化工区风险源的灰色聚类分级方法的研究

建设化工区需对企业进行合理规划布局，且化工区风险预警和防范具有优先性问题，需要对企业进行有效的风险分级。现有研究中的区域风险源分级方法上存在较大的不足。根据化工区风险源的特点，基于环境风险评价和灰色系统的基本理论，探索性的将灰色聚类分析方法应用于化工区风险源分级中。建立了一套适合化工园区的指标，对各个企业进行聚类分析，划分风险等级。以大连市某化工区为例，筛选8个指标，并选取了6个化工企业进行灰色聚类分析。将它们归为4个不同的风险级别。该方法不仅能较全面地反映化工区各个风险源的风险级别，对风险源的规划、布局和管理起到较好的决策支持作用，而且能指导预警和防范体系的建立，合理分配有限的资源。     

广西会仙岩溶湿地典型抗生素污染特征及生态风险评估

为确定会仙岩溶湿地不同介质中抗生素的污染特征及来源,利用液相色谱串联质谱联用仪分析了磺胺类(SAs)、氟喹诺酮类(FQs)和四环素类(TCs)三大类20种抗生素的含量.结果表明,研究区内水土介质监测的抗生素中共检出12种,检出浓度范围为n.d～106 ng·L~(-1),其中,甲氧苄氨嘧啶(TMP)的浓度最高.各环境介质中,以养殖用水和地表河水中检出的抗生素种类相对较多,分别为10种和8种,溶潭水和土壤中则检出的抗生素种类较少.因子分析结果显示,会仙湿地水体中的典型抗生素来源可归为两类,一类以受外源污染为主,从而导致地表河水中磺胺氯达嗪(SCP)、磺胺嘧啶(SDZ)、磺胺甲恶唑(SMZ)、诺氟沙星(NOR)、氧氟沙星(OFL)检出浓度较高,一类受湿地内养殖污染,从而造成水土介质中磺胺二甲基嘧啶(SMD)、甲氧苄氨嘧啶(TMP)和金霉素(CTC)检出.水体中检出的抗生素主要受溶解氧(DO)影响,此外,甲氧苄氨嘧啶(TMP)、恩诺沙星(ENR)和强力霉素(DOX)与NH~+_4存在一定的协同污染关系.风险评估结果表明,恩诺沙星(ENR)处于高风险的范围内,磺胺甲恶唑(SMZ)、诺氟沙星(NOR)和氧氟沙星(OFL)处于中等风险,中等风险的抗生素主要集中在地表河水中,高风险抗生素则在养殖用水中.整体来看,研究区水体中抗生素存在一定的风险.因此,针对这一现象应减少存在生态风险抗生素的使用,并对有潜在风险的抗生素加以防范.     

Proposal for an Indexical Method of Evaluating Risk of Hand Tool Operators’ Exposure to Mechanical Vibrations

The article presents proposals for an indexical evaluation of exposure of hand tool operators to vibrations. The presented indices have been developed on the basis of the results of laboratory tests. The examinations studied the effect of pressure force and grip force exerted by an operator on a hand tool as well as the amplitudes and frequencies of an exciting signal on vibrations transmitted in the hand-tool handle system.     

A Vibroacoustic Model of Selected Human Larynx Diseases

With the present development of digital registration and methods for processing speech it is possible to make effective objective acoustic diagnostics for medical purposes. These methods are useful as all pathologies and diseases of the human vocal tract influence the quality of a patient’s speech signal. Diagnostics of the voice organ can be defined as an unambiguous recognition of the current condition of a specific voice source. Such recognition is based on an evaluation of essential acoustic parameters of the speech signal. This requires creating a vibroacoustic model of selected deformations of Polish speech in relation to specific human larynx diseases. An analysis of speech and parameter mapping in 29-dimensional space is reviewed in this study. Speech parameters were extracted in time, frequency and cepstral (quefrency) domains resulting in diagrams that qualified symptoms and conditions of selected human larynx diseases. The paper presents graphically selected human larynx diseases.     

废液中CODcr的治理与利用

研究了废液中CODCr的治理与利用.废液处理工艺流程简单,实用,回收了其中的金属,并根据需要将它们制备成相应的化学试剂,用于研究.实验结果令人满意.     

SOIL EROSION AND SEDIMENT YIELD PREDICTION ACCURACY USING WEPP1

ABSTRACT: The objectives of this paper are to discuss expectations for the Water Erosion Prediction Project (WEPP) accuracy, to review published studies related to WEPP goodness of fit, and to evaluate these in the context of expectations for WEPP's goodness of fit. WEPP model erosion predictions have been compared in numerous studies to observed values for soil loss and sediment delivery from cropland plots, forest roads, irrigated lands and small watersheds. A number of different techniques for evaluating WEPP have been used, including one recently developed where the ability of WEPP to accurately predict soil erosion can be compared to the accuracy of replicated plots to predict soil erosion. In one study involving 1,594 years of data from runoff plots, WEPP performed similarly to the Universal Soil Loss Erosion (USLE) technology, indicating that WEPP has met the criteria of results being “at least as good with respect to observed data and known relationships as those from the USLE,” particularly when the USLE technology was developed using relationships derived from that data set, and using soil erodibility values measured on those plots using data sets from the same period of record. In many cases, WEPP performed as well as could be expected, based on comparisons with the variability in replicate data sets. One major finding has been that soil erodibility values calculated using the technology in WEPP for rainfall conditions may not be suitable for furrow irrigated conditions. WEPP was found to represent the major storms that account for high percentages of soil loss quite well—a single storm application that the USLE technology is unsuitable for—and WEPP has performed well for disturbed forests and forest roads. WEPP has been able to reflect the extremes of soil loss, being quite responsive to the wide differences in cropping, tillage, and other forms of management, one of the requirements for WEPP validation. WEPP was also found to perform well on a wide range of small watersheds, an area where USLE technology cannot be used.     

HYDROLOGIC PARAMETERIZATION OF WATERSHEDS FOR RUNOFF PREDICTION USING SWAT1

ABSTRACT: The use of continuous time, distributed parameter hydrologic models like SWAT (Soil and Water Assessment Tool) has opened several opportunities to improve watershed modeling accuracy. However, it has also placed a heavy burden on users with respect to the amount of work involved in parameterizing the watershed in general and in adequately representing the spatial variability of the watershed in particular. Recent developments in Geographical Information Systems (GIS) have alleviated some of the difficulties associated with managing spatial data. However, the user must still choose among various parameterization approaches that are available within the model. This paper describes the important parameterization issues involved when modeling watershed hydrology for runoff prediction using SWAT with emphasis on how to improve model performance without resorting to tedious and arbitrary parameter by parameter calibration. Synthetic and actual watersheds in Indiana and Mississippi were used to illustrate the sensitivity of runoff prediction to spatial variability, watershed decomposition, and spatial and temporal adjustment of curve numbers and return flow contribution. SWAT was also used to predict stream runoff from actual watersheds in Indiana that have extensive subsurface drainage. The results of this study provide useful information for improving SWAT performance in terms of stream runoff prediction in a manner that is particularly useful for modeling ungaged watersheds wherein observed data for calibration is not available.