主沟槽长度计算方法对尾矿库防洪安全的影响分析

针对尾矿库使用后期进行防洪安全分析时,涉及的一个重要的计算参数--主沟槽长度的不同取值方法,对尾矿库防洪安全的影响进行了详细分析,并推荐了一种相对准确的主沟槽长度计算方法.     

Optimization of the high-pressure, near-critical liquid-based microsortation of recyclable post-consumer plastics

High-pressure, near-critical liquids were used as float-sink separation media for the microsortation of polyolefin mixtures and PET/PVC mixtures. Near-critical carbon dioxide was used for the refinement of the polyolefins, and sulfur hexafluoride was used to separate post-consumer PVC from PET. Preliminary experiments indicated that there was no overlap in the density ranges of post-consumer HDPE, LDPE and PP containers. There was no overlap in the PET and PVC densities, with the exception of a single PVC packaging material with a density in the PET range. These initial results indicated that a float-sink separation was a viable means of microsortation. Separations of 91% LDPE (1/8′ beads)/9% PP (1/8′ chopped strands) resin mixtures and mixed post-consumer polyolefin flakes were then conducted in a laboratory-scale, 1-I batch apparatus. This apparatus not only permitted the observation of the separation, but also enabled the separated fractions to be removed from the high-pressure environment. The results indicated that LDPE purity of greater than 98.9% was obtained in 3 min or less if (a) the fluid density was 0.018 g/cm³ greater than the PP density and only 0.002 g/cm³ less than the LDPE density, thereby providing the greatest buoyancy force for the removal of the PP, (b) the fluid was recirculated upward through the bed of mixed plastics, facilitating the upward movement of the PP, and (c) the loading was kept at levels below 40% by volume. HDPE purity of 99% was also attained with clean, dry, post-consumer mixed plastic flakes. The loadings for these separations were very low, however, due to the difficulty in agitating the mixed bed of plastics using fluid recirculation. An economic analysis of these microsortation processes indicated that the value of the sorted plastics relative to the mixed feed must increase by approx. $0.08/lb for the CO₂-based separation and approx. $0.27/lb for the SF₆-based separation to justify the implementation of these high-pressure processes.     

吉林市大气中PM10和PAHs污染特征

研究了吉林市大气PM10的污染水平和其中优控PAHs总量的地区和季节分布特征。同时对PM10与PAHs的相关性进行了分析。研究表明，PAHs与大气PM10的地区分布大致成正相关，春季最重，夏季最轻：哈达湾最重，江南公园最轻。两者同时受到污染源排放和气象因素的影响。     

地下水水质评价的多元线性回归分析模型研究

运用回归分析理论和方法,建立了一个基于多元线性回归分析法的地下水水质评价模型,并将该模型用于遵义市海龙坝地下水水质评价.结果表明,建立的模型较符合本研究区的实际情况.     

基于主成分和粒子群优化支持向量机的水质评价模型

水质的评价是治理水污染必不可少的工作。为了准确、快速地对水质进行评价,利用主成分分析法从水质监测常见的多个物化指标提取出主成分,然后将主成分作为支持向量分类机的输入,利用历史数据进行水质评价训练并用粒子群算法优化参数,构造出水质评价模型,将从物化指标中得出的主成分代入此模型即可得到水质类别。最后,选取水质监测点实测数据进行试验,结果表明,模型的水质评价结果准确且稳定。     

大型通江湖泊有色可溶性有机物对不同水文情景的响应

鄱阳湖和洞庭湖作为我国面积最大的两个通江湖泊,其湖体水质变化对长江干流水质以及湖区周围居民用水安全至关重要.通过三维荧光-平行因子分析得到4个荧光组分,研究两个湖泊的有色可溶性有机物(CDOM)光谱组成在丰、平和枯这3种水文情景下的变化规律,试图揭示鄱阳湖和洞庭湖CDOM来源及组成对不同丰枯情景的响应机制.结果表明:不同水文情景对鄱阳湖CDOM水质参数影响更为显著,CDOM吸收系数a(254)和溶解性有机碳(DOC)浓度表现为丰水期>平水期>枯水期(t-test,P<0.01),CDOM光谱吸收斜率S_275-295表现为枯水期>平水期>丰水期(t-test,P<0.01),洞庭湖a(254)在不同水文情景下差异不显著,比紫外吸收系数SUVA₂₅₄最大值出现在平水期.平行因子分析法解析三维荧光光谱得到4个荧光组分,枯水期两湖CDOM类蛋白组分贡献率较大,平水期类蛋白组分及类腐殖酸组分贡献率大致相当,丰水期两个湖泊类腐殖酸贡献率占主要部分.在空间分布上,枯水期鄱阳湖4个组分的荧光强度在上游南部湖区偏小,北部偏大...     

AHP与GA-SVM耦合模型在滑坡预警中的应用*

为了减少滑坡造成的损失,提高滑坡预测的准确性,通过搭建灾害模拟平台获得滑坡的实验数据,在获得多组模拟实验数据后,分析各变量的特性。首先,通过层次分析(Analytic Hierarchy Process,AHP)算法,对滑坡进行危险度划分;然后,通过支持向量机(Support Vector Machine,SVM)建立模型,遗传算法(Genetic Algorithm,GA)再优化SVM参数,提出1种层次分析法与GA-SVM相耦合的模型。研究结果表明:AHP方法划分后的数据,通过GA与SVM结合建立的模型精度较好,实验预测结果与实际结果较为吻合,与单一SVM相比,精度更高,结果更好,更加适用于多变量的复杂非线性滑坡预警。     

碳组分不同监测分析技术的比较

采用在线监测和实验室分析方法,分别在热光透射法(TOT)NIOSH 5040、870升温协议和热光反射法(TOR)IMPROVE-A升温协议下测定PM_2.5中有机碳(OC)、元素碳(EC),并将各测定结果做比对分析。结果表明,在线监测(NIOSH 5040)与实验室分析(IMPROVE-A)结果的相关系数R>0.8,总体相关性较好,EC值差异略大;在线监测与实验室分析在NIOSH 870协议下TC测定值总体相近,OC与EC测定值略有差异;在线监测中NIOSH 5040协议下的OC测定值略低于870协议,EC测定值略高于870协议,日常监测中两种温度协议均可选择。     

Source Apportionment Of Groundwater Pollution Around Landfill Site In Nagpur, India

The present work attempts statistical analysis of groundwater quality near a Landfill site in Nagpur, India. The objective of the present work is to figure out the impact of different factors on the quality of groundwater in the study area. Statistical analysis of the data has been attempted by applying Factor Analysis concept. The analysis brings out the effect of five different factors governing the groundwater quality in the study area. Based on the contribution of the different parameters present in the extracted factors, the latter are linked to the geological setting, the leaching from the host rock, leachate of heavy metals from the landfill as well as the bacterial contamination from landfill site and other anthropogenic activities. The analysis brings out the vulnerability of the unconfined aquifer to contamination.     

稳健GM(1,1)模型在工业固废产生量预测中的应用

本文提出了稳健灰色模型,并用该模型建立了山东省工业固体废物产生量数学模型。结果表明,稳健ＧＭ（１,１）模型比通常的ＧＭ（１,１）模型更具预测应用价值。