基于利益相关方感知的污水处理行业服务质量评价研究

借助服务质量评价的理论和方法,从功能性、规范性、专业性、时间性、经济性、可持续性6个污水处理行业服务特性出发,提出了基于利益相关方感知的污水处理行业服务质量评价指标体系,并构建了评价方法。同时,针对一家典型污水处理厂进行了实证研究,根据结果分析提出了改进建议。与常规的污水处理厂绩效评价方法相比,该方法可以更加全面、客观地对污水处理厂的服务质量进行评价。     

规划环境影响评价中的公众参与探讨

公众参与在规划环境影响评价中具有重要的意义,因此,首先讨论了规划环评中公众参与的涵义和作用,以及规划环评公众参与的对象、形式、时机,然后根据中国环境影响评价中公众参与的现状,提出了提高规划环评公众参与的有效性的途径。     

规划环境影响界定的方法与实例研究

规划环境影响评价隶属于战略环境影响评价的范畴,是国内外环境影响评价发展的一个新的阶段.其评价的方法和内容尚处于研究探索中,并未形成规范的方法系统.以某城市化工园区规划环境影响评价为例,对规划环境影响评价的环境影响界定方法进行初步探讨,提出规划环境影响评价应设置以环境影响识别和层次划分为具体内容的环境影响界定的观点.实例研究表明,在规划环境影响界定中,将规划的决策因子与识别出的主要环境议题联系起来,进行相关性分析和环境影响行为分析是十分有效的.     

水产养殖规划环境影响评价关键指标的研究

建立水产养殖规划环境影响评价指标体系的实质就是建立其环境影响的具体评价内容.提出了水产养殖规划显著环境影响识别的必要性和方法,引入了关键控制点的概念和识别方法,提出了建立关键指标体系的方法.同时,根据水产养殖规划环境影响评价的要求,提出了规划层次的评价指标和水环境状态反应层次指标的两级指标结构层次.     

区域贸易规划环境影响评价的研究——以云南省德宏州为例

随着中国实行更加积极主动的开放战略,越来越多的区域规划涉及贸易活动内容,贸易活动在中国推动经济增长的同时,也造成了环境压力,因此将区域贸易规划纳入环境影响评价(简称环评)制度是大势所趋。首先研究了贸易活动对环境的影响机制,通过"自由贸易→经济活动→环境影响"的链式反应分析,从规模、结构、技术效应3个方面进行环境影响途径分解;探讨了区域贸易规划环评的工作流程;其次,根据贸易对环境影响效应理论,提出区域贸易规划的环评方法;最后,以《云南瑞丽重点开发开放试验区建设总体规划》的德宏州贸易规划环评为案例,进行了实证研究。该研究可为中国未来区域贸易规划环评提供一定指导与借鉴。     

基于工作流的生态环境功能区规划管理业务规范化研究

环境管理业务规范化是实现环境规划管理信息化的前提与基础。以浙江省县级生态环境功能区规划管理信息系统建设为例,开展基于工作流的环境规划管理业务规范化研究,将环境规划管理业务分解成任务、角色、信息3个部分,建立3者间的关系模型,并根据浙江省县级环境保护组织管理构架的共性,建立了规范的、基础性的环境规划管理业务流程。     

利益相关者视角下非政府组织参与环境治理的模式创新研究 —— 以绿色浙江"吾水共治"圆桌会为例

随着环境问题的日益复杂化,环境治理中多元体系的形成尤为重要,非政府组织(NGO)作为一种新的社会治理力量受到广泛关注。然而,治理过程中利益相关者之间很难达成共识,因此,探索各利益相关者共同参与环境治理的模式具有现实意义。基于利益相关者理论,以绿色浙江"吾水共治"圆桌会为例,对环境治理中的利益相关者角色及功能展开分析,研究NGO在协调多方利益、维护公众权益、促进民主协商、实现多元共治过程中的作用机制和模式创新。     

基于故障树分析法袋式除尘器滤袋失效的研究与应用

在分析影响袋式除尘器滤袋失效因素的基础上,应用故障树分析法(fault tree analysis, FTA)对袋式除尘器滤袋的失效进行研究。以某袋式除尘器为例,建立该袋式除尘器滤袋失效的故障树,并结合其运行及废弃滤袋的调查情况,分析影响其滤袋失效的主要因素。结果表明,该袋式除尘器滤袋失效的主要影响因素为清灰压力峰值分布的不均匀(清灰不彻底)所导致的运行阻力过高。在此基础上,利用计算流体动力学(CFD)方法建立该袋式除尘器清灰数值计算模型,模拟其清灰时滤袋表面的压力峰值分布,发现该布袋除尘器滤袋底部表面的清灰压力峰值较低,无法达到正常清灰的要求,从而验证了故障树分析的正确性。以数值模拟为指导,改进该袋式除尘器的清灰结构,改善其清灰效果。     

基于系统动力学模型的低碳城市发展研究

首先,对城市进行能流分析并基于可量化的目的确定低碳城市发展规划的重点;其次,构建出低碳城市发展规划指标体系;最后,采用系统动力学软件构建了低碳城市发展规划系统动力学模型。以北京市为例,设定3种情景模拟预测了2010-2020年北京低碳城市发展状况,结果表明:(1)趋势发展情景下,绝大部分指标未达到设定的规划目标;规划发展情景下,经济发展速度放慢,二氧化碳排放量、碳排放强度、能源强度等关键指标达到规划目标;政策调控情景下,经济保持快速平稳发展,主要指标基本达到规划目标(能流密度除外),达到城市低碳发展理想状态。(2)3种情景下,2020年碳排放强度分别较2010年下降36.1%、47.0%和55.4%;趋势发展和规划发展情况下的人均二氧化碳排放量分别较2010年上升22.7%、3.2%,政策调控情景则下降2.7%。同时,根据模型预测结果提出了北京低碳发展规划的建议。     

Redundancy analysis for characterizing the groundwater quality in coastal industrial areas

Groundwater quality in coastal area has been an issue of interest because of excessive groundwater extraction for human use, for example, industrialization, irrigation, which can lead to saltwater intrusion. The study develops an integrated data analysis procedure based on multivariate statistics principal component analysis (PCA), hierarchical cluster analysis (HCA) and redundancy analysis (RDA), to determine the effects of key environmental conditions on the formulation of groundwater pollutants. This proposed method was demonstrated by analyzing groundwater quality monitoring data collected between 2011 and 2014 from four coastal industrial areas in Changhua county of Taiwan, namely Chuansing, Xianxi, Lukang and Fangyuan industrial parks. First, different environmental conditions in each industrial region were explored by PCA. The spatial hierarchy and spatial distribution of pollutant categories were then identified using HCA with the kriging method. Finally, the effect of environmental conditions on constitutive pollutants were identified with RDA. The three environmental patterns identified from the analytical results in Chuansing, Lukang and Xianxi were the salination factor (including conductivity and general hardness (GH)), water level and redox condition (including dissolved oxygen and oxidation–reduction potential). Fangyuan industrial park had only two patterns, namely salination (including conductivity and GH) and oxygen content (including DO and depth). The pollutant category indicated high concentrations of all pollutants in Chuansing and Fangyuan, and higher concentration of SO₄^2?, TDS, Cl^? in Xianxi, and of NH₃-N, Mn, Fe and TOC in Lukang. According to RDA results, salination caused the high concentrations of NH₃N, Cl^?, TDS in Chuansing, and of Cl^?, TDS and SO₄^2? in Xianxi and Lukang. Additionally, salination caused high concentrations of Fe in both Lukang and Fangyuan industrial parks in combination with those three pollutants. The redox condition was linked to high content of NO₃^? in Chuansing and Lukang, and of TOC in Xianxi. In Fangyuan industrial park, NO₃^? was also linked to high oxygen concentration. In summary, the combination of PCA, HCA and RDA enables the analysis of monitoring data to support policy decision-making.     

Solid-phase extraction for multi-residue analysis of pesticides in honey

A fast and simple multi-residue method for the analysis of 15 organophosphorus (OP), 17 organochlorine (OC), 8 pyrethroids (PYR), 12 N-methyl-carbamate (NMC) pesticide residues and bromopropylate in honey is presented. Ready–to–use EXtrelut®NT 20 column, eluted with dichloromethane, was used to extract the pesticide residues from the aqueous-acetone honey sample, obtaining a clean extract directly analyzable. Determination was carried out by gas chromatography (GC) coupled with flame photometric detector (FPD) for OP compounds and by GC coupled with mass spectrometry detector (MSD) for OC and PYR pesticides and bromopropylate. The NMC pesticides were analysed by liquid chromatography-double derivatization coupled with spectrofluorimetric detector (LC/DD/Fl). This method allows the determination of the 53 pesticide residues at low concentrations (0.0005–0.074 mg/kg) and can be used to assess the compliance with the Maximum Residues Levels (MRLs) set by the European Union. The performance of the method was evaluated and specificity, linearity, recovery, repeatability, reproducibility, limit of quantification (LOQ) and limit of detection (LOD) were determined. A good linearity (r²? 0.99) was found in the range 0.0005–0.074 mg/kg for the majority of the compounds studied. Most of the pesticides had recoveries in the range 70–103 % and values of relative standard deviation (RSD) < 20 for repeatability and reproducibility, showing good accuracy and precision of the method. Aldicarb partially degraded in aldicarb sulphoxide during the analytical procedure, giving anomalous values. The LOQ for all pesticides investigated was from 0.0005 to 0.025 mg/kg while the LOD ranged from 0.0002 to 0.008 mg/kg.     

Development of an efficient extraction method for oxytetracycline in animal manure for high performance liquid chromatography analysis

Oxytetracycline (2-(amino-hydroxy-methylidene)-4-dimethylamino-5,6,10,11,12a-pentahydroxy-6-methyl-4,4a,5,5a-tetrahydrotetracene-1,3,12-trione) is a major member of the tetracycline antibiotics family of which are widely administered to animals in concentrated animal feeding operations for purposes of therapeutical treatment and health protection. With the disposal of animal manure as fertilizer into agricultural land, tetracyclines enter the environment. However, tetracyclines chelate with multivalent cations and proteins, resulting in low extraction efficiencies from animal manure for tetracycline residue analysis. In this study an efficient extraction method for oxytetracycline from steer manure using methanol/water solution amended with chelating organic acid was developed for the analysis of high performance liquid chromatography. The effect of species and amount of amendment acids, shaking time, methanol/water ratio, manure weight, and repeated times of extraction was investigated. It was optimized to amend 2.5 g citric acid and 1.1 g oxalic acid with 10.0 g manure sample in a 50-ml centrifuge tube and extract with 15 ml methanol/water (9:1 in volume) by vigorously shaking for 30 min in a reciprocating shaker. After centrifugation at 11,000 rpm, supernatant is collected. Sample was extracted for a total of 3 times. The developed extraction method was further applied to extract oxytetracycline from fresh and aged cow manure, swine and poultry manure, and soil. Satisfactory recoveries ranging from (84.1 ± 2.4) % to (102.0 ± 3.1) % were obtained, demonstrating that the optimized extraction method is robust for oxytetracycline from different manure sample matrixes.     

A method for the analysis of organophosphorus pesticide residues in Mexican axolotl

A method based on matrix solid-phase dispersion (MSPD) was developed for quantitative extraction of three organophosphorus pesticides (OPPs) from the Mexican axolotl, Ambystoma mexicanum. The determination was carried out using high- performance liquid chromatography (HPLC) with diode array spectrophotometric UV detection (DAD). The MSPD extraction with octadecylsilyl (C18) sorbent combined with a silica gel clean-up and acetonitrile elution was optimised for chlorpyrifos, fenthion and methyl parathion. The method was validated, yielding recovery values higher than 90%. The precision, expressed as the relative standard deviation (RSD), was less than or equal to 6% in muscle samples at spiking levels of 10 and 5 ppm. Linearity was studied from 15 to 60 ppm for chlorpyrifos and fenthion, and from 7.5 to 30 ppm for methyl parathion. The limits of detection (LODs) were found to be less than or equal to 0.5 ppm_.This method was applied to the analysis of samples from a chlorpyrifos-exposed axolotl, demonstrating its use as an analytical tool for toxicological studies.     

基于主成分分析法的辽河水体中溶解性金属来源分析

在测定辽河水体中几种主要的溶解性金属(包括7种重金属)的含量和分析其空间分布特征的基础上,运用主成分分析(PCA)法分析了金属的可能来源。结果表明,辽河水体中溶解性金属的平均浓度为Al>Cu>Zn>Cr>Hg>As>Pb>Cd,与欧美发达国家的主要水体相比,辽河水体的金属污染状况总体较重;辽河水体中溶解性金属的污染来源主要分两类:农业面源和工业废水污染源,工业综合污染源;根据主成分得分系数可知,采样点2(通江口)、3(三合屯)、7(朱尔山)的金属污染主要来源于农业面源和工业废水污染源;采样点6(药王庙)的金属污染主要来源于工业综合污染源;基于PCA法的金属来源分析对辽河流域水体金属污染治理对策的制定有着重要的指导意义。     

Quantitative risk analysis for potentially resistant E. coli in surface waters caused by antibiotic use in agricultural systems

Antibiotics are frequently used in agricultural systems to promote livestock health and to control bacterial contaminants. Given the upsurge of the resistant fecal indicator bacteria (FIB) in the surface waters, a novel statistical method namely, microbial risk assessment (MRA) was performed, to evaluate the probability of infection by resistant FIB on populations exposed to recreational waters. Diarrheagenic Escherichia coli, except E. coli O157:H7, were selected for their prevalence in aquatic ecosystem. A comparative study between a typical E. coli pathway and a case scenario aggravated by antibiotic use has been performed via Crystal Ball® software in an effort to analyze a set of available inputs provided by the US institutions including E. coli concentrations in US Great Lakes through using random sampling and probability distributions. Results from forecasting a possible worst-case scenario dose-response, accounted for an approximate 50% chance for 20% of the exposed human populations to be infected by recreational water in the U.S. However, in a typical scenario, there is a 50% chance of infection for only 1% of the exposed human populations. The uncertain variable, E. coli concentration accounted for approximately 92.1% in a typical scenario as the major contributing factor of the dose-response model. Resistant FIB in recreational waters that are exacerbated by a low dose of antibiotic pollutants would increase the adverse health effects in exposed human populations by 10 fold.     

Application of nanobalance technique and principal component analysis for detection of the soil fumigant Telone residues in the air

Quartz crystal nanobalance (QCN) technique is considered as a powerful mass sensitive sensor for monitoring of materials in the sub-nanogram level. In the current study, a method based on QCN technique developed to determine Telone in air. Various coating materials including methyl phenyl silicon, 75% phenyl (OV25) and molecularly imprinted polymer (MIP) were employed. The frequency shift of OV25-modified quartz crystal was found to be linear against organohalogen compounds [Telone (soil fumigant), Koril (Herbicide), Endosulfan (organochlorine insecticide) and Chloroform (solvent)] concentrations in the range of 2.4 to 48 mg L^?1 for Telone vapor and 4.8–24 mg L^?1 for three other vapors. The correlation coefficients for Telone, Koril, Endosulfan and Chloroform were 0.992, 0.996, 0.989 and 0.991, respectively. The principal component analysis was also utilized to process the frequency response data of the organic vapors. Using principal component analysis, it was found that more than 93.85% of the data variance could still be explained by use of two principal components (PC1 and PC2). Subsequently, the successful discrimination of Telone and other compounds was quite possible through the principal component analysis of the transient responses of the OV25-modified electrode. In the second method, a molecularly imprinted polymer-coated sensor for Telone was developed. Molecularly imprinted polymer coated quartz crystal (MIP-QCN) showed a selective response to Telone and gave a linear relationship between frequency shift and amount of Telone from 1 to 48 mg L^?1. In this investigation, the proficiency of MIP-QCN and OV25-modified QCN sensors were compared.     

Development of a fast instrumental method for the analysis of pharmaceuticals in environmental and wastewaters based on ultra high performance liquid chromatography (UHPLC)-tandem mass spectrometry (MS/MS)

This work describes the development, optimization and validation of an analytical method for the simultaneous detection and identification of 74 pharmaceutically active compounds (PhACs), from various therapeutic groups, in both environmental (ground and surface water) and wastewaters (WW). The method is based on the simultaneous extraction of all target compounds by solid phase extraction (SPE), using a hydrophilic-lipophilic balanced polymer followed by ultra high performance liquid chromatography (UHPLC) tandem mass spectrometry (MS/MS). Two selected reaction monitoring (SRM) transitions have been monitored per compound in order to fulfil the EC guidelines, as well as to ensure an accurate identification of target compounds in the samples. Quantification is performed by internal standard approach, applying 24 specific isotopically labeled compounds. The main advantages of the developed method, besides the selectivity and reliability of the results, is its high throughput. All compounds are extracted in a single step and the instrumental analysis lasts 5 min (NI mode) + 8 min (PI mode), allowing fast throughput of samples. The limits of detection range from 0.01 to 50 ng L⁻¹, depending on the matrix, for most of the compounds. Finally, the method developed has been applied to the analysis of pharmaceuticals in the Ebro river basin (NE Spain).     

Positive vs. false detection: A comparison of analytical methods and performance for analysis of cyclic volatile methylsiloxanes (cVMS) in environmental samples from remote regions

Contamination and analytical variation can significantly hinder trace analysis of cyclic methyl volatile siloxanes (cVMS); potentially resulting in the report of false positives at concentrations approaching detection limits. To assess detection and variation associated with trace cVMS analysis in environmental matrices, a co-operative laboratory comparison for the analysis of octametylcyclotetrasiloxane (D4), decamethylcylcopentasiloxane (D5), and dodecametylcyclohexasiloxane (D6) in sediment and biota from the Svalbard Archipelago was conducted. Two definitions of detection limits were evaluated in this study; method detection limits (MDL, matrix defined) and limits of detection (LOD, solvent defined). D5 was the only cVMS detected above both LOD (0.08–0.81 ng g⁻¹ ww) and MDL (0.47–2.36 ng g⁻¹ ww) within sediment by all laboratories where concentrations ranged from 0.55 to 3.91 ng g⁻¹ ww. The percentage of positive detects for D5 decreased by 80% when MDL was defined as the detection limit. D5 was also detected at the highest frequency among all laboratories in fish liver with concentrations ranging from 0.72 to 345 ng g⁻¹ ww. Similar to sediment, percentage of positive detects for D5 decreased by 60% across all laboratories for fish livers when using MDL (0.68–3.49 ng g⁻¹ ww). Similar observations were seen with both D4 and D6, indicating that sample matrix significantly contributes to analytical response variation. Despite differences in analytical methods used between laboratories, good agreement was obtained when using MDL to define detection limits. This study shows the importance of incorporating variation introduced by sample matrices into detection limit calculations to insure data accuracy of cVMS at low concentrations.