概率稀释模型及其在污染物总量控制中的应用

本文简要介绍了概率稀释模型的理论基础及其改进方法，以肥城市康汇河为例，应用该模型确定了河流污染物各总量控制方案下的水质目标及其达标率，阐明了该模型在水体污染物总量控制中的应用。     

旋转水射流清洗钢管内外表面的方法

以小型三柱塞泵为动力,利用两套旋转水射流同时对钢管内外表面进行清洗,清洗喷头的移动和被清洗件的替换动作,由三柱塞泵驱动的液压油缸及其牵引的钢丝绳操作,系统仅有单一动力装置。旋转接头采用胶状体拦截固体颗粒,利用悬浮安装的Ｏ 型圈密封压力;可在压力１２ＭＰａ 以下,输送磨料浆液,每分钟３００ 转时,寿命可达１０００ 小时。清洗液可以进行加热,并过滤循环使用。该方法已在煤矿单体液压支柱的清洗作业中得到使用,清洗速度达到每小时（４０～６０）根缸筒或活塞柱。     

原子吸收分光光度法测定镉污染人群头发镉含量

发样经硝酸消解,用火焰原子吸收分光光度法测定镉含量。探讨了９种共存元素的干扰程度,采用模拟人发元素组成的标准样制作标准曲线,以修正基体效应。     

大纵湖大型底栖动物群落结构与水质生物学评价

2013年1月中旬对大纵湖5个采样点的大型底栖动物进行调查,共采集底栖动物29种,其中DZ1的优势种为苏氏尾鳃蚓(Branchiura sowerbyi);其他各点的优势种为长角涵螺(Alocinma longicornis)。采用理化分析、Shannon-Wiener指数、Margalef指数、BPI指数对各点水质进行了综合评价。结果表明:DZ4属于β-中污染水质,其他各点属于α-中污染水质;对主要的环境因子与底栖动物密度进行相关性分析,发现DO与底栖动物群落未显著相关,NH3-N、NO-3-N、CODMn等因子更能代表水体的污染水平和营养状态,且随着营养状态的升高,耐污种类的颤蚓类数量呈现出增高趋势;寡毛类、蛭类、摇蚊幼虫、水生昆虫和软体动物5者之间除了寡毛类和蛭类存在极显著正相关性之外,其他无显著相关性。     

雾霾的预防和控制措施研究

雾霾的形成,主要是城市静风、大气逆温层以及大气中细颗粒物污染的综合效应。控制和预防雾霾,应该加强机动车的监控、鼓励清洁能源汽车的研发、生产和销售。大力发展城市公共交通、建设城市公共自行车网络,严格建筑扬尘的管理和对重点大气污染源的治理,实行联防联控和区域联动机制,环保部门要全面开展雾霾监测,会同气象部门,结合气象参数等各方面资料,建立健全雾霾的预警预报体系,同时倡导全民低碳出行的生产、生活理念以及加强环保的宣传教育,提高全民环保意识。     

Biosynthesis of gold nanoparticles by Trichoderma sp. WL-Go for azo dyes decolorization

Developing an eco-friendly approach for metallic nanoparticles synthesis is important in current nanotechnology research. In this study, green synthesis of gold nanoparticles(AuNPs) was carried out by a newly isolated strain Trichoderma sp. WL-Go. UV–vis spectra of Au NPs showed a surface plasmon resonance peak at 550 nm, and transmission electron microscopy images revealed that the Au NPs were of varied shape with well dispersibility.The optimal conditions for Au NPs synthesis were HAuCl_4 1.0 mmol/L, biomass 0.5 g and pH 7–11. Moreover, the bio-Au NPs could efficiently catalyze the decolorization of various azo dyes. This research provided a new microbial resource candidate for green synthesis of Au NPs and demonstrated the potential application of bio-Au NPs for azo dye decolorization.     

基于熵权法和聚类分析法的成都市空气质量综合评价

传统方法在评价大气环境质量中存在因素较为单一等缺点,文章综合考虑多评价单元的多种指标,运用熵权系数法对成都市各区域AQI进行计算,以区域AQI年均值,区域年污染天数两个评价参数,构建成都市现阶段各区域空气质量状况的指标体系。同时利用聚类分析方法对成都市21个区县,根据空气质量指数AQI日均值进行结果验证。研究结果表明:郫县,青白江区和新都区综合评价等级最高,均在8.5以上,体现出这三个区域空气质量状况较差,综合评价等级较低的都江堰和蒲江县AQI年均值也较低,污染天数很少,其余区域的评分和其AQI以及污染天数均相符合,可以得出该综合评价模型可以很好的很客观的反映出各区域的空气质量状况。聚类分析呈现出较好的聚类效果,整个成都市各区域空气质量均值分布分为四大区域,较符合实际结果,可以为其他城市的空气质量综合评价提供一定的参考。     

遥感技术与陆地生态系统碳循环研究

在人类社会日益关注全球环境问题的今天,大气中CO2和CH4等温室气体浓度升高诱发的全球气候变化已成为可持续发展的最严峻挑战。因此,针对各个陆地生态系统的碳循环研究成为气候变化和区域发展研究的重点和关键。陆地生态系统中土地利用方式、植被种类等的变化,通过时间和空间的尺度来影响着全球碳循环,而遥感技术具有宏观、速度快、周期短、信息量大、多时相等特点,因此在植被覆盖和土地利用分类、碳循环遥感模型等方面都有着重要的应用。     

A land use regression for predicting NO2 and PM10 concentrations in different seasons in Tianjin region,China

Land use regression (LUR) model was employed to predict the spatial concentration distribution of NO2 and PM10 in the Tianjin region based on the environmental air quality monitoring data. Four multiple linear regression (MLR) equations were established based on the most significant variables for NO2 in heating season (R2 = 0.74), and non-heating season (R2 = 0.61) in the whole study area; and PM10 in heating season (R2 = 0.72), and non-heating season (R2 = 0.49). Maps of spatial concentration distribution for NO2 and PM10 were obtained based on the MLR equations (resolution is 10 km). Intercepts of MLR equations were 0.050 (NO2, heating season), 0.035 (NO2, non-heating season), 0.068 (PM10, heating season), and 0.092 (PM10, non-heating season) in the whole study area. In the central area of Tianjin region, the intercepts were 0.042 (NO2, heating season), 0.043 (NO2, non-heating season), 0.087 (PM10, heating season), and 0.096 (PM10, non-heating season). These intercept values might imply an area’s background concentrations. Predicted result derived from LUR model in the central area was better than that in the whole study area. R2 values increased 0.09 (heating season) and 0.18 (non-heating season) for NO2, and 0.08 (heating season) and 0.04 (non-heating season) for PM10. In terms of R2, LUR model performed more effectively in heating season than non-heating season in the study area and gave a better result for NO2 compared with PM10.     

Advanced treatment of dyeing wastewater towards reuse by the combined Fenton oxidation and membrane bioreactor process

The performance of combined Fenton oxidation and membrane bioreactor (MBR) process for the advanced treatment of an effluent from an integrated dyeing wastewater treatment plant was evaluated. The experimental results revealed that under the optimum Fenton oxidation conditions (initial pH 5, H 2 O 2 dosage 17 mmol/L, and Fe 2+ 1.7 mmol/L) the average total organic carbon (TOC) and color removal ratios were 39.3% and 69.5% after 35 min of reaction, respectively. Results from Zahn-Wallens Test also represented that Fenton process was effective to enhance the biodegradability of the test wastewater. As for the further purification of MBR process, TOC removal capacity was examined at different hydraulic retention times (HRT) of 10, 18 and 25 hr. Under the optimum HRT of 18 hr, the average TOC concentration and color of the final MBR effluent were 16.8 mg/L and 2 dilution time, respectively. The sludge yield coefficient was 0.13 g MLSS/g TOC and TOC degradation rate was 0.078 kg TOC/(m 3 ·day). The final effluent of MBR can meet the reuse criteria of urban recycling water-water quality standard for miscellaneous water consumption GBT18920-2002.