基于Berthollet反应示波极谱法测定水中微量氨

在亚硝基铁氰化钾存在下,氨在氢氧化钠介质中与苯酚、次氯酸钠反应,其产物靛酚在滴汞电极上产生－灵敏的吸附波,ＮＨ３－Ｎ在０．００３～０．２２ｍｇ／Ｌ内,导数峰电流与其呈良好的线性关系。用于环境水中ＮＨ３－Ｎ的测定,其相对标准偏差小于３％,回收率为９７％～１０５％,方法具有较好的选择性。     

天池风景资源开发过程中的环境预警评价

在天池风景名胜区专家咨询和环境质量综合分析的基础上,对天池风景名胜区旅游资源的开发活动进行了预警评价,提出了天池风景名胜区风景资源开发的保护对策,为天池景区的环境管理工作提供了依据。     

炼化浓盐水处理与资源化工艺探讨＊

炼化污水深度处理回用是各炼化企业节水减排的主要措施之一。炼化企业反渗透(简称RO)污水脱盐回用装置在运行中暴露出末端高含盐污水的处置难题,影响了污水回用生产的连续运行。文章阐述近年来炼化企业高含盐污水处置现状、存在问题、国内外处理技术及发展趋势,在此基础上针对炼化企业特点,提出以热法、膜法为核心技术的浓盐水处理工艺耦合方案,为炼化企业解决污水回用瓶颈技术难题、实施污水"零排放"与发展循环经济提供借鉴与参考。     

钻井废液的固液分离工艺与设备

影响钻井废液固液分离的因素包括钻井废液的稀释比例、脱稳处理药剂的种类和加量、固液分离设备。文章介绍了钻井废液处理的基本流程,分析了钻井废液pH值对固液分离效果的影响,论述了卧式螺旋卸料沉降离心机的基本结构、设备参数和操作参数对固液分离效果的影响。     

以“生态足迹”的方法衡量青藏高原可持续发展能力

通过论述青海西藏两地环境质量总体向好的结论引证青藏高原生态盈余。用"生态足迹"和"人类发展指数"两种指标来衡量青藏高原的可持续发展能力,结果表明青藏高原有着较好的生态盈余,但人类发展指数值偏低,限制了青藏高原的可持续发展能力。应通过提高公共服务能力,加强生态系统管理,减少碳足迹来实现青藏高原的生态文明。     

滤筒法测定水中悬浮物的实践

采用重量法用滤筒替代滤膜进行测定水中悬浮物的比对实验,实验结果表明:滤筒测定水中悬浮物比滤膜测定水中悬浮物更具有易恒重、测定误差小、准确度高、快速、简便、成本低等优点,适合水质监测应用。     

廊坊市生态环境与土地利用协调研究

通过对廊坊市环境容量现状和土地利用与生态环境关系的分析,提出了廊坊市生态适宜的土地利用目标和调控指标,从而构建环境友好型土地利用模式。     

矿山地质环境保护与治理恢复方案技术要求探讨

以《同煤集团梵王寺煤矿矿山地质环境保护与治理恢复方案》为例,根据相关工程实践,对"矿山地质环境保护与治理恢复方案"编制过程中需要特别注意的几个问题及争议问题进行了探讨,以期对该类项目起到指导作用。     

Forest Ecosystem Services and Eco-Compensation Mechanisms in China

Forests are a major terrestrial ecosystem providing multiple ecosystem services. However, the importance of forests is frequently underestimated from an economic perspective because of the externalities and public good properties of these services. Forest eco-compensation is a transfer mechanism that serves to internalize the externalities of forest ecosystem services by compensating individuals or companies for the losses or costs resulting from the provision of these services. China’s current forest eco-compensation system is centered mainly on noncommercial forest. The primary measures associated with ecosystem services are (1) a charge on destructive activities, such as indiscriminate logging, and (2) compensation for individual or local activities and investments in forest conservation. The Compensation Fund System for Forest Ecological Benefits was first listed in the Forest Law of the People’s Republic of China in 1998. In 2004, the Central Government Financial Compensation Fund, an important source for the Compensation Fund for Forest Ecological Benefits, was formally established. To improve the forest eco-compensation system, it is crucial to design and establish compensation criteria for noncommercial forests. These criteria should take both theoretical and practical concerns into account, and they should be based on the quantitative valuation of ecosystem services. Although some initial headway has been made on this task, the implementation of an effective forest eco-compensation system in China still has deficiencies and still faces problems. Implementing classification-based and dynamic management for key noncommercial forests and establishing an eco-compensation mechanism with multiple funding sources in the market economy are the key measures needed to conquer these problems and improve the forest eco-compensation system and China’s forestry development in sequence.     

Development of Customized Fire Behavior Fuel Models for Boreal Forests of Northeastern China

Knowledge of forest fuels and their potential fire behavior across a landscape is essential in fire management. Four customized fire behavior fuel models that differed significantly in fuels characteristics and environmental conditions were identified using hierarchical cluster analysis based on fuels data collected across a boreal forest landscape in northeastern China. Fuel model I represented the dense and heavily branched Pinus pumila shrubland which has significant fine live woody fuels. These forests occur mainly at higher mountain elevations. Fuel model II is applicable to forests dominated by Betula platyphylla and Populus davidiana occurring in native forests on hill slopes or at low mountain elevations. This fuel model was differentiated from other fuel models by higher herbaceous cover and lower fine live woody loading. The primary coniferous forests dominated by Larix gmelini and Pinus sylvestris L. var. mongolica were classified as fuel model III and fuel model IV. Those fuel models differed from one another in average cover and height of understory shrub and herbaceous layers as well as in aspect. The potential fire behavior for each fuel model was simulated with the BehavePlus5.0 fire behavior prediction system. The simulation results indicated that the Pinus pumila shrubland fuels had the most severe fire behavior for the 97th percentile weather condition, and had the least severe fire behavior under 90th percentile weather condition. Fuel model II presented the least severe fire potential across weather conditions. Fuel model IV resulted in greater fire severity than Fuel model III across the two weather scenarios that were examined.