SO2 modeling in İzmit Gulf, Turkey during the winter of 1997: 3 cases

In this study, SO₂ dispersion over İzmit Gulf is simulated by California Puff (CALPUFF) model for three air pollution cases, which occurred on January 28, February 12, and February 26, 1997. These days are generally characterized by dominant high-pressure systems – pressure values reaching 1032 mb, low wind speeds and sometimes calm conditions, and low temperatures with a minimum of 0°C. Hourly simulations during those critical cases were carried out and results revealed very high concentrations of SO₂ transported to the downwind regions of Tüpraş and Gebze, and values sometimes exceeded 1,000 μg/m³. Nighttime and morning simulations associated with inversion produced considerably higher values of SO₂ than the afternoon simulations associated with breeze. Model verification was conducted by comparing the measured daily average values of eight stations with the model predicted values at the same receptor points. Results showed that the model well predicted the values at station Gebze in all three cases. The model sometimes underestimated and sometimes overestimated the concentrations at other receptor stations.     

Evaluating response surface designs for uncertainty analysis and prescriptive applications of a large-scale water quality model

Environmental models are often too large and cumbersome for effective use in regulatory decision making or in the characterization of uncertainty. This paper describes and compares four response surfaces that could complement a large-scale water quality model, the U.S. National Water Pollution Control Assessment Model (NWPCAM), in simulation and regulatory decision support applications. Results show that a physically based reduced-form model that exploits the mathematical structure of the underlying water quality model is a better predictor of policy-relevant outputs than the polynomial expansions that are frequently used in response surface studies.     

基于Elman神经网络的流体管道泄漏点检测定位

目的通过Elman神经网络预测对泄漏点进行过检测定位。方法基于流体压力波的负压波法及反馈型Elman神经网络方法,开展水力输运管道的泄漏定位研究。利用Flowmaster仿真软件中的水力输运模型建立长度为1100 m的一维管路系统,针对此系统开展不同管路状态参数下的数值仿真计算。结果通过小波变换技术实现了数据降噪与奇异点捕捉,完成了泄漏点位置的估算。同时,借助反馈型Elman神经网络,开展了不同泄漏工况下的网络训练和预测,利用经过训练的神经网络对所选取的5组泄漏点完成了定位预测,最大测试误差为1.83%。结论通过Elman神经网络预测得到的结果与实际泄漏位置进行对比,验证了反馈型神经网络方法在管路泄漏智能定位问题中的准确性与有效性。     

Stream Temperature Modeling Using Functional Regression Models

Stream temperature is one of the most important environmental variables in lotic habitats as it has important and direct impacts on the ecosystem. Given the continuous nature of this variable, the aim of this paper was to introduce functional regression for the air‐stream temperature relation, being capable to model an entire seasonal or annual curve of temperatures as one entity, rather than multiple daily or weekly values in classical models. Three types of functional models were explored in the study and compared to two classical models (Generalized Additive Model and Logistic Model) for six rivers from the United States The results show the functional models have the best performance for all the considered rivers. When comparing functional models between them, one variant of the historical functional model performs better than the two other models and is the most parsimonious. Functional regression leads to encouraging results to model the complete annual stream temperature curve as one entity compared to other classical approaches.     

Toward Explaining Nitrogen and Phosphorus Trends in Chesapeake Bay Tributaries, 1992–2012

Understanding trends in stream chemistry is critical to watershed management, and often complicated by multiple contaminant sources and landscape conditions changing over varying time scales. We adapted spatially referenced regression (SPARROW) to infer causes of recent nutrient trends in Chesapeake Bay tributaries by relating observed fluxes during 1992, 2002, and 2012 to contemporary inputs and watershed conditions. The annual flow‐normalized nitrogen flux to the bay from its watershed declined by 14% to 127,000 Mg (metric tons) between 1992 and 2012, due primarily (more than 80% of the decline) to reduced point sources. The remainder of the decline was due to reduced atmospheric deposition (13%) and urban nonpoint sources. Agricultural inputs, which contribute most nitrogen to the bay, changed little, although trends in the average nitrogen yield (flux per unit area) from cropland and pasture to streams in some settings suggest possible effects of evolving nutrient applications or other land management practices. Point sources of phosphorus to local streams declined by half between 1992 and 2012, while nonpoint inputs were relatively unchanged. Annual phosphorus delivery to the bay increased by 9% to 9,570 Mg between 1992 and 2012, however, due mainly to reduced retention in the Susquehanna River at Conowingo Reservoir.     

自动抢接止回阀装置液压系统设计及仿真分析

利用井口自动化装置进行石油钻井过程中溢流、井喷时的关井作业是目前井控作业的热点。为了有效减少工作人员操作时间,保证装置的可靠性。提出了1种自动抢接止回阀装置,并将装置的控制系统设计成全液压系统。基于AMEsim对设计的液压系统进行建模以及模拟仿真分析,得到了执行元件（3个液压马达和1个伸缩液压缸）的输出特性曲线,然后与理论计算、设计及选型的执行元件的参数进行对比。研究结果表明:设计的液压回路可以确保自动抢接止回阀装置的整个工作过程正常、稳定的进行。设计的自动抢接止回阀装置的性能基本满足使用要求,具有一定的实用价值。     

以SRB颗粒污泥为载体的硫酸盐型厌氧氨氧化的启动研究

采用复合式厌氧折流板反应器(HABR),研究先驯化硫酸盐还原菌(SRB)颗粒污泥、再以之为载体进行硫酸盐型厌氧氨氧化的启动,通过NH_4~+-N、SO_4~(2-)、COD等指标的变化探讨启动的效能。在7pH8.5、温度为(32±1)℃的条件下,采用低负荷启动方式,以CH_3COONa为有机碳源,通过逐步缩短HRT提高进水负荷来驯化培养硫酸盐还原菌颗粒污泥。结果表明,SO_4~(2-)与COD去除效果逐步达到稳定,最高去除率分别为86.2%和68.8%,S0全程积累并趋于稳定,经过60 d的驯化,SRB颗粒污泥平均粒径达到3 mm,硫酸盐还原反应启动成功。之后以驯化成熟的SRB颗粒污泥为载体,保持COD为50 mg/L,通过提高进水中NH+4-N和SO2-4负荷的方式启动硫酸盐型厌氧氨氧化。结果表明,NH_4~+-N和SO_4~(2-)去除效果逐步上升并稳定在50%以上,最高分别达到52.5%与53.7%。硫酸盐型厌氧氨氧化成功启动。     

Modeling the probability of freeway lane-changing collision occurrence considering intervehicle interaction

Objective: To better capture the relationships between lane-changing collisions and explanatory variables, a microscopic model is developed for freeway lane-changing collisions based on the interactions between lane-changing vehicles.

Methods: The model applies an intervehicle interaction structure to account for the occurrence mechanism of lane-changing collisions. The occurrence mechanism can be described as the failure of a vehicle driver of an adjacent lane in avoiding the lane-changing vehicle, which disturbs the smooth movement of the adjacent lane vehicle and requires the driver's brake action to avoid an angle collision. This model is examined using data collected from freeways in Washington State during 2010 to 2011 and validated using lane-changing collision data for the SR 520 freeway.

Results: The findings of this study show that generalized truck percentage has a significant decreasing effect on lane-changing collision risk, whereas average spacing and several roadway characteristics have significant increasing effects. The frequency of slight collisions during peak hours is higher than that during off-peak hours. Young female drivers are more likely to be involved in collisions during lane-changing than young male drivers, but the result for senior drivers is opposite, with older male drivers having a higher probability of lane-changing collisions than female drivers in the same age group.

Conclusion: The process of lane-changing collisions is a complicated maneuver. Truck percentage, average spacing, and good roadway characteristics, such as straight and level segment, in the target lane have a significant effect on the occurrence of lane-changing collisions. Age and gender are also 2 important factors contributing to the relationship between lane-changing collisions and explanatory variables.     

基于OPMSE的畜禽养殖行业排放限值仿真

通过对清河流域畜禽养殖行业产生污水的各指标(BOD5,COD,NH_3-N)浓度进行统计,得出了排放污水中各污染物指标的浓度值范围。通过OPMSE的仿真计算,得出了排放污水经过BAT处理后,污染物浓度正态分布均值在90%,95%,99%置信水平下的置信区间。在置信水平为99%时,畜禽养殖行业的COD置信区间为(42.00,48.19),BOD_5置信区间为(7.47,8.74),NH_3-N置信区间为(6.78,7.88)。同时,依据仿真计算结果还得出了处理后污染物浓度的极小值和极大值,畜禽养殖行业的最佳出水COD,BOD_5,NH3_-N指标质量浓度分别为22.0,2.1,3.09 mg/L,最差出水COD,BOD_5,NH_3-N指标质量浓度分别为84.4,14.2,13.29 mg/L。将仿真结果与现有排放标准对比,拟定畜禽养殖行业的COD,BOD_5,NH_3-N直接排放限值分别为50,9,8 mg/L。     

响应面法对PBGA封装元器件的有限元模型修正

目的利用特殊设计夹具来模仿PCB板的典型插入式固定方式,通过响应面法对安装有PBGA的菊花链PCB板有限元模型进行修正。方法有限元模型经过三次响应面修正,每一个修正阶段都计算仿真前三阶频率与相对应的模态试验结果相对比,建立两个目标函数,并利用多目标遗传算法来缩小仿真分析与模态试验结果。结果有限元模型得到了有效的改善。结论响应面法可以从实际出发来提升有限元模型准确度。