大型再生水厂不同工艺的COD、TN和TP去除效果及其影响因素分析

以北京某大型再生水厂为研究对象,通过统计分析历史数据,系统研究了2008和2013年不同工艺(倒置A2/O工艺、A2/O工艺、A2/OMBR工艺)中主要污染物COD、TN和TP去除效果的年际、年内汛期、寒冷季和温暖季的变化特征,并分析了2013年这3种污染物去除效果变化的影响因素.结果表明,同2008年相比,2013年不仅进水的COD浓度升高,TN浓度和TP浓度降低,导致进水的碳/氮/磷比值从2008年的100∶14.5∶1.4升高到2013年的100∶10.1∶0.9,而且主要污染物去除效果均有明显改善,改善幅度依次为TPCODTN.年内变化特征表现为:汛期进水COD、TN和TP的浓度降低但波动加剧,它们的去除率降低,因此汛期出水COD稳定、TN浓度降低而TP浓度波动;温暖季进水COD、TN和TP的浓度高,它们的去除率有不同程度提高,因此温暖季出水的TN浓度波动较大、COD和TP浓度稳定.冗余分析(RDA)结果表明,一期倒置A2/O工艺的出水TN和TP浓度同步波动,主要受工况变化影响,脱氮除磷的碳源竞争是导致出水TN浓度降低、TP浓度升高的重要原因.二期A2/O工艺的出水COD浓度和TN浓度主要受进水水质波动影响.三期A2/O-MBR工艺的出水水质最稳定,膜运行性能至关重要.     

Improved Weather Generator Algorithm for Multisite Simulation of Precipitation and Temperature

The KnnCAD Version 4 weather generator algorithm for nonparametric, multisite simulations of temperature and precipitation data is presented. The K‐nearest neighbor weather generator essentially reshuffles the historical data, with replacement. In KnnCAD Version 4, a block resampling scheme is introduced to preserve the temporal correlation structure in temperature data. Perturbation of the reshuffled variable data is also added to enhance the generation of extreme values. The Upper Thames River Basin in Ontario, Canada is used as a case study and the model is shown to simulate effectively the historical characteristics at the site. The KnnCAD Version 4 approach is shown to improve on the previous versions of the model and offers a major advantage over many parametric and semiparametric weather generators in that multisite use can be easily achieved without making statistical assumptions dealing with the spatial correlations and probability distributions of each variable.     

青岛大气气溶胶中铁的溶解度及其影响因素

大气气溶胶的干湿沉降带来的铁对海洋初级生产和固碳能力有着重要影响,但这种影响从根本上决定于沉降铁的溶解度.本文利用2012年12月在青岛连续采集的31个总悬浮颗粒物(TSP)样品,分析了其中微量元素Fe的总浓度和溶解态浓度,讨论了颗粒物浓度、气溶胶来源及酸化过程对Fe溶解度的影响.结果表明,气溶胶中Fe的总浓度和溶解态浓度分别为(3248±1683)ng·m-3和(43.3±16.4)ng·m-3,溶解度为0.57%~4.86%,平均为1.63%±1.02%.随着气溶胶中总Fe浓度的增加,Fe溶解度呈现规律性降低.气溶胶中Fe的溶解度与富集因子(EF)无相关关系,而与无机和有机酸性离子存在显著正相关关系.气团后向轨迹的聚类分析显示,观测期间,64.5%的气溶胶样品主要受北方沙尘源(DS)影响,35.5%的样品主要受到华北城市群等人为源(AS)影响.AS样品中Fe的溶解度平均为2.06%,高于DS样品中的1.36%.两组样品中Fe的EF值相当,但AS样品中酸性离子与溶解度的相关关系明显好于DS组,表明酸化过程可能是造成两组样品Fe溶解度差异的主要原因.     

基于离散裂隙网络的烟台水封洞库渗水点分析

建立在致密结晶岩地区的地下水封洞库开挖过程中洞室及水幕巷道的渗水具有不均匀性,而现阶段主要在开挖后根据实际渗水量组织施工排水,若排水不及时容易造成洞室或巷道大面积浸水而形成安全风险。为在洞室开挖前对渗水点分布及渗水量进行一定预测,从而提前且合理安排排水工作,降低施工风险,以烟台地下水封洞库丁烷库区为例,在对该库区裂隙调查结果进行一定的统计分区后,采用Monte-Carlo随机模拟方法建立离散裂隙网络模型,通过多次迭代确定裂隙模拟置信区间,并选取在置信区间范围内的裂隙模拟结果按照立方定律求取渗透系数,按区间进行水封洞库渗水点分布区划分,同时与实测大流量渗水区域进行比对,结果发现两者具有较好的一致性,表明该方法能借助前期裂隙统计结果预测洞室开挖后渗水情况,协助组织施工期洞室排水。     

An integrated methodology for environmental impacts and costs evaluation in industrial processes

The development of methods for process analysis has contributed to the improvement of production systems. In this context, many models and methodologies have been established in the literature in order to evaluate environmental performance of industrial processes, since it has become an important issue for society. However, few of them analyze environmental impacts and related costs simultaneously. So, this work presents an integrated methodology to perform this evaluation, based on Life Cycle Assessment (LCA) and Activity-Based Costing (ABC) principles. The proposed methodology was applied in a metallurgical industry in Brazil. As result, it allowed to identify the production process stages which have critical environmental impacts and greatest contribution to increase environmental costs of the company.     

典型冰川退缩区铅的来源、累积及历史沉降——以青藏高原海螺沟冰川退缩区为例

为探究青藏高原东部陆地生态系统中铅的来源、累积分配过程及百年来大气铅的沉降状况，以贡嘎山海螺沟冰川退缩区为对象，利用冰川退缩区样地年龄可确定的优势，对160年来完整的植被演替序列进行了系统研究.采用电感耦合等离子体质谱法（ICP-MS）测定了土壤和植物样品中的铅以及其他微量元素的含量，明确了铅在该地区生态系统中的含量和储量变化格局，并采用主成分分析（PCA）解析了土壤铅的潜在来源，评估了历史沉降铅的累积速率.结果表明，森林有机土壤是大气铅的重要汇集区域.大气沉降的铅主要累积于O层中，而C层土壤铅含量相对较低；植物地上部以树枝和树皮铅含量最高，树干铅含量最低.植被序列中不同树种的铅储量变化趋势和植被演替趋势成正相关.在植被生长期，铅储量因生物量增加而不断升高，而随着演替过程中植被的死亡而降低.整个演替系统铅的储量随冰川退缩时间显著增加，至1936年样地的云冷杉顶极群落达到最大值.PCA源解析表明有机土壤中57%左右的铅来自于人为来源铅的大气沉降过程，即外源污染的大气沉降是贡嘎山中铅的主要来源.进一步分析表明，中国西南地区和南亚地区（印度、孟加拉国等）是主要的污染潜在源区.在百年尺度上，大气来源沉降铅在冰川退缩区的平均累积速率为（8.87±3.55） mg/（m²·a）.此研究为探究铅在陆地生态系统中的来源、分配及累积，理解未来全球变化对铅的环境地球化学过程影响提供了经典范例与数据依据.     

Effectiveness of Multi‐Site Weather Generator for Hydrological Modeling1

Khalili, Malika, François Brissette, and Robert Leconte, 2011. Effectiveness of Multi‐site Weather Generator for Hydrological Modeling. Journal of the American Water Resources Association (JAWRA) 1‐12. DOI: 10.1111/j.1752‐1688.2010.00514.x Abstract: A multi‐site weather generator has been developed using the concept of spatial autocorrelation. The multi‐site generation approach reproduces the spatial autocorrelations observed between a set of weather stations as well as the correlations between each pair of stations. Its performance has been assessed in two previous studies using both precipitation and temperature data. The main objective of this paper is to assess the efficiency of this multi‐site weather generator compared to a uni‐site generator with respect to hydrological modeling. A hydrological model, known as Hydrotel, was applied over the Chute du Diable watershed, located in the Canadian province of Quebec. The distributed nature of Hydrotel accounts for the spatial variations throughout the watershed, and thus allows a more in‐depth assessment of the effect of spatially dependent meteorological input on runoff generation. Simulated streamflows using both the multi‐site and uni‐site generated weather data were statistically compared to flows modeled using observed data. Overall, the hydrological modeling using the multi‐site weather generator significantly outperformed that using the uni‐site generator. This latter combined to Hydrotel resulted in a significant underestimation of extreme streamflows in all seasons.     

Formation of Social Acceptability Judgments and Their Implications for Management of Rare and Little-Known Species

Abstract:  Effective policies for management of rare and little-known species (RLKS) must be not only scientifically valid and cost-effective but also consistent with prevailing social beliefs and values. Limited public awareness of RLKS, however, constrains efforts to frame such policies. Lacking public support, resistance to RLKS programs is likely, particularly when other uses and values are affected. The challenge lies in understanding how public judgments are formed, sustained, and altered. Although the lack of public support often is attributed to inadequate understanding of the scientific bases for policies, research indicates that judgments derive from a complex, albeit poorly understood, suite of factors, including context, trust, esthetics, and personal history. Steps that can enhance public understanding of RLKS management include (1) clarifying the rationale and impacts of policies on the species, (2) specifying the contextual setting, (3) outlining specific actions to be taken, and (4) identifying when and where policies will be employed. Failure to foster understanding and support will leave management dominated by conflict and continued species loss.     

Socio-environmental conflicts on hydropower: The São Luiz do Tapajós project in Brazil

Economic expansion and related resource and infrastructure needs provoke an increase of socio-environmental conflicts worldwide, and methodologies for their comprehensive analysis and understanding are necessary. The present paper suggests a methodology for the analysis of socio-environmental conflicts on hydropower, developed from a case study on the São Luiz do Tapajós project in Brazil. On the basis of qualitative semi-structured interviews, a stakeholder definition and conflict analysis were carried out. The analysis shows that at least five different sub-conflicts, each one with its own characteristics, can be distinguished, and that negotiation on many of these conflicts is difficult. Confrontation processes are therefore likely to occur. The current strategy of conflict treatment falls short of the situation; instead solutions must be sought looking at the underlying conflict causes. A restructuring of the energy policy and the approach to traditional populations is a necessary precondition if robust and comprehensive solutions on the current socio-environmental conflicts on hydropower in the Amazon were to be found.     

STOCHASTIC ANALYSIS OF TIME-AGGREGATED HYDROLOGIC DATA1

Stochastic models fitted to hydrologic data of different time scales are interrelated because the higher time scale data (aggregated data) are derived from those of lower time scale. Relationships between the statistical properties and parameters of models of aggregated data and of original data are examined in this paper. It is also shown that the aggregated data can be more accurately predicted by using a valid model of the original data than by using a valid model of the aggregated data. This property is particularly important in forecasting annual values because only a few annual values are usually available and the resulting forecasts are relatively inaccurate if models based only on annual data are used. The relationships and forecasting equations are developed for general aggregation time and can be used for hourly and daily, daily and monthly or monthly and yearly data. The method is illustrated by using monthly and yearly streamflow data. The results indicate that various statistical characteristics and parameters of the model of annual data can be accurately estimated by using the monthly data and forecasts of annual data by using monthly models have smaller one step ahead mean square error than those obtained by using annual data models.