饮用水源地水质评价的变权欧式距离模型的建立及应用

通过改进加权欧式距离模型,建立变权欧式距离模型,以体现相同水质评价因子在不同饮用水源评价单元中的客观各异性.采用污染贡献率确定评价因子在各评价单元中的权重.结合规范化数据建立符合各评价单元自身特点的评价距离尺度准则,对饮用水源地的水质进行评价.结果表明,与综合指数法比较,变权欧式距离模型的分割灵敏性较高、评价效果良好.本研究提供了一种符合饮用水质特点的科学评价方法.     

注册安全工程师行业混合监管模式探讨

注册安全工程师执业资格制度是在市场经济条件下,加强企业安全与卫生工作的一项重要管理制度。我国注册安全工程师制度刚刚兴起,一个高效的行业监管模式尚未建立起来,因此有必要对这一新兴行业的监管开展先行研究。目前,国际上通行的注册安全工程师行业监管模式主要有行业自律和政府监管两种,并呈现出逐步向独立监管方向发展的趋势。不同监管模式具有不同的优缺点和不同的适应条件,中国注册安全工程师行业的监管既应借鉴国际先进经验,又必须着眼于中国的实际情况,分别从短期、中期和长期的综合监管绩效考虑,采纳混合监管模式不失为一种现实可行的抉择。     

汶川8.0级地震非承重墙体震害调查分析

通过对汶川8.0级地震发生后西安、成都地区(地震烈度为Ⅵ～Ⅶ度区)的高层建筑震害调查,以某小区震后建筑物非承重墙体裂缝为实例,给出了高层建筑震害易发生的部位和楼层,分析了非承重墙体裂缝产生的原因。震害调查表明:汶川地震中,在抗震设防烈度为Ⅵ～Ⅷ度区,当地震烈度为Ⅵ～Ⅶ度时,非承重墙抗震性能的表现不尽如人意。提出了应对非承重墙体制定设防目标,且非承重结构构件的抗震设防目标应与主体结构设防目标相适应,使建筑结构设计,对非承重墙的抗震设防有据可依,使灾后有可能对设计与施工的质量进行评估,通过有区别地加强非承重墙的抗震构造措施,减小建筑物的震害损失。     

Communication,neighbourhood belonging and household hurricane preparedness

This paper reports on an examination of data on how local residents in Tuscaloosa, a mid‐sized city in the state of Alabama, United States, responded to Hurricane Ivan of September 2004. The evaluation revealed that an integrated connection to community‐level communication resources—comprising local media, community organisations and interpersonal networks—has a direct impact on the likelihood of engaging in pre‐hurricane preparedness activities and an indirect effect on during‐hurricane preparedness activities. Neighbourhood belonging mediated the relation between an integrated connection to community‐level communication resources and during‐hurricane preparedness activities. Neighbourhood belonging was determined to increase the likelihood of taking preparedness actions during Hurricane Ivan, but not prior to it. In addition, we discovered an interesting pattern for two different types of risk perceptions: social and personal risk perceptions. Social risk perceptions increase the likelihood of taking preventative steps before a hurricane while personal risk perceptions are positively related to engaging in preventative action during a hurricane.     

Excitation-emission matrix (EEM) fluorescence spectroscopy for characterization of organic matter in membrane bioreactors: Principles,methods and applications

• Principles and methods for fluorescence EEM are systematically outlined. • Fluorophore peak/region/component and energy information can be extracted from EEM. • EEM can fingerprint the physical/chemical/biological properties of DOM in MBRs. • EEM is useful for tracking pollutant transformation and membrane retention/fouling. • Improvements are still needed to overcome limitations for further studies. The membrane bioreactor (MBR) technology is a rising star for wastewater treatment. The pollutant elimination and membrane fouling performances of MBRs are essentially related to the dissolved organic matter (DOM) in the system. Three-dimensional excitation-emission matrix (3D-EEM) fluorescence spectroscopy, a powerful tool for the rapid and sensitive characterization of DOM, has been extensively applied in MBR studies; however, only a limited portion of the EEM fingerprinting information was utilized. This paper revisits the principles and methods of fluorescence EEM, and reviews the recent progress in applying EEM to characterize DOM in MBR studies. We systematically introduced the information extracted from EEM by considering the fluorescence peak location/intensity, wavelength regional distribution, and spectral deconvolution (giving fluorescent component loadings/scores), and discussed how to use the information to interpret the chemical compositions, physiochemical properties, biological activities, membrane retention/fouling behaviors, and migration/transformation fates of DOM in MBR systems. In addition to conventional EEM indicators, novel fluorescent parameters are summarized for potential use, including quantum yield, Stokes shift, excited energy state, and fluorescence lifetime. The current limitations of EEM-based DOM characterization are also discussed, with possible measures proposed to improve applications in MBR monitoring.     

Groundwater pollution source apportionment using principal component analysis in a multiple land-use area in southwestern China

Identification of different pollution sources in groundwater is challenging, especially in areas with diverse land uses and receiving multiple inputs. In this study, principal component analysis (PCA) was combined with geographic information system (GIS) to explore the spatial and temporal variation of groundwater quality and to identify the sources of pollution and main factors governing the quality of groundwater in a multiple land-use area in southwestern China. Groundwater samples collected from 26 wells in 2012 and 38 wells in 2018 were analyzed for 13 water quality parameters. The PCA results showed that the hydro-geochemical process was the predominant factor determining groundwater quality, followed by agricultural activities, domestic sewage discharges, and industrial sewage discharges. Agriculture expansion from 2012 to 2018 resulted in increased apportionment of agricultural pollution. In contrast, economic restructure and infrastructure improvement reduced the contributions of domestic sewage and industrial pollution. Anthropogenic activities were found the major causes of elevated nitrogen concentrations (NO₃^?, NO₂^?, NH₄⁺) in groundwater, highlighting the necessity of controlling N sources through effective fertilizer managements in agricultural areas and reducing sewage discharges in urban areas. The applications of GIS and PCA successfully identified the sources of pollutants and major factors driving the variations of groundwater quality in tested years.

     

Submerged anaerobic membrane bioreactor for low-concentration domestic sewage treatment: performance and membrane fouling

Environmental Science and Pollution Research - A submerged anaerobic membrane bioreactor (SAnMBR) was used to treat low-concentration domestic sewage. The effects of hydraulic retention time (HRT)...     

微山湖养殖湖区水体中多环芳烃的分布及来源

采用HPLC定量分析微山湖养殖湖区水体中16种优先控制PAHs的总量浓度范围在5348.8～12970.8ng/L之间,平均值为8671.5ng/L,处于中等偏高污染水平;养殖湖区水体中的多环芳烃主要来源于养殖船只的石油泄露及煤炭、木材与石油的不完全燃烧,PAHs的组成以2～3环为主。     

武汉城市圈资源集聚能力的空间关联研究

提升武汉城市圈各城市间资源集聚能力的空间关联程度,对于实现该区域的协调发展具有重要意义。基于此,运用修正的引力模型,采用社会网络分析法对1995～2015年武汉城市圈资源集聚能力的空间关联进行分析。研究表明:(1)武汉城市圈资源集聚能力的空间关联特征显著,网络密度呈现倒"U"型,网络等级逐年下降,网络效率呈现"U"型;(2)武汉城市圈资源集聚能力在网络中呈现"中心-边缘"的特征,武汉市的点度中心度最高,在网络中属于中心城市,而其它城市属于边缘城市;(3)板块一(武汉、孝感、天门)属于"双向溢出"板块,板块二(潜江、咸宁)属于"净受益"板块,板块三(仙桃、黄冈)属于"净溢出"板块,板块四(黄石、鄂州)属于"经纪人"板块。鉴于此,从多途径构建资源集聚能力空间关联"通道"、增强中心城市辐射带动功能和推动城市分工协作等3个方面提出了提升武汉城市圈资源集聚能力空间关联程度的政策建议。