Using structural equation modeling to investigate relationships among ecological variables

Structural equation modeling is an advanced multivariate statistical process with which a researcher can construct theoretical concepts, test their measurement reliability, hypothesize and test a theory about their relationships, take into account measurement errors, and consider both direct and indirect effects of variables on one another. Latent variables are theoretical concepts that unite phenomena under a single term, e.g., ecosystem health, environmental condition, and pollution (Bollen, 1989). Latent variables are not measured directly but can be expressed in terms of one or more directly measurable variables called indicators. For some researchers, defining, constructing, and examining the validity of latent variables may be the end task of itself. For others, testing hypothesized relationships of latent variables may be of interest. We analyzed the correlation matrix of eleven environmental variables from the U.S. Environmental Protection Agency's (USEPA) Environmental Monitoring and Assessment Program for Estuaries (EMAP-E) using methods of structural equation modeling. We hypothesized and tested a conceptual model to characterize the interdependencies between four latent variables-sediment contamination, natural variability, biodiversity, and growth potential. In particular, we were interested in measuring the direct, indirect, and total effects of sediment contamination and natural variability on biodiversity and growth potential. The model fit the data well and accounted for 81% of the variability in biodiversity and 69% of the variability in growth potential. It revealed a positive total effect of natural variability on growth potential that otherwise would have been judged negative had we not considered indirect effects. That is, natural variability had a negative direct effect on growth potential of magnitude –0.3251 and a positive indirect effect mediated through biodiversity of magnitude 0.4509, yielding a net positive total effect of 0.1258. Natural variability had a positive direct effect on biodiversity of magnitude 0.5347 and a negative indirect effect mediated through growth potential of magnitude –0.1105 yielding a positive total effects of magnitude 0.4242. Sediment contamination had a negative direct effect on biodiversity of magnitude –0.1956 and a negative indirect effect on growth potential via biodiversity of magnitude –0.067. Biodiversity had a positive effect on growth potential of magnitude 0.8432, and growth potential had a positive effect on biodiversity of magnitude 0.3398. The correlation between biodiversity and growth potential was estimated at 0.7658 and that between sediment contamination and natural variability at –0.3769.     

Fractionation of heavy metals in liquefied chromated copper arsenate 9-treated wood sludge using a modified BCR-sequential extraction procedure

Chromated copper arsenate (CCA)-treated wood was liquefied with polyethylene glycol/glycerin and sulfuric acid. After liquefaction, most CCA metals (98% As, 92% Cr, and 83% Cu) were removed from liquefied CCA-treated wood by precipitation with calcium hydroxide. The original CCA-treated wood and liquefied CCA-treated wood sludge were fractionated by a modified Community Bureau of Reference (BCR) sequential extraction procedure. The purpose of the BCR-sequential extraction used in this study was to examine the availability of CCA metals in treated wood for reuse. Both As and Cr had a slightly higher concentration in the sludge sample than in original CCA-treated wood. The sequential extraction showed that As and Cr were principally existed in an oxidizable fraction (As, 67%; Cr, 88%) in original CCA-treated wood. Only 1% of both As and Cr were extracted by hot nitric acid with the last extraction step. The distribution of As and Cr changed markedly in liquefied CCA-treated wood sludge.The amount of As in the exchangeable/acid extractable fraction increased from 16% to 85% while the amount of Cr increased from 3% to 54%. Only about 3% of As was present in the oxidizable fraction. However, there was still about 34% of Cr in the same fraction. Based on these results from sequential extraction procedures, it can be concluded that the accessibilities of CCA metals increase markedly by the liquefaction–precipitation process.     

Solid partitioning and solid-liquid distribution of Po and Pb in marine anoxic sediments: roads of Cherbourg at the northwestern France

A sequential extraction protocol has been used to determine the solid-phase partition of ²¹⁰Po and ²¹⁰Pb in anoxic marine sediment from the roads of Cherbourg (France) in the central English Channel. Measurements were also obtained in pore waters, in which ²¹⁰Po activities range between 1 and 20 mBq L⁻¹ and ²¹⁰Pb activities between 2.4 and 3.8 mBq L⁻¹, with highest activities in the topmost layer. These activities are higher than in seawater, suggesting that sediment act as a source of both ²¹⁰Po and ²¹⁰Pb for overlying water. The ²¹⁰Po profile in the pore waters is apparently correlated with those obtained for Fe, Mn and SO₄²⁻, suggesting an influence of early diagenetic processes on the ²¹⁰Po solid-liquid distribution. In the sediment, ²¹⁰Po is predominantly bound to organic matter or chromium reducible sulphides, and residuals (clay minerals and refractory oxides). Our results indicate that ²¹⁰Po is not significantly bound to AVS, i.e. acid volatile sulphides: bioturbation could play a role by the early redistribution of ²¹⁰Po bound to acid volatile sulphides in the sediment. ²¹⁰Po, ²¹⁰Pb and Pb exhibit differences in terms of distribution, probably due to a different mode of penetration in the sediment. This work provides information on solid and liquid distribution of ²¹⁰Po and ²¹⁰Pb in marine sediment. These data are very scarce in the litterature.     

Speciation of some heavy metals in River Nile sediments,Cairo, Egypt

River sediments are basic components of our environment. It also constitutes a major source of persistent bioaccumulative toxic chemicals which may pose threats to ecological and human health even after contaminants are no longer released from point and non-point sources. Therefore, the aim of this study was to investigate the mobility and the availability of metals in sediments from different sites along the Nile River in Cairo district using sequential chemical extraction technique. The speciation data showed that most metals were associated with organic/sulfide and residual fractions. The order of total metal concentrations in sediment samples was found to be Fe > Mn > Zn > Ni > Cu ≥ Cr > Pb > Cd.     

吉林省可再生能源战略环境评价指标体系的建立

本文依据“可再生能源法”和与吉林省可再生能源发展相关的政策、规划,提出了在进行可再生能源战略评价时评价指标建立的原则和建立方法以及指标体系权重的确定方法。通过对吉林省可再生能源的发展现状及可再生能源的主要构成情况进行分析,确定了吉林省可再生能源战略环境评价指标体系主要类型,并建立了吉林省可再生能源的战略环境评价指标体系的可选指标集。根据驱动力-压力-状态-影响-响应（DPSIR）指标框架,该指标体系主要包括驱动力指标、压力指标、状态指标、影响指标和响应指标,涉及经济、社会、环境指标和能源指标等4种类型。同时本文指出在指标确定过程中必须依据不同地域的特点,充分体现地域性的差别。     

区域旅游产业集群竞争力提升研究——以湘鄂渝黔边区为例

目前旅游产业集群现象已引起人们广泛的关注,提升区域旅游产业集群竞争力是发展区域旅游产业的关键。对国内外相关研究进行了简要的回顾,对旅游产业集群竞争力的影响要素进行了分析,构建了旅游产业集群的评价模型,并以湘鄂渝黔边区域旅游产业集群为例,提出了提升区域旅游产业集群竞争力的对策。     

GIS‐Based Predictive Models of Hillslope Runoff Generation Processes1

Abstract: Successful nonpoint source pollution control using best management practice placement is a complex process that requires in‐depth knowledge of the locations of runoff source areas in a watershed. Currently, very few simulation tools are capable of identifying critical runoff source areas on hillslopes and those available are not directly applicable under all runoff conditions. In this paper, a comparison of two geographic information system (GIS)‐based approaches: a topographic index model and a likelihood indicator model is presented, in predicting likely locations of saturation excess and infiltration excess runoff source areas in a hillslope of the Savoy Experimental Watershed located in northwest Arkansas. Based on intensive data collected from a two‐year field study, the spatial distributions of hydrologic variables were processed using GIS software to develop the models. The likelihood indicator model was used to produce probability surfaces that indicated the likelihood of location of both saturation and infiltration excess runoff mechanisms on the hillslope. Overall accuracies of the likelihood indicator model predictions varied between 81 and 87% for the infiltration excess and saturation excess runoff locations respectively. On the basis of accuracy of prediction, the likelihood indicator models were found to be superior (accuracy 81‐87%) to the predications made by the topographic index model (accuracy 69.5%). By combining statistics with GIS, runoff source areas on a hillslope can be identified by incorporating easily determined hydrologic measurements (such as bulk density, porosity, slope, depth to bed rock, depth to water table) and could serve as a watershed management tool for identifying critical runoff source areas in locations where the topographic index or other similar methods do not provide reliable results.     

航空公司安全监督人员绩效评价方法研究

为了促进航空公司安全监督人员更好地履行安全监督职责,针对员工绩效评价中的指标确立和权重合理量化问题,建立了包括工作业绩、工作能力和敬业精神在内的更全面的指标评价体系,应用层次分析法构建综合评价模型,并给出综合评价分值的计算公式。结果表明,层次分析法可以用于难以定量指标的权重的确定,提高了绩效评价的合理性和一致性。     

从安全生产指标体系透视企业安全管理重点

通过分析安全生产指标体系框架构成,提出了与企业安全管理密切相关的安全指标,并分别从安全管理制度指标、风险评价指标、安全培训指标、安全信息指标、安全检查指标、应急管理指标、事故管理指标和相关方管理指标八个方面分析了企业安全管理工作重点。提出建议,企业的安全管理重点工作一方面应根据安全生产指标体系内容确定,另一方面应结合业务领域和工艺设备技术的更新进行调整,以更好地实现安全生产。     

Environmental risk assessment of heavy metal extractability in a biosludge from the biological wastewater treatment plant of a pulp and paper mill

A five-stage sequential extraction procedure was used to fractionate heavy metals (Cd, Cu, Pb, Cr, Zn, Fe, Mn, Ni, Co, As, V and Ba) in a biosludge from the biological wastewater treatment plant of Stora Enso Oyj Veitsiluoto Mills at Kemi, Northern Finland, into the following fractions: (1) water-soluble fraction, (2) exchangeable fraction, (3) easily reduced fraction, (4) oxidizable fraction, and (5) residual fraction. The biosludge investigated in this study is a combination of sludge from the primary and secondary clarifiers at the biological wastewater treatment plant. Extraction stages (2)–(4) follow the protocol proposed by the Measurements and Testing Program (formerly BCR Programme) of the European Commission, which is based on acetic acid extraction (stage 2), hydroxylamine hydrochloride extraction (stage 3), and hydrogen peroxide digestion following the ammonium acetate extraction (stage 4). The residual fraction (stage 5) was based on digestion of the residue from stage 4 in a mixture of HF + HNO₃ + HCl. Although metals were extractable in all fractions, the highest concentrations of most of the metals occurred in the residual fraction. From the environmental point of view, it was notable that the total heavy metal concentrations in the biosludge did not exceed the maximal allowable heavy metal concentrations for sewage sludge used in agriculture, set on the basis of environmental protection of soil by European Union Directive 86/278/EEC, and by the Finnish legislation. The Ca (98.6 g kg⁻¹; dry weight) and Mg (2.2 g kg⁻¹; dry weight) concentrations in the biosludge were 62 and 11 times higher than the typical values of 1.6 and of 0.2 g kg⁻¹ (dry weight), respectively, in arable land in Central Finland. The biosludge had a slightly alkaline pH (∼8.30), a high loss-on-ignition value (∼78%) and a liming effect of 10.3% expressed as Ca equivalents (dry weight). This indicates its potential as a soil conditioner and improvement agent, as well as a pH buffer.