福建省兴化湾大气重金属的干湿沉降

在兴化湾周围采集1年的大气颗粒物及降雨样品,测定分析了Cd,Pb,Zn和Cu 4种重金属的含量及其大气干湿沉降通量随季节的变化规律,并利用Pb同位素对大气颗粒物的来源进行了解析.结果表明:大气重金属的干沉降通量随季节变化不大,而湿沉降通量随季节变化明显.大气干沉降通量中,Cd,Cu随季节变化很小,而Pb,Zn有一定的季节变化,主要是因为降雨对大气颗粒物的去除作用.大气湿沉降通量中,所有重金属元素受降雨量影响显著,另外还与季节和风速有关.除Pb外,Cd,Zn和Cu的湿沉降通量均大于干沉降通量,说明湿沉降在大气对兴化湾重金属的输入过程中起主导作用.而Pb的输入则以颗粒态为主.根据Pb稳定同位素分析,兴化湾大气颗粒物中的重金属主要来源于工业活动.      

土地利用/覆盖变化对长江上游非点源污染影响研究

在国内外相关研究的基础上,利用输出系数模型,结合RS和GIS技术,对长江上游的非点源污染负荷进行了空间模拟和负荷估算.模拟结果表明,在不考虑流域损失的前提下,由于土地利用造成的非点源污染负荷TN总量从20世纪70年代的123万t下降至2000年的116万t,基本呈逐年减少的趋势,由土地利用造成的TP的变化趋势与TN基本相同,从70年代的3.7万t下降到2000年的3.5万t左右.就省份、土地利用类型和水系而言,四川省、种植用地和草地以及金沙江水系和嘉陵江水系对长江上游的非点源污染贡献较大.在非点源污染负荷强度上,重庆市和嘉陵江水系单位面积负荷最高,是今后应重点治理的地区.结果表明,该模型可以对长江上游这样的超大尺度空间的非点源污染进行较好的空间模拟.     

长江流域点源氮磷营养盐的排放、模型及预测

通过分析1985～2003年长江流域向河口/东海排放的点源营养盐的时空变化规律,建立长江点源营养盐排放模型,并预测2020年长江流域点源氮磷排放情况.模型基于人口密度、国内生产总值、人均氮磷排放量、以及污水处理率等因子,在99%的置信度上,氮磷模型的方差解释量分别达到92.3%及93.2%.基于此模型预测2020年长江流域点源氮排放量将达到(95 9±6 6)×104t,点源磷排放量达到(12.3±0.6)×104t.此外,研究结果进一步表明,点源营养盐通量仍然是长江输送营养盐总量的主要部分,是影响河口/近海水质的主要因素.     

光电催化降解壬基酚影响因素研究

采用sol-gel法制备TiO2薄膜光电极,以该电极为工作电极,铂丝作对电极,饱和甘汞电极为参比电极,对壬基酚的光电催化降解进行了研究。结果表明:该电极具有n型半导体的特征行为。在外加偏压为+0.8V、pH=5、、30mg/L的H2O2中对初始浓度为20mg/L的壬基酚溶液光照180min降解率达62.22%。讨论了氧的存在、外加偏压、pH等因素对光电催化反应的影响。     

层状氢氧化镁铝对偶氮染料酸性黑10B的脱色性能研究

分别用层状氢氧化镁铝(LDH)和焙烧层状氢氧化镁铝(CLDH)作为吸附剂吸附脱除水溶液中偶氮染料酸性黑10B.考察了脱色时间、pH值、吸附剂的投加量、温度、染料初始浓度和焙烧温度等因素对脱色率的影响.结果表明,LDH及CLDH对酸性黑10B染料具有良好的脱除效果,室温下,10g/L LDH和1g/L的CLDH对浓度为100mg/L的染料的脱色率分别达95.93%和99.97%.pH值是影响吸附能力的关键因素,吸附剂对溶液pH值有一定缓冲作用.LDH及CLDH对酸性黑10B吸附结果符合Langmuir吸附等温式.饱和吸附后的LDH及CLDH用高温热解法再生,吸附性能良好,随再生次数增多,脱色率下降.     

改良倒置A2/O工艺设计

在目前广泛采用的AO、A2O、倒置A2O等工艺的基础上,为提高脱氮除磷效率,提出改良倒置A2O工艺。并对其工艺的特点、设计和脱氮除磷效率进行了详细的研究和分析。     

偏电压对Ti/TiO2光电催化氧化富里酸的影响

采用光电催化反应器对水中天然有机物富里酸(FA)进行降解试验,考察了外加阳极偏电压对光电催化反应器降解富里酸的影响.结果表明,当外加电压为1.2V时,具有最佳的UV254和有机碳TOC去除率,当反应时间为2h时,富里酸的UV254和总有机碳TOC的去除率分别为77.4%和45.4%.另外,在反应初期(前1h内)富里酸光电催化反应动力学常数主要受外加偏电压的影响.     

Dams in the Amazon: Belo Monte and Brazil’s Hydroelectric Development of the Xingu River Basin

Hydroelectric dams represent major investments and major sources of environmental and social impacts. Powerful forces surround the decision-making process on public investments in the various options for the generation and conservation of electricity. Brazil’s proposed Belo Monte Dam (formerly Kararaô) and its upstream counterpart, the Altamira Dam (better known by its former name of Babaquara) are at the center of controversies on the decision-making process for major infrastructure projects in Amazonia. The Belo Monte Dam by itself would have a small reservoir area (440 km²) and large installed capacity (11, 181.3 MW), but the Altamira/Babaquara Dam that would regulate the flow of the Xingu River (thereby increasing power generation at Belo Monte) would flood a vast area (6140 km²). The great impact of dams provides a powerful reason for Brazil to reassess its current policies that allocate large amounts of energy in the country’s national grid to subsidized aluminum smelting for export. The case of Belo Monte and the five additional dams planned upstream (including the Altamira/Babaquara Dam) indicate the need for Brazil to reform its environmental assessment and licensing system to include the impacts of multiple interdependent projects.     

Catchment-Wide Wetland Assessment and Prioritization Using the Multi-Criteria Decision-Making Method TOPSIS

It is widely accepted that wetland ecosystems are under threat worldwide. Many communities are now trying to establish wetland rehabilitation programs, but are confounded by a lack of objective information on wetland condition or significance. In this study, a multi-criteria decision-making method, TOPSIS (the Technique for Order Preference by Similarity to Ideal Solution), was adapted to assist in the role of assessing wetland condition and rehabilitation priority in the Clarence River Catchment (New South Wales, Australia). Using 13 GIS data layers that described wetland character, wetland protection, and wetland threats, the wetlands were ranked in terms of condition. Through manipulation of the original model, the wetlands were prioritized for rehabilitation. The method offered a screening tool for the managers in choosing potential candidate wetlands for rehabilitation in a region.     

TUGAI: An Integrated Simulation Tool for Ecological Assessment of Alternative Water Management Strategies in a Degraded River Delta

The development of ecologically sound water allocation strategies that account for the needs of riverine ecosystems is a pressing issue, especially in semiarid river basins. In the Aral Sea Basin, a search for strategies to mitigate ecological and socioeconomic deterioration has been in process since the early 1990s. The Geographic Information System–based simulation tool TUGAI has been developed to support the policy determination process by providing a simple, problem-oriented method to assess ecological effects of alternative water management strategies for the Amudarya River. It combines a multiobjective water allocation model with simple, spatially explicit statistical and rule-based models of landscape dynamics. Changes in environmental conditions are evaluated by a fuzzy habitat suitability index for Populus euphratica, which is the dominant species of the characteristic riverine Tugai forests. Water management scenarios can be developed by altering spatiotemporal water distribution in the delta area or the amount of water inflow into the delta. Outcomes of scenario analysis are qualitative comparisons of the ecological effects of different options for a time period of up to 28 years. The given approach utilizes different types of knowledge, from quantitative hydrological data to qualitative local expert knowledge. The main purpose of the tool is to integrate the knowledge in a comprehensive way to make it available for discussions on alternative policies in moderated workshops with stakeholders. In this article, the modules of the tool, their integration, and three hypothetical scenarios are presented. Based on the experience gained when developing the TUGAI tool, we propose that the general framework can be transferred to other areas where tradeoffs in water allocation between the environment and other water users are of major concern. The potential for a simulation tool to structure and inform a complex resource management situation by involving local experts and stakeholders in the development of possible future scenarios will become increasingly valuable for transparent and participatory resource management.