to their specific emission patterns, rates of diffusion, and transport and transformation behaviors. But the costs of siting in a pollutant-specific monitoring network would be higher than that for a common network with respect to several pollutants monitored simultaneously. This paper presents a survey of multi-pollutant design principles and optimal searches for siting patterns of an AQMN using both simulation and optimization models as a combined tool. While conservative, quasi-stable, and reactive pollutants are considered in the design principles, cost, coverage effectiveness, and spatial correlation characteristics are included in the multi-criteria decision making process. For illustrative purpose, a series of technical settings and two types of objectives were examined in the case study for the city of Kaohsiung in Taiwan.