污泥龄对LSP & PNR污泥减量新工艺运行效能的影响

通过研究分析污泥龄(SRT)对富磷污水除磷的LSP&PNR污泥减量新工艺运行效果的影响,结果发现,延长污泥龄有利于提高系统的厌氧释磷能力,但不影响其总的除磷率,同时磷的回收比例增大,当SRT=50 d时,磷回收率取得最大值70.4%;LSP&PNR系统污泥龄增加,还有利于污泥产率的降低.试验还发现,排富磷污水除磷的长污泥龄LSP&PNR系统的除磷效率与污泥产率之间不存在制约关系,即系统可以同时获得优异的污泥减量与生物除磷效果,当SRT=50 d时,每降解1 kg COD仅产生0.143 kg污泥,而除磷率达最高值92.8%;LSP&PNR系统中SRT、DO与SVI之间存在一定的相关性,在供氧充足(DO=0.8～1.5 mg/L)条件下,SRT增加,SVI越高,但对于SRT为50 d的LSP&PNR系统,稳定运行时没有污泥膨胀之虞.     

污泥龄对LSP & PNR污泥减量新工艺运行效能的影响

通过研究分析污泥龄（SRT）对富磷污水除磷的LSP&PNR污泥减量新工艺运行效果的影响,结果发现,延长污泥龄有利于提高系统的厌氧释磷能力,但不影响其总的除磷率,同时磷的回收比例增大,当SRT=50 d时,磷回收率取得最大值70.4％;LSP&PNR系统污泥龄增加,还有利于污泥产率的降低。试验还发现,排富磷污水除磷的长污泥龄LSP&PNR系统的除磷效率与污泥产率之间不存在制约关系,即系统可以同时获得优异的污泥减量与生物除磷效果,当SRT=50 d时,每降解1 kg COD仅产生0.143 kg污泥,而除磷率达最高值928％;LSP&PNR系统中SRT、DO与SVI之间存在一定的相关性,在供氧充足（DO＝0.8～1.5 mg/L）条件下,SRT增加,SVI越高,但对于SRT为50 d的LSP&PNR系统,稳定运行时没有污泥膨胀之虞。     

错流式生物滴滤床净化甲苯废气

采用焦化厂污泥为菌源驯化甲苯降解菌,接种错流式生物滴滤床,净化含甲苯废气。研究了生物滴滤床的挂膜启动和长期运行情况,填料和营养液对滴滤床去除能力的影响,并对长期运行的压降进行了观察分析。反应器挂膜启动需要6 d时间,稳定运行的平均去除效率为95％,单位体积最大去除负荷为251 g/(m³·h)。结果表明,采用错流式生物滴滤床可以有效去除甲苯废气;以比表面积大的生物陶粒作为填料以及定期适量更换营养液,均有助于提高生物滴滤床的去除能力;错流式生物滴滤床具有压降小、气液分布均匀的特点。     

土壤柴油污染修复的抽气提取去除实验研究

为得到土壤气相抽提(SVE)去除柴油的优化条件,进行了一维土柱抽气提取去除柴油污染物的实验研究,研究不同初始含水率、不同抽气量对污染土壤中柴油去除率的影响及不同深度残留柴油的变化规律。结果表明：在本实验模拟的范围内,抽气量越大,SVE处理效果越好;初始含水率越低,处理效果越好;此外,不同深度去除率变化的规律基本上是随深度的增大而减小。实验结果可为土壤轻油污染实际治理提供实验数据基础。     

基于模糊四元联系数的防洪工程体系安全综合评价模型

防洪工程体系是由随机、模糊、未确知等众多不确定性因子组成的复杂系统,它至今仍是洪水灾害管理的主体,对该体系综合安全进行定量评价可为洪水灾害管理提供重要依据.模糊四元联系数是集对分析中同异反联系数的推广,它可更深入地分析系统中的各种不确定性.利用模糊四元联系数建立了防洪工程体系安全综合评价模型,用联系度可描述评价对象与评价标准之间的关系,其结果简便直观,能清晰地反应评价对象和评价标准间的动态联系.用该模型综合评价了实际防洪工程体系的安全程度,其结果与物元分析等方法所得结果一致.     

西安城市暴雨内涝灾害气象预警系统研究

介绍了西安城市暴雨内涝灾害气象预警系统的技术路线及原理.该系统包含本地化的城市暴雨内涝仿真模型,并以城区加密气象自动站资料、多普勒雷达降水估算产品、数值预报产品、主观预报等作为实况和模拟用的降雨边界条件,结合西安市区地理地貌特征、城市规划、排水系统特征、排水规则、防洪工程等多方面的非气象资料建立而成,具备一定的内涝动态监测预报能力.对2006年6月3日内涝过程进行了模拟,效果较好,能够满足预警需求.     

喻家土扁滑坡形成的力学机理与险情分析

喻家滑坡发现于去年5月,体积近17×104m3,呈长条纺棰状,分成上.下滑块,本文从斜坡的变形历史、特征调查入手,较深入地研究了该滑坡滑移-拉裂-推动-牵引的耦合力学机理,该滑坡正处在蠕滑阶段,近期存在整体滑移和出现较大危害的险情,已引起有关部门的重视,并采取了有力的减灾防灾措施.     

阵性泥石流运动与堆积的欧拉─拉格朗日模型──Ⅰ.理论

自然界中的泥石流具有突发性和非恒定性的特点。为了模拟典型泥石流现象,在流团模型的 基础上,进一步完善了基于欧拉─拉格朗日（Ｅ—Ｌ）观点的ＰＩＣ（Ｐａｒｃｅｌ　Ｉｎ　Ｃｅｌｌ）算法,细化了流元结 构,建立了能够模拟典型阵性泥石流发生、运动和堆积的准结构两相流模型。求解该模型不仅可以 模拟泥石流运动过程,而且可以对泥石流的堆积过程、停积形态、冲刷特征及泥石流中多组分颗粒 的分选特征进行定量描述。     

Co-treatment of hydrogen sulfide and methanol in a single-stage biotrickling filter under acidic conditions

Biofiltration of waste gases is cost-effective and environment-friendly compared to the conventional techniques for treating large flow rates of gas streams with low concentrations of pollutants. Pulp and paper industry off-gases usually contain reduced sulfur compounds, such as hydrogen sulfide and a wide range of volatile organic compounds (VOCs), e.g., methanol. It is desirable to eliminate both of these groups of compounds. Since the co-treatment of inorganic sulfur compounds and VOCs in biotrickling filters is a relatively unexplored area, the simultaneous biotreatment of H2S and methanol as the model VOC was investigated. The results showed that, after adaptation, the elimination capacity of methanol could reach around 236 g m(-3) h(-1) with the simultaneous complete removal (100%) of 12 ppm H2S when the empty bed residence time is 24 s. The pH of the system was around 2. Methanol removal was hardly affected by the presence of hydrogen sulfide, despite the low pH. Conversely, the presence of the VOC in the waste gas reduced the efficiency of H2S biodegradation. The maximal methanol removal decreased somewhat when increasing the gas flow rate. This is the first report on the degradation of methanol at such low pH in a biotrickling filter and on the co-treatment of H2S and VOCs under such conditions.     

Spectroscopic Distribution of Dissolved Organic Matter in a Dam Reservoir Impacted by Turbid Storm Runoff

Spectroscopic characteristics of dissolved organic matter (DOM) in a large dam reservoir were determined using ultraviolet absorbance and fluorescence spectroscopy to investigate spatial distribution of DOM composition after turbid storm runoff. Water samples were collected along a longitudinal axis of the reservoir at three to four depths after a severe storm runoff. Vertical profiles of turbidity data showed that a turbid water layer was located at a middle depth of the entire reservoir. The spectroscopic characteristics of DOM samples in the turbid water layer were similar to those of terrestrial DOM, as demonstrated by the higher specific UV absorbance (SUVA) and the lower fluorescence emission intensity ratio (F ₄₅₀/F ₅₀₀) compared to other surrounding DOM samples in the reservoir. Synchronous fluorescence spectroscopy revealed that higher content of humic-like DOM composition was contained in the turbid water. Fluorescence excitation–emission matrix (EEM) showed that lower content of protein-like aromatic amino acids was present in the turbid water DOM. The highest protein-like fluorescence was typically observed at a bottom layer of each sampling location. The bottom water DOM exhibited extremely high protein-like florescence near the dam site. The particular observation was attributed to the low water temperature and the isolation of the local bottom water due to the upper location of the withdrawal outlet near the dam. Our results suggest that the distribution of DOM composition in a dam reservoir is strongly influenced by the outflow operation, such as selective withdrawal, as well as terrestrial-origin DOM inputs from storm runoff.