Relationship between physicochemical properties and dewaterability of hydrothermal sludge derived from different source

Sewage sludge (SS) and deinking sludge (DS) were used to comparatively study the hydrothermal dewatering of sludge with different components. For a better overview, an insight into the relationship between physicochemical properties and dewaterability of hydrothermal sludge was provided. Results found that not all kinds of sludge were suitably conditioned by hydrothermal treatment (HT) in term of the elevation of dewaterability. Higher hydrothermal temperature tended to enhance the dewaterability of SS rather than DS, which was supported by the variation of their physicochemical properties (including water distribution, bonding energy, extracellular polymeric substance (EPS), particles size, acid functional groups and zeta potential in this study). In addition, the changes in surface morphology suggested that the reverse effect of HT on sludge dewaterability was mainly due to their dewatering behavior. For SS, the destruction of EPS structure leaded to the release of bound water, thereby strengthening sludge dewatering. Conversely, “Bridging effect” generated by lignocellulose in DS was beneficial for sludge dewatering; however, the increasing hydrothermal temperature degraded part of lignocellulose and weakened “bridging effect”, finally resulting in worse dewaterability of DS.     

增压站低频噪声识别与控制

目的解决天然气增压站低频噪声严重的问题,识别低频噪声源,并对低频噪声加以控制。方法结合压缩机组的实际工作情况及结构,首先利用频谱及1/3倍频程分析增压站机组的振动和噪声特性,初步确定压缩站机组低频噪声与机组振动的关系,进一步利用相干函数分析法分析振动与低频噪声的相干关系,判定低频噪声并不是由振动主要引起的。结果机组的主要噪声源为冷却器和压缩缸的进排气管,低频噪声污染主要是由于机组周期性吸排气时,管道和机组壁投射出的空气动力性噪声所造成的,而机组振源的剧烈振动不是产生低频噪声污染的主要原因。进排气管可产生高达80 d B(A)的全频带噪声,其中包含声压级可高达100 dB的次声,尤其以频率11 Hz和17 Hz为主,并且传播距离远,通透力强,对人员和环境危害大。结论首先依据进排气管为主要噪声源,其次结合压缩站实际情况,从压缩器机组整体的降噪设计及厂房治理的降噪设计两部分考虑提出相应的改进措施,从而为机组的降噪提供有效的方法。     

海洋环境低水位加速腐蚀研究进展

以海洋环境中一个非常重要的局部腐蚀形式——低水位加速腐蚀(ALWC)为对象,自其检测、发生原因、防护三个方面就国内外的文献报告进行综述分析。在检测方面,首先介绍了常用的宏观观察这一被动形式,并突出其特征,然后介绍了利用海水中可溶性无机氮含量作为ALWC发生概率预测这一主动形式,分析其优势与不足。在发生原因方面,在对将ALWC认定为一种典型的微生物腐蚀(MIC)形式的认知过程进行介绍之后,重点分析了微生物对ALWC作用机制不清晰的原因,并建议在后续研究中突出动态演变过程,结合高通量测序等分子生物学技术,确定在不同的阶段影响ALWC的关键微生物,且进一步在大气-海水体系下研究典型菌株及其协同作用的影响,提出微生物对ALWC的作用机制。在防护方面,根据新建和已建钢结构设施分别对传统和针对ALWC所具有的MIC与局部腐蚀特性的新型高效防护方法进行了介绍,并分析了防护方法的优缺点。     

Using improved neural network model to analyze RSP,NOx and NO2 levels in urban air in Mong Kok,Hong Kong

As the health impact of air pollutants existing in ambient addresses much attention in recent years, forecasting of airpollutant parameters becomes an important and popular topic inenvironmental science. Airborne pollution is a serious, and willbe a major problem in Hong Kong within the next few years. InHong Kong, Respirable Suspended Particulate (RSP) and NitrogenOxides NO_x and NO₂ are major air pollutants due to thedominant diesel fuel usage by public transportation and heavyvehicles. Hence, the investigation and prediction of the influence and the tendency of these pollutants are ofsignificance to public and the city image. The multi-layerperceptron (MLP) neural network is regarded as a reliable andcost-effective method to achieve such tasks. The works presentedhere involve developing an improved neural network model, whichcombines the principal component analysis (PCA) technique and theradial basis function (RBF) network, and forecasting thepollutant levels and tendencies based in the recorded data. Inthe study, the PCA is firstly used to reduce and orthogonalizethe original input variables (data), these treated variables arethen used as new input vectors in RBF neural network modelestablished for forecasting the pollutant tendencies. Comparingwith the general neural network models, the proposed modelpossesses simpler network architecture, faster training speed,and more satisfactory predicting performance. This improvedmodel is evaluated by using hourly time series of RSP, NO_x and NO₂ concentrations collected at Mong Kok Roadside Gaseous Monitory Station in Hong Kong during the year 2000. By comparing the predicted RSP, NO_x and NO₂ concentrationswith the actual data of these pollutants recorded at the monitorystation, the effectiveness of the proposed model has been proven.Therefore, in authors' opinion, the model presented in the paper is a potential tool in forecasting air quality parameters and hasadvantages over the traditional neural network methods.     

Application of the benthic index of biotic integrity to environmental monitoring in Chesapeake Bay

The Chesapeake Bay benthic index of biotic integrity (B-IBI) was developed to assess benthic community health and environmental quality in Chesapeake Bay. The B-IBI provides Chesapeake Bay monitoring programs with a uniform tool with which to characterize bay-wide benthic community condition and assess the health of the Bay. A probability-based design permits unbiased annual estimates of areal degradation within the Chesapeake Bay and its tributaries with quantifiable precision. However, of greatest interest to managers is the identification of problem areas most in need of restoration. Here we apply the B-IBI to benthic data collected in the Bay since 1994 to assess benthic community degradation by Chesapeake Bay Program segment and water depth. We used a new B-IBI classification system that improves the reliability of the estimates of degradation. Estimates were produced for 67 Chesapeake Bay Program segments. Greatest degradation was found in areas that are known to experience hypoxia or show toxic contamination, such as the mesohaline portion of the Potomac River, the Patapsco River, and the Maryland mainstem. Logistic regression models revealed increased probability of degraded benthos with depth for the lower Potomac River, Patapsco River, Nanticoke River, lower York River, and the Maryland mainstem. Our assessment of degradation by segment and water depth provided greater resolution of relative condition than previously available, and helped define the extent of degradation in Chesapeake Bay.     

A study on the orbit of air temperature movement

In this paper, we describe an air temperature movement by mapping its time series to the polar coordinates: the value of the time series is plotted on the radial coordinate and the time on the angular coordinate. In this way, both the yearly and daily air temperature movements from five different locations of China are used to demonstrate that, in an intuitionistic view, air temperature movement is neither random nor chaotic, but has its own orbit. We then propose an elliptic orbit model for the air temperature movement. Our proposed model provides quite good results when it is applied to the evaluation of yearly air temperature movements in eight locations in various parts of the world, and the evaluation of daily air temperature movements in five locations in Hunan Province of China on December 17, 2005. Results show that our approach provides a concise and helpful model for air temperature analysis.     

MBBR处理低浓度污水的工程应用

用 2座体积 12 0m3的移动床生物膜反应器处理抚顺乙烯有限公司厂区的低浓度 (CODCr6 0～ 80mg L)生活污水 ,停留时间 2 4h ,出水通过高效纤维球过滤罐 ,CODCr降至 2 0mg L ,BOD5降至 5mg L ,SS降至 5mg L ,氨氮降至 1mg L ,达到了循环冷却水的回用标准。进水浓度过低 ,对MBBR挂膜不利 ,工程中采用外加营养物质的措施后 ,3d内反应器成功挂膜启动。     

ASM1中废水和污泥组分浓度的测定方法研究

对呼吸计量法应用于校准ASM1作了简明的阐述。在呼吸速率与模型组分关系的基础上,介绍了ASM1中废水与污泥各组分浓度的测定方法,并指出模型组分细化的意义。     

厌氧处理原理及其在低浓度有机废水处理中的应用现状

介绍了厌氧处理原理，并对厌氧处理低浓度废水的最新进展进行了较全面的综速，高效厌氧反应器及组合工艺为这一发展提供了可能。高效厌氧反应器中以膨胀颗粒污泥床（ECSB）反应器为首选。其结构及远行特性决定了它在处理低浓度虚水方面具有潜在的优势，但中国EC,SB的应用仅处于研究阶段，尚未有生产规模的EGSB；组合工艺对低浓度废水中污染物去除率极高，出水中COD、NH3-N、TP和SS浓度均可达到较高的排放标准，对生活污水、稀释后的工业有机废水等低浓度有机废水处理具有广阔的前景。     

克山病病区低硒粮喂养的豚鼠红细胞内Na~+浓度变化的研究

豚鼠分别喂以克山病病区粮(低硒)和非病区粮(硒含量正常),借助合成的D_Y(PPP)_2~(-7)位移试剂用XL-400NMR谱仪直接测试完整红细胞内Na~+的NMR谱,并定量计算细胞内Na~+浓度,发现低硒的病区粮饲养的豚鼠红细胞内Na~+浓度显著高于正常组;病区粮喂养的豚鼠红细胞在老化条件下细胞溶血比非病区严重。