齐齐哈尔市建华区餐饮业噪声污染特点及防治对策

近年来城区餐饮业发展迅速,引发了一系列的环境问题。阐述了餐饮业噪声污染现状,产生污染的原因,并就如何解决这些问题提出了意见。     

新形势下污染源监督性监测工作存在的问题及应对措施

"十二五"以来,国家不断完善总量减排和污染源监测管理制度,出台了一系列新的文件和办法,强化了监测信息公开,严格了总量减排监测体系建设和运行管理考核。新形势下,对污染源监督性监测工作提出了新的工作要求,针对当前监督性监测工作中存在的一些问题,从标准核实、规范监测、信息公布、软件升级等方面提出了相应的措施和建议。     

锂电池正极材料Li2FeS2的充放电机理与热稳定性

随着移动电子设备的飞速发展,锂电池作为新型的能源载体也取得了巨大的进步。与嵌入式氧化物正极材料相比,Li2FeS2不仅具有理想的循环性能,而且其理论容量达到400mAh／g,约为嵌入式氧化物正极材料的2倍。因此,本文从晶体结构、电化学性能、充放电机制、充放电过程中的离子电导率变化以及热稳定性等方面对Li2FeS2正极材料进行了详细的阐述。     

影响实验室检测结果准确性的因素分析

环境监测实验室的检测结果直接为环境管理、污染治理等环保部门提供服务,因此检测数据的准确性十分重要。本文通过对影响环境监测实验室检测结果的因素人、机、料、法、环五个方面入手,详尽地研究这五个方面对检测结果的影响。     

A new pre-assessment model for failure-probability-based-planning by neural network

At present, the prediction of failure probability is based on the operation period for laid pipelines, and the method is complicated and time-consuming. If the failure probability can be predicted in the planning stage, the risk assessment system of gas pipeline will be greatly improved. In this paper, the pre-laying assessment model is established to minimize risk of leakage due to piping layout. Firstly, Fault Tree Analysis (FTA) modeling is carried out for urban natural gas pipeline network. According to expert evaluation, 84 failure factors, which can be determined in the planning stage, are selected as the input variables of the training network. Then the FTA model is used to calculate the theoretical failure probability value, and the failure probability prediction model is determined through repeated trial calculation based on BP (Back Propagation Neural Network) and RBF (Radial Basis Function), for obtaining the optimal network parameter combination. Finally, two prediction models are used to calculate the same example. By comparing our pre-assessment model with the theoretical prediction consequences of the fault tree, the results show that the error of RBF prediction model can be close to 3%, which proves the validity and correctness of the method.     

分光光度法测定总氮的准确度研究

采用碱性过硫酸钾消解紫外分光光度法测定水中总氮时常出现空白值偏高、样品平行性较差、实验准确度不高等现象.为此,从总氮的测定过程出发,探讨了影响总氮测定的主要因素,有利于提高水质总氮测定的准确度.结果表明,分析试剂纯度、实验用水水质、器皿的清洗程度等对总氮的测定均有一定影响,适当延长消解时间与提高消解温度也有利于降低总氮的空白值.因此可通过优化各实验条件来提高实验的准确性,以保证实验室的设备仪器、检测人员和环境等条件满足分析要求.     

Prediction of effluent concentration in a wastewater treatment plant using machine learning models

Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, the load of food waste to the conventional waste treatment process might lead to the high concentration of total nitrogen(T-N) impact on the effluent water quality. The objective of this study is to establish two machine learning models—artificial neural networks(ANNs) and support vector machines(SVMs), in order to predict 1-day interval T-N concentration of effluent from a wastewater treatment plant in Ulsan, Korea. Daily water quality data and meteorological data were used and the performance of both models was evaluated in terms of the coefficient of determination(R~2), Nash–Sutcliff efficiency(NSE), relative efficiency criteria(d rel). Additionally, Latin-Hypercube one-factor-at-a-time(LH-OAT) and a pattern search algorithm were applied to sensitivity analysis and model parameter optimization, respectively. Results showed that both models could be effectively applied to the 1-day interval prediction of T-N concentration of effluent. SVM model showed a higher prediction accuracy in the training stage and similar result in the validation stage.However, the sensitivity analysis demonstrated that the ANN model was a superior model for 1-day interval T-N concentration prediction in terms of the cause-and-effect relationship between T-N concentration and modeling input values to integrated food waste and waste water treatment. This study suggested the efficient and robust nonlinear time-series modeling method for an early prediction of the water quality of integrated food waste and waste water treatment process.     

Excretion of manure-borne estrogens and androgens and their potential risk estimation in the Yangtze River Basin

The Yangtze River is the longest river in China, and the river basin spans one fifth of the area of the whole country. Based on statistical data, the excretion of manure-borne steroid hormones, including steroid estrogens(SEs) and steroid androgens(SAs), in 10 provinces of China within the region has been estimated. The potential environmental and ecological risk of manure-borne steroid estrogens to the surface water in this region was also assessed. The manure-borne SE and SA excretions in the 10 provinces and municipalities vary in the order: Sichuan Hunan Hubei Yunnan Jiangsu Anhui Jiangxi Chongqing Qinghai Shanghai. The highest increase of manure-borne SEs(1434.3 kg)and SAs(408.5 kg) was found in Hunan and Hubei provinces, respectively, and the total excretion in 2013 was 65% more than 15 years earlier in these two provinces. However, the emissions in Anhui and Shanghai decreased in this 15 year period of time. Swine urine,chicken feces, cattle urine, and laying hen feces were considered the dominant sources of manure-borne E1, βE2, αE2, and SAs, respectively. Although Jiangsu province did not have the largest excretion of manure-borne SEs, it had the highest level of predicted17β-estradiol equivalency(EEQs) value of 16.65 ng/L in surface water because of the limited surface water resources. According to the lowest observable effect level of 10 ng/L for17β-estradiol, the manure-borne SEs in Jiangsu province might potentially pose ecological risk to its wild aquatic organisms.     

白音华一号露天矿工程环境监理的实践与探讨

白音华一号露天矿工程施工建设过程中,将会造成大气污染、地表水污染、地下水疏干、噪声污染、排土场及工业场地占地等大量生态环境问题。因此,在工程施工之初开展环境监理工作,对加强环境保护“三同时”制度,落实污染物防治及生态保护措施具有十分重要的意义。     

长江入海口北支沿海滩涂养殖区底泥重金属污染特征及趋势评价

对长江入海口北支沿海滩涂养殖区底泥重金属污染的总体水平进行调查,结果表明,滩涂养殖区底泥重金属含量满足海洋沉积物质量一类标准要求,污染程度属于安全Ⅰ级水平,重金属潜在生态危害属轻微级别,6种重金属潜在生态危害由大到小排序依次为Cd﹥Hg﹥Cu﹥Cr﹥Pb﹥As,2005年～2011年,底泥重金属污染程度均处于安全的Ⅰ级水平。