西辽河上游河水水质污染趋势分析与防治对策

文中利用市及旗县区监测站近几年监测数据对西辽河上游的污染程序进行了讨论 ,并进行了趋势分析 ,提出污染防治对策 ,旨在为辽河治理提供参考     

基于因子分析定权法的丹江口水库水体营养度综合评价

指标权重值的确定是多指标水质评价法实际应用中的关键问题。针对模糊评价等方法中权重值确定所具有的主观性,提出了基于因子分析定权的水质综合评价法及富营养化指数的概念,并将其应用于南水北调中线工程水源地-丹江口水库水体营养度的综合评价。结果表明,丹江口库区的污染物类型可以分为两类;丹江口库区水体营养度全年时段内均处于中营养化水平,但是,不同采样点、不同季节时的水体富营养化指数的差异还是较大的。总体来看,丹江口库区中,小太平洋水质最好,陶岔水质次之,大石桥水质最差。     

Soil carbon and nitrogen dynamics in the first year following herbicide and scalping in a revegetation trial in south-east Queensland,Australia

During revegetation, the maintenance of soil carbon (C) pools and nitrogen (N) availability is considered essential for soil fertility and this study aimed to evaluate contrasting methods of site preparation (herbicide and scalping) with respect to the effects on soil organic matter (SOM) during the critical early establishment phase. Soil total C (TC), total N (TN), hot-water extractable organic C (HWEOC), hot-water extractable total N (HWETN), microbial biomass C and N (MBC and MBN), total inorganic N (TIN) and potentially mineralizable N (PMN) were measured over 53 weeks. MBC and MBN were the only variables affected by herbicide application. Scalping caused an immediate reduction in all variables, and the values remained low without any sign of recovery for the period of the study. The impact of scalping on HWETN and TIN lasted 22 weeks and stabilised afterwards. MBC and MBN were affected by both herbicide and scalping after initial treatment application and remained lower than control during the period of the study but did not decrease over time. While scalping had an inevitable impact on all soil properties that were measured, that impact did not worsen over time, and actually improved plant growth (unpublished data) while reducing site establishment costs. Therefore, it provides a useful alternative for weed control in revegetation projects where it is applied only once at site establishment and where SOM would be expected to recover as canopy closure is obtained and nutrient cycling through litterfall commences.     

应用LDN-1氮氧化物脱除剂实现催化再生烟气NOx达标排放

独山子炼油厂催化裂化装置再生烟气中NOx含量达到1300-1400mg／m3(国家排放标准<420mg／m3),对周围环境造成严重影响。应用LDN-1氮氧化物脱除剂后,催化再生烟气中的NOx含量由1300-1400 mg／m3降至420 mg／m3以下,实现了达标排放。     

Application of PCR and probe hybridization techniques in detection of airborne fungal spores in environmental samples

Specific PCR amplification and probe hybridization techniques were applied to examine the compositions of airborne fungi in samples from three different environments. The results from microscopic and CFU counting were compared to those of the molecular-based detections. The detection sensitivity for PCR amplifications was 9 to 73 spores and 1.3 to 19.3 CFUs per PCR reaction. The hybridization detection limit was 2 to 4 spores and 0.2 to 1.2 CFU. The hybridization method was more sensitive than PCR amplification and showed less variation among samples. Using specific PCR primers and probes we identified the presence of several fungal groups and species in the air samples. Specific detections through probe hybridization to PCR products amplified with universal or group-specific fungal primers have promising applications in the examination of air samples for environmental monitoring.     

基于遗传算法的袋式除尘器脉冲喷吹清灰自适应模糊控制

针对当前主流的袋式除尘器定时、定压差脉冲喷吹清灰控制技术所表现的控制效果不理想、压缩空气消耗高以及无法自动调节清灰周期等问题,提出了一种基于控制规则可调的脉冲喷吹清灰自适应模糊控制方法。研发了一种脉冲喷吹清灰控制结构模型及自适应模糊控制器,将模糊控制规则按阻力偏差的大小分为4个等级并分别引入调整因子,以阻力偏差的时间误差绝对值积分(ITAE)作为目标函数,通过遗传寻优得到最优调整因子,进而得到能够根据不同工况条件自适应调节清灰周期的模糊控制规则。实验结果表明:相较于优化前的模糊控制器,该自适应模糊控制器超调量小、响应速度提升39.5%;与定时、定压差控制相比,自适应模糊控制能够维持过滤阻力的稳定性,分别节省耗气量34.0%、5.4%。在脉冲喷吹清灰控制系统中,该自适应模糊控制方法使控制效果得到较大提高。     

室内环境中微生物与挥发性有机化合物相关性的初步探讨

采集室内环境空气中菌落,经培养后分别将微球菌属、葡萄球菌属、芽孢杆菌属、曲霉属、青霉属的纯培养物转接到培养皿上,然后放入环境测试舱密闭环境中进行放大培养。分析菌落放大培养前后环境测试舱内空气中VOCs组成及其含量水平。结果表明,检测的100种挥发性有机化合物中有42种化合物在扩大培养后浓度升高,而30种化合物的浓度下降。微生物在生长代谢过程中既能分解空气中的一些毒害性有机污染物,也能产生一些毒害性有机污染物。     

澳大利亚哈龙管理对我国的启示

概述了我国履行国际公约淘汰哈龙的整体情况,分析相关管理政策执行现状,指出了我国哈龙管理中存在的问题。根据澳大利亚哈龙回收和再利用管理的经验,提出在中国设立哈龙银行并实行三级管理机制,开发替代技术以及加强回收再利用等哈龙管理建议。     

Statistical regression modeling for energy consumption in wastewater treatment

Wastewater treatment is one of critical issues faced by water utilities, and receives more and more attentions recently. The energy consumption modeling in biochemical wastewater treatment was investigated in the study via a general and robust approach based on Bayesian semi-parametric quantile regression. The dataset was derived from a municipal wastewater treatment plant, where the energy consumption of unit chemical oxygen demand (COD) reduction was the response variable of interest. Via the proposed approach, the comprehensive regression pictures of the energy consumption and truly influencing factors, i.e., the regression relationships at lower, median and higher energy consumption levels were characterized respectively. Meanwhile, the proposals for energy saving in different cases were also facilitated specifically. First, the lower level of energy consumption was closely associated with the temperature of influent wastewater, and the chroma-rich wastewater also showed helpful in the execution of energy saving. Second, at median energy consumption level, the COD-rich wastewater played a determinative role in the reduction of energy consumption, while the higher quality of treated water led to slightly energy intensive. Third, the higher level of energy consumption was most likely to be attributed to the relatively high temperature of wastewater and total nitrogen (TN)-rich wastewater, and both of the factors were preferably to be avoided to alleviate the burden of energy consumption. The study provided an efficient approach to controlling the energy consumption of wastewater treatment in the perspective of statistical regression modeling, and offered valuable suggestions for the future energy saving.     

Fingerprinting Global Climate Change and Forest Management Within Rhizosphere Carbon and Nutrient Cycling Processes

As one of the two Principal Subject Editors for ESPR Subject Area 1 'Terrestrial Ecology and Biology / Soil and Sediments: Toxicology-related Subjects' (see pp 287-293), the senior author and his colleague, Dr Chen, present an example of sub-category 4 'Environmental studies of pesticides, air pollution, and management strategies for forestry and plant ecosystems'. Thereby, they inform the ESPR community about the new Australian research project concerning the fingerprints of global climate change (GCC) and forest management on rhizosphere carbon and nutrient cycling and, subsequently, present an overview on the GCC and forest management fingerprints.