建设项目竣工环境保护验收现场监测中应注意的问题

针对建设项目竣工环境保护验收监测中存在的一些疑难问题，分别从废水监测中采样点位的确定和描述及采样时间的确定、清污合总排口的情况下监测点位的确定；厂界噪声监测中测点的选择、背景值的修正与测量、环境敏感点的监测；废气监测中无组织废气监控点的布设、有组织废气采样方法的选择、燃烧性废气监测中过剩系数的影响；验收监测期间的生产工况的确定等方面进行了探讨，提出了一些解决办法。     

导布辊辊筒加工用辘头、辘模和辘床

分析了导布辊辊筒加工中的一个重要工艺辘圆工艺。论述了完成这个工艺的装备 ,辘头、辘模和辘床的一些设计方法     

我国石化企业建立环境管理体系的意义及建议

介绍了ＩＳＯ１４０００环境管理体系的内容。通过分析我国石化企业的现状和建立ＩＳＯ１４０００环境管理体系的意义，提出了建立ＩＳＯ１４０００环境管理体系是提高企业管理水平的有效途径的观点。最后，探讨了现阶段石化企业建立ＩＳＯ１４０００环境管理体系的步骤。     

长江苏州段岸线资源利用遥感调查与GIS分析评价

了解岸线资源利用现状,科学、合理地评价岸线资源条件是实施沿江开发战略、建立沿江基础产业带、科学合理地确定沿江产业布局的前提和基础。利用高分辨率卫星影像,通过影像融合,快速发现目标靶区,精确确定岸线占用单位的空间位置与几何形状;运用GIS分析技术,弄清长江岸线江苏段的资源与利用现状,选取科学合理的评价单元,对研究区内的岸线资源进行评价,为长江岸线苏州段的合理利用与开发提供重要的参考依据。     

百色水利枢纽工程建成后的效益分析

百色水利枢纽工程是治理和开发郁江的大型水利枢纽工程。主要从防洪、发电、灌溉、航运和供水等综合利用方面分析了工程建成后产生的社会效益和经济效益，对存在的问题提出了相应的对策和建议。     

中国土地可持续利用指标体系的理论与方法

制定土地资源可持续性指标体系是《21世纪议程》中对各国提出的科学技术优先研究领域 ,国土资源部已开始了该研究项目。论文就此对中国土地资源可持续利用指标体系的理论与方法从整体上进行了探讨。首先回顾了国内外土地可持续利用研究的进展 ,分析归纳了国外可持续发展指标体系研究状况及可借鉴之处 ;指出在土地可持续利用指标与评价的研究中 ,必须从3个方面开展深入探讨。第一是土地利用分区及制定区域性土地可持续利用指标体系 ;第二是研究制定主要土地利用系统可持续利用指标体系及其阈值 ;第三是研究制定典型区域(以县域为单位)土地可持续利用指标体系及其阈值。只有把3个方面的研究有机融合起来 ,互相反馈 ,互为依存 ,才能保证土地可持续利用指标体系的科学性、系统性和实用性。     

包含详细微物理过程的一维辐射雾模式

本文建立一个包含详细微物理过程的一维雾模式.模式包括动量方程、热量方程、水汽方程、雾滴凝结增长方程和浓度变化方程等.大气长波辐射采用Roach的五波段模式,微物理过程采用分档技术.试验结果表明,该模式可用于辐射雾的研究.     

环境影响评价中的危害分析及其实例应用——中河化工厂罐区扩建工程的危害分析

环境中有毒、易燃、易爆等物质的泄漏将会在不同程度上对人体和周围环境造成伤害。为此建设项目（特别是化工行业）在进行环境影响评价时，必需对这些潜在的危害物质及其可能发生的事故进行危害分析。本文通过对天津中河化工厂罐区扩建工程的危害分析，给出了危害分析的基本过程及其分析的理论方法，以便为今后化工行业建设项目的危害分析提供一个理论参考。     

Determination of toxic cyclic heptapeptides by liquid chromatography with detection using ultra-violet, protein phosphatase assay and tandem mass spectrometry

Microcystins, toxic cyclic heptapeptides and nodularin-R, a toxic cyclic pentapeptide, were determined using liquid chromatography (LC) with detection using photo-diode array ultra-violet (PDA-UV) and protein phosphatase (PP) assay. Positive fractions were analysed for toxins using collision-induced dissociation (CID) and tandem MS/MS experiments which were carried out simultaneously using electrospray ion-trap instrumentation. Reversed-phase liquid chromatography (LC) using an acetonitrile/water gradient was used for the LC-MS(2) determination of six microcystins standards and nodularin. The molecular related ion species, [M+H](+)([M+2H](2+) in the case of MC-RR), were used as the precursor ions for MS(2) experiments. Optimum calibration and reproducibility data were obtained for MC-LR using LC-MS(2); 0.1-5.0 microg/ml, r2 = 0.992 (n = 3); % RSD < or =7.3 at 0.25 microg MC-LR/ml (n = 3). The detection limit (S/N = 3) was better than 0.1 ng. Water samples for microcystin analysis were first screened using protein phosphatase (PP) assays and positives were concentrated using C-18 solid-phase extraction. The developed method was applied to examine a lake in Ireland contaminated by Microcystis sp. and MC-LR and MC-LA were identified.     

Geochemistry of soil around a fluoride contaminated area in Nayagarh District,Orissa, India: Factor analytical appraisal

Fluoride contamination in soil was studied in the vicinity of a hot spring in Nayagarh district of Orissa. Both bulk soil from 0 to 30 cm depth and profile soils from 0 to 90 cm depth were analyzed for total fluoride (F_t) and 0.01 M CaCl₂ extractable fluoride (F_ca), major elements, pH, EC and Organic Carbon (OC). High concentrations of both F_t and F_ca were observed in the area surrounding the hot spring and the village of Singhpur. Principal factor analysis (PFA) on the parameters of the bulk soils suggests that two major chemical processes due to three factors, control the soil geochemistry of the area. Factor-1 contributes 37.11% of the total variance and is strongly loaded with Al, Si, Fe, F_tand F_ca, and explains the fluoride enrichment of the soil, whereas the second and the third factors contribute 16.6 and 12.2%, respectively and explain the controlling process of carbonate precipitation and soil alkalinity. Multiple regression analysis of the scores of the factors was performed to derive a fluoride contamination index in soil. The magnitude of the factor effect on the contamination index follows the order of Factor-1 > Factor-2 > Factor-3. The spatial distribution of the contamination index is used to classify the area into highly contaminated, moderately contaminated and uncontaminated zones.