吉林油田稠油热采污水处理絮凝剂实验研究＊

在含油污水水质分析的基础上,采用烧杯实验和分光光度法研究絮凝剂的絮凝效果。筛选出以无机絮凝剂硫酸铝与两性高分子聚合物CE-3090的复配体系,同时研究了影响絮凝效果的因素并探究了其影响机理。结果表明:在温度为40℃,pH为7.72,170 r/min时高速搅拌1 min,然后50 r/min低速搅拌5 min,硫酸铝的加量为90 mg/L、CE-3090的加量为0.5 mg/L,絮凝沉降30 min后其絮凝效果较好。实验证明:该复配处理剂处理含油污水后,含油量和杂质含量都达到了SY/T 5329-94《碎屑岩油藏注水水质推荐指标及分析方法》油田污水回注的要求。     

Water Hyacinth in China: A Sustainability Science-Based Management Framework

The invasion of water hyacinth (Eichhornia crassipes) has resulted in enormous ecological and economic consequences worldwide. Although the spread of this weed in Africa, Australia, and North America has been well documented, its invasion in China is yet to be fully documented. Here we report that since its introduction about seven decades ago, water hyacinth has infested many water bodies across almost half of China’s territory, causing a decline of native biodiversity, alteration of ecosystem services, deterioration of aquatic environments, and spread of diseases affecting human health. Water hyacinth infestations have also led to enormous economic losses in China by impeding water flows, paralyzing navigation, and damaging irrigation and hydroelectricity facilities. To effectively control the rampage of water hyacinth in China, we propose a sustainability science-based management framework that explicitly incorporates principles from landscape ecology and Integrated Pest Management. This framework emphasizes multiple-scale long-term monitoring and research, integration among different control techniques, combination of control with utilization, and landscape-level adaptive management. Sustainability science represents a new, transdisciplinary paradigm that integrates scientific research, technological innovation, and socioeconomic development of particular regions. Our proposed management framework is aimed to broaden the currently dominant biological control-centered view in China and to illustrate how sustainability science can be used to guide the research and management of water hyacinth.     

Chemical characterization and source identification of PM2.5 in Luoyang after the clean air actions

Luoyang is a typical heavy industrial city in China, with a coal-dominated energy structure and serious air pollution. Following the implementation of the clean air actions, the physicochemical characteristics and sources of PM_2.5 have changed. A comprehensive study of PM_2.5 was conducted from October 16, 2019 to January 23, 2020 to evaluate the effectiveness of previous control measures and further to provide theory basis for more effective policies in the future. Results showed that the aerosol pollution in Luoyang in autumn and winter is still serious with the average concentration of 91.1 μg/m³, although a large reduction (46.9%) since 2014. With the contribution of nitrate increased from 12.5% to 25.1% and sulfate decreased from 16.7% to 11.2%, aerosol pollution has changed from sulfate-dominate to nitrate-dominate. High NO₃⁻/SO₄²⁻ ratio and the increasing of NO₃⁻/SO₄²⁻ ratio with the aggravation of pollution indicating vehicle exhaust playing an increasingly important role in PM_2.5 pollution in Luoyang, especially in the haze processes. Secondary inorganic ions contributed significantly to the enhancement of PM_2.5 during the pollution period. The high value of Cl⁻/Na⁺ and EC concentration indicate coal combustion in Luoyang is still serious. The top three contributor sources were secondary inorganic aerosols (33.3%), coal combustion (13.6%), and industrial emissions (13.4%). Close-range transport from the western and northeastern directions were more important factors in air pollution in Luoyang during the sampling period. It is necessary to strengthen the control of coal combustion and reduce vehicle emissions in future policies.     

企业料场喷淋抑尘系统

针对某球团厂料场在堆、取料时产生的扬尘,采用先进的喷雾重力降尘技术和PLC控制技术,对料场进行定点、定时、定量喷淋,抑尘效果显著.     

Effects of particle size on the adsorption behavior and antifouling performance of magnetic resins

Environmental Science and Pollution Research - Adequately choosing the physicochemical characteristics of adsorbent is crucial in improving its adsorption performance. This work investigated the...     

亚硝态氮胁迫下菲律宾蛤仔实时定量P CR内参基因的筛选

为了更好地从基因角度研究亚硝态氮对贝类的生态毒性,需要筛选一个合适的内参基因作为参考,对其毒性相关基因进行定量表达分析。本研究以菲律宾蛤仔(Ruditapes philippinarum)作为研究对象,以亚硝态氮胁迫的鳃组织cDNA作为模板,利用geNorm软件和NormFinder软件对6个候选内参基因进行表达稳定性分析,并对2个结果做了综合赋权分析。结果显示,geNorm分析的基因表达稳定性结果为ActinCyPAEF1αUbi18STubu,NormFinder软件分析的结果为ActinUbiCyPAEF1α18STubu,最后经加权赋值法综合分析获得6个候选基因的表达稳定性为ActinCyPAUbiEF1α18STubu,即Actin为表达最稳定的基因。因此,Actin可以作为衡量亚硝态氮胁迫后菲律宾蛤仔鳃组织中基因表达的内参基因。     

Effects of intercropping with floricultural accumulator plants on cadmium accumulation in grapevine

Environmental Science and Pollution Research - Grapevine (Vitis vinifera L.) intercropping with floricultural cadmium (Cd) accumulator plants (Helianthus annuus L., Cosmos sulphureus Cav., Cosmos...     

中国淘汰滴滴涕的环境影响分析

目前中国仍在生产滴滴涕(DDT),并以其为原料生产三氯杀螨醇作为杀虫剂使用.为评价淘汰DDT对于中国生态环境的影响,采用情景分析的方法,估算了在采取不同的淘汰策略下土壤中DDT残留浓度的变化,以此来评价淘汰DDT的环境影响.与基线情景相比,三种控制情景下DDT的累积生产量都有不同程度的减少,相应土壤中的残留浓度也有不同的下降,且淘汰的速度越快土壤中DDT浓度下降的幅度越大.     

基于PCA-RBF神经网络的地铁车站火灾风险评估

为避免地铁车站火灾事故的发生,帮助地铁车站管理部门做好火灾风险评估工作,提出基于PCA-RBF神经网络的地铁车站火灾风险评估模型。采用主成分分析法(Principal Component Analysis,PCA)对风险评价指标体系进行降维处理,并将降维后的主成分作为RBF神经网络的输入变量;选择具有代表性的样本数据训练RBF神经网络,并用检验样本测试训练效果;最后,输入待测样本数据得出火灾风险评估结果。通过实例对比分析,验证了该评估模型在地铁车站火灾风险评估中的可行性与准确性,对类似项目火灾风险评估具有一定参考意义。     

磁性絮凝剂处理景观生态水的实验条件探讨

研究了利用粉煤灰制成的磁性絮凝剂处理景观生态水的各种单因素实验,并且用正交实验的方法对该磁性絮凝剂处理景观生态水的实验条件进行了优化选择,研究了该磁性絮凝剂处理景观生态水的一般规律。实验结果表明,当操作条件为：投加量为200mg/L,搅拌时间为1min,搅拌速度为300r/min和磁吸附时间为1.5min时,取得最佳处理效果。在此实验条件下,景观生态水的COD、总P及氨氮的去除率分别可达76.15%、59.54%与53.36%。