FSRU作业过程火灾爆炸危险性评估研究

浮式储存和再气化装置（FSRU）运行过程中易导致火灾爆炸等事故的发生,为有效评估FSRU作业过程火灾爆炸危险性,采用火灾爆炸危险指数评估法,对运用FSRU的某浮式LNG接收终端进行危险性评估;选取LNG运输船与FSRU装料作业等9个单元,研究确定了一般工艺危险性系数、特殊工艺危险性系数、安全措施补偿系数等参数,得出了补偿前后的火灾爆炸危险性指数,有效评估了FSRU作业过程火灾爆炸危险性,并基于研究结果提出了保障FSRU作业安全的对策措施与建议。研究结果表明,安全措施补偿前,缘于LNG/NG本身的火灾危险性和数量较大,能量高度集中,LNG运输船与FSRU装料作业等单元的火灾爆炸危险等级均达到了“非常大”;在采取了一系列的安全措施补偿后,火灾爆炸危险指数降低了3/5左右。这对系统深入地研究FSRU作业安全具有较重要的理论意义和实际应用价值。     

基于粗糙集理想解高陡边坡稳定性模糊评价

为评价山区公路沿线高陡边坡稳定性,保障道路行车安全,基于代数表示的粗糙集理论和条件信息熵表示的粗糙集理论,结合理想解的思想重新定义各属性重要度的确定方式,提出新的适用于山区高陡边坡的权重确定方法,并建立高陡边坡稳定性评价体系,基于模糊理论以某高速公路高陡边坡工程为研究背景,建立山区高陡边坡模糊稳定性评价模型,对边坡稳定性进行评价。研究结果表明：隶属度最大值为0.397,对应边坡稳定状态为“极不稳定”,与实际情况基本一致,验证该权重方法客观、准确,为更好评判山区公路沿线高陡边坡稳定性提出新的方法。     

舰船海水管路腐蚀状态评估技术研究

目的研究建立舰船海水管路的腐蚀状态评估指标体系及评估方法。方法通过经验选择影响舰船海水管路腐蚀状态的重要指标,并确定相应评估方法、评价标准及权重。结果选择管材腐蚀程度、阴极保护状态、电绝缘保护状态、海水流速控制状态、密封材料密封状态5项参数组成海水管路系统腐蚀状态评估指标体系。结论可选用层次-模糊法对海水管路腐蚀状态进行评估,其中层次分析法(AHP)用来确定评价指标权重,模糊综合评判法用来处理评价指标值。     

江苏省空气质量预报准确度及改进方法分析

介绍了江苏省重污染天气监测预报预警系统以及大气重污染预警会商流程,将2015年13个地级市的模式预报、人工预报结果分别与实际观测值进行比较。结果表明:人工预报更准确,PM_(2.5)日均值、臭氧日最大8 h平均值、AQI 3个指标人工预报和实况的相关性分别比模式预报高出12.8%、0.3%、11.4%,平均标准误差(MNE)分别低20.7%、3.1%、23.1%。依据国家空气质量预报技术指南评分办法,对各市2015年全年空气质量级别为"良"时进行评分。通过开展07∶00预报更新,使2015年上半年空气质量预报级别得分平均提高了0.9分,全年级别得分平均提高了2.6分;通过改进模式预报参数,使PM_(2.5)日均预报值、臭氧日最大8 h平均预报值、AQI预报值和实际观测值的相关性比上年同期分别提高26.0%、5.0%、33.9%,MNE分别降低3.6%、31.3%、7.6%。     

结冰条件下直升机飞行风险模糊综合评估

目的提高结冰条件下直升机的飞行安全,对飞行风险进行评估。方法基于模糊综合评估方法,综合考虑结冰气象条件、防/除冰系统状态和飞行员经验的影响,建立飞行风险评估方法。通过算例对建立的飞行风险评估方法进行了验证分析。结果基于结冰强度确定了飞行风险4级划分方法,利用层次分析法(AHP)确定各因素的权重,采用正态分布隶属函数建立评估矩阵,对权重集和评估矩阵进行加权平均运算,并对评估结果向量进行处理以给出最终的风险等级。结论该方法具有科学性和实用性。     

Development and application of a two-dimensional water quality model for theDaqinghe River Mouth of the Dianchi Lake

Water quality models are important tools to support the optimization of aquatic ecosystem rehabilitation programs and assess their efficiency. Basing on the flow conditions of the Daqinghe River Mouth of the Dianchi Lake, China, two-dimensional water quality model was developed in the research. The hydrodynamics module was numerically solved by the alternating direction iteration (ADI) method. The parameters of the water quality module were obtained through the in situ experiments and the lab analyses that were conducted from 2006 to 2007. The model was calibrated and verified by the observation data in 2007. Among the four modelled key variables that were water level, CODcr, NH3-N and PO4-P, the minimum value of the coefficient of determination (CoD) was 0.69, which mean the model performed reasonably well. The developed model was then applied to simulate the water quality changes at the downstream cross-section assuming that the designed restoration programs were implemented. According to the simulated results, the restoration programs could cut down the loads of CODcr and PO4-P about 15%, however, they would have very little effect on the NH3-N removal. Besides, the water quality at the outlet cross-section would be still in class V (3838-02), indicating more measures should be taken to further reduce the loads. The study demonstrated the capability of water quality models to support aquatic ecosystem restorations.     

High-resolution modeling and evaluation of ozone air quality of Osaka using an MM5-CMAQ system

High-resolution modeling approach is increasingly being considered as a necessary step for improving the monitoring and predictions of regional air quality.This is especially true for highly urbanized region with complex terrain and land-use.This study uses Community Multiscale Air Quality (CMAQ) model coupled with MM5 mesoscale model for a comprehensive analysis to assess the suitability of such high-resolution modeling system in predicting ozone air quality in the complex terrains of Osaka,Japan.The 1-km and 3-km grid domains were nested inside a 9-km domain and the domain with 1-km grid covered the Osaka region.High-resolution Grid Point Value-Mesoscale Model μgPV-MSM) data were used after suitable validation.The simulated ozone concentrations were validated and evaluated using statistical metrics using performance criteria set for ozone.Daily maxima of ozone were found better simulated by the 1-km grid domain than the coarser 9-km and 3-km domains,with the maximum improvement in the mean absolute gross error about 3 ppbv.In addition,1-km grid results fared better than other grids at most of the observation stations that showed noticeable differences in gross error as well as correlation.These results amply justify the use of the integrated high-resolution MM5-CMAQ modeling system in the highly urbanized region,such as the Osaka region,which has complex terrain and land-use.     

长江河口表层沉积物中PAHs的生态风险评价

2005年11月26—29日对长江河口部分表层沉积物中多环芳烃类化合物(PAHs)的污染现状进行了调查和研究,分析了其中16种PAHs单体含量. 结果表明,长江河口表层沉积物中属于美国优先控制的16种PAHs共检出15种,仅萘未被检出,w(PAHs)为355.72～2 480.85 ng/g,平均值为1 040.29 ng/g. 表层沉积物中以4环和5～6环PAHs为主,二者之和占w(PAHs)的80%以上. 长江河口表层沉积物中PAHs污染主要来源于矿物燃料的高温燃烧,但部分区域也不排除石油源输入的可能性. 与沉积物风险评估值相比,严重的生态风险在长江河口表层沉积物中不存在,然而排污口附近沉积物存在一定的生态风险.      

风险管理在水电工程中的应用

水电工程是一个在建设过程中充满风险的、相当复杂的系统工程,其风险管理伴随着工程建设的全过程.随着我国水电工程建设体制改革的进一步深化,风险管理越来越受到工程界的重视.分析了在水电工程中存在的主要危险有害因素,提出了具体的风险管理和评价方法,并对一些主要的评价方法进行了大致的比较,同时对水电工程的风险管理工作提出了一些改进措施.     

人工神经网络方法在拟建小区域环境质量评价中的应用

人工神经网络的评价方法用于小区域环境质量评价中,根据本地区特点因地制宜地选择环境质量参数,代入模型中进行环境质量评价及预测,对用于环境质量评价的BP人工神经网络模型进行了改进,即对网络模型的训练样本进行了扩充,从而提高了模型的抗干扰能力和准确性.将改进了的BP人工神经网络模型应用于四川省资阳市沱江二桥拟建项目小区域的大气、地表水环境质量评价中, 对该市小区域大气、地表水环境质量状况进行评价,评价结果表明,BP人工神经网络模型用于环境质量评价是可行的,且评价结论客观,评价模型普遍适用.