鄱阳湖流域农村生活区面源污染特征及其影响

农村生活区水环境是流域水环境的重要组成部分。鄱阳湖流域是我国的重要农业生产区,农村人口众多,未经过处理的生活污水、生活垃圾和固体废弃物、分散畜禽养殖污染由于无序排放导致了鄱阳湖流域河湖水质下降,湖泊富营养化指数升高。通过采用污染物当量算法对鄱阳湖流域农村生活区面源污染估算,分析了1991~2011年农村生活污染现状及其趋势,并分析了鄱阳湖河湖水质变化趋势及其在农村生活区面源污染中的影响因子。研究结果表明：（1）1991～2011年,鄱阳湖流域农村人口、生活污染、生活垃圾和固体废弃物污染、分散畜禽养殖污染不断增加,其中农村生活污水污染物排放量、TN、TP和COD排放量增长了1268%,年平均增长量分别为036、002、1681和021万t;固体废弃物排放量、TN和TP排放量增加了1268%,年增长量分别为362、076和080万t;分散畜禽养殖污染TN、TP和COD的含量分别增长了9913%、6384%和7227%,年均增长量分别为022、003和009万t;（2）2000年以来,鄱阳湖流域河湖水质呈下降趋势,其中鄱阳湖湖泊的水质和富营养化指数下降趋势分别在001和005水平上具有显著性;（3）鄱阳湖流域农村生活区面源污染对流域水环境具有一定的影响,其中分散畜禽养殖污染的影响相对较大     

Optimizing mixture properties of biodiesel production using genetic algorithm-based evolutionary support vector machine

Nowadays, biodiesel is used as one of the alternative renewable energy due to the increasing energy demand. However, optimum production of biodiesel still requires a huge number of expensive and time-consuming laboratory tests. To address the problem, this research develops a novel Genetic Algorithm-based Evolutionary Support Vector Machine (GA-ESIM). The GA-ESIM is an Artificial Intelligence (AI)-based tool that combines K-means Chaotic Genetic Algorithm (KCGA) and Evolutionary Support Vector Machine Inference Model (ESIM). The ESIM is utilized as a supervised learning technique to establish a highly accurate prediction model between the input--output of biodiesel mixture properties; and the KCGA is used to perform the simulation to obtain the optimum mixture properties based on the prediction model. A real biodiesel experimental data is provided to validate the GA-ESIM performance. Our simulation results demonstrate that the GA-ESIM establishes a prediction model with better accuracy than other AI-based tool and thus obtains the mixture properties with the biodiesel yield of 99.9%, higher than the best experimental data record, 97.4%.     

The characteristics of fatal occupational injuries in Korea’s construction industry, 1997–2004

This study is aimed at exploring the characteristics of fatal occupational injuries in Korea’s construction industry and comparing the causes in various occupations within that industry. There were 10,276 fatal occupational injury victims in Korea over 8 years (1997–2004). The mortality risk due to injuries in construction and non-construction industries was calculated, and their causes were compared. The number of victims of fatal occupational injuries in the construction industry was 4333 (42.2% of the total fatal occupational injuries), and the 1 year mortality risk was higher (23.7/100,000 persons) than in non-construction industries (10.4). Falling was the most frequent (52.7%) cause of fatal injuries. In addition, deaths due to structural collapse and electric shock were significantly higher than in other industries. When the distribution of the causal factors in various occupations within the construction industry was investigated, some factors appeared more frequently in certain occupations than in others. As the construction industry encompasses a large proportion of occupational injuries, a reduction in this field alone will substantially contribute to an overall reduction of occupational injuries in Korea. Further research for effective prevention is needed.     

以长春为例研究环境空气中TSP、PM_(10)和PM_(2.5)的相关性

选取长春市解放大路与人民大街的交叉口为研究地点,分别进行TSP、PM10和PM2.5的采样和分析.然后利用相关系敷法和t检验对测定结果进行相关性分析,得到备元素的含量在三种污染物中的相关系敖:在TSP与PM10中为0.9349;在PM2.5与PM10中为0.8797;在TSP与PM2.5中为0.7824.得到各元素含量在三种污染物中的T检验统计值,在TSP与PM10中为0.90103;在PM2.5与PM10中为0.04745;在TSP与PM2.5中为0.047986.从分析结果可以看出,各元素含量在TSP与PM10中的相关性最好,在PM2.5与PM10中次之,研究结果为相关环境管理提供科学依据.     

Effect of amorphous silica and silica sand on removal of chromium(VI) by zero-valent iron

The effect of two surfaces (amorphous silica and silica sand) on the reduction of chromium(VI) by zero-valent iron (Fe(0)) was investigated using batch reactors. The amendment of both surfaces significantly increased the rate and extent of Cr(VI) removal. The rate enhancement by amended surfaces is presumed to result from scavenging of Fe(0)-Cr(VI) reaction products by the provided surfaces, which minimized surface deactivation of Fe(0). The rate enhancing effect was greater for silica compared to sand, and the difference is attributed to silica's higher surface area, greater affinity for reaction products and pH buffering effect. For a given mass of Fe(0), the reactivity and longevity of Fe(0) to treat Cr(VI) increased with increasing dose of silica. Elemental analyses of the reacted iron and silica revealed that chromium removed from the solution was associated with both surfaces, with its mass distribution being approximately 1:1 per mass of iron and silica. The overall result suggests reductive precipitation was a predominant Cr(VI) removal pathway, which involves initial reduction of Cr(VI) to Cr(III), followed by formation of Cr(III)/Fe(III) hydroxides precipitates.     

QSARs for the toxicity of polychlorinated dibenzofurans through DFT-calculated descriptors of polarizabilities, hyperpolarizabilities and hyper-order electric moments

DFT-B3LYP method with 6-31G(**) basis set was employed to fully optimize the electronic structures of 135 polychlorinated dibenzofurans and parent compound, namely dibenzofuran. It was demonstrated that polarizability anisotropy and mean polarizability could change sensitively and systematically with chlorine number and substitution pattern. And new quantitative structure-activity relationships (QSARs) focused on the binding affinities of aryl hydrocarbon receptor (AhR), aryl hydrocarbon hydroxylase (AHH) and 7-ethoxyresorufin O-deethylase (EROD) induction potencies of PCDFs were developed. It was concluded that polarizability anisotropy in conjunction with hyperpolarizabilties and hyper-order electric moments, e.g. octupole moments could well interpret the variation of toxicity of different congeners and dispersion interaction should be the leading form among various interactions. Although the terms of hyperpolarizabilities and hyper-order electric moments were not the same significant ones as polarizability anisotropy, the long-range interactions characterized by them should not be ignored in explaining the toxicity.     

Ambient air monitoring of PCDD/Fs and co-PCBs in Gyeonggi-do, Korea

We started the monitoring for PCDD/Fs in ambient air and soil in August 2001, and co-PCBs in January 2002. Decreasing of PCDD/Fs and co-PCBs levels in ambient air were observed. The higher PCDD/Fs levels were found in winter and lower in autumn. We found that the industrial incinerators influenced the PCDD/Fs levels in ambient air. In the 2,3,7,8-substituted PCDD/Fs concentration profiles, the three major congeners occupied 67% of the total mass. In case of co-PCBs, PCB#118, #105 and #77 were observed as the main congeners. Five cluster groups discriminated by ratio of four components, O(8)CDD, 1,2,3,4,6,7,8-H(7)CDD, 1,2,3,4,6,7,8-H(7)CDF and O(8)CDF, were obtained from HCA (hierarchical cluster analysis).     

有机中性化技术对重金属污染土壤锌有效性的长期影响

通过田间定位试验,研究了石灰(L)、钙镁磷肥(G)、泥炭(P)、猪粪(M)、石灰 泥炭(L P)、石灰 猪粪(L M)、钙镁磷肥 泥炭(G P)、钙镁磷肥 猪粪(G M)等改良材料对新罗区特钢厂附近的重金属污染田的长期改良效应.结果表明:大部分处理可提高土壤的pH值、有机质含量,降低了土壤的有效锌含量,石灰 泥炭、钙镁磷肥 泥炭的改良效果要优于单施有机、中性化改良剂和其它处理,和对照相比,有效锌含量和糙米锌含量最高分别降低了59.2%、36.2%.     

Histopathological changes in zebrafish embryos exposed to DLPCBs extract from Zhanjiang coastal sediment

Dioxin-like polychlorinated biphenyls (DLPCBs) are ubiquitous persistent pollutants that cause adverse effects in many environmental organisms. DLPCBs in marine sediments can be absorbed by benthic organisms, bioaccumulate, and biomagnify through the food chain and threaten animal and human health. There are no reports of DLPCBs concentrations in the Zhanjiang Gulf seabed. This study was designed to investigate the concentration of DLPCBs in the Zhanjiang coastal sediment and histopathological changes in zebrafish (Diano rerio) embryos exposed to environmentally relevant concentrations of DLPCBs. Of the five sites selected, two sites TS and JSW contained DLPCBs at concentrations of 0.08 and 22.54 ng/g dry sediment, respectively. Two groups of zebrafish embryos were used. One group was exposed to 3.75, 7.5, 15, 30, and 60 mg/ml of DLPCBs extracted from the sediments sampled from the TS site and the second group to 4.375, 8.75, 17.5, 35, and 70 mg/ml of DLPCBs from JSW site from 0.75 h post-fertilization (hpf) to 96 hpf. The zebrafish exposed to 60 and 70 mg/ml of DLPCBs at 96 hpf displayed gross histopathological changes with cardiac lesions including pericardial edema being the most deleterious. Other changes observed were hydropic degeneration of gill filaments and hepatocytes, loss of intestinal folds, and uninflated swim bladder. It appears that only a few sites of the Zhanjiang gulf are contaminated with DLPCBs. This is the first report of histopathological changes in the gills, hepatocytes, intestines, heart, and the swim bladder in zebrafish embryos exposed to DLPCBs from a coastal sediment. Further studies with sampling at different stages of development are required to identify which organ/tissue is most sensitive to DLPCBs.     

Assessing soil and groundwater contamination in a metropolitan redevelopment project

The purpose of this study was to assess contaminated soil and groundwater for the urban redevelopment of a rapid transit railway and a new mega-shopping area. Contaminated soil and groundwater may interfere with the progress of this project, and residents and shoppers may be exposed to human health risks. The study area has been remediated after application of first remediation technologies. Of the entire area, several sites were still contaminated by waste materials and petroleum. For zinc (Zn) contamination, high Zn concentrations were detected because waste materials were disposed in the entire area. For petroleum contamination, high total petroleum hydrocarbon (TPH) and hydrocarbon degrading microbe concentrations were observed at the depth of 7 m because the underground petroleum storage tank had previously been located at this site. Correlation results suggest that TPH (soil) concentration is still related with TPH (groundwater) concentration. The relationship is taken into account in the Spearman coefficient (α).