分散式高负荷地下渗滤污水处理系统的设计和运行

以广东佛山利华员工村生活污水处理工程为例,介绍了高负荷地下渗滤污水处理系统的设计方案和运行情况。该工程污水负荷高达56 cm/d,对进出水采样监测结果表明：系统对COD、BOD5、SS、NH4＋-N、色度、TN和TP的平均去除率分别为87.7%、78.9%、92.5%、87.6%、90%、52.2%和76.3%,出水的...     

填料在净化污水过程中渗透性能变化趋势的研究

选取腐殖垃圾和砂以及两者质量比分别为4:1、3:2、2:3的混合物共5种填料,在1.0 m/d的水力负荷下,进行人工快速渗滤系统净化生活污水的试验,研究填料在进水过程中渗透性能的变化趋势.结果表明,腐殖垃圾的初始饱和水力渗透系数(K)最大,为3.32×10-2cm/s,而砂的初始K只有5.14×10-3cm/s,腐殖垃圾含量越大的混合物其仞始K也越大.在净化污水的过程中,5种填料的K逐渐减小,腐殖垃圾含量越大的混合物其K降幅也越大.随着进水时间的延长,各个填料柱填料层50～250 mm处的水头损失占总水头损失(填料层50～450mm处)的比例均逐渐增加,最终各个填料柱均发生堵塞,堵塞均发生在填料层50mm以上范围内.     

人工土壤渗滤的吸附效应

实验研究了不同粒径砂砾对颗粒COD的吸附,并在此研究基础上构建人工土壤渗滤系统,着重分析了颗粒COD在系统中的吸附和堵塞。主要结论包括:(1)颗粒直径为0.1～0.3mm的石英砂对于颗粒COD具有很好的去除效果;(2)人工土壤渗滤对颗粒COD去除率为50%～90%之间,最高可达93.66%;(3)在本实验条件下,悬浮物截留、吸附是引起人工土壤渗滤系统堵塞的主导作用,采用掩水期与落干期交替运行方式,可有效解决由此造成的堵塞问题,保证系统的长期稳定运行。     

LAS对人工快滤系统去除TP的影响

文章运用人工土柱模拟的方法来研究LAS对人工快滤系统去除TP的影响。研究结果表明,随着污水中LAS浓度(≤100mg/L)的增加,人工快滤系统对TP的去除率表现为逐渐下降。TP的去除率大小为处理Ⅰ>处理Ⅱ>处理Ⅲ>处理Ⅳ。在延长干化时间条件下,TP的去除率增大,并且LAS浓度越大效果越明显。LAS对人工快滤系统中TP的去除有着显著的影响;但合理地控制工艺参数能够实现LAS和TP的有效去除。     

多层渗滤介质系统对城市雨水径流氮磷污染物的净化作用

根据北京市雨水地表径流污染的特点,设计了用于去除屋顶和机动车路面雨水径流污染物的多层渗滤介质系统,进行污染雨水净化效果的试验研究.结果表明,系统对屋顶和机动车路面雨水径流中的氮磷污染物有明显的去除效果,NH+4-N、TN、TP的去除率分别达80%、90%、50%以上,出水浓度达到地表水Ⅱ类水质标准;砂砾料垫层对TP的去除效果稍好于无砂混凝土垫层;雨水径流中氮磷浓度愈高则对氮磷的去除率愈高.雨水径流氮磷浓度变化对氮磷去除效果的影响较小.多层渗滤介质系统通过微生物的硝化和反硝化作用实现生物脱氮是系统去除氮的主要途径;土壤的吸附与沉淀作用是多层渗滤介质系统去除磷的主要途径.系统对城市雨水径流氮磷污染物的净化能力主要发生在垫层及地基土层0.3m以内.     

STEADY-STATE ANALYSIS OF INFILTRATION AND OVERLAND FLOW FOR SPATIALLY-VARIED HILLSLOPES1

ABSTRACT: An envelope of steady-state surface runoff response for a hilislope is established in terms of the probability distribution and spatial arrangement of individual point infiltration capacities and the rainfall intensity. Minimum overland flow is shown to occur when point infiltration capacities are ordered with the highest at the slope bottom, while maximum overland flow occurs when the highest point capacities are at the top of the slope. Equations for envelope curves are developed for both continuous distributions and discretely sampled data; examples for each case are given. Use of the analysis as a rainfall-runoff model is also discussed.     

A SURROGATE-PARAMETER APPROACH TO MODELING GROUNDWATER BASINS1

ABSTRACT: A surrrogate-prarmeter approach to modeling groundwater basins is presented, which has the following advantages over current simulation-type methods: (i) conducivness to modeling nonhomogeneous and nonisotropic basins; (ii) there is no need to guess boundary conditions if accurate information is not available; (iii) the model is amenable to systematic calibration or identification through the use of optimization techniques; and (iv) compatibility with systematic algorithms for analyzing a wide range of management strategies. Since the parameter identification problem is large-scale and nonconvex, it is decomposed through application of generalized duality theory, into several subproblems of smaller size which are solved independently a number of times in order to achieve an overall solution. Results are presented for a hypothetical system of four interacting wells.     

A STRIP MODEL APPROACH TO PARAMETERIZE A COUPLED GREEN‐AMPT KINEMATIC WAVE MODEL1

ABSTRACT: Infiltration processes at the plot scale are often described and modeled using a single effective hydraulic conductivity (Kg) value. This can lead to errors in runoff and erosion prediction. An integrated field measurement and modeling study was conducted to evaluate: (1) the relationship among rainfall intensity, spatially variable soil and vegetation characteristics, and infiltration processes; and (2) how this relationship could be modeled using Green and Ampt and a spatially distributed hydrologic model. Experiments were conducted using a newly developed variable intensity rainfall simulator on 2 m by 6 m plots in a rangeland watershed in southeastern Arizona. Rainfall application rates varied between 50 and 200 mm/hr. Results of the rainfall simulator experiments showed that the observed hydrologic response changed with changes in rainfall intensity and that the response varied with antecedent moisture condition. A distributed process based hydrologic simulation model was used to model the plots at different levels of hydrologic complexity. The measurement and simulation model results show that the rainfall runoff relationship cannot be accurately described or modeled using a single Kg value at the plot scale. Multi‐plane model configurations with infiltration parameters based on soil and plot characteristics resulted in a significant improvement over single‐plane configurations.     

WATERSHED MODELS AND THEIR APPLICABILITY TO CONJUNCTIVE USE MANAGEMENT1

ABSTRACT: Techniques employed to simulate infiltration and subsurface ground-water flow were examined for a number of available watershed models. The large number of processes that these models simulate prohibits detailed analysis of subsurface flow, due to excessive computer and data requirements. Such models emphasize surface flow and include only that portion of water lost to the subsurface and the portion returned to the stream as baseflow. Problems were examined in adopting conjunctive use models, which allow the coordinated exploitation and management of both surface and ground-water resources. The application of conjunctive use models in water resources management is expected to increase dramatically over the next decade.     

SOME HYDROLOGIC IMPACTS OF PLOWING RANGELAND SOILS1

ABSTRACT: Rainfall simulator studies were conducted during 1982 and 1983 on agricultural and native rangeland soils of the same soil series in northern Utah. Results indicate that the same soil series mapped at different locations on agricultural land will have similar 10, 20, and 30 minute infiltration rates and similar interrill erosion rates. Seasonal differences in infiltration and erosion rates were significant. Comparisons between agricultural and native soils were complicated by three-way statistical interactions. Seasonal variations in both infiltration rates and erosion rates were greatest on agricultural soils. Of four soil series on native rangeland, only one showed significant seasonal variation in infiltration rates, while erosion rates were similar across all seasons for all soil series. Soil and cover factors important in predicting infiltration and erosion were identified.