基于健康风险的三氯杀螨醇生产设备表面污染物筛选值推算的初步研究

运用确定性和概率性人体健康风险评估的方法,推算一般工业暴露情景和拆卸清理暴露情景下三氯杀螨醇生产设备表面污染物的筛选值.结果表明:p,p'-滴滴涕、p,p'-滴滴滴和p,p'-滴滴依基于确定性风险评估的设备表面筛选值在一般工业暴露情景下分别为0.224 mg/m2、0.214 mg/m2和0.151 mg/m2,在拆卸...     

火电厂冷却池热污染治理初探

通过系统的模型试验,以色水为示踪剂模拟热水,探讨排、取水口分列式布置的三维时间连续点源如何采用工程设施转换成无限长二维面源,以利用水面热交换解决火电厂冷却池热污染的治理问题。给出了出流近区流速分布及流量沿程变化的近似计算式。此研究成果对挖掘冷却池散热潜力,增加电厂装机容量具有实用推广价值     

渭河陕西段表层沉积物重金属污染特征及潜在风险

为了解渭河陕西段表层沉积物重金属的污染特征,采用ICP-MS分析了13个采样断面表层沉积物中As、Cd、Cr、Cu、Mn、Ni、Pb和Zn 8种重金属的含量,并对其来源和生态风险进行了评价。结果表明：渭河陕西段8种重金属的平均含量顺序依次为Mn > Zn > Cr > Cu > Ni > Pb > As > Cd;除Ni外的其余7种重金属的平均含量均超过陕西省A层土壤背景值。各断面表层沉积物重金属的潜在生态风险指数（RI）介于111.4~7 043.7,其中23.1%的断面有极强生态风险,46.2%的断面为中等生态风险,其余为轻微生态风险。Cd污染最为严重,对各断面的潜在生态风险介于较强生态风险与极强生态风险之间,对RI的贡献平均为85.2%;其余7种重金属在所有断面均属于轻微生态危害。渭河陕西段表层沉积物As、Cd、Cu和Zn主要为工业与农业来源;Cr和Ni主要为自然来源;Pb和Mn与城市污水和交通污染来源有关。     

臭氧数值预报模型综述

光化学大气质量模型在研究臭氧(O_3)污染以及O_3预报方面具有核心作用,是O_3污染防治决策者的有力工具。文章结合目前中国及国际区域尺度光化学大气质量预报模型的研究与应用,重点论述与O_3有关的大气化学过程在数值预报模型中的数学表达和计算方法,阐述大气物理与大气化学过程在主流大气质量数值预报模型中的实现方法及其优势和缺陷,介绍用于数值预报模型的大气物理过程和湍流参数化方案的最新进展。就当前O_3数值模拟的主要输入资料进行讨论,强调那些易被忽视但又显著影响模型预报能力和效果的诸多因素以及模型效果评估的重要性。结合O_3与复合型大气污染的关系,强调区域大气质量数值预报模型的发展趋势与方向以及在大气环境管理方面的意义和作用。     

大气磷干沉降采样方法对比分析

以四川农业大学成都校区为监测点,采用大气主动采样法(AA)、大气干表面法(ADS)及大气湿表面法(AWS)3种常用干沉降采集方法做大气磷干沉降通量对比试验。结果表明,3种采样方法获得的大气磷干沉降通量间具有显著的差异性及相关性(P0.05),三者间可以进行换算统一;AA法适用于较短采样周期的连续性监测研究,ADS法适用于较长采样周期(5 d)的监测研究,而AWS法更适用于在长采样周期(月)内选取一段时间作为干沉降监测的研究。     

塑料企业周边水体中多溴联苯醚的污染特征

多溴联苯醚(PBDEs)是一种新型的持久性有机污染物(POPs)。采用固相萃取-气相色谱法测定了某塑料企业周边及当地自然水体中的PBDEs浓度,主要针对BDE~(-1)7、28、47、66、85、99、100、138、153、154、183、203及BDE-209共13个PBDE同系物的浓度水平、组成分布和污染特征进行分析。结果显示,使用企业周边水体中除BDE-203在水体中未检出外,其余12种PBDE同系物均有不同程度的检出。Σ13PBDEs质量范围处于未检出~363 ng·L~(-1),各同系物的平均质量浓度为未检出~42.6ng·L~(-1)。其中BDE-209为最大检出质量丰度同系物,但其检出率仅为25.0%,检出率较高的同系物是BDE~(-1)7、BDE-28和BDE~(-1)00,检出率分别为75.0%、75.0%、58.3%,低溴代联苯醚的检出率显著高于高溴代联苯醚。当地自然水体中13种PBDEs均有不同程度的检出,检出浓度在0.161~1.83 ng·L~(-1)。企业周边水体中PBDEs的污染水平显著高于自然水体,是自然水体浓度的5~100倍。因此,企业周边区域水体中PBDEs的污染情况应引起相关部门关注。     

我国重点流域地表水中29种农药污染及其生态风险评价

针对我国重点流域水体,包括长江流域、黄河流域、太湖流域、松花江流域、黑龙江流域、东江流域、南水北调中线和东线等,分析了29种农药(18种有机氯农药、6种有机磷农药、3种三嗪类农药、1种酰胺类和1种取代杂环类农药)在流域地表水中浓度,并使用风险商的方法进行了生态风险评价。结果显示,在27个采样点地表水样中一共检出9种农药,包括α-六六六、α-氯丹、γ-氯丹、西玛津、阿特拉津、乙草胺、扑草净、敌敌畏和噁草酮。其中,阿特拉津、乙草胺、扑草净、噁草酮和敌敌畏的检出率分别为100.0%,74.1%,59.3%,37.0%和33.3%;α-六六六、α-氯丹、γ-氯丹和西玛津均只有1~2个采样点检出。阿特拉津在各采样点浓度范围为7.0 ng·L-1~1 289.5 ng·L-1;乙草胺浓度范围为未检出(ND)~579.9 ng·L-1;扑草净浓度范围为ND~104.2 ng·L-1;噁草酮浓度范围为ND~32.6 ng·L-1;敌敌畏的浓度范围为ND~204.5 ng·L-1。研究发现,阿特拉津在太湖流域、黑龙江流域和松花江流域具有潜在生态风险;乙草胺在松花江流域有潜在生态风险;噁草酮在长江流域、太湖流域、松花江流域和黑龙江流域有潜在生态风险;敌敌畏在长江流域、黄河流域和东江流域具有潜在生态风险。上述4种需要重点关注的水体污染物中,仅阿特拉津和敌敌畏被列入地表水环境质量标准(GB3838-2002),但都没有保护水生生物或保护水生态的标准。     

根表铁膜对水稻吸收转运稀土元素Ce的影响

采用溶液培养的方法探讨根表铁膜形成对水稻吸收积累和转运稀土元素Ce的影响。结果表明,Ce污染胁迫可抑制水稻根表铁膜的形成,根表铁膜吸附的Ce量随着溶液中Ce浓度的提高而增加。根表铁膜形成可降低水稻根系但提高水稻茎叶对Ce的吸收积累。当溶液中Ce浓度为0.1、0.5和1.0 mmol·L~(-1)时,铁膜诱导组水稻根系Ce含量分别比非诱导组水稻根系Ce含量降低38.60%、45.94%和32.75%,诱导组水稻茎叶Ce含量分别比非诱导组水稻茎叶Ce含量提高42.37%、28.87%和22.62%。根表铁膜形成可影响Ce在水稻植株中的富集和转运能力。非诱导组水稻根系富集Ce的能力远大于茎叶。诱导组水稻根系对Ce的富集能力最强,其次是根表铁膜,最后是水稻茎叶。诱导组水稻根系Ce转运系数显著大于非诱导组的根系,说明根表铁膜形成可促进水稻根部Ce向茎叶中转运。可见,根表铁膜对水稻吸收转运稀土元素的影响机理比较复杂。     

Klebsiella pneumoniae metabolites enhance Microcystis aeruginosa biomass flocculation

Microcystis aeruginosa is a common aquatic toxin-producing cyanobacterium. This study explores M. aeruginosa biomass recovery using bioflocculation. Bioflocculants produced by Klebsiella pneumoniae significantly enhanced aquatic M. aeruginosa flocculation efficiency. Under neutral and acidic conditions, flocculation efficiency reached 90%, whereas flocculation efficiency was 75% under alkaline conditions. M. aeruginosa flocculation was ion dependent, and Ca²⁺ was determined to be the most effective cationic inducer. Negatively charged proteoglycans were identified as the being the functional components in the flocculants. Optimal conditions for M. aeruginosa flocculation were determined using response surface methodology and are as follows: (1) K. pneumoniae bioflocculant dose, 13.3?mg/L; (2) flocculation time, 1.6 hours; and (3) pH?=?5 for flocculation of 10⁹ cells per litre. Bioflocculation using K. pneumoniae represents a promising method to control development of M. aeruginosa blooms. Further in-field investigations are necessary to fully assess its potential.     

Duckweed Landoltia punctata purifies micro-polluted surface water and produces starch北大核心CSCD

Aquatic plant duckweed has remarkable potential in nutritional water purification and starch accumulation; at present, it has received increasing attention. This study aimed to investigate the ability of duckweed in nutrient recovery from micro-polluted surface water; further, the starch accumulation capacity of duckweed was evaluated. The results showed that duckweed can achieve better depth treatment of the micro-polluted surface water, within 1-day treatment, by duckweed. Ammonia nitrogen and total phosphorus status of Class V and worse than class V water was improved to a superior level; moreover, the nitrogen and phosphorus removal rates were 98.5% and 82.9%, respectively. In addition, duckweed can rapidly accumulate starch during water treatment. The starch content of duckweed was 28.38% and 21.57% (dry weight) in Class V and worse than class V wastewater after 3 days of treatment, respectively, and reached 52.15% and 49.58% on day 15. Moreover, additional carbon dioxide (CO2) supplementation promoted the starch production. The starch content increased by 55.7% compared with that of control, and the average starch accumulation rate increased by 2.72 times in 3 days. Therefore, duckweed can not only rapidly purify micro-polluted water, but also accumulate a large amount of starch. This study forms the basis for wastewater treatment and post-treatment utilization of duckweed biomass. © 2018 Science Press. All rights reserved.