二氧化锰基纳米材料对重金属离子的去除及机理研究进展

重金属离子对人类健康和环境安全产生了严重威胁,因此重金属废水高效处理成为了环境领域最具挑战性的热点问题之一.二氧化锰(MnO_2)是一种环境友好型金属氧化物,具有来源广泛、成本低廉、形貌多样、晶型丰富、结构稳定、粒径可控等优异的性质,在重金属离子的去除应用上展现出巨大的潜力.近年来,人们利用MnO_2基纳米材料在重金属离子的有效治理方面开展了大量的研究.本文综述了MnO_2基纳米材料在重金属离子环境修复方面取得的研究进展,包括MnO_2的制备和改性方法,MnO_2基纳米材料在水溶液重金属离子去除中的应用及吸附作用机制,并对研究方向进行了总结和展望,旨在为进一步设计合成对重金属离子的吸附去除具有实际应用价值的MnO_2基纳米材料提供参考.     

盐渍土环境中RC桥墩柱地震损伤试验研究与计算分析∗

为了研究盐渍土环境中RC桥墩柱的地震损伤,设计制作了10根RC桥墩柱,对其进行了电化学快速锈蚀试验及低周反复加载试验。试验中的主要设计参数为轴压比和锈蚀率。观察和记录了试件的开裂过程及破坏形态,通过实测数据绘制了构件的荷载—位移滞回曲线。在已有基础上提出了锈蚀RC桥墩柱在低周反复荷载作用下的双参数损伤模型,并对其进行了对比分析。试验结果表明:锈蚀率越大,滞回曲线捏缩现象越明显,滞回环面积逐渐减小,峰值荷载和极限位移也逐渐减小,试件耗能能力和延性明显降低,其损伤越来越严重;轴压比越大时,试件极限变形越差,耗能能力越低,其损伤越严重。通过与Mccabe损伤模型及Park-Ang损伤模型进行比较分析,得知该损伤模型更能准确反应构件的实际破坏程度,可为盐渍土环境中RC构件的损伤评估提供参考依据。     

Nitrogen- vs. phosphorus-based dairy manure applications to field crops: nitrate and phosphorus leaching and soil phosphorus accumulation

Management of animal manures to provide nutrients for crop growth has generally been based on crop N needs. However, because manures have a lower N/P ratio than most harvested crops, N-based manure management often oversupplies the crop-soil system with P, which can be lost into the environment and contribute to eutrophication of water bodies. We examined the effects of N- vs. P-based manure applications on N and P uptake by alfalfa (Medicago sativa L.), corn (Zea mays L.) for silage, and orchardgrass (Dactylis glomerata L.), leaching below the root zone, and accumulation of P in soil. Treatments included N- and P-based manure rates, with no nutrient input controls and inorganically fertilized plots for comparison. Nitrate concentrations in leachate from inorganic fertilizer or manure treatments averaged 14 mg NO(3)-N L(-1), and did not differ by nutrient treatment. Average annual total P losses in leachate did not exceed 1 kg ha(-1). In the top 5 cm of soil in plots receiving the N-based manure treatment, soil test P increased by 47%, from 85 to 125 mg kg(-1). Nitrogen- and P-based manure applications did not differ in ability to supply nutrients for crop growth, or in losses of nitrate and total P in leachate. However, the N-based manure led to significantly greater accumulation of soil test P in the surface 5 cm of soil. Surface soil P accumulation has implications for increased risk of off-field P movement.     

基于SHERPA的环境空气质量减排情景模拟评估

分析了SHERPA综合评价模型的基本原理和主要建模理念,重点介绍了其在环境空气质量减排情景模拟评估方面的作用,以及在排放源与受体关系(SRR)方面的处理方法,比较了其与欧盟常用的其他情景模拟模型的优缺点。SHERPA模型的特点是空间灵活性较好,对于任何给定地点,可以快速评估不同地区对该研究地点空气质量的影响。SHERPA模型的3个主要功能为污染物来源分析、决策支持和情景模拟。基于SHERPA模型对法国环境空气中PM_(2.5)、PM_(10)和NO_2年均浓度进行污染来源分析、决策支持分析和减排情景模拟评估,展示了模型在环境治理措施优先级筛选和政府间联合治理措施协调建议方面的功能和作用,以期为中国环境空气质量预测预报、环境质量管理措施的制定和成效评估等环境服务与管理工作提供借鉴。     

基于双指标多等级的土壤重金属生态风险评价

采用土壤中重金属的全量和有效态双重指标,建立基于多等级综合评估的土壤中重金属生态风险评价模型,将联合概率曲线法引入土壤评价模型,分析重金属暴露浓度与毒性数据的概率分布,考察重金属对土壤生物的毒害程度,从而确定土壤中重金属对于生态系统的风险。建立从简单到复杂的多等级综合评价方法,表征重金属的污染等级、浓度效应、多种重金属污染物的协同效应、不同重金属的毒性效应和土壤对不同重金属污染物的敏感性。选择典型地区采集有代表性的土壤样品,测定不同重金属的总量和有效态,验证评价模型的实用性和评价分级的合理性。旨在解决土壤重金属风险评价的方法学问题,为土壤环境质量管理提供支持。     

Bidens pilosa L. hyperaccumulating Cd with different species in soil and the role of EDTA on the hyperaccumulation

Environmental Science and Pollution Research - Investigating whether the same hyperaccumulator shows a high accumulation potential for different species of the same heavy metal in the soil has...     

活性红M-3BE脱色真菌的筛选及脱色性能研究

从自然环境中分离到2株对染料活性红M-3BE具有明显脱色效果的真菌,经形态学和26S rDNA序列分析,将其鉴定为Fusarium oxysporum和Geosmithia viridis.采用初始浓度50 mg/L M-3BE的液体培养基同步脱色培养,F.oxysporum在24 h内对M-3BE的脱色率为96%,G.viridis在36 h内的脱色率为82%.对脱色酶系的检测结果表明,脱色过程中F.oxysporum能产生LiP和MnP,G.viridis则仅产生LiP.此外,F.oxysporu和G.viridis对另外7种染料的脱色率也可分别达到16%～100%和83.3%～100%.     

Simulation of global warming potential (GWP) from rice fields in the Tai-Lake region,China by coupling 1:50,000 soil database with DNDC model

Quantifying greenhouse gas (GHG) emissions from wetland ecosystems is a relatively new issue in global climate change studies. China has approximately 22% of the world's rice paddies and 38% of the world's rice production, which are crucial to accurately estimate the global warming potential (GWP) at regional scale. This paper reports an application of a biogeochemical model (DeNitrification and DeComposition or DNDC) for quantifying GWP from rice fields in the Tai-Lake region of China. For this application, DNDC is linked to a 1:50,000 soil database, which was derived from 1107 paddy soil profiles compiled during the Second National Soil Survey of China in the 1980–1990s. The simulated results show that the 2.34 Mha of paddy soil cultivated in rice–wheat rotation in the Tai-Lake region emitted about ?1.48 Tg C, 0.84 Tg N and 5.67 Tg C as CO₂, N₂O, and CH₄ respectively, with a cumulative GWP of 565 Tg CO₂ equivalent from 1982 to 2000. As for soil subgroups, the highest GWP (26,900 kg CO₂ equivalent ha^?1 yr^?1) was linked to gleyed paddy soils accounting for about 4.4% of the total area of paddy soils. The lowest GWP (5370 kg CO₂ equivalent ha^?1 yr^?1) was associated with submergenic paddy soils accounting for about 0.32% of the total area of paddy soils. The most common soil in the area was hydromorphic paddy soils, which accounted for about 53% of the total area of paddy soils with a GWP of 12,300 kg CO₂ equivalent ha^?1 yr^?1. On a regional basis, the annual averaged GWP in the polder, Tai-Lake plain, and alluvial plain soil regions was distinctly higher than that in the low mountainous and Hilly soil regions. As for administrative areas, the average annual GWP of counties in Shanghai city was high. Conversely, the average annual GWP of counties in Jiangsu province was low. The high variability in soil properties throughout the Tai-Lake region is important and affects the net greenhouse gas emissions. Therefore, the use of detailed soil data sets with high-resolution digital soil maps is essential to improve the accuracy of GWP estimates with process-based models at regional and national scales.