混凝沉淀-高级氧化联合处理垃圾转运站污水的实验研究

城市生活垃圾转运站污水具有水质水量变化大、有机污染负荷高、具有强烈恶臭、色度高等显著特点,已成为城市重要的点源污染。为有效消减转运站污水有机负荷,探讨了混凝沉淀-高级氧化联合使用的物化处理方法,考察了联合处理过程中双氧水/亚铁、亚铁投加量、酸化后pH值、混凝剂投加量、中和后pH值等因素对处理效果的影响。小试研究结果表明,在混凝剂投加400 mg/L,亚铁0.06 mol/L,酸化后pH为3,双氧水/亚铁=4∶1,中和后pH为7.5的条件下,污水COD消减量达到60%以上,色度去除率98%,恶臭基本消除。     

Comparison among model estimates of critical loads of acidic deposition using different sources and scales of input data

The critical load (CL) of acidic atmospheric deposition represents the load of acidity deposited from the atmosphere to the earth’s surface at which harmful acidification effects on sensitive biological receptors are thought to occur. In this study, the CL for forest soils was estimated for 27 watersheds throughout the United States using a steady-state mass balance approach based on both national and site-specific data and using different approaches for estimating base cation weathering. Results suggested that the scale and source of input data can have large effects on the calculated CL and that the most important parameter in the steady-state model used to estimate CL is base cation weathering. These results suggest that the data and approach used to estimate weathering must be robust if the calculated CL is to be useful for its intended purpose.     

生物滴滤塔处理氯苯废气的工艺性能

将活性污泥培养及驯化后接种于生物滴滤塔中,挂膜启动后处理模拟氯苯废气（简称氯苯废气）,考察了生物滴滤塔在挂膜启动阶段及稳定运行阶段的性能。实验结果表明：接种41 d后生物滴滤塔成功挂膜,此时氯苯去除率稳定在90%以上;生物滴滤塔稳定运行阶段,随着进气中氯苯质量浓度由303.82 mg/m³逐渐增至1 489.05 mg/m³,氯苯去除率从85.1%降至70.1%。处理氯苯废气适宜的工艺条件为：空塔停留时间超过45 s,喷淋液流量31.8 mL/min,氯苯负荷23.97~128.01 g/（m³·h）。生物滴滤塔对喷淋液的酸性环境有较好的适应性,喷淋液pH的变化对氯苯去除率无显著影响。     

三峡库区香溪河流域非点源营养盐输出变化的试验研究

综合三峡库区香溪河流域土地利用结构和水系特点,在三大支流出口处设置常规水质监测断面,于干流响滩处设置水文控制断面,通过断面水质水量监测,利用数字滤波法解析径流多源和污染多源,研究上游来流点源和非点源营养盐输出负荷变化。结果表明：受农业非点源污染影响,TN是高岚河（0788 mg/L）＞古夫河（0712 mg/L）＞南阳河（0567 mg/L）;南阳河受磷矿企业点源输入的影响,TP是南阳河（0323 mg/L）＞高岚河（0074 mg/L）＞古夫河（0053 mg/L）;断面流量与降雨量的相关系数〖WTBX〗R〖WTBZ〗2=0720 2;TN和TP非点源年负荷输出分别占总量的61%和40%的, 20100607次降雨径流监测分析发现此次降雨汇流期间营养盐TN和TP输出的非点源贡献率分别达752%和709%;营养盐负荷主要受径流量影响,TN和TP输出负荷与流量的相关系数分别是0963 6和0978 9     

近49年中国夏季制冷度日数的变化

利用全国531个气象站1960~2008年逐日平均气温资料,分析了近49 a来我国夏季制冷度日数的变化趋势,并以浙江省为例分析了制冷度日数与夏季空调降温电力负荷的关系。主要结论如下：我国日平均温度等于或高于26℃的日数（1971~2000年平均）大于10 d,夏季有制冷需求的站点主要分布在新疆、四川盆地和太行山 巫山 雪峰山一线以东地区,以及云南干热河谷地区。1960~2008年我国黄河以北地区夏季有制冷需求的站点6~9月平均气温从20世纪90年代中期开始呈现出较明显的上升趋势,使得制冷日数和度日数都相应增加;黄河以南、南岭以北地区近49 a来6~9月平均气温线性趋势不明显,制冷度日数变化不大;南岭以南地区6~9月气温持续上升,夏季制冷度日数的增加最为显著。以浙江省为例的分析显示,制冷度日数与夏季空调降温电力负荷有很好的线性相关关系,可以用来预测降温耗电量。
     

烟囱与吸收塔合一结构分析

通过手工计算和ANSYS有限元软件计算两种方法对安徽新源热电有限公司烟囱与吸收塔合一结构进行结构计算。分析了结构在风载荷、地震载荷作用下的应力和变形,比较了手工计算和有限元电算结果,可为类似工程的计算提供理论参考。     

Automated energy management in distributed electricity systems: An EEPOS approach

The increasing capacity of distributed electricity generation brings new challenges in maintaining a high security and quality of electricity supply. New techniques are required for grid support and power balance. The highest potential for these techniques is to be found on the part of the electricity distribution grid.

This article addresses this potential and presents the EEPOS project’s approach to the automated management of flexible electrical loads in neighborhoods. The management goals are (i) maximum utilization of distributed generation in the local grid, (ii) peak load shaving/congestion management, and (iii) reduction of electricity distribution losses. Contribution to the power balance is considered by applying two-tariff pricing for electricity.

The presented approach to energy management is tested in a hypothetical sensitivity analysis of a distribution feeder with 10 households and 10 photovoltaic (PV) plants with an average daily consumption of electricity of 4.54 kWh per household and a peak PV panel output of 0.38 kW per plant. Energy management shows efficient performance at relatively low capacities of flexible load. At a flexible load capacity of 2.5% (of the average daily electricity consumption), PV generation surplus is compensated by 34–100% depending on solar irradiance. Peak load is reduced by 30% on average. The article also presents the load shifting effect on electricity distribution losses and electricity costs for the grid user.     

An imprecise fuzzy risk approach for water quality management of a river system

Uncertainty plays an important role in water quality management problems. The major sources of uncertainty in a water quality management problem are the random nature of hydrologic variables and imprecision (fuzziness) associated with goals of the dischargers and pollution control agencies (PCA). Many Waste Load Allocation (WLA) problems are solved by considering these two sources of uncertainty. Apart from randomness and fuzziness, missing data in the time series of a hydrologic variable may result in additional uncertainty due to partial ignorance. These uncertainties render the input parameters as imprecise parameters in water quality decision making. In this paper an Imprecise Fuzzy Waste Load Allocation Model (IFWLAM) is developed for water quality management of a river system subject to uncertainty arising from partial ignorance. In a WLA problem, both randomness and imprecision can be addressed simultaneously by fuzzy risk of low water quality. A methodology is developed for the computation of imprecise fuzzy risk of low water quality, when the parameters are characterized by uncertainty due to partial ignorance. A Monte-Carlo simulation is performed to evaluate the imprecise fuzzy risk of low water quality by considering the input variables as imprecise. Fuzzy multiobjective optimization is used to formulate the multiobjective model. The model developed is based on a fuzzy multiobjective optimization problem with max–min as the operator. This usually does not result in a unique solution but gives multiple solutions. Two optimization models are developed to capture all the decision alternatives or multiple solutions. The objective of the two optimization models is to obtain a range of fractional removal levels for the dischargers, such that the resultant fuzzy risk will be within acceptable limits. Specification of a range for fractional removal levels enhances flexibility in decision making. The methodology is demonstrated with a case study of the Tunga–Bhadra river system in India.     

对水泥企业生产环境负荷之浅析

基于生命周期理论,采用CNI环境影响评价方法对我国水泥生产的环境负荷进行了定量分析。结果表明：水泥生产的环境影响主要体现在温室效应、不可再生能源消耗和不可再生资源消耗,其环境负荷分别占对应环境影响类型世界总负荷的2.76％,2.34％和1.39％,2006年我国水泥生产的环境负荷约占世界总负荷的1.28％,其中,立窑生产工艺、湿法回转窑生产工艺和新型干法生产工艺的环境负荷分别为0.84％,0.12％和0.32％。通过行业结构调整,用新型干法生产工艺取代其他落后的生产工艺,可使我国水泥生产的环境负荷降至世界总负荷的1％左右。     

Incorporating Uncertainty Into the Ranking of SPARROW Model Nutrient Yields From Mississippi/Atchafalaya River Basin Watersheds1

Abstract: Excessive loads of nutrients transported by tributary rivers have been linked to hypoxia in the Gulf of Mexico. Management efforts to reduce the hypoxic zone in the Gulf of Mexico and improve the water quality of rivers and streams could benefit from targeting nutrient reductions toward watersheds with the highest nutrient yields delivered to sensitive downstream waters. One challenge is that most conventional watershed modeling approaches (e.g., mechanistic models) used in these management decisions do not consider uncertainties in the predictions of nutrient yields and their downstream delivery. The increasing use of parameter estimation procedures to statistically estimate model coefficients, however, allows uncertainties in these predictions to be reliably estimated. Here, we use a robust bootstrapping procedure applied to the results of a previous application of the hybrid statistical/mechanistic watershed model SPARROW (Spatially Referenced Regression On Watershed attributes) to develop a statistically reliable method for identifying “high priority” areas for management, based on a probabilistic ranking of delivered nutrient yields from watersheds throughout a basin. The method is designed to be used by managers to prioritize watersheds where additional stream monitoring and evaluations of nutrient‐reduction strategies could be undertaken. Our ranking procedure incorporates information on the confidence intervals of model predictions and the corresponding watershed rankings of the delivered nutrient yields. From this quantified uncertainty, we estimate the probability that individual watersheds are among a collection of watersheds that have the highest delivered nutrient yields. We illustrate the application of the procedure to 818 eight‐digit Hydrologic Unit Code watersheds in the Mississippi/Atchafalaya River basin by identifying 150 watersheds having the highest delivered nutrient yields to the Gulf of Mexico. Highest delivered yields were from watersheds in the Central Mississippi, Ohio, and Lower Mississippi River basins. With 90% confidence, only a few watersheds can be reliably placed into the highest 150 category; however, many more watersheds can be removed from consideration as not belonging to the highest 150 category. Results from this ranking procedure provide robust information on watershed nutrient yields that can benefit management efforts to reduce nutrient loadings to downstream coastal waters, such as the Gulf of Mexico, or to local receiving streams and reservoirs.