糖蜜酒精厂环境保护验收清洁生产评价研究

糖蜜是糖厂榨糖后的副产品,含有可发酵性的糖45％∽52％,是直接用于发酵生产酒精的较好的原料.文章以广西某糖蜜酒精厂为例,在调查了解酒精厂生产工艺与装备、资源能源利用指标、污染物产生指标、废物回收利用率和环境管理要求等五个方面的基础上,认真细致分析环境保护竣工验收监测数据及生产报表数据,按照（HJ 581-2010）《清洁生产标准酒精制造业》（国家环境保护部）的要求对酒精厂清洁生产水平进行评价,并根据评价结果提出进一步提高清洁生产水平的建议和要求.     

用多道滤波接收函数法反演佛子岭台基的S波速度结构

以佛子岭地震台数字化仪器记录到的远震数据为基础,应用多道反褶积方法分组提取邻近地震事件的接收函数,并选择合适的地层厚度将台站下方介质结构简化成关于S波速度的水平分层模型。以此对Ps转换波的接收函数进行共转换点偏移叠加,反演计算得到每个水平层中的S波速度值,并给出了佛子岭台台基下方一维S波速度结构图。     

我国防灾减灾领域学科发展及其专业设置——从学位管理制度谈起

我国高校在防灾减灾类人才培养中存在一些现实困境,如:灾害学的学科地位较低、防灾减灾类学科及专业设置不灵活、学校管理制度及其相关条例的约束等。从我国学位管理制度谈起,通过比较分析国内外高校专业设置与交叉学科发展情况,探讨我国防灾减灾领域学科发展及专业设置对防灾减灾人才培养造成的影响,并提出三点建议:一是加大我国学位管理制度的改革,确保落实高校办学自主权;二是对灾害科学的研究走向系统化、社会化,发展国内高等学校防灾减灾类专业本科教育;三是防灾减灾类专业课程设置从横向和纵向上都要体现综合和交叉的学科属性。     

电化学还原-氧化工艺降解4-氯酚的毒性研究

采用紫外光还原法制备了Pd-Fe/石墨烯催化阴极,并以Ti/IrO_2/RuO_2为阳极,构成三电极体系(双阴极)和两电极体系(单阴极)的电化学还原-氧化降解工艺,分别对4-氯酚进行降解.采用离子色谱、高效液相色谱、TOC仪对4-氯酚降解过程中中间产物及其浓度进行测定.根据公式计算降解过程中理论计算毒性值,应用发光细菌法测定降解过程中的实际毒性值,对理论计算毒性值与实际毒性值进行比较,分析不同体系下降解过程中毒性的变化规律.结果表明,两种工艺体系在最佳降解条件下,阴极室毒性均呈下降的趋势,由于降解过程中在阳极室生成高毒性的苯醌,阳极室毒性均先升高后降低.通过相关性分析得到,两种体系理论计算毒性与实际毒性在P=0.01水平下,相关性系数均为1,显著相关,表明降解过程中实际毒性的测定结果真实可靠.降解至120 min时,三电极体系毒性小于两电极体系,表明三电极体系优于两电极体系.据此提出实际毒性测定方法在电化学还原-氧化工艺降解氯酚类有机废水毒性测试的工业应用中有着广泛的前景.     

骆马湖表层水体中32种PPCPs类物质的污染水平、分布特征及风险评估

为评价骆马湖水体中药品和个人护理品(PPCPs)的污染水平、空间分布特征及生态风险,利用高效液相色谱-串联质谱测定了骆马湖水体中22个采样点的32种PPCPs.结果表明,骆马湖表层水体中共检出了23种PPCPs,总浓度范围为892~1 536 ng·L~(-1),其中浓度最高的为诺氟沙星(256~707 ng·L~(-1)),其次是酮洛芬(85~438 ng·L~(-1))、安赛蜜(101~290 ng·L~(-1))及萘普生(1.9~112 ng·L~(-1)).不同采样位点的PPCPs浓度存在一定的空间差异,呈现湖东北部地区较高,西南部地区较低的趋势.房亭河入湖口处PPCPs浓度较高,嶂山闸出湖口处浓度较低.对13种药物类PPCPs生态风险评价结果表明,诺氟沙星RQs为0.26~0.72,对于骆马湖水生生态系统表现为中风险,吉非罗齐在大部分采样点RQs0.01,表现为低风险,其余的化合物RQs0.01未表现出生态环境风险.采用简单叠加模型计算PPCPs的联合毒性风险熵范围为0.29~0.75,整体上看,骆马湖PPCPs对于水生生物表现出中风险.对6种PPCPs的人体健康风险结果表明,RQs均小于1,表明骆马湖PPCPs对人体健康无直接风险.     

太湖西岸河网沉积物中重金属污染特征及风险评价

为研究太湖西岸河网沉积物中重金属污染特征及风险,调查了丰-平-枯3个水期19个点位8种重金属的含量,结果表明,沉积物中重金属浓度顺序为ZnCrCuPbNiAsCdHg,其中Cd、Cu、Zn、Pb、Ni明显高于其环境背景值,除As外,其余7种重金属平水期含量高于丰水和枯水期.地累积指数(I_(geo))和潜在生态指数(RI)评价表明,研究区沉积物中Cd属于中等污染程度和中等生态风险,Cd对RI贡献率为35%,重金属生物毒性不利影响评价值(mP EC-Q)范围为0.12~0.76,平均值0.30,表明研究区发生生物毒性不利影响的可能性为15%~29%,工业与生活混合区点位S2从污染程度、生态风险、生物毒性不利影响和主成分评价的污染及风险均最大,表现出多种重金属的协同污染,这与其周围污染排放特征一致,为该区域河流沉积物中重金属污染控制提供依据.     

Predicted concentrations of biocides from antifouling paints in Visakhapatnam Harbour

The concentrations of biocides leached from antifouling coatings are monitored in most of the developed countries. However, in India and many other developing countries, there is very little data available on the concentrations of biocides in ports and harbours. The first step was to obtain the order of magnitude levels of concentrations of biocides in the marine environment of the Visakhapatnam Harbour, and the MAM-PEC (Marine Antifoulant Model to Predict Environmental Concentrations) model was used to predict these values. The Visakhapatnam Port lies on the eastern coast of India, roughly halfway between Chennai and Kolkata, and is the largest port in India. This port is a natural harbour; the long and narrow outlet to the open sea makes it a 'poorly flushed' harbour. Predicted concentrations of tributyltin (TBT), copper, dichlofluanid, seanine, irgarol, diuron, tolylfluanid, and zinc pyrithione were computed. The results of the computations indicate that the levels of these biocides are comparable to those in many western countries. This gives credence to the fact that persistence of TBT and some other biocides is a global problem that cannot be ignored.     

利用甘蔗渣制备微生物絮凝剂的预处理方法研究

通过对甘蔗渣进行不同的预处理,确定了提高纤维素酶糖化率和酱油曲霉发酵液絮凝率的方法.利用正交实验对固液比、颗粒粒径、溶剂浓度和预处理时间及其交互作用进行考察,确定较优的工艺方案.结果表明,在相同条件下,碱处理能够有效提高纤维素酶的糖化率,处理后甘蔗渣的酶解液中还原性糖浓度和酱油曲霉发酵液的絮凝率分别为3.46 g/L和...     

组合工艺处理填埋场渗滤液中溶解性有机污染物的去除特性

以采用"SBR+混凝+Fenton氧化+BAF"组合工艺处理的晚期垃圾渗滤液各级出水为研究对象,考察了HA、FA和HyI等溶解性有机物(DOM s)在各个工艺处理过程中的变化。结果表明,组合工艺COD和NH3-N去除率分别达到98.4%和99.3%;对DOM s的去除率为98.3%,其中胡敏酸(HA)、富里酸(FA)和亲水性有机物(HyI)的去除率分别为98.3%、99.5%和95.7%。各处理工艺中SBR和混凝工艺对HA和HyI的去除贡献较大,Fenton氧化工艺对FA去除率较高。Fenton氧化和BAF联用,可以有效去除难降解的溶解性有机污染物,使出水达到《生活垃圾填埋污染控制标准》(GB16889-2008)排放标准。     

Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.