矿业权集聚、经济增长与区域贫困减缓

本文基于泰尔指数法,计算并测度了中国资源富集区的城乡收入差距与行业(矿业)收入差距,然后结合矿业权集聚度的测度结果和中国资源税改革的变动特征,建立面板数据回归模型,考察了2004—2014年中国资源富集区矿业权集聚与经济增长、贫困减缓的长期关系。本文的主要结论是:资源税对矿业权集聚水平和矿业经济增长具有正向刺激作用,但矿业经济增长并不利于地区经济的整体改进,也不利于区域贫困减缓。资源税低水平征收对"资源诅咒"和"区域贫困"具有传导效应,进而对资源富集区的贫困减缓形成阻滞作用。另外,矿业权集聚对地区贫困的影响存在异质性,异质性揭示了区域资源性收益分配存在的差异。短期来看,矿业权集聚使中央企业惠及更多,是引致"富饶中的贫困"怪圈的重要原因;但长期来看,随着矿业权集聚度的提升,地方政府获得的累积性资源性收益不断上升,渐次增强了地方政府通过社会保障支出实施收入调节的能力,总体上有利于区域贫困的减缓。因此,为实现资源富集区的精准扶贫,资源主管部门在制定减贫措施前,应根据不同区域特点区别对待,短期内应着力于调整资源性收益分配机制,赋予地方更多资源性收益,并加大对社会的保障性支出;长期来看,应探索建立合理有效的资源税体制,促进经济增长方式的多样化,并鼓励科技创新,进一步提高社会群体的受教育程度,从根本上改变区域贫困产生的内生性环境和外生性环境。     

Evaluation of Existing and Modified Wetland Equations in the SWAT Model

The ability to accurately simulate flow and nutrient removal in treatment wetlands within an agricultural, watershed‐scale model is needed to develop effective plans for meeting nutrient reduction goals associated with protection of drinking water supplies and reduction of the Gulf of Mexico hypoxic zone. The objectives of this study were to incorporate new equations for wetland hydrology and nutrient removal in Soil and Water Assessment Tool (SWAT), compare model performance using original and improved equations, and evaluate the ramifications of errors in watershed and tile drain simulation on prediction of NO₃‐N dynamics in wetlands. The modified equations produced Nash‐Sutcliffe Efficiency values of 0.88 to 0.99 for daily NO₃‐N load predictions, and percent bias values generally less than 6%. However, statistical improvement over the original equations was marginal and both old and new equations provided accurate simulations. The new equations reduce the model's dependence on detailed monitoring data and hydrologic calibration. Additionally, the modified equations increase SWAT's versatility by incorporating a weir equation and an irreducible nutrient concentration and temperature coefficient. Model improvements enhance the utility of SWAT for simulating flow and nutrients in wetlands and other impoundments, although performance is limited by the accuracy of inflow and NO₃‐N predictions from the contributing watershed. Editor's note : This paper is part of the featured series on SWAT Applications for Emerging Hydrologic and Water Quality Challenges. See the February 2017 issue for the introduction and background to the series.     

阿什河水系枯水期氮污染特征与同位素源解析

在阿什河水系设置20个采样点,采用水质监测技术和稳定氮同位素示踪技术,研究了枯水期阿什河氮污染特征和硝酸盐氮污染来源。结果表明:(1)阿什河枯水期大部分采样点氨氮浓度较低,大部分区域达到或优于《地表水环境质量标准》(GB3838—2002)中Ⅲ类。上游河段硝酸盐氮浓度较低,中游河段较高,到下游河段略有降低。总氮浓度较高,最高达19.4mg/L。(2)阿什河水系采样点15 N的丰度(δ15 N)主要处于0.11%~0.21%、0.42%~0.78%、0.83%~0.88%和1.09%~1.26%。稳定15 N同位素示踪解析阿什河硝酸盐氮污染来源表明,阿什河上游污染源主要为大气沉降、土壤有机氮和人工化肥;中游主要受畜禽养殖污水和生活污水污染;下游主要受城镇生活污水和工业废水影响。     

钱塘江引水降氮示范工程的构建和运行研究

针对杭州西湖钱塘江引水低碳高氮的特点,提出以改性水草塘—复合垂直流人工湿地(IVCW)相耦合的生物—生态工艺进行引水处理,对该引水降氮示范工程的构建和运行效果进行了跟踪研究。结果表明,整个稳定运行期间(2012年7月19日至11月19日),耦合工艺对COD、TN、硝酸盐氮、TP的平均去除率分别为52.27%、52.49%、53.69%、52.79%,系统出水满足《地表水环境质量标准》(GB 3838—2002)Ⅳ标准;改性水草塘和IVCW单元作为耦合工艺的两个重要组成部分,在脱氮、除磷方面优势互补,从而共同保证出水水质的稳定;在改性水草塘单元,温度与COD的去除效果呈负相关关系,进水C/N与TN去除效果呈正相关关系;而在IVCW单元,温度与COD、TN的去除效果均呈线性正相关关系,进水C/N与两者的去除效果也呈正相关关系,且对COD的影响要大于对TN的影响。     

3种运行模式下CAST工艺脱氮性能

以模拟城市污水为处理对象,采用循环式活性污泥法（CAST）反应器,对3种运行模式（M1：常规模式,M2：缺氧好氧模式、M3：缺氧好氧交替模式）下系统的脱氮性能进行了研究,比较了各模式下CAST反应器的氨氮和总氮的去除效率,并对各模式下典型周期内氮基质浓度变化进行了考察,以确定系统的脱氮模式。结果表明,在氨氮去除不成为限制条件（去除率〉90％）的条件下,3种运行模式下系统总氮的平均去除率分别为67．3％、70．6％和82．4％,以缺氧好氧交替模式下的最高;M1、M2和M3均可实现亚硝酸型硝化,但随着温度的升高,亚硝酸型硝化逐渐消失。静态实验分析表明,3种模式下系统的氨氧化速率大小次序为：vN：M1〉vN：M2〉vN：M3,反硝化速率大小次序为：vDN,M2〉vDN,M3〉vDN,M1。     

竹制填料生物接触氧化工艺处理污染河水简

针对受污染的湖溪河水质特征,以传统弹性塑料填料做对比,研究以竹球和竹丝为填料的生物接触氧化工艺,考察填料的挂膜时间、生物量和污水处理效果;确定连续曝气和间歇曝气时反应器的最优运行工况：连续曝气时为HRT=7.5 h,DO=3 mg/L;间歇曝气时为厌氧1.2 h、好氧6.3 h交替运行。实验结果表明,与弹性塑料填料相比,竹制填料挂膜速度快,竹球填料的水处理效果最好;连续曝气最优工况下竹球填料反应器中COD、TN、NH₃-N和TP的平均去除率分别为66.7%、47.9%、57.1%和30.6%;间歇曝气最优工况下竹球填料反应器中COD、TN、NH₃-N和TP的平均去除率分别64.08%、39.95%、60.7%和54.68%;竹制填料可替代传统的塑料填料作为生物接触氧化工艺的载体填料。     

湖库型水体总氮总量控制目标的区域分配研究

基于层次分析法原理,以资源禀赋、社会经济、农业生产生活、污染治理水平为主要考虑因素设计指标体系和层次结构,建立了湖库型水体总氮总量控制目标分配方法,并在石头口门水库流域进行了应用,为湖库型水体总氮总量控制目标分配及石头口门水库流域总氮总量控制提供借鉴。     

光/电法氨氮降解过程中协同作用的研究

为了研究光/电法在氨氮降解过程中的协同作用,采用光/电法降解模拟工业循环冷却水中的氨氮,并对氨氮降解过程中的各影响因素进行了研究,考察了氯离子浓度和溶液p H对降解效率的影响。结果表明,与传统的光催化法和电化学法相比,光/电法在氨氮降解过程中存在良好的协同效应,因而具有更高的氨氮去除率,这主要归功于溶液氯离子的促进作用。另外,在酸性条件下,氨氮降解效率得到进一步加强。当p H在4~5之间,电流密度为10 m A/cm2,Na Cl浓度为100 mg/L时,在经过90 min光/电法处理后氨氮去除率高达95%,且N2占总氨氮降解产物的84.2%。     

含氨氮催化剂生产废水的处理

采用加入淀粉的短程硝化-反硝化一体化技术处理低碳含NH3-N催化剂废水。通过中试确定了适宜的工艺参数,并在工业化装置上进行了验证。试验结果表明：在DO为0.5 mg/L左右、淀粉加入量为0.25 kg/ m3、HRT=30 h的条件下,短程硝化-反硝化一体化技术具有较好的处理效果,NH3-N去除率大于97%,且具有较强的抗冲击负荷的能力; 出水的COD<100 mg/L,ρ（NH3-N）<10 mg/L,达到GB 8978—1996《污水综合排放标准》的一级排放标准。工业化装置的运行费用以NH3-N计为2.3 元/kg、以废水计为4.6 元/t。该法适用于中低浓度（ρ（NH3-N）<300 mg/L）废水的处理。     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.