北京市土地利用分布与水质响应空间关系研究

以北京市16个水质监测断面和饮用水源地作为研究对象,利用2009—2010年16个水质监测自动站监测数据与2009年北京市土地利用数据,分析不同缓冲区内土地利用与过境水质之间的响应关系。研究结果表明,耕地产生的农业非点源污染对水质影响明显;在大尺度区域增加林地面积比例有利于改善水质;离水源近的农村居民用地对水质产生负面影响;工业建设用地对水质影响在较大尺度上更为显著。     

生态补水对玄武湖水质的影响

分析南京玄武湖1997年-2010年的水质变化,以及生态补水与玄武湖水质变化的关系。结果表明,玄武湖于1998年实施生态补水,随着生态补水的持续运行和生态补水量的不断增加,玄武湖水质得以显著改善,其水质类别由生态补水前的劣V类水体转为V类水体,并接近于Ⅳ类水体,富营养化程度由重度富营养化水平转为轻度富营养化水平。目前玄武湖主要营养物质来源于生态补水,相关性分析显示各湖区TN浓度与生态补水中TN浓度呈显著相关关系。     

环境空气质量新标准对郑州和开封空气质量评价的影响

利用河南省环境空气质量新标准实施一期城市(郑州、开封)2013年的环境空气自动监测数据,分析了实施《环境空气质量标准》(GB 3095—2012)对这2个城市空气质量评价的影响。研究发现,若采用新标准,郑州、开封污染物年均浓度超标情况加重;城市空气质量达标率从51%、71%下降到35%和31%,下降了16和40个百分点;PM2.5的纳入是空气质量达标率下降的最主要原因,大于NO2标准的收严和CO、O3纳入评价指标的影响,其超标率分别为58%(郑州)和63%(开封);且PM2.5取代PM10成为郑州、开封的首要污染物,其作为首要污染物的比例均大于70%。     

关于加强全国环境监测站建设的思考

在分析现状的基础上,提出了加强全国环境监测站建设的对策与建议。     

Polycyclic aromatic hydrocarbons in surface sediments from drinking water sources of Taihu Lake, China: sources, partitioning and toxicological risk

Sources, partitioning and toxicological risk of 15 priority polycyclic aromatic hydrocarbons (PAHs) in surface sediments from drinking water sources of Taihu Lake, with an area of 2428 km(2) located in the most developed and populated area of China, were studied, and the results were compared with those in other lakes of China and the USA. Concentrations of the 15 PAHs in sediments ranged from 436.6 to 1334.9 ng g(-1) (dw). Gasoline combustion, coal combustion, diesel combustion from shipping and spillage of petroleum were apportioned to be the main sources of PAHs in this area by principal component analysis, which contributed 35.19%, 26.43%, 25.41% and 12.97% to the PAH sources estimated by further multiple linear regression. Levels of PAHs in sediments were negatively correlated with contents of clay and fine silt (<16 μm), while positively with contents of medium silt, coarse silt and sand (>16 μm). Humin with size larger than 16 μm contained the largest part of the burden of PAHs in sediments, but the specific partitioning domain (bound humic acid, lipid or insoluble residue) depended on properties of organic matter reflected by optical absorbance at 465 and 665 nm. Total toxic benzo[a]pyrene equivalent (TEQ(carc)) of the carcinogenic PAHs in sediments varied from 31.8 to 209.3 ngTEQ(carc) g(-1). Benzo[a]pyrene and dibenzo[a,h]anthracene contributed 45.36 and 25.31% to total TEQ(carc), posing high toxicological risk to this area.     

Development of a multi-criteria index ranking system for urban runoff best management practices (BMPs) selection

Low impact development best management practices (LID-BMPs) are considered to be cost-effective measures for mitigating the water quantity and quality impact of urban runoff. Currently, there are many types of LID-BMPs, and each type has its own intrinsic technical and/or economical characteristics and limitations for implementation. The selection of the most appropriate BMP type(s) for a specific installation site is therefore a very important planning step. In the present study, a multi-criteria selection index system (MCIS) for LID-BMP planning was developed. The selection indexes include 12 first-level indices and 26 second-level indices which reflect the specific installation site characteristics pertaining to site suitability, runoff control performance, and economics of implementation. A mechanism for ranking the BMPs was devised. First, each individual second-level index was assigned a numeric value that was based on site characteristics and information on LID-BMPs. The quantified indices were normalized and then integrated to obtain the score for each of the first-level index. The final evaluation scores of each LID-BMP were then calculated based on the scores for the first-level indices. Finally, the appropriate BMP types for a specific installation site were determined according to the rank of the final evaluation scores. In order to facilitate the application of the MCIS BMP ranking system, the computational process has been coded into a software program, BMPSELEC. A case study demonstrating the MCIS methodology, using an LID-BMP implementation planning at a college campus in Foshan, Guangdong Province, is presented.     

Accuracy and uncertainty assessment on geostatistical simulation of soil salinity in a coastal farmland using auxiliary variable

Understanding the spatial soil salinity aids farmers and researchers in identifying areas in the field where special management practices are required. Apparent electrical conductivity measured by electromagnetic induction instrument in a fairly quick manner has been widely used to estimate spatial soil salinity. However, methods used for this purpose are mostly a series of interpolation algorithms. In this study, sequential Gaussian simulation (SGS) and sequential Gaussian co-simulation (SGCS) algorithms were applied for assessing the prediction accuracy and uncertainty of soil salinity with apparent electrical conductivity as auxiliary variable. Results showed that the spatial patterns of soil salinity generated by SGS and SGCS algorithms showed consistency with the measured values. The profile distribution of soil salinity was characterized by increasing with depth with medium salinization (EC_e 4–8 dS/m) as the predominant salinization class. SGCS algorithm privileged SGS algorithm with smaller root mean square error according to the generated realizations. In addition, SGCS algorithm had larger proportions of true values falling within probability intervals and narrower range of probability intervals than SGS algorithm. We concluded that SGCS algorithm had better performance in modeling local uncertainty and propagating spatial uncertainty. The inclusion of auxiliary variable contributed to prediction capability and uncertainty modeling when using densely auxiliary variable as the covariate to predict the sparse target variable.     

Effects of fomesafen on soil enzyme activity,microbial population,and bacterial community composition

Fomesafen is a diphenyl ether herbicide that has an important role in the removal of broadleaf weeds in bean and fruit tree fields. However, very little information is known about the effects of this herbicide on soil microbial community structure and activities. In the present study, laboratory experiments were conducted to examine the effects of different concentrations of fomesafen (0, 10, 100, and 500 μg/kg) on microbial community structure and activities during an exposure period of 60 days, using soil enzyme assays, plate counting, and denaturing gradient gel electrophoresis (DGGE). The results of enzymatic activity experiments showed that fomesafen had different stimulating effects on the activities of acid phosphatase, alkaline phosphatase, and dehydrogenase, with dehydrogenase being most sensitive to fomesafen. On the tenth day, urease activity was inhibited significantly after treatment of different concentrations of fomesafen; this inhibiting effect then gradually disappeared and returned to the control level after 30 days. Plate counting experiments indicated that the number of bacteria and actinomycetes increased in fomesafen-spiked soil relative to the control after 30 days of incubation, while fungal number decreased significantly after only 10 days. The DGGE results revealed that the bacterial community varied in response to the addition of fomesafen, and the intensity of these six bands was greater on day 10. Sequencing and phylogenetic analyses indicated that the six excised DGGE bands were closely related to Emticicia, Bacillus, and uncultured bacteria. After 10 days, the bacterial community exhibited no obvious change compared with the control. Throughout the experiment, we concluded that 0–500 μg/kg of fomesafen could not produce significant toxic effects on soil microbial community structure and activities.     

矿区环境污染现状及防控对策——以煤矿为视角

随着城市化进程的加快,能源资源的需求呈逐年递增态势,由此引发的环境问题日趋突出.生态破坏、环境污染已成为制约经济社会发展的一个重要因素.煤炭的开采和加工所产生的大量废矸石、废气、废水给周边生态环境产生严重影响,及时掌握矿区环境污染现状,采取行之有效的防治措施,具有极其重要的现实意义.     

内江市磷肥厂磷矿石,磷肥样品中天然铀,镭—226含量分析

本文报道了内江市８个磷肥的磷肥及其原料矿石中天然铀，＾２２６Ｒａ含量水平，其结果为，磷肥样品中＾２２６Ｒａ含量２４５．８±１１２．９Ｂｑ．ｋｇ＾－１，天然铀含量２７．２±１６．４ｐｐｍ；磷矿石样品中＾２２６Ｒａ含量４０７．６±９４．３Ｂｑ．ｋｇ＾－１，天然铀含量３１．４±２１．０ｐｐｍ。