风险积分参数RI在LPG站风险分析及评价中的应用

对液化石油气站选址风险进行定量分析,判断风险的可接受性,从而确定选址是否合理.拟建液化石油气站的F/N曲线未知,辨识液化石油气站可能发生的最严重事故,并应用风险积分参数确定液化石油气站的风险.经判断,液化石油气站可能发生的最严重事故为沸腾液体扩展蒸气爆炸(BLEVE),应用BLEVE火球模型对事故后果进行评价并确定事故影响范围,进而确定影响范围内的最大人数及事故发生频率,在此基础上对LPG站的风险积分参数进行计算.将计算结果与英国安全卫生执行局应用ALARP准则制定的风险可接受标准进行比较.结果表明,该液化石油气站的风险处于合理可接受区.采取一定风险减缓措施后,可考虑在此地点建设液化石油气站.     

多米诺效应的风险分析方法

介绍与分析多米诺效应的相关研究,并针对多米诺效应的定量风险分析,建立了从多米诺场景辨识到后果分析的多米诺效应定量分析方法.通过分析初始事故带来的物理效应对邻近设备的影响,计算了二次设备的损坏概率;分析了多米诺场景,计算了多米诺事故频率,并根据多米诺事故的后果得到个人风险和社会风险曲线.多米诺效应的风险是工业区一个潜在的严重风险,加强多米诺效应的研究对工厂和工业区的安全管理与规划都有重要意义.     

危险品道路运输泄漏引发水污染事故的定量风险评估方法研究

介绍了由道路交通事故引发的地表水污染事故风险定量分析方法,重点分析了突发水污染事故源发生概率和危害后果表征方法.以评价水域内道路危险品运输泄漏事故发生概率为水污染事故源发生概率.污染事故后果危害水平的表征:1)敏感区(点)最高浓度; 2)敏感区(点)超标总历时;3)水质超标的范围(如超标河流长度).评估方法为陆源造成的突发水污染事故的预防管理与应急计划的制订实施提供了科学依据.     

Role of cosubstrate and bioaccessibility played in the enhanced anaerobic biodegradation of organochlorine pesticides (OCPs) in a paddy soil by nitrate and methyl-β-cyclodextrin amendments

The present study was conducted to investigate the anaerobic biodegradation potential of biostimulation by nitrate (KNO₃) and methyl-β-cyclodextrin (MCD) addition on an aged organochlorine pesticide (OCP)-contaminated paddy soil. After 180 days of incubation, total OCP biodegradation was highest in soil receiving the addition of nitrate and MCD simultaneously and then followed by nitrate addition, MCD addition, and control. The highest biodegradation of chlordanes, hexachlorocyclohexanes, endosulfans, and total OCPs was 74.3, 63.5, 51.2, and 65.1 %, respectively. Meanwhile, MCD addition significantly increased OCP bioaccessibility (p?<?0.05) evaluated by Tenax TA extraction and a three-compartment model method. Moreover, the addition of nitrate and MCD also obtained the highest values of soil microbial activities, including soil microbial biomass carbon and nitrogen, ATP production, denitrifying bacteria count, and nitrate reductase activity. Such similar trend between OCP biodegradation and soil-denitrifying activities suggests a close relationship between OCP biodegradation and N cycling and the indirect/direct involvement of soil microorganisms, especially denitrifying microorganisms in the anaerobic biodegradation of OCPs.     

自然灾害灾情划分指标研究

本文阐述了灾情分析中的两个基本方面，即损失的规模和损失的深度，提出了灾级和灾度的概念，对于影响灾级和灾度的主要指标也进行了分析。并就时间和空间变化对灾级划分界线的影响作了论述。     

生化法处理含氨废水动力学研究

对生化法处理含氨废水过去中有重要影响的动力学因素进行了试验研究和分析，得出了利用高效微生物菌群废水中COD和NH3－N的动力学条件，温度为20－35℃，PH为7－8，DO大于2.6mg/L,MLSS大于2.6g/L，C／N小于3。在此条件下处理含氨废水，处理后的出水达到国家化肥行业一级排放标准。     

油污土壤生物修复实验研究

为了有效预防和治理因石油开采、运输等造成的土壤污染,对大庆地区油污土壤进行了生物修复的实验研究,通过室内盆栽模拟实验,对芦苇和香蒲根际土壤的石油类污染物总含量、石油烃类组分浓度、非烃组分浓度进行了测定。结果表明,芦苇和香蒲对石油类污染物具有比较明显的降解作用,可以使被污染土壤中的某些油污成分逐渐被选择性消耗。实验还可看出,芦苇和香蒲对石油类污染物中正构烷烃的降解能力高于非正构烃。总体看,芦苇对石油类污染物的降解能力强于香蒲,但芦苇对非正构烃的降解能力略逊于香蒲。     

铜-磺胺嘧啶复合胁迫对蔬菜种子发芽的急性毒性效应

研究了黄潮土中常用兽药磺胺嘧啶(SD)与重金属铜(Cu)单一及复合污染对小白菜和西红柿种子发芽(发芽率、根伸长、芽伸长)的影响,分析了土壤中药物浓度与作物生长抑制的剂量-效应关系及复合污染的毒性效应。结果表明,无论是在Cu或SD单一污染物作用下,根伸长和芽伸长抑制率与污染物浓度显著相关(P0.01),发芽抑制率与污染物浓度不相关(P0.05);污染物对根伸长及芽伸长的抑制高于对种子发芽的抑制;SD对2种作物的毒性效应明显强于Cu,SD对小白菜和西红柿根伸长的ID50(抑制率为50%时污染物浓度)分别为1.7和33.6 mg·kg~(-1),而Cu为273.6和457.7 mg·kg~(-1)。Cu-SD复合污染,对西红柿的根和芽伸长的拮抗作用显著(P0.01);但对小白菜来说,在低浓度Cu(100 mg·kg~(-1))作用下,二者的联合拮抗作用不显著(P0.05),随Cu的增加,拮抗作用显著(P0.01)。     

Effect of AlCl3 concentration on nanoparticle removal by coagulation

In recent years, engineered nanoparticles, as a new group of contaminants emerging in natural water, have been given more attention. In order to understand the behavior of nanoparticles in the conventional water treatment process, three kinds of nanoparticle suspensions, namely multi-walled carbon nanotube-humic acid (MWCNT-HA), multi-walled carbon nanotube-N,N-dimethylformamide (MWCNT-DMF) and nanoTiO₂-humic acid (TiO₂-HA) were employed to investigate their coagulation removal efficiencies with varying aluminum chloride (AlCl₃) concentrations. Results showed that nanoparticle removal rate curves had a reverse “U” shape with increasing concentration of aluminum ion (Al^3 +). More than 90% of nanoparticles could be effectively removed by an appropriate Al^3 + concentration. At higher Al^3 + concentration, nanoparticles would be restabilized. The hydrodynamic particle size of nanoparticles was found to be the crucial factor influencing the effective concentration range (ECR) of Al^3 + for nanoparticle removal. The ECR of Al^3 + followed the order MWCNT-DMF > MWCNT-HA > TiO₂-HA, which is the reverse of the nanoparticle size trend. At a given concentration, smaller nanoparticles carry more surface charges, and thus consume more coagulants for neutralization. Therefore, over-saturation occurred at relatively higher Al^3 + concentration and a wider ECR was obtained. The ECR became broader with increasing pH because of the smaller hydrodynamic particle size of nanoparticles at higher pH values. A high ionic strength of NaCl can also widen the ECR due to its strong potential to compress the electric double layer. It was concluded that it is important to adjust the dose of Al^3 + in the ECR for nanoparticle removal in water treatment.