A process integration approach to industrial water conservation: a case study for a Chinese steel plant

A systematic approach to optimizing water network has traditionally been utilized to exam and plan water conservation in industrial processes. In the present case study, water-pinch technology was used to analyze and optimize the water network of a steel plant near China's Zhangjiakou city. A system design was developed and a limiting constraint (Cl(-) concentration) was identified based on investigations of water quality then the minimum freshwater and wastewater targets were determined without considering water losses. The analysis was then extended by calculating the additional input of freshwater required to balance the actual water losses. A nearest-neighbor algorithm (NNA) was used to distribute the freshwater and recycled water among each of the plant's operations. The results showed that with some reconstruction of the water network, the flow rates of freshwater and wastewater could be decreased by 57.5% and 81.9%, respectively.     

高负荷人工土层地下渗滤系统处理生活污水中试工程的研究

对传统的地下渗滤系统进行改进,采用多层过渡结构的人工土层来增大对颗粒有机物的接触氧化表面积,同时设置曝气装置保证好氧过程的氧气供应,可以大大提高污水地下处理系统的水力负荷.以中国南方典型的红壤土、河沙和砾石为填充材料,处理广州地化所小区的生活污水,水力负荷达40 cm/d,远大于类似系统.试验结果表明,改进后的系统能创造良好的好氧/厌氧环境,对污染物去除效果良好,COD、BOD5、TN、NH 4-N、TP和SS去除率分别达到了76.7%～89.1%、83.3%～92.5%、50.3%～66.1%、65.2%～79.6%、75.4%～90.1%和77.0%～91.3%,出水主要污染物达到了《污水综合排放标准》(GB 8978-1996)一级排放标准或二级排放标准.     

张北6.2级地震邯郸地区前兆异常特征研究

1998年1月10日张北发生MS6.2级地震。在震前一、二年,远在400km外的邯郸地区的多种前兆手段准同步地出现了中期异常变化,这些异常的变化幅度显著,在时间上与张北地震有较好的对应关系,信度较高。分析邯郸地区的前兆异常与张北地震的关系,有利于该区强震监测预报水平的提高,也可为地震前兆特征和机理的深入研究提供实际依据。     

电子受体类型对聚磷污泥胞外聚合物的影响研究

采用3种电子受体(硝氮、亚硝氮、氧),在SBR反应器中分别驯化了具有稳定除磷能力的聚磷污泥。对比研究了不同聚磷污泥胞外聚合物(EPS)的组分与含量,结合三维荧光光谱对EPS中有机物质进行分析。研究表明,以硝氮、亚硝氮为电子受体的聚磷污泥EPS平均浓度较为接近,分别为115.6mg/gVSS、133.5 mg/gVSS,由厌氧段至缺氧段,EPS总浓度有所下降。以氧为电子受体聚磷污泥的EPS平均浓度相对较高,为194.5 mg/gVSS,由厌氧段至好氧段,EPS总浓度略有升高。不同聚磷污泥的EPS组分均以胞外蛋白为主,占EPS总量的53%~65%,多糖与核酸占EPS总量28%~34%、5%~7%。三维荧光光谱显示3种聚磷污泥EPS均具有芳香结构蛋白质、可溶性代谢物的荧光峰,另外,以硝氮为电子受体的聚磷污泥还具有明显的腐殖酸类物质的荧光峰。研究结果表明电子受体对聚磷污泥EPS的组分、浓度、有机质类别有一定的影响。     

大型河流大面积死鱼应急监测案例分析研究

以湖南湘江干流大面积死鱼突发环境事件为例,详细阐述了该事件开展应急监测的全过程,并就河流大面积死鱼突发环境事件应急监测方案、监测指标确定、原因分析等内容进行探讨。溶解氧低是死鱼的主要原因,而大体量低溶解氧污染团的形成与持续高温干旱天气、暴雨以及特殊的开闸放水方式有关。所分析的案例为死鱼事件应急监测工作提供借鉴和参考。     

浅谈钢制氮封储罐泄漏防治措施

从消除储罐泄漏点、加强日常管理方面阐述了如何做好氮封储罐泄漏治理与预防,并对加强储罐泄漏防治提出建议。     

辉县市城区环境空气质量现状及污染防治对策

对辉县市城区2006—2011年间环境空气质量监测数据进行了评价,并对城区污染物浓度时空变化进行了分析。结果表明,辉县市城区大气污染主要表现为可吸入颗粒物污染严重,主要是能源结构不合理、锅炉废气污染严重、城区道路保洁方式落后等原因造成的,由此提出了合理规划城市布局、减少结构性污染等对策。     

基于LSTM-GCN的PM2.5浓度预测模型

应用机器学习算法开展空气质量预测已成为当前研究热点之一,空气质量监测数据具有显著的时空特征,即具有时间维度时序特征和空间维度传输演化特征。面向空气质量监测数据,联合LSTM提取的时间特征和GCN提取的空间特征,提出预测PM_2.5浓度的LSTM-GCN组合模型。以北京市35个空气质量监测站2018—2020年监测数据进行仿真实验,并将LSTM-GCN模型与LSTM模型、GCN模型以及时空地理加权回归模型(GTWR)进行对比,结果显示:LSTM-GCN模型相较于LSTM模型均方根误差(RMSE)、平均绝对误差(MAE)分别降低了11.68%、7.34%;相较于GCN模型RMSE、MAE分别降低了40.22%、36.37%;相较于GTWR模型RMSE、MAE分别降低了17.52%、23.69%,表明所提出LSTM-GCN模型在准确率上有所提升。用LSTM-GCN模型预测2021年1—7月PM_2.5浓度,结果显示预测效果较好。     

In vitro biotransformation of PBDEs by root crude enzyme extracts: Potential role of nitrate reductase (NaR) and glutathione S-transferase (GST) in their debromination

In order to investigate the enzyme transformation of PBDEs and to track the key enzymes involved in PBDE degradation in plants, in vivo exposure of plants of ryegrass, pumpkin and maize and in vitro exposure of their root crude enzyme extracts to PBDEs were conducted. Degradation of PBDEs in the root crude enzyme solutions fit well with the first order kinetics (R² = 0.52–0.97, P < 0.05), and higher PBDEs degraded faster than the lower ones. PBDEs could be transformed to lower brominated PBDEs and hydroxylated-PBDEs by the root crude enzyme extracts with debromination as the main pathway which contributed over 90% of PBDE depletion. In vitro and in vivo exposure to PBDEs produced similar responses in root enzyme activities of which the nitroreductase (NaR) and glutathione-transferase (GST) activities decreased significantly, while the peroxidase, catalase and cytochrome P-450 activities had no significant changes. Furthermore, higher enzyme concentrations of NaR and GST led to higher PBDE debromination rates, and the time-dependent activities of NaR and GST in the root crude enzyme extracts were similar to the trends of PBDE depletion. All these results suggest that NaR and GST were the key enzymes responsible for PBDE degradation. This conclusion was further confirmed by the in vitro debromination of PBDEs with the commercial pure NaR and GST.     

污泥好氧颗粒化过程中氨氧化菌群结构的演替与分析

为了揭示颗粒污泥形成过程中氨氧化菌(AOB)群落结构的演替规律,利用变性梯度凝胶电泳(DGGE)、克隆测序和实时定量聚合酶链式反应(real-time PCR)等分子生物学技术对AOB群落的演替进行了研究。DGGE结果表明,污泥接种驯化期,AOB群结构的变化较为剧烈,在外加选择压的作用下,种群多样性迅速下降;但随着污泥颗粒化的完成而趋于稳定。测序结果表明,接种污泥中的大多数亚硝化单胞菌属因可快速适应工艺的淘洗过程而被保留在系统内,而亚硝化螺菌属逐渐被淘汰。real-time PCR结果表明,在经历了运行初期的淘洗后,AOB含量随着污泥浓度的提高而逐渐增长;但污泥的氨氧化活性随着污泥浓度的增长而降低。