城市型生态社区可持续发展评价指标体系的初步研究

近年来,城市化发展带动了社区建设的蒸蒸日上,同时也带来了环境资源的快速消耗及一系列的环境污染问题,生态社区的建设受到人们的广泛关注,可持续发展的理念已经渗透到人类社区建设发展的各个方面.通过对城市型生态社区内涵的分析,探讨了城市型生态社区可持续发展评价指标体系的构建原则,在该原则指导下结合苏州市区域特征采用层次分析法建立了与之相应的评价指标体系,并在该基础上以指标体系中的生态建筑子系统为例对其做出详细的指标说明.     

对水体中有机污染综合指标及其相互间的关系探研

通过对水体中各有机污染综合指标的含义及各指标测定方法条件控制的论述,阐明了各指标间的相互关系,对我们在水质监测中的质量控制、数据的综合分析和判断有一定的指导意义。     

高锰酸盐指数测定中校正系数K值的变化验证

运用数理统计方法,验证了高锰酸盐指数测定的校正系数K值在4～5h内不会随时间和水样的变化而变化,K值不必每个样品都测定。     

潜在危害性指数法在筛选污染因子中的应用

介绍了潜在危害性指数法的基本原理和计算公式，通过某大型化工企业的实例，提出了应用的要求，并筛选出了企业的９项主要的环境监测因子。     

预防水体黑臭的水质指标研究

水体黑臭的指标，是研究其成因，判断其黑芨科学合理地管理水体的重要内容，该文选择了与一黑臭生化过程有关的的一些参数，进行了理场和模拟试验测定研究，结果证明ＤＯ、ＢＯＤ５、硫酸还原菌数等，与水体黑臭具有较好的相关性。水体黑臭与不黑臭的临界指标为：ＣＨ－２１．５，ＤＯ＝１．８ｍｇ／Ｌ，Ｎ＝２０００个／ｍｌ，ＢＯＤ５＝１４ｍｇ／Ｌ。     

QSAR法研究取代苯酚的生物活性

基于表征成键原子的生物活性特征值Ai构建取代苯酚的自相关拓扑指数tT,并以0T1、T为结构描述符,分别建立了取代苯酚诱发浮萍萎黄、对日本长腿蛙蝌蚪的QSAR模型:pC=-2.4591+0.51730T-6.3888×10-21T,r=0.9778;24h-LC50=2.1269+1.1013×10-20T+3.4552×10-41T2,r=0.9676.它们的估算结果均优于文献结果,用Jackknife法检验,以上模型具有总体稳健性。     

省域生态环境质量动态评价及差异研究

以2010~2015年30个省域为研究对象，采用“驱动力-压力-状态-影响-响应”框架构建评价指标体系，运用逐层纵横向拉开档次法确定指标权重，运用“时间度”和“熵值”法确定时间权重，构建TOWA-GA混合算子生态环境质量动态评价模型.结果表明：6a来，30个省域生态环境质量总体均值为0.837，整体呈好转趋势，但省域间差异明显.通过Theil指数分析发现，省域间总体差异下降了15.91%，人口密度和人口自然增长率是省域间差异的主要影响因素.     

Sex‐specific and dose‐response relationships of urinary cobalt and molybdenum levels with glucose levels and insulin resistance in U.S. adults

Growing studies have linked metal exposure to diabetes risk. However, these studies had inconsistent results. We used a multiple linear regression model to investigate the sex-specific and dose-response associations between urinary metals (cobalt (Co) and molybdenum (Mo)) and diabetes-related indicators (fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), homeostasis model assessment for insulin resistance (HOMA-IR), and insulin) in a cross-sectional study based on the United States National Health and Nutrition Examination Survey. The urinary metal concentrations of 1423 eligible individuals were stratified on the basis of the quartile distribution. Our results showed that the urinary Co level in males at the fourth quartile (Q4) was strongly correlated with increased FPG (β = 0.61, 95% CI: 0.17–1.04), HbA1c (β = 0.31, 95% CI: 0.09–0.54), insulin (β = 8.18, 95% CI: 2.84–13.52), and HOMA–IR (β = 3.42, 95% CI: 1.40–5.44) when compared with first quartile (Q1). High urinary Mo levels (Q4 vs. Q1) were associated with elevated FPG (β = 0.46, 95% CI: 0.17–0.75) and HbA1c (β = 0.27, 95% CI: 0.11–0.42) in the overall population. Positive linear dose-response associations were observed between urinary Co and insulin (P_nonlinear = 0.513) and HOMA–IR (P_nonlinear = 0.736) in males, as well as a positive linear dose-response relationship between urinary Mo and FPG (P_nonlinear = 0.826) and HbA1c (P_nonlinear = 0.376) in the overall population. Significant sex-specific and dose-response relationships were observed between urinary metals (Co and Mo) and diabetes-related indicators, and the potential mechanisms should be further investigated.     

Acid resistance of methanogenic bacteria in a two-stage anaerobic process treating high concentration methanol Wastewater

In this study, the two-stage upflow anaerobic sludge blanket (UASB) system and batch experiments were employed to evaluate the performance of anaerobic digestion for the treatment of high concentration methanol wastewater. The acid resistance of granular sludge and methanogenic bacteria and their metabolizing activity were investigated. The results show that the pH of the first UASB changed from 4.9 to 5.8 and 5.5 to 6.2 for the second reactor. Apparently, these were not the advisable pH levels that common methanogenic bacteria could accept. The methanogenic bacteria of the system, viz. Methanosarcina barkeri, had some acid resistance and could still degrade methanol at pH 5.0. If the methanogenic bacteria were trained further, their acid resistance would be improved somewhat. Granular sludge of the system could protect the methanogenic bacteria within its body against the impact of the acidic environment and make them degrade methanol at pH 4.5. The performance of granular sludge was attributed to its structure, bacteria species, and the distribution of bacterium inside the granule. Translated from Acta Scientiae Circumstantiae, 2004, 24(4): 633–636 [译自: 环境科学学报]     

矿区生态系统健康内涵及评价指标体系研究

结合生态系统健康理论及矿区发展特点，探讨了矿区生态系统健康内涵、阐述了矿区生态系统健康评价目的和评价指标体系的设置思想，构建了矿区生态系统健康评价指标体系。