石家庄市大气污染物的季节性时空特征及潜在源区

为系统研究石家庄市季节性典型污染物的重污染传输特征,基于2018年12月~2019年11月46个环境监测站（PM_2.5、PM₁₀、O₃、NO₂、SO₂和CO）及17个气象站（温度、湿度和风速）的小时监测数据,利用插值（IDW）和相关方法,分析污染物的季节性时空特征;并结合GDAS数据,采用后向轨迹方法,研究污染物的季度传输格局和潜在源区.结果表明：①不同季节具有典型的污染物,季节性典型污染物和污染率依次为：春季（PM₁₀,48.91%）、夏季（O₃,81.97%）、秋季（PM₁₀和PM_2.5,47.54%和32.79%）和冬季（PM_2.5,74.44%）,其与气象条件变化有显著联系;②春季PM₁₀与风速呈负相关,呈西北高、东南低的空间格局,主要传输方向为南向（53.32%）,潜在源区（WPCWT_ij≥160 μg ·m^-3）为河北（冀）中南、河南（豫）中北及山西（晋）中部,且山东（鲁）西和陕西（陕）西北部的传输也会贡献（WPSCF_ij≥0.3）市域的PM₁₀浓度;③夏季O₃与温度呈正相关,与湿度呈负相关,传输通道方向为东南-南向（54.24%）,其潜在源区呈以石家庄市为中心,沧州和菏泽为两翼的新月形区域;④秋季和冬季PM_2.5与湿度呈正相关,冬季呈西低、东高态势分布,输送方向为：秋季（东北-东南,74.75%）,冬季（西北,55.47%）,主要污染源区（WPCWT_ij≥180 μg ·m^-3）集中在冀中南、豫北和晋中西部.     

CAS-BT复合反应器除磷处理的试验研究

在CAST反应器中引入自制悬浮填料,构成了CAS-BT复合反应器,采用人工配制废水,对其除磷效果进行了试验研究。当进水TP为25mg/L左右时,经历了近80d时间的试验运行,TP的去除率高达99%左右,显示出CAS-BT工艺具有很强的除磷能力。试验发现:原水中含磷量越高聚磷微生物数量越多,系统聚磷能力越强。     

生物除锰技术研究进展与应用

文章简要阐述了生物除锰的机理,重点介绍生物除锰的工艺流程和应用,包括以生物滤池为核心的单极/多级工艺、复合MF/UF中空纤维膜工艺以及用于处理矿山废水的人工湿地工艺;同时介绍了国内外生物除锰的研究动态,如:同时去除NH4+、Fe、Mn的研究、生物滤池运行模式的研究等。分析了目前存在的问题,并对今后生物除锰的研究方向提出了一点看法。     

Pre-feasibility study of stand-alone hybrid energy systems for applications in eco-houses

In light of rising cost of fossil fuels and fears of its depletion, coupled with the increase in energy demand and the rise in pollution levels, governments worldwide have had to look at alternative energy resources. Combining renewable energy generation like solar power with superior storage and conversion technology such as hydrogen storage, fuel cells and batteries offers a potential solution for a stand-alone power system. The aim of this paper was to assess the techno-economic feasibility of using a hybrid energy system with hydrogen fuel cell for application in an eco-house that will be built in Sultan Qaboos University, Muscat, Oman. Actual load data for a typical Omani house of a similar size as the eco-house was considered as the stand-alone load with an average energy consumption of 40 kW/day and 5 kW peak power demand. The National Renewable Energy Laboratory's Hybrid Optimisation Model for Electric Renewable software was used as a sizing and optimisation tool for the system. It was found that the total annual electrical energy production is 42,255 kW and the cost of energy for this hybrid system is 0.582 $/kW. During daylight time, when the solar radiation is high, the photovoltaics (PV) panels supplied most of the load requirements. Moreover, during the evening time the fuel cell mainly serves the house with the help of the batteries. The proposed system is capable of providing the required energy to the eco-house during the whole year using only the solar irradiance as the primary source.     

Feasibility analysis of renewable hybrid energy supply options for Masirah Island

In this paper, the assessment and modelling of alternative renewable energy systems for Masirah Island is considered. The hybrid system that is simulated comprises various combinations of wind turbines and/or photovoltaic (PV) supplemented with diesel generators and short-term battery storage. It was found from the analysis that the PV–wind–diesel hybrid system, with battery unit, has the lowest cost values as compared to solar-only or wind–diesel hybrid systems. Furthermore, the study illustrates that for a given hybrid system the presence of battery storage will reduce diesel consumption. The decrease in carbon emission, the percentage of fuel savings, the cost of energy production and the effect of wind and PV penetration are also addressed in this paper. The PV–wind–diesel hybrid option is techno-economically viable for the electrification of the Masirah Island.     

Efficient energy management strategies for hybrid electric vehicles using shuffled frog-leaping algorithm

This paper proposes two novel approaches for the problem of energy management in hybrid electric vehicles. Shuffled frog-leaping algorithm (SFLA) is a recently proposed population-based optimization algorithm. This paper first formulates energy management as an optimization problem and optimizes the problem using SFLA. Then the paper makes use of SFLA as a training algorithm to train artificial neural network (ANN) and this SFLA-trained ANN is used for energy management. Interestingly, the proposed approaches of this paper are found to be robust and more efficient than contemporary approaches.     

晋中盆地主要城市冬季PM2.5传输特征分析

对2017～2019年晋中盆地主要城市PM₁₀和PM_2.5逐时浓度资料进行了分析,给出了晋中市和太原市颗粒物浓度主要分布特征;此外利用PM_2.5逐时浓度资料,结合HYSPLIT后向轨迹模型,通过轨迹密度分析（TDA）、轨迹停留时间分析（RTA）和潜在源贡献因子分析（PSCF）,并对PM_2.5逐时浓度资料和对应时刻风向数据进行分析,探讨了晋中盆地主要城市冬季PM_2.5传输特征.结果表明,太原市颗粒物浓度整体水平高于晋中市,月、季变化特征类似,均呈现冬季高,夏季低的特征,最高值出现在1月.晋中市受静稳型天气形势引起的颗粒物污染较受沙尘型天气形势导致的颗粒物污染相较太原市更普遍一些;颗粒物的分布呈现出晋中市中间值较多,太原市高值偏多、低值偏少的特点,冬季为晋中盆地PM_2.5污染高发季节.晋中盆地主要城市冬季PM_2.5传输通道均可分为4类：第一类通道沿太行山横谷传输,第二类通道为偏东南方向传输通道,第一、二类均为近距离传输通道,气团会携带较多...     

微生物燃料电池-人工湿地耦合系统研究进展

微生物燃料电池-人工湿地耦合系统(CW-MFC)是一种新型污水处理工艺,该系统在增强污水处理效果的同时提高了产电性能,具有广阔的应用前景。综述了CW-MFC系统的研究现状,并将影响CW-MFC系统处理效果和产电效率的因素概括为组成要素、结构特点和运行参数3个方面。论文最后总结了系统当前存在的问题,并对未来的研究方向进行展望。     

自适应人工鱼群-BP神经网络算法在径流预测中的应用

为了提高水库和河流中长期径流预测精度,提出了弹性自适应人工鱼群算法(RAAFSA)。应用RAAFSA算法训练BP神经网络,实现BP神经网络参数优化,形成弹性自适应人工鱼群-BP神经网络混合算法(RAAFSA-BP),对石泉水库进行中长期径流预测。仿真计算表明,弹性自适应人工鱼群优化的BP神经网络算法收敛速度快于BP神经网络算法、人工鱼群-BP神经网络算法和RBF神经网络算法。该混合算法克服了BP神经网络和人工鱼群算法易陷于局部极值、搜索质量差和精度不高的缺点,改善了BP神经网络的泛化能力,输出稳定性好,预报精度显著提高,每次预测相对误差绝对值都小于6%,合格率达到100%。该算法成功地解决了石泉水库中长期径流预测精度不高的难题,可有效用于水库和河川中长期径流预测。     

连续弯道平面二维温排水的数值模拟

温排水问题为环境水力学的典型研究课题,研究温排水运动水域的流场温度场分布情况,无论是对温排水工程规划设计,防止热污染,还是对生态环境保护等都具有重要的科学意义。采用曲线坐标系下平面二维数学模型对连续弯道温排水问题进行了数值模拟,通过相同流速比下连续弯道中3种不同排放形式(左岸、右岸和中心排放)温度等值线图的比较,相同排放形式不同流速比时温度等值线图的比较,表明建立的数学模型能合理反映温排水运动规律,可以用于温排水运动的模拟。