Sediment and nutrient dynamics during snowmelt runoff generation in a southern Taiga catchment of Russia

The water quality of the Volga catchment, Russia, is diminished and major nutrients reach critical levels. Proper management strategies depend on process knowledge about nutrient sources and pathways as well as appropriate models. For the 18.8 km² experimental catchment Lubazhinkha, 100 km south of Moscow, a monitoring scheme was conducted to identify runoff generation and nutrient source areas. The grey forest soils of the catchment are utilized with arable land and pasture (54%) and forest areas. The received results show a high intra-annual and inter-annual dynamic of the snowmelt runoff generation as major hydrological process. Overall sediment export rates during the 3 years of snowmelt investigation from 2003 to 2005 are low with a maximum of 0.33 t ha⁻¹ during snowmelt period 2005 and effectively reduced by a dam at the catchment outlet. Also, the total phosphorus loss from the catchment is low reaching from 0.03 to 0.35 kg ha⁻¹ during the snowmelt periods. However, sediment and total phosphorus concentrations vary within one snowmelt event and can reach high concentrations. Detailed analysis of element concentrations during snowmelt events allows an identification of different flow components and runoff generating mechanisms. During low flow situations phosphorus and dissolved organic carbon are transferred from the arable soils with slow flow components to the channel. In contrast to this situation, the sources of sediment and nutrients split up temporarily and spatially during high flow situations. Aside arable fields that are source of sediment and phosphorus during snowmelt episodes, the forested areas were detected as major source for the export of dissolved organic carbon with surface runoff. In particular these areas are characterized by a late thawing of the topsoil which causes a delayed peak of dissolved organic carbon concentration. The awareness of the dynamic and complex catchment reaction during snowmelt events is of importance for the development of proper management strategies.     

富营养化水体内源磷释放和稳定化研究进展

水体富营养化是当今世界面临的一个严峻的环境问题,很多研究表明:水体沉积物中磷的释放是引起富营养化的主要因素,因此国内外很多学者对水体沉积物中磷形态,磷释放的影响因素和控制技术进行了研究。研究发现:pH、温度、溶解氧、氧化还原电位和扰动等环境因子对沉积物中磷的释放均有影响,但其影响程度不同。国外关于水体沉积物中磷的控制技术的研究比较多,其中包括供氧技术、原位控制技术和覆盖技术等,还有近几年发现的水生植物控制技术,但国内对沉积物污染控制技术的研究还停留在实验探索阶段,应用的很少。     

颤蚓生物扰动对沉积物氮释放的影响

通过实验室模拟沉积物中颤蚓生物扰动过程,研究了生物扰动对沉积物TN释放的影响,并探讨了温度、pH和DO对颤蚓生物扰动作用下TN释放过程的影响.结果表明,颤蚓生物扰动能促进沉积物TN释放,且促进效果随颤蚓密度的增加而提高.适当地提高温度有助于颤蚓快速生长,提高生物扰动对TN释放的促进效果,温度由15℃提高到25℃,上覆水...     

酸化液对厌氧释磷好氧吸磷速率的影响研究

采用序批式试验研究了酸化液对聚磷菌厌氧释磷好氧吸磷速率的影响。同一活性污泥混合液中聚磷菌的释磷潜力相当,混合液中挥发性脂肪酸越多则越有利于激发聚磷菌的释磷潜能。酸化液投加量越大,对应的混合液中聚磷菌的平均释磷速率也越大。当酸化液投加量为30 mg/L(以TOC计)时,聚磷菌的平均释磷速率达0.137 mg/(mg.d),是未投加酸化液工况的3.26倍。聚磷菌厌氧释磷过程中,活性污泥的MLVSS值逐渐增大,而MLSS值却不断减小,这是由聚磷菌释磷反应过程中聚磷颗粒和糖原的消耗,以及PHB的生成而产生的。碳源充足与否,对聚磷菌的平均好氧吸磷速率影响不大,研究各工况中,聚磷菌的平均吸磷速率在0.129~0.160 mg/(mg.d)内。碳源越充足,则聚磷菌在好氧吸磷反应持续的时间越长,因此,具有更强的超量吸磷能力。酸化液投加量为20 mg/L时(以TOC计),聚磷菌在好氧吸磷结束时,出水的SP浓度能减少到0.5 mg/L以下。     

三峡水库主要支流沉积物的磷吸附/释放特性

以三峡水库主要支流寸滩、小江、大宁和香溪表层沉积物为对象,通过连续提取法分析4种沉积物磷的赋存形态,模拟研究了pH和温度对不同沉积物磷吸附/释放的影响.结果表明,寸滩、小江、大宁和香溪表层沉积物磷赋存形态均以无机磷为主(占总磷含量的59.29%～78.82%),其中钙结合态磷(Ca-P)含量大于铁/铝结合态磷(Fe/Al-P).上覆水pH值对沉积物磷释放有明显的影响,中性条件下磷释放量最低,酸性条件下由于占优势的Ca-P大量溶解导致磷释放量大于碱性条件,因此,水体酸化易增加三峡主要支流(寸滩、小江、大宁和香溪)的磷释放风险.pH值变化亦明显影响沉积物对于磷的吸附,pH在6～8范围内,4种沉积物对于磷的吸附量保持在较高的水平,吸附量从大到小的顺序为:小江大宁寸滩香溪.偏酸性条件(pH6)下过多的H 与固体表面竞争溶解态活性磷(SRP);偏碱性条件(pH>8)下大量的OH->与SRP竞争沉积物表面的吸附位,故这-pH值范围内(pH<6或pH>8)磷的吸附量明显减少.磷在4种沉积物上的吸附为吸热过程,不同温度下(278K、293K、303K)沉积物对P的吸附均符合修正后的Langmuir模型,标准吸附热为18.92～46.63 kJ·mol-1其中,磷从水体分配到大宁河沉积物中的标准吸附热最大.     

某市给水管网中铁释放现象影响因素与控制对策分析

针对某市管网水中铁浓度的变化规律进行了系统的研究,确定了管垢向管网水中释放出的铁是管网水中铁超标的主要原因.研究中发现铸铁管和镀锌钢管中管垢的主要化学组分为铁.在给水管网中,管网水的溶解氧和余氯浓度低时,对应的管网水中铁释放现象严重,其原因是还原条件使管垢表面的致密钝化层被破坏,造成二价铁的大量释放.根据试验结果提出了给水管网中铁释放和“红水”现象的控制对策.     

Reduction of Baltic Sea Nutrient Inputs and Allocation of Abatement Costs Within the Baltic Sea Catchment

The Baltic Sea Action Plan (BSAP) requires tools to simulate effects and costs of various nutrient abatement strategies. Hierarchically connected databases and models of the entire catchment have been created to allow decision makers to view scenarios via the decision support system NEST. Increased intensity in agriculture in transient countries would result in increased nutrient loads to the Baltic Sea, particularly from Poland, the Baltic States, and Russia. Nutrient retentions are high, which means that the nutrient reduction goals of 135 000 tons N and 15 000 tons P, as formulated in the BSAP from 2007, correspond to a reduction in nutrient loadings to watersheds by 675 000 tons N and 158 000 tons P. A cost-minimization model was used to allocate nutrient reductions to measures and countries where the costs for reducing loads are low. The minimum annual cost to meet BSAP basin targets is estimated to 4.7 billion €.     

Recent application of Computational Fluid Dynamics (CFD) in process safety and loss prevention: A review

In recent years, significant progress has been made to ensure that process industries are among the safest workplaces in the world. However, with the increasing complexity of existing technologies and new problems brought about by emerging technologies, a strong need still exists to study the fundamentals of process safety and predict possible scenarios. This is attained by conducting the corresponding consequence modeling and risk assessments. As a result of the continuous advancement of Computational Fluid Dynamics (CFD) tools and exponentially increased computation capabilities along with better understandings of the underlying physics, CFD simulations have been applied widely in the areas of process safety and loss prevention to gain new insights, improve existing models, and assess new hazardous scenarios. In this review, 126 papers from 2010 to 2020 have been included in order to systematically categorize and summarize recent applications of CFD for fires, explosions, dispersions of flammable and toxic materials from accidental releases, incident investigations and reconstructions, and other areas of process safety. The advantages of CFD modeling are discussed and the future of CFD applications in this research area is outlined.     

过硫酸盐缓释材料释放过程模型构建

为预测评估过硫酸盐缓释材料的释放性能,对释放过程模型的构建以及模型的验证进行了研究。借助微积分思想,从材料体的概化分割、初始条件设定、每个小单元的状态标定、各个小单元中过硫酸钾的迁移变化量以及材料最外层释放过硫酸盐的量5个方面构建过硫酸盐缓释材料释放模型,利用Excel-VBA编程实现其释放过程模拟。采用欧盟标准NEN7375测试过硫酸盐缓释材料释放性能并获得模型参数。通过输入相关模型参数得到过硫酸盐动态迁移过程及其释放特征曲线,并利用实测数据与模拟数据进行拟合校验。结果表明,模型模拟值与实测值拟合较好,平均误差为1.88%,表明该模型设计合理,能够准确模拟过硫酸盐缓释材料释放过程,可作为缓释材料优化设计工具。     

不同类型湖泊沉积物中氮释放规律研究

通过对武汉市东湖子湖郭郑湖、庙湖以及南湖这3个不同类型的湖泊进行释氮模拟实验,结果表明:(1)在厌氧条件下,不同污染程度的湖泊中沉积物释氮作用均比较明显。为了抑制沉积物向上覆水释氮,控制湖泊富营养化,保持湖泊较高的溶解氧水平是必要的。(2)在厌氧条件下,高温对不同类型湖泊总氮和氨氮的释放均能起到促进作用。(3)沉积物与上覆水间污染物的浓度梯度越大,总氮和氨氮的释放速率与释氮量也越大,此时温度的影响不明显。(4)通过比较3类湖泊沉积物上覆水中总氮和氨氮两者的释放浓度可知,氨氮的释放贡献十分显著,因此控制氨氮的释放量对于控制湖泊氮释放量具有显著效果。