柴油发电机噪声治理改造工程一例

介绍一例窄小空间的大功率柴油发电机噪声改造工程。通过对原机房的改造 ,增加隔声、吸声、通风等措施 ,使发电机噪声排放达标     

高速公路噪声预测和计算机模拟的研究

介绍了中国公路交通噪声预测模式，并根据该模式用VC 语言开发一种噪声值预测软件，生成噪声等声级线图．以详细的实例进行分析说明。     

上海市工业区环境管理问题与对策浅析

在对上海市78家工业区进行抽样调查的基础上，分析了工业区环境管理目前存在的法规缺位，机构不健全，基础设施不健全、环评和规划实施不全面、信息沟通不畅、考核机制待改进等主要问题。并提出了加快环境管理法制建设、建立健全环境管理机构．建设和完善区域环境基础设施、全面实施区域环评和环保规划、加强与地方环保行政部门的信息沟通、建立完善环境监督和考核制度等对策和建议。     

成矿作用中金银的共生与分离及Au/Ag比值的校正

在内生作用中金与银既有共生的一面 ,又有分离的一面。其共生与分离受地球演化历史制约 ,受控于元素化学性质和地球化学亲和性 ,与岩浆起源、演化有关 ,受控于不同的基底建造和构造单元。成矿作用中金与银的共生与分离可用Au/Ag比值大小来衡量 ,本文提出了根据Au、Ag的地壳克拉克值和工业品位对传统的Au/Ag比值进行校正的方法 ,校正后的Au/Ag比值可有助于矿床研究、找矿预测和资源评价等工作     

垃圾焚烧飞灰物理化学性质的实验研究

应用激光粒度粒形分析仪、灰熔融性测定仪、原子吸收光谱仪和XRD等仪器手段对国内2种垃圾焚烧飞灰的密度、颗粒特性、熔点、成分和晶相结构等物理化学性质进行了详细的研究。研究发现，2种灰样颗粒直径的数量积分分布非常接近，其中基本没有超过40／μm的颗粒。由于垃圾焚烧飞灰在化学成分上存在的差异导致了其熔点有很大的不同。此外，XRD结果显示不同来源的飞灰其晶相结构存在较大的差别，这可能与垃圾的来源和焚烧工艺以及烟气处理方法有关。实验结果为飞灰无害化低温烧结工艺的选择和运行参数的制定提供了依据。     

常用氧化剂性能研究

用四种常用的氧化剂:高锰酸钾、漂白粉、NaClO和H2O2/Fe2+对大港油田港深11井酸化废水进行了处理。考察了氧化剂的投加量、氧化时间和pH值对酸化废水色度和COD去除率的影响。实验结果表明,在最佳条件下,H2O2/Fe2+对酸化废水的色度和COD的去除率最高;用高锰酸钾处理废水,其COD去除率较高,但脱色效果差;而漂白粉和NaClO的脱色率较高,但其氧化能力有限。建议油田用氧化法处理废水时应采用H2O2/Fe2+催化氧化体系。     

SPATIO-TEMPORAL CHANGE OF DROUGHT DISASTER IN CHINA IN RECENT FIFTY YEARS

Foreword　Inglobalview ,droughtdisasterisregardedasthemostserioustypeofnaturaldisasterintheworld ,whichhascausedthewidestrangeofeffectsandthebiggesteconomiclosses .Se veredroughtsmainlyoccurinAfrica ,India ,China ,formerSovietUnion ,NorthAmerica ,andAustralia,accountingforalmosthalfofcountriesintheworld .Droughtdisasteroccursfre quentlyinChina ,withwiderangeofinfluence ,whichisthemostseriousmeteorologicaldisas ter ,causingeconomiclossesinagriculture .Fromthe 50’stothe 80’sinthe 2 0thcent…     

湖南省区域投资环境的优化对策

分析了湖南省区域投资环境条件,提出了优化投资环境思路:按点轴模式优化湖南区域经济空间布局结构,确立重点投资环境建设轴线;优化产业结构,优先对第二产业和优势产业进行投资环境建设;把人文环境和物质环境结合起来,着力改善区域经济发展的软、硬环境.     

A comparative study of US EPA 1996 and 1999 emission inventories in the west Gulf of Mexico coast region, USA

Emission inventory is one of the required inputs to air quality models. To assist in the urban and regional modeling efforts, United States Environmental Protection Agency (EPA) has compiled a National Emission Inventory (NEI) for criterion pollutants, and the precursors of ozone and particulate matter (PM). In December 2002, EPA released the 1999 NEI estimates (NEI99), which represent the most recent national emission data. However, the data sets are not in model-ready format for air quality simulations. This present work converts the NEI99 Final Version 2 data sets into Inventory Data Analyzer (IDA) format and processes the data using the Sparse Matrix Operator Kernel Emissions (SMOKE) modeling system to generate a gridded emission inventory in a domain covering the west Gulf Coast Region, USA. The spatial and diurnal emission characteristics of the gridded emission inventories are then assessed and compared with those of the National Emission Trend 1996 (NET96). The NEI99 database contains more complete emission records in both area and point sources. It is also found that NEI99 data exhibit greater emissions with respect to point and mobile sources but smaller emissions with respect to area sources when compared to the corresponding gridded NET96 data in the same study domain. The most distinct differences between the NEI99 and NET96 databases are CO emission of mobile sources, SO2 emissions of point sources, and VOC/PM/NH3/NOx emissions of area and non-road sources. The gridded NEI99 data show low VOC/NOx ratios (<2-5) in the urban areas of the study domain.     

Study on the relationship between the incidence of influenza and climate indicators and the prediction of influenza incidence

In recent 2 years, the incidence of influenza showed a slight upward trend in Guangxi; therefore, some joint actions should be done to help preventing and controlling this disease. The factors analysis of affecting influenza and early prediction of influenza incidence may help policy-making so as to take effective measures to prevent and control influenza. In this study, we used the cross correlation function (CCF) to analyze the effect of climate indicators on influenza incidence, ARIMA and ARIMAX (autoregressive integrated moving average model with exogenous input variables) model methods to do predictive analysis of influenza incidence. The results of CCF analysis showed that climate indicators (PM2.5, PM10, SO₂, CO, NO2, O₃, average temperature, maximum temperature, minimum temperature, average relative humidity, and sunshine duration) had significant effects on the incidence of influenza. People need to take good precautions in the days of severe air pollution and keep warm in cold weather to prevent influenza. We found that the ARIMAX (1,0,1)(0,0,1)₁₂ with NO₂ model has good predictive performance, which can be used to predict the influenza incidence in Guangxi, and the predicted incidence may be useful in developing early warning systems and providing important evidence for influenza control policy-making and public health intervention.