油气储运设施事故的人为因素分析与预防

结合心理学知识从人为因素的角度分析和归纳了油气储运设施事故的原因,提出了应对人为因素负面影响的措施和对策。     

徐闻珊瑚礁保护区海水中多环芳烃的初探

2006年8月,对徐闻珊瑚礁自然保护区中多环芳烃的污染现状进行调查和研究,采用固相萃取,GC-MS检测,分析其中16种多环芳烃（PAHs）单体的含量,结果表明该海域海水中16种PAHs的总平均含量为87.06±90.62 ng·L^-1,变化范围为43.31～435.64 ng·L^-1,与世界其它一些近岸海区海水中的PAHs含量相比污染较为严重。A1站位的PAHs含量偏高,主要来源于陆地的工业废水和生活污水以及渔船油污。PAHs含量的增多对珊瑚礁生态系统具有一定影响,最终将影响到人类的自身健康。     

土壤二维蒸气抽排去污效果的影响研究

土壤蒸气抽排是一种经济、高效、安全并已被广泛应用的污染场址现场修复技术,它能经济高效地去除非饱和带土壤中的挥发性有机污染物。以土壤和油污染物为例,进行了土壤二维抽排模拟实验,研究了气体抽排流量对去污效果的影响,通过实验可知:在增加气体抽排流量的情况下,抽排气中挥发性较强的有机物质正戊烷(C5h12)浓度下降的很快,最终保存在较低的浓度水平。挥发性一般的正辛烷(C8h18)和挥发性较弱的正癸烷(C10h22)经过长时间的抽排后,污染物也得到了降低,但是最终保持在比较高的浓度水平。得出增加气体抽排流量可以使污染物去除速率大幅度提高,从而缩短了净化时间,获得很好的去污效果。同时对二维抽排模拟实验和一维抽排模拟实验结果做了比较。     

苏州盛泽湖湿地生态恢复初探

湿地是分布于陆生生态系统和水生生态系统之间具有独特水文、土壤、植被与生物特征的生态系统。盛泽湖是位于苏州相城区东北部的天然浅水湖泊,东临阳澄湖,面积为3.86 km^2。由于当地居民对湖泊进行过度养殖和捕捞、大量的围湖造田和进行农业生产建设、工农业废水和生活污水直接排入水体及湿地附近砖瓦厂的取土等原因引起盛泽湖湿地的生态退化。用生态规划的方法来探讨如何对盛泽湖湿地进行生态恢复,并从环境效益、社会效益和经济效益来分析规划方案实施后的效果。     

腐殖酸钠对钙、镁离子吸附效果的研究

实验研究了腐殖酸钠混合液对钙、镁离子的吸附性能。高温条件下由草炭和NaOH制取的腐殖酸钠混合液,吸附水中的钙镁离子,结果发现：随着混合液用量的增加,其对钙镁离子的去除效率增加。当混合液用量为8ml时,二者的吸附效率均在88％以上,其中对镁离子的去除率可达100％,而且由于钙镁离子具有相同的核外电子层结构及类似的化学性质,因此混合液对钙镁离子的去除效果类似,表明腐殖酸钠混合液对钙镁离子具有极好的去除效果,可广泛应用于处理含钙镁离子的污水。     

基于主体功能区划的环境政策框架设计

“十一五”时期,国家在区域协调发展上的新亮点就是创新的提出了“主体功能区”概念,主导这一战略决策的实施需要配套各类专项政策。针对环境问题尝试在主体功能区划条件下设计区域差异化的环境政策,整个政策框架遵循区域差异、综合协调、可操控和环境优先四个原则分区域构建,各区环境政策都沿着政策定位、政府作为和重点政策三条思路充分拓展,对于各项环境政策在不同主体功能区实施的力度也进行了详细描述。本政策框架将为深入研究环境政策和启发其他配套政策的研究思路提供一定的参考。     

2007年全球和中国十大自然灾害事件回顾与启示

本文主要总结和回顾了2007年全球和中国的十大自然灾害,介绍了中国2007年的自然灾害及救灾工作情况,并在此基础上总结了中国自然灾害的特点以及灾害给我们的启示.     

The ecological implications of land use change in the Source Regions of the Yangtze and Yellow Rivers, China

The alpine ecosystems in permafrost regions are extremely sensitive to climate change. The headwater regions of Yangtze River and Yellow River of the Qinghai-Tibet Plateau are on the permafrost area. Aerial photos of the Source Regions of the Yangtze and Yellow River taken in 1968 and three phases of TM images acquired from 1986, 2000, and 2008 were used to analyze the spatial alterations of the land cover and corresponding effects on the environment guided by landscape ecology theory. Firstly, land cover types were divided into three classes and 11 subclasses. Analysis results revealed the trends and magnitude of the eco-environmental changes in the regions over the past four decades and showed a continuous degradation of grasslands and the extension of desertification and salinization. Secondly, five landscape pattern indices (i.e., NP, MPS, PR, SHEI, CONTAG) commonly used in landscape ecological studies were calculated, and results showed that this region had become more centralized and diversified. Finally, the factors causing the degradation of alpine grasslands were analyzed. The regional climate exhibited a tendency toward significant warming and desiccation with the air temperature increased by 0.03 °C per year and relative stable precipitation over the last 40 years. And the temperature of permafrost in 0–20 cm soil layer obviously raised by 0.2–0.3 °C in the last 40 years. The combined effects of climate warming and permafrost variation were the major drivers for the changes of landscape in alpine ecosystems.     

Exploring the effects of population growth on future land use change in the Las Vegas Wash watershed: an integrated approach of geospatial modeling and analytics

The Las Vegas Valley metropolitan area is one of the fastest growing areas in the southwestern United States. The rapid urbanization has presented many environmental challenges. For instance, as population growth and urbanization continue, the supply of sufficient clean water will become a concern. In addition, the area is also experiencing the longest drought in history, and the volume of water storage in Lake Mead, the main fresh water supply for the entire region, has been reduced greatly. The water quality in the main stem of the Las Vegas Wash (LVW) and Lake Mead may also be significantly affected. In order to develop effective sustainable management plans, the very first step is to predict the plausible future urbanization and land use patterns. This paper presents an approach to predict the future land use pattern at the LVW watershed using a Markov cellular automata model. The multi-criteria evaluation was used to couple population density as a variable depicting the driving force of urbanization in the model. Moreover, landscape metrics were used to analyze land use changes in order to better understand the dynamics of urban development in the LVW watershed. The predicted future land use maps for the years 2030 and 2050 show substantial urban development in the area, much of which are located in areas sensitive to source water protections. The results of the analysis provide valuable information for local planners and policy makers, assisting their efforts in constructing alternative sustainable urban development schemes and environmental management strategies.