EGSB出水回流对EGSB—SBR工艺处理果汁废水的影响

采用EGSB—SBR工艺处理实际果汁废水(COD 2 608~6 500 mg/L,p H 5.0~7.0)。在EGSB反应器成功启动及驯化完成的情况下,连续运行49 d。实验结果表明:第25天起,控制EGSB回流比为3.00∶1,EGSB反应器可在无须添加Na HCO3的条件下稳定运行,从而降低了废水处理成本;第25天起,平均进水COD,BOD5,SS分别为5 968,2 130,1 020 mg/L,平均出水COD,BOD5,SS分别降至131,11,50 mg/L,平均COD,BOD5,SS去除率分别为98%,99%,95%;组合工艺对该实际果汁废水具有良好的处理效果。     

低COD浓度废水启动EGSB反应器

以厌氧活性污泥和好氧活性污泥接种于2个膨胀颗粒污泥床(EGSB)反应器中,进水流量为10 mL/min,回流量为180 mL/min,进水COD浓度在180 mg/L左右,有机负荷率(OLR)为1.728 kg COD/m3·d左右,污泥负荷率(SLR)为0.19 kg COD/kg MLSS·d左右,出水COD浓度维持在40mg/L左右,COD去除率达80%以上.控制温度在32～35 ℃,pH在6.8～7.2,反应器内氧化还原电位在-340 mV以下,水力停留时间(HRT)4.2 h,上升流速4.86 m/h以及加入80 mg/L絮凝剂(硫酸铝钾),缩短了启动时间,促进了颗粒污泥的形成.分别经过60 d和120 d运行,反应器启动成功.结果表明,上升流速、絮凝剂和污泥类型对颗粒污泥的形成有影响;接种好氧活性污泥在低浓度COD下,合理控制负荷速率能成功启动EGSB反应器.     

Factors affecting the quantitative uncertainty of the estimated short-term intake. Part I—Calculation methods

ABSTRACT

The calculation of the combined uncertainty of the international estimated short-term intake (IESTI) of ethephon residues in apples is shown as an example. The ethephon residues in apples were reported by the Joint FAO (Food and Agriculture Organization of the United Nations)/WHO (World Health Organization) Meeting on Pesticide Residues (JMPR). The apple consumption data were taken from the IESTI (international short-term intake) calculation template used by the JMPR. The IESTI was calculated with the currently used method (case 2a) and a proposed one recommended by the EFSA (European Food Safety Authority)/RIVM (Dutch National Institute for Public Health) Scientific Workshop co-sponsored by FAO and WHO. In this example, the ratio of IESTI_proposed/IESTI_current and their combined relative uncertainty are about 2.8, and 1.7, respectively. The larger IESTI and uncertainty obtained with the proposed equation are the consequence of calculation only with the large portion (LP) instead of its combination with unit mass, and the MRL instead of the highest residue (HR). The LP is the major contributor to the combined uncertainty. Both the calculated IESTI and its combined uncertainty depend on the actual food – pesticide residue combination, and should be calculated for each case.     

基于层次分析法的未确知测度理论泥石流危险性评价

将未确知测度理论与层次分析方法相结合用于评价泥石流危险性。根据泥石流危险性的影响因素和等级划分标准,选取泥石流规模、泥石流发生频率、流域面积、主沟长度、最大相对高差、流域切割密度、主沟床弯曲系数、泥砂补给长度比、24小时最大降雨量、人口密度等10个指标作为泥石流危险评价因子,利用未确知测度理论建立泥石流危险性评价指标的未确知测度函数,通过层次分析方法确定各评价指标的权重,依据置信度识别准则对泥石流危险性进行评价,并结合实例进行了对比分析。研究结果表明,基于层次分析方法的未确知测度理论的评价方法评价过程合理、置信度高、结果可靠,为泥石流危险性评价提供了一种新的方法     

土地利用规划中不确定性的识别和处理研究

首先概述不确定性概念及其产生、相关理论和研究进展,深刻地揭示由于在我国土地和用规划中长期以来忽视开展不确定性研究,导致规划指标偏离现实需求,频繁修改规划方案和违法用地现象不断发生,在此基础上,引入不确定性规划理念,重新审视不确定性在土地利用规划中的地位和作用,全面系统地阐述土地利用规划中不确定性的类型及其特性,具体表现及其识别和处理方法.研究结果表明,由于人们的知识所限,客观世界中普遍存在不确定性.不确定性孕育着规划的产生,规划是对未来不确定性的缓解和抵消.土地利用规划中长期以来忽视业已存在的不确定性,直接影响土地利用规划的科学性和可操作性.土地利用规划中最基本的不确定性是预测未来和为了适应未来而对现在进行调整的失误.对未来的无知所引发的不确定性,只能求助于不确定性科学,增强对未来的预测能力和控制能力,使不确定性的负面影响最小化.     

厌氧膨胀床处理低浓度污水的污泥颗粒和生物活性变化

污泥的聚集形态和活性,是影响厌氧反应器处理效率的关键因素。通过对厌氧膨胀床反应器（anaerobicex—pandedblanketreactor,AEBR）处理低浓度城镇污水在启动和稳定运行期的污泥活性研究,AEBR在启动运行期内,接种颗粒污泥为适应低浓度基质条件,污泥粒径经历从大变小,再重新颗粒化粒径变大的过程。在运行期第103天,粒径小于1000μm污泥的体积比达到44．7％,平均粒径为952μm,到运行期第173天,粒径小于1000μm污泥的体积比降为28％,平均粒径达1179μm,污泥重新颗粒化完成。颗粒污泥适应新的环境后,单位重量污泥的最大比产甲烷活性（specificmetha．nogensisactivity,SMA）值和胞外聚合物含量增加,分别达到112mLCH4／（gVSS·d）和215mg／gVSS。在处理实际城镇污水的AEBR反应器内,辅酶F420含量可以有效指示污泥样品的产甲烷活性,AEBR反应器不同高度位置的污泥活性不一样,反应器底部污泥活性低于中上部区域污泥的活性。     

Implications of Conceptual Channel Representation on SWAT Streamflow and Sediment Modeling

Hydrologic modeling outputs are influenced by how a watershed system is represented. Channel routing is a typical example of the mathematical conceptualization of watershed landscape and processes in hydrologic modeling. We investigated the sensitivity of accuracy, equifinality, and uncertainty of Soil and Water Assessment Tool (SWAT) modeling to channel dimensions to demonstrate how a conceptual representation of a watershed system affects streamflow and sediment modeling. Results showed the amount of uncertainty and equifinality strongly responded to channel dimensions. On the other hand, the model performance did not significantly vary with the changes in the channel representation due to the degree of freedom allowed by the conceptual nature of hydrologic modeling in the parameter calibration. Such findings demonstrated good modeling performance statistics do not necessarily mean small output uncertainty, and partial improvements in the watershed representation may neither increase modeling accuracy nor reduce uncertainty. We also showed the equifinality and uncertainty of hydrologic modeling are case‐dependent rather than specific to models or regions, suggesting great caution should be used when attempting to transfer uncertainty analysis results to other modeling studies, especially for ungauged watersheds. 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.     

Costs and benefits of improving wild salmon passage in a regulated river

This paper presents a cost-benefit analysis (CBA) of a trade-off between salmon and hydropower production in the Ume/Vindel River, northern Sweden. A distinctive element of this analysis is that estimated changes in resource conditions are based on detailed river-specific data. A salmon population model was used to develop the scenario and a novel willingness to pay (WTP) question, which caters for uncertainty in a different manner, provided an interval estimate. Non-use values are the major contributors to the benefit (96–517 millions of Swedish kronor (MSEK)) of increasing the stock of wild salmon. Sensitivity analysis suggests that the opportunity costs in terms of lost electricity are typically higher than the estimated benefits.     

Proximity economics and environment: assessment and prospects

The use of the theoretical tools provided by proximity economics to address environmental questions, and the emergence of analyses revitalising the role of the spatial dimension in environmental problems, date from the late 1990s. This paper first aims to provide a review of the research conducted in this field and second to suggest some future research directions concerning the respective roles of geographical proximity and organised proximity in the production and management of environmental problems. First, it deals with the topic of ‘geographical proximity and land-use conflicts’, a topic that is currently the most researched in this field. This is followed by a discussion of the role of organised proximity in the regulation of environmental problems. The paper then explores the relation between the uncertainty associated with environmental issues and relations of organised proximity. Next it outlines a few possible research directions, focusing more particularly on the roles of geographical proximity as a mode of regulation of environmental problems, and on the possible role of organised proximity in their production. The concluding section draws an overview of the departures and extensions that have resulted from taking into account environmental issues in the paradigm of proximity economics.     

Sensitivity and Uncertainty of Ground‐Water Discharge Estimates for Semiarid Shrublands1

Abstract: We proposed a step‐by‐step approach to quantify the sensitivity of ground‐water discharge by evapotranspiration (ET) to three categories of independent input variables. To illustrate the approach, we adopt a basic ground‐water discharge estimation model, in which the volume of ground water lost to ET was computed as the product of the ground‐water discharge rate and the associated area. The ground‐water discharge rate was assumed to equal the ET rate minus local precipitation. The objective of this study is to outline a step‐by‐step procedure to quantify the contributions from individual independent variable uncertainties to the uncertainty of total ground‐water discharge estimates; the independent variables include ET rates of individual ET units, areas associated with the ET units, and precipitation in each subbasin. The specific goal is to guide future characterization efforts by better targeting data collection for those variables most responsible for uncertainty in ground‐water discharge estimates. The influential independent variables to be included in the sensitivity analysis are first selected based on the physical characteristics and model structure. Both regression coefficients and standardized regression coefficients for the selected independent variables are calculated using the results from sampling‐based Monte Carlo simulations. Results illustrate that, while as many as 630 independent variables potentially contribute to the calculation of the total annual ground‐water discharge for the case study area, a selection of seven independent variables could be used to develop an accurate regression model, accounting for more than 96% of the total variance in ground‐water discharge. Results indicate that the variability of ET rate for moderately dense desert shrubland contributes to about 75% of the variance in the total ground‐water discharge estimates. These results point to a need to better quantify ET rates for moderately dense shrubland to reduce overall uncertainty in estimates of ground‐water discharge. While the approach proposed here uses a basic ground‐water discharge model taken from an earlier study, the procedure of quantifying uncertainty and sensitivity can be generalized to handle other types of environmental models involving large numbers of independent variables.