发展中国西部的生态旅游业

生态旅游作为“保护生态”和“发展经济”双赢理念的新兴旅游类型,被西部各省(区、市)所关注并将其定为本地区发展的主导产业.通过对西部地区的生态旅游资源优缺点、市场定位、产品转化及空间布局的分析,初步勾画了西部生态旅游业的发展前景,并提出相应地发展策略.     

生态示范区可持续发展灰色评估系统设计应用

介绍了如何在国家级生态示范区的可持续发展评估中运用灰色系统理论构建定量评估系统模型,并给出了关系型指标表、量纲模型、多元灰色预测模型和发展系数模型以及应用实例.根据该评估系统模型所开发的灰色评估系统由数学模型、计算机软件和硬件组成,可自动完成量纲统一、指标预测、相关分析、综合评估和趋势图表的运算和输出.     

茶粕有机肥的开发与利用

论述了生物有机肥在发展农业生产中的重要地位,以及生产中存在着的大量使用集约化畜禽养殖场的畜禽粪对土壤、水体等环境质量和农产品质量安全产生严重影响的问题,提出以茶粕作为原料生产有机肥具有生产过程相对安全、克服有机肥二次污染的优点.此外,茶叶次生代谢物茶多酚、茶色素、茶皂素和茶皂甙等具有抗氧化、清除自由基、络合金属离子、调节植物生长和生物防虫、灭虫等独特生理功效,将极大地提高茶粕有机肥的生物有效性,显示出其广阔的应用前景.     

我国水业市场化模式

本文就我国水业的特许经营模式和市场监管等问题进行了重点讨论。     

低浓度臭氧在含钴盐硅胶上的吸附研究

常压下对含钴盐硅胶进行低浓度臭氧的吸附实验，吸附达到饱和后用氮气作为载气加热解吸。结果显示，含钴盐的硅胶对臭氧具有较强的吸附能力；臭氧解吸量随着解吸温度的上升而增加；吸附了臭氧的含钴硅胶粒子在常温(313．15K)下可在60min内不问断解吸出臭氧。     

Effectiveness of resistivity monitoring for interpreting temporal changes in landfill properties

It is always possible for impermeable layers to exist in landfills. When they do, the properties of the solution at the exit of the leachate-collection system might not accurately reflect the overall properties of the landfill. This study examines whether resistivity monitoring is effective for determining the influence of impermeable layers on the leachate. The test cell used in this study was filled with waste made up mainly of incinerator ash and shredded incombustible material. Three lines of resistivity sensors were laid in the uppermost layer of the fill. A resistivity profile was recorded periodically from each of these lines. The water-table level and leachate properties were measured concurrently. Leachate conductivity was mainly controlled by concentrations of the main ions, and it correlated inversely to variations in resistivity. Temporal changes in the resistivity of the fills are an excellent means of assessing the leaching in fills. Monitoring the properties of leachate, combined with resistivity profiling, is extremely useful for interpreting the temporal changes of properties in landfills containing impermeable layers.     

稠油污水生化性处理技术研究

为了探讨稠油污水能否使用生物法处理,以生活污水和农药厂生化池原菌种经过诱导驯化,分别培养了可以在稠油污水中生长的好氧菌种革兰氏阴性菌G-1和厌氧菌种革兰氏阴性菌G-2.以G-2和G-1对稠油污水进行顺序处理,可使其BOD5/CODCr达到0.26;采用SBR法对新疆稠油污水放大处理试验的结果：COD降至150 mg/L以下,各项指标达到GB8978-1998二级排放标准.     

污染物排放相关指标计算方法的研究

针对传统的污染排放数据指标计算方法存在的问题,提出污染物排放指标应根据排污强度和经济指标确定的新思路,同时提出污染物排放指标数据的快速测算模型设计.建议通过环境监测数据或物料衡算数据确定每个排污单位的平均排污强度,作为计算机处理的参数,再由该排污单位申报每月的经济指标(产量或产值),输入计算机计算其产污量、排污量和去除量.实施计算机管理的关键是选取适当的数据计算模型.新思路应该能够规范计算程序,建立污染源动态数据库,对排污数据实行有效的统计分析.     

大气环境影响评价工作分级要求要点

根据大气环境影响评价工作的分级要求,提出了针对性的工作要点,以满足大气环境评价工作的需要.     

Impact of Human Activities on Carbon Dioxide (CO<Subscript>2</Subscript>) Emissions: A Statistical Analysis

Summary The balance of evidence suggests a perceptible human influence on global ecosystems. Human activities are affecting the global ecosystem, some directly and some indirectly. If researchers could clarify the extent to which specific human activities affect global ecosystems, they would be in a much better position to suggest strategies for mitigating against the worst disturbances. Sophisticated statistical analysis can help in interpreting the influence of specific human activities on global ecosystems more carefully. This study aims at identifying significant or influential human activities (i.e. factors) on CO₂ emissions using statistical analyses. The study was conducted for two cases: (i) developed countries and (ii) developing countries. In developed countries, this study identified three influential human activities for CO₂ emissions: (i) combustion of fossil fuels, (ii) population pressure on natural and terrestrial ecosystems, and (iii) land use change. In developing countries, the significant human activities causing an upsurge of CO₂ emissions are: (i) combustion of fossil fuels, (ii) terrestrial ecosystem strength and (iii) land use change. Among these factors, combustion of fossil fuels is the most influential human activity for CO₂ emissions both in developed and developing countries. Regression analysis based on the factor scores indicated that combustion of fossil fuels has significant positive influence on CO₂ emissions in both developed and developing countries. Terrestrial ecosystem strength has a significant negative influence on CO₂ emissions. Land use change and CO₂ emissions are positively related, although regression analysis showed that the influence of land use change on CO₂ emissions was still insignificant. It is anticipated, from the findings of this study, that CO₂ emissions can be reduced by reducing fossil-fuel consumption and switching to alternative energy sources, preserving exiting forests, planting trees on abandoned and degraded forest lands, or by planting trees by social/agroforestry on agricultural lands.