氰化渣资源化优选模型的研究

依据层次分析法原理,从经济、环境和资源化3个影响因素建立氰化渣资源化途径优选的递阶层次结构模型。以山东某黄金开发公司氰化法提炼黄金产生的氰化渣为研究案例,从氰化渣组成成分与含量分析的角度出发,结合氰化渣各资源化途径的独特要求,探讨氰化渣资源化特性与资源化途径的密切关系,拟合出氰化渣的各种资源化特性,作为结构模型中的资源化因子。然后分别对模型中的3个影响因素进行定性和半定量化处理,最终实现氰化渣资源化途径优选的决策评价,为政府部门和环境管理者提供决策参考。     

中国磷石膏资源化管理分析

磷石膏是湿法生产磷酸工艺过程中的伴生物,产生量巨大,对环境造成了很大的影响.磷石膏的资源化利用正在国内悄悄兴起,对磷石膏的规范管理也势在必行.阐述了美国磷石膏的产生以及管理的现状,对比中国现有磷石膏的资源化利用及管理的现状,为中国磷石膏的资源化管理政策提出建议.     

磷石膏中杂质及预处理对α半水石膏性能的影响

磷石膏在建筑材料上的应用受到限制源于其中的杂质对产品质量和生产经济产生了不利影响。磷石膏中可溶性磷和氟化物的存在对α半水石膏的强度和凝结时间有负面影响。采用XRD、SEM和FTIR分析,结合宏观性能实验,对磷石膏中杂质及预处理对α半水石膏的性能的影响进行了研究。研究结果表明,由于杂质的存在,原状磷石膏制备出的α半水石膏强度很低,不易凝结,不能应用于实际生产。经过石灰中和后的磷石膏作为原料,强度较好。杂质可溶磷中的磷酸对α半水石膏的性能影响最大,强度显著降低,凝结时间延长,可溶氟含量大于1%时对其性能影响较大,有促凝作用。石灰处理磷石膏时,中性和弱碱性环境最利于α半水石膏形成和生长,性能最好。     

磷石膏基胶结材固结磷尾矿性能及浸出特征

以磷石膏基材料代替水泥作为磷尾矿充填胶结材,研究了磷尾矿固结浆体和硬化体性能、浸出液污染特性和固结机理。结果表明,在同样条件下,磷石膏基材料固结磷尾矿浆体比水泥泌水量要小、浆体流动性能更优;磷石膏基材料胶结磷尾矿硬化体除3 d抗压强度略低外,其他龄期的强度是水泥的1.21~1.95倍。3 d之后,磷石膏基材料和水泥胶结尾矿硬化体浸出液总磷含量基本相近,但pH明显远低于水泥,总磷也低于污水综合排放标准限值,对环境危害低。硬化体SEM和XRD分析发现,磷石膏基材料水化生成的水化硅酸钙凝胶、针状钙矾石晶体和磷尾矿中白云石、含磷矿物生成的透钙磷石等,是整个磷尾矿固结硬化体具有较高强度、较低总磷含量和pH值主要原因。该研究表明,磷石膏基材料固化磷尾矿比水泥更有应用前景。     

Plackett-Burman设计和响应曲面法优化除磷陶粒的制备

为制备得到除磷效果较强的功能型陶粒,采用Plackett-Burman和响应曲面法对陶粒原料配比进行优化研究。采用Plackett-Burman实验设计筛选出具有显著除磷效应的4种原料——粉煤灰、水泥、石膏和氢氧化钠。以Box-Behnken Design响应面法建立数学回归模型,确定了最佳原料配比为:粉煤灰60.0 g、水泥15.0 g、氨基材料2.0 g、生石灰15.0 g、石膏3.0 g、氢氧化钠15.0 g,制得的陶粒磷去除率可达93.04%,颗粒强度为118.3 N。通过显著性检验和响应曲面等高线图分析,粉煤灰和氢氧化钠是显著影响陶粒磷去除率的主要原料,且粉煤灰与石膏、粉煤灰与氢氧化钠对陶粒的磷去除率有显著的交互影响,显著性p值分别为0.010 8和0.029 5。     

城市固体废物优化管理模型及管理成本影响因素研究

采用不确定性多目标动态优化模型,以优化环境和经济为目标,对中国佛山市固体废物管理进行规划.结果表明,该模型能大幅度降低固体废物管理与处理成本,节省财政支出.研究得出影响固体废物总处理费用的3个重要影响因素为产生量、回收量、处理容量.针对以上3个因素深入分析比较,提出了广义和狭义的综合处理技术,这是经济、环保、可行的技术策略:首先,将广义综合处理应用到实际中,采用分类回收、压缩收集、优化模型对废物进行合理配置,尽量降低经济成本和环境影响;其次,从狭义角度出发,采用多种技术组合,达到处理率高、资源化程度高、环境影响小的目的.     

磷石膏的改性及其在水泥生产中的应用

研究了磷石膏的改性方法及改性磷石膏在水泥生产中的应用，结果表明，通过改性，可将磷石膏中对水泥有害的杂质转化为难溶性，并能改善磷石膏中硫酸钙的溶解性能，改性磷石膏可以替代天然石膏用于水泥生产。     

同步辐射光谱技术在有机固废污染控制与资源化研究中的应用

有机固废中碳、磷、硫及重金属等元素赋存形态是决定其环境行为、反应活性及资源化再利用的关键因素.同步辐射光谱技术可以在分子水平、微纳米尺度原位表征有机固废中碳、磷、硫、重金属等元素赋存形态、结合位点、微观结构,为深入阐明有机固废环境行为、反应机制提供直接的证据.概述了X射线吸收光谱、微束X射线荧光光谱等同步辐射光谱技术在有机固废污染控制与资源化研究的中应用进展,并对同步辐射光谱技术在该领域应用前景和发展趋势进行了展望,以期为有机固废资源化再利用及其污染控制等研究提供参考.     

Fe/Mg负载改性竹炭去除水中的氨氮

用Mg Cl2溶液、Fe Cl3溶液浸渍对竹炭进行改性,以BET比表面积和SEM-EDS对其进行表征。通过静态吸附实验,研究改性竹炭对氨氮的吸附特性以及吸附时间、初始氨氮浓度、p H值和磷存在等因素对改性竹炭吸附氨氮能力的影响。实验表明,用氯化镁和氯化铁对竹炭进行改性,可使竹炭表面化学性质和物理结构特性同时发生变化;未改性竹炭与改性竹炭对氨氮的吸附量大小依次为:BCMBCFBCFMBC;竹炭在吸附时间为24 h时基本达到吸附平衡,吸附过程符合准二级动力学方程;改性竹炭对氨氮的吸附等温方程与Freundlich模型拟合较好;改性竹炭对氨氮吸附的最佳p H为5;磷存在可使改性竹炭对氨氮的吸附量显著增加。     

复合垂直流人工湿地除磷正交试验研究

为了确定复合垂直流人工湿地的流程、水力负荷、pH、COD对TP去除率的影响和提高除磷效果,选择了美人蕉和风车草构建的复合垂直流人工湿地试验系统,开展除磷的正交试验研究。采用SPSS13.0软件对正交试验结果进行方差分析,确定各因素显著性及优选条件。结果表明,复合垂直流人工湿地流程、水力负荷、pH、COD对除磷效果均有影响,其中流程对TP去除率影响显著,COD对TP去除率影响不显著。各因素对TP去除率的影响程度依次为:流程水力负荷pHCOD。除磷优选条件:COD为225mg/L,pH为8,流程为1100mm,水力负荷为181.25L/(m2.d)。     

Comparison of models for describing measured VOC emissions from wood-based panels under dynamic chamber test condition

Measured emission factors are the experimental data used to represent emission characteristics of volatile organic compounds (VOCs) from testing materials under dynamic chamber test conditions. A simple empirical model that describes the measured emission factors will be very useful for practical purposes. In this study, a power law model was compared with a widely used first-order exponential decay model in their ability to describe measured emission factors of wood-based panel materials. It was demonstrated that the power law model is a better choice than the first-order model for describing emission characteristics for short-term (less than 100 h) experimental data. The power law model was also more superior in predicting long-term (up to 900 h) emission factors.     

响应面法优化聚磷硫酸铁的制备及其应用

采用单因素实验方法,针对制备聚磷硫酸铁(PPFS)的主要影响因素加以分析,包括酸度(nH2SO4/nFe2+、碱化度和nPO34-/nFe2+等。以生活污水中总磷(TP)的去除率为考察对象,采用Box-Behnken中心组合实验和响应面分析方法对主要影响因素加以优化,得到了二次响应曲面模型以及优化的水平值。结果表明,当把PPFS用于生活污水中TP的去除时,其最佳制备参数如下所列:酸度为0.1017,碱化度为12.21%,nPO34-/nFe2+为0.0560。通过回归分析,模型拟合性良好,在优化制备条件下得到的TP去除率预测值与实验值接近,误差为1.26%。     

Long short-term memory neural network and improved particle swarm optimization–based modeling and scenario analysis for municipal solid waste generation in Shanghai,China

Accurate estimations of municipal solid waste (MSW) generation are vital to effective MSW management systems. While various single-point estimation approaches have been developed, the non-linearity and multiple site-specific influencing factors associated with MSW management systems make it challenging to forecast MSW generation quantities precisely. To address these concerns, this study developed a two-stage modeling and scenario analysis procedure for MSW generation and taking Shanghai as a test case demonstrated its viability. In the first stage, nine influencing factors were selected, and a hybrid novel forecasting model based on a long short-term memory neural network and an improved particle swarm optimization (IPSO-LSTM) was proposed for the forecasting of the MSW generation quantities, after which actual Shanghai data from 1980 to 2019 were used to test the performance. In the second stage, the future influencing variable values in different scenarios were predicted using an improved grey model, after which the predicted Shanghai MSW generation quantities from 2025 to 2035 were evaluated under various scenarios. It was found that (1) the proposed IPSO-LSTM had higher accuracy than the benchmark models; (2) the MSW generation quantities are expected to respectively increase to 9.971, 9.684, and 9.090 million tons by 2025 and 11.402, 11.285, and 10.240 by 2035 under the low, benchmark, and high scenarios; and (3) the MSW generation differences between the high and medium scenarios were decreasing.

     

Application of Unknown Groundwater Pollution Source Release History Estimation Methodology to Distributed Sources Incorporating Surface-Groundwater Interactions

Sources of contamination of groundwater are often difficult to characterize. However, it is essential for effective remediation of polluted groundwater resources. This study demonstrates an application of the linked simulation-optimization based methodology to estimate the release history from spatially distributed sources of pollution at an illustrative abandoned mine-site. In linked simulation-optimization approaches a numerical groundwater flow and transport simulation model is linked to the optimization model. In this study, topographic and geologic characteristics of the abandoned mine-site were simulated using a three-dimensional (3D) numerical groundwater flow model. Transport of contaminant in the groundwater was simulated using a 3D transient advective-dispersive contaminant transport model. Adsorption or chemical reaction of the contaminant was not considered in the contaminant transport model. Adaptive simulated annealing (ASA) was employed for solving the optimization problem. An optimization algorithm generates the candidate solutions corresponding to various unknown groundwater source characteristics. The candidate solutions are used as input in the numerical groundwater transport simulation model to generate the concentration of pollutant in the study area. This information is used to calculate the objective function value, which is utilized by the optimization algorithm to improve the candidate solution. This process continues until an optimal solution is obtained. Optimal solutions obtained in this study show that the linked simulation-optimization based methodology is potentially applicable for the characterization of spatially distributed pollutant sources, typically present at abandoned mine-sites.     

纤维素废弃物水热处理制H2的研究进展

水热处理为纤维素废弃物资源化应用开辟了一条新的途径，文中就水热处理技术的特点、水热条件下纤维素的降解过程进行了介绍，并着重综述了纤维素废弃物水热制H2方面的研究进展，同时对纤维素及其废弃物的水热处理和资源化研究前景进行了展望。     

纤维素废弃物水热处理制H2的研究进展

水热处理为纤维素废弃物资源化应用开辟了一条新的途径,文中就水热处理技术的特点、水热条件下纤维素的降解过程进行了介绍,并着重综述了纤维素废弃物水热制H2方面的研究进展,同时对纤维素及其废弃物的水热处理和资源化研究前景进行了展望.     

可旋转径向式微粒捕集器消声特性影响因素灰色关联分析

为降低可旋转径向式微粒捕集器中的排气噪声,采用有限元法建立可旋转径向式微粒捕集器声学特性模型,分析得到了其消声特性和传递损失曲线,并采用灰色关联分析方法研究可旋转径向式微粒捕集器结构参数对消声特性的影响程度。结果表明,可旋转径向式微粒捕集器具有降噪能力,且对高频噪声消声效果明显好于低频噪声,平均消声量为20 dB左右;直径比和扩张管锥角是影响可旋转径向式微粒捕集器消声特性的2个主要因素,适当选用小的直径比和扩张管锥角,有利于提高可旋转径向式微粒捕集器的消声性能。     

Falcon离心分选机回收废弃电路板金属的灰色模型研究

电子废弃物的资源化既能实现资源的二次利用,又能防止环境污染,具有重要的理论意义和应用价值。论述了Falcon离心分选机分选电路板的机制,并对小于0.5mm废弃电路板中金属富集体进行了分选试验。运用GM(0,N)模型对离心复合力场中回收废弃电路板建立了分选灰色模型,与实际分选结果比较表明,该模型精度很高。该模型可以对离心复合力场中回收废弃电路板金属的分选试验结果进行预测。     

Cost optimization of integrated wastewater drainage and treatment systems

This paper presents the cost optimization of an urban drainage and wastewater treatment system. The mixed sewer urban drainage (including combined sewer overflows and retention basins), the activated sludge wastewater treatment plant (WWTP), and the permissible loading of the receiving water were optimized simultaneously by the nonlinear programming approach. For this purpose, the integrated optimization model OPTIMALWWT was developed. The economic objective function of the defined investment and operational costs is subjected to rigorous design and ecological constraints. A practical example of the cost optimization of an existing urban drainage and WWTP, located in Slovenia, is presented to demonstrate the efficiency of the proposed method. For each of the two different design approaches, three different optimization cases were carried out for three different technological alternatives. As a result, the optimal technological process was finally selected for the reconstruction of the system, as a result of its suitable costs and operational safety.