黑龙江省生物多样性保护重要性评价

根据黑龙江省生物多样性现状和国家规定的评价方法与指标对黑龙江省的生态系统进行生物多样性保护重要性评价,评价结果将黑龙江省生物多样性保护重要地区分为4级,即极重要、中等重要、比较重要和一般重要四个级别,并确定了它们的分布区域.这一成果为黑龙江省生态功能区划奠定了基础,提供了科学依据.     

加强松花江上游石油开发的预警研究

松花江上的石油开发对松花江和哈尔滨市饮用水源地的潜在污染危害已引起政府部门的重视.松花江上石油开发中一旦出现事故其污染所造成突发事故将是十分严重的.应加强松花江上石油开发的预警研究.并对松花江上的石油开发现状、存在的问题和隐患进行深入调查研究.对江上已开发和在建油田制定出相应对策,确保松花江水质安全和哈尔滨市饮用水源地的水质安全.     

多氯酚QSAR数值模型比较研究

应用多元线性回归分析和新近发展起来的人工神经网络方法进行了一类重要环境污染物多氯酚的定量构效关系研究，并用所建立的模型进行毒性预报，计算值与实验值的比较表明，前的相关系数约为０．９２，后的相关系数约为０．９９．后的百分误差地明显小于前，后的预报能力略好于前，中还讨论了后优于前的的原因。     

应用添加剂烟气碳化处理回收碱渣

介绍应用ＹＪ添加剂碳化法处理炼油过程中的汽油、柴油、液化气碱渣，回收酚及环烷酸，并再生制取ＮａＯＨ稀碱液的工业实验，结果表明，此法在生产上可行，回收酚再生碱均达到产品质量标准     

Chemical characteristics of cloudwater over Maoer Mountain district

Samples of cloudwater, rainwater and ambient aerosol were collected over Maoer Mountain in the northeast of Guangxi Province in March 1988. The pH value of cloudwater ranged from 3.37 to 6.20 with a mean value of 4.34. SO42- , NO3- , NH4+, Ca2+ and H+ were the principal ionic species of cloudwater. The advance of cold fronts into Maoer Mountain appeared to lead to higher major ionic concentration and acidity than that of warm fronts. The relative acidity and concentration of NO3- of cloudwater were much greater than that of aerosol samples. With the exception of. NO3- and H+, most of the concentration of SO42- and NH4+ in cloudwater came from the nucleation scavenging of aerosol. Gaseous nitric acid and organic acid from local may be one of the important source of cloudwater acidity. Compared with other sites, Maoer Mountain can be as a clean contrast station for studying acidic precipitation in Guangdong and Guangxi provinces.     

近百年中国亚热带地区农业气候带界限动态变化及其对农业生产的影响

本文利用我国东部亚热带地区315个站点的资料,采用农业气候带分界指标,分析了北亚热带北界、中亚热带北界、南亚热带北界3个界限近百年的动态变化以及农业气候带界限波动变化对农业生产的影响。     

ERP管理专业计算机课程在多媒体教学中的应用

ERP计算机课程往往可有效利用多媒体技术进行教学.ERP管理专业计算机课程在多媒体教学中如何应用显得尤为重要.通过采用多种教学形式、充分应用多媒体教学、灵活运用多媒体课件来促进ERP管理专业的计算机课程在多媒体教学的发展.     

城市草坪的生态热效益

分析了草坪的能量平衡机理以及与环境之间的热湿交换关系，说明了草坪对空气具有降温增湿作用。通过重庆市区一些草坪实测数据分析发现草坪日平衡温度与空气日平均温度相等，说明草坪与空气之间保持热量的生态平衡。     

Life cycle analysis and choice of natural gas-based automotive alternative fuels in Chongqing Municipality,China

Road transport produces significant amounts of emissions by using crude oil as the primary energy source. A reduction of emissions can be achieved by implementing alternative fuel chains. The objective of this study is to carry out an economic, environmental and energy (EEE) life cycle study on natural gas-based automotive fuels with conventional gasoline in an abundant region of China. A set of indices of four fuels/vehicle systems on the basis of life cycle are assessed in terms of impact of EEE, in which natural gas produces compressed natural gas (CNG), methanol, dimethylether (DME) and Fischer Tropsch diesel (FTD). The study included fuel production, vehicle production, vehicle operation, infrastructure and vehicle end of life as a system for each fuel/vehicle system. A generic gasoline fueled car is used as a baseline. Data have been reviewed and modified based on the best knowledge available to Chongqing local sources. Results indicated that when we could not change electric and hydrogen fuel cell vehicles into commercial vehicles on a large scale, direct use of CNG in a dedicated or bi-fuel vehicle is an economical choice for the region which is most energy efficient and more environmental friendly. The study can be used to support decisions on how natural gas resources can best be utilized as a fuel/energy resource for automobiles, and what issues need to be resolved in Chongqing. The models and approaches for this study can be applied to other regions of China as long as all the assumptions are well defined and modified to find a substitute automotive energy source and establish an energy policy in a specific region.     

北京市冬季公共场所室内空气中TSP, PM10, PM2.5和PM1污染研究

在北京市的海淀区、朝阳区、丰台区和昌平区选择了 49个公共场所 (包括办公室、宾馆、图书馆、超市等等 ) ,分别对其室内空气中TSP ,PM10 ,PM2 5 和PM1的浓度进行了测定 ,并且对室内空气中粉尘含量的影响因素进行了分析和探讨 .研究结果表明 ,繁忙的交通状况和建筑施工将明显增加公共场所室内空气中TSP ,PM10 ,PM2 5 和PM1浓度 .频繁的室内清扫有助于降低室内空气中颗粒物的浓度 .在室内空气中 ,PM10 浓度与TSP浓度呈现明显的正向线性相关性 ,而PM2 5 和PM1的浓度与PM10 浓度的相关性较差