凹凸棒粘土接枝聚丙烯腈的条件优化及吸附性能研究

采用自由基聚合的方法在硅烷偶联剂改性凹凸棒粘土表面接枝聚合丙烯腈,优化了反应条件:引发剂浓度[K2S2O8]=1.5×10-3mol/L,单体浓度40%(w/w),聚合温度60℃、聚合时间5 h、凹凸棒粘土的添加量2%;并考察了复合材料特性粘数及凹凸棒粘土添加量对其吸附性能的影响。结果表明,随着复合材料特性粘数的增加,复合材料对Pb2+的平衡吸附量先降低后增加;随着凹凸棒粘土添加量的增加,复合材料对Pb2+的平衡吸附量先增加后减小。     

卫生填埋场防渗衬垫系统优化设计

根据已建卫生填埋场防渗衬垫设计的实践经验总结,指出垃圾卫生填埋场防渗衬垫设计应从结构稳定、污染防治、减压导排等几方面进行综合考虑。采用现代环境卫生技术和环境土工技术,对防渗衬垫系统进行优化设计,并将其应用至现代卫生填埋场防渗衬垫设计中。     

绿色低碳背景下中国产业结构调整分析

中国作为世界第一的一次能源消费国以及最大的二氧化碳排放国,在巴黎世界气候大会上承诺于2030年以前单位碳强度较2005年降低60%—65%;此外,在《"十三五"规划纲要》中中国政府也明确提出,在"十三五"时期,碳排放强度较2005年基础上降低40%—45%的目标。在此背景下,本文基于最新的投入产出表构建了产业结构优化模型。通过行业的生产结构矩阵,构建出行业的能源结构消耗矩阵及碳排结构矩阵,旨在能源消耗量与二氧化碳排放量的双重约束下,得到中国2020年最优的产业结构调整方案,并计算了基于现有科技水平下中国最大的碳排潜力。线性规划的结果显示:(1)中国2020年最优的产业结构调整方案可以满足国民经济总产出量最大化的目标,年均增长约为8%;且相比目标年份(2005年)二氧化碳强度下降46.93%,能源强度下降26.04%,达到"十三五"规划中的气候变化目标。在保证经济最低增速(6.5%)的前提下,中国二氧化碳的排放总量可以比优化方案再多下降约14%。(2)建筑业、交通运输及仓储业仍然是中国重要的支柱产业,在国民经济整体的占比份额仍需扩大。(3)从生产的角度看,中国产业结构必须全面向第三产业服务业转型,全面提高国民经济中第三产业的比重,尤其是加大生活服务业类部门的产出量。(4)为了满足"绿色、低碳"的约束限制,半数以上的二产部门的生产规模都应有所降低,尤其是能源部门和金属加工业部门。     

Comparative performance study of different configurations of organic Rankine cycle using low-grade waste heat for power generation

This paper aims at analyzing the feasibility of a waste heat recovery power generation plant based on parametric optimization and performance analysis using different organic Rankine cycle configurations and heat source temperature conditions with working fluid R-12, R-123, R-134a, and R-717. A parametric optimization of turbine inlet temperature(TIT) was performed to obtain the irreversibility rate, system efficiency, availability ratio, turbine work output, system mass flow rate, second-law efficiency, and turbine outlet quality, along the saturated vapor line and also on superheating at an inlet pressure of 2.50 MP in basic as well as regenerative organic Rankine cycle. The calculated results reveal that selection of a basic organic Rankine cycle using R-123 as working fluid gives the maximum system efficiency, turbine work output, second-law efficiency, availability ratio with minimum system irreversibility rate and system mass flow rate up to a TIT of 150°C and appears to be a choice system for generation of power by utilizing the flue gas waste heat of thermal power plants and above 150°C the regenerative superheat organic Rankine cycle configuration using R 123 as working fluid gives the same results.     

碳中和视角下甘肃省县域碳收支时空分异与国土空间分区优化

在新时代全面践行“生命共同体”整体系统观背景下,将碳中和发展目标纳入国土空间规划建设中,优化符合甘肃实际省情的国土空间格局及提出相应发展策略,对于推动区域经济社会绿色低碳转型与高质量发展具有重要意义. 以甘肃省县域为例,基于碳中和研究视角,测算分析2010年、2015年和2021年全省87个县域土地利用碳收支量,运用GIS空间分析法、社会网络分析法等方法进一步探究其时空分异特征及碳排放空间关联网络整体特征. 最后结合主体功能区划进行低碳发展导向下的国土空间优化分区,提出差异化的低碳发展策略. 结果表明： ①碳排放量呈上升趋势但增幅相对较小,空间上呈现“中部和东部高,西南低”的分布态势,建设用地是主要的碳源. 碳吸收量在空间上呈现“南高北低,西高东低”的分布特征,林地是主要的碳汇. 净碳排量呈增加趋势,省内约58.62%的县域处于碳失衡状况. ②2021年县域碳排放空间网络关系紧密且规模较大,呈现“核心-边缘”形态,城关区和七里河区处于网络核心地位,在网络中接受较多关联关系. 陇中地区网络联系频繁,陇东南地区联系次之. ③以碳排放量、碳吸收量和生态承载系数为依据,以社会网络空间关联性结果为角色定位,将全省划分为4种碳中和分区. 同时,叠加分析主体功能区划,将全省县域重构为7个国土空间分区并对各分区提出差别化区域低碳优化发展策略.     

高效产絮凝剂荧光假单胞菌C-2培养条件优化应用

以筛选出的一株高效产絮凝剂荧光假单胞菌C-2为菌种,采用单因素试验方法确定最佳碳源为葡萄糖,最佳氮源为黄豆饼粉。采用正交试验设计方法,对该菌产絮凝剂的培养条件进行优化研究,结果表明:菌株产絮凝剂的最佳培养条件是碳源为葡萄糖(20.0g/L),氮源为黄豆饼粉(4.0g/L),培养温度为30℃,培养基初始pH值为8.0,通气量为160r/min,在此培养条件下,对高岭土悬浊液絮凝率达93.52%。最佳培养条件下产生的絮凝剂用于多种实际废水的净化,其中对色度和浊度的去除率均在80%以上,对COD的去除率为52.67%～85.22%。     

Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model

● Data acquisition and pre-processing for wastewater treatment were summarized. ● A PSO-SVR model for predicting COD_eff in wastewater was proposed. ● The COD_eff prediction performances of the three models in the paper were compared. ● The COD_eff prediction effects of different models in other studies were discussed. The mining-beneficiation wastewater treatment is highly complex and nonlinear. Various factors like influent quality, flow rate, pH and chemical dose, tend to restrict the effluent effectiveness of mining-beneficiation wastewater treatment. Chemical oxygen demand (COD) is a crucial indicator to measure the quality of mining-beneficiation wastewater. Predicting COD concentration accurately of mining-beneficiation wastewater after treatment is essential for achieving stable and compliant discharge. This reduces environmental risk and significantly improves the discharge quality of wastewater. This paper presents a novel AI algorithm PSO-SVR, to predict water quality. Hyperparameter optimization of our proposed model PSO-SVR, uses particle swarm optimization to improve support vector regression for COD prediction. The generalization capacity tested on out-of-distribution (OOD) data for our PSO-SVR model is strong, with the following performance metrics of root means square error (RMSE) is 1.51, mean absolute error (MAE) is 1.26, and the coefficient of determination (R²) is 0.85. We compare the performance of PSO-SVR model with back propagation neural network (BPNN) and radial basis function neural network (RBFNN) and shows it edges over in terms of the performance metrics of RMSE, MAE and R², and is the best model for COD prediction of mining-beneficiation wastewater. This is because of the less overfitting tendency of PSO-SVR compared with neural network architectures. Our proposed PSO-SVR model is optimum for the prediction of COD in copper-molybdenum mining-beneficiation wastewater treatment. In addition, PSO-SVR can be used to predict COD on a wide variety of wastewater through the process of transfer learning.     

Minimization of socioeconomic disruption for displaced populations following disasters

In the aftermath of catastrophic natural disasters such as hurricanes, tsunamis and earthquakes, emergency management agencies come under intense pressure to provide temporary housing to address the large‐scale displacement of the vulnerable population. Temporary housing is essential to enable displaced families to reestablish their normal daily activities until permanent housing solutions can be provided. Temporary housing decisions, however, have often been criticized for their failure to fulfil the socioeconomic needs of the displaced families within acceptable budgets. This paper presents the development of (1) socioeconomic disruption metrics that are capable of quantifying the socioeconomic impacts of temporary housing decisions on displaced populations; and (2) a robust multi‐objective optimization model for temporary housing that is capable of simultaneously minimizing socioeconomic disruptions and public expenditures in an effective and efficient manner. A large‐scale application example is optimized to illustrate the use of the model and demonstrate its capabilities ingenerating optimal plans for realistic temporary housing problems.     

基于基础设施性能的资产管理策略(英文)

基础设施的可持续发展需要系统地研究包括资产管理在内的基础设施管理的各个相关方面。本文构建了基于基础设施性能的资产管理策略的框架,并详细讨论了其主要原则与关键内容。     

基于SE-FA的现役装备改进风险评价指标体系研究

现役装备改进是在原有产品基础上,通过采用各种改进措施,对产品的战术技术性能和结构进行局部改善,以达到提高或改进装备性能,延长装备使用寿命的目的.现役装备改进是一个复杂的系统工程过程,制约因素多、技术难度大,风险在所难免.为确保改进任务顺利进行,必须及时开展风险分析和评价研究,从而预先采取针对性措施加以防范.研究分析了现役装备改进的风险因子,构建了风险评价指标体系,并运用结构熵理论对指标体系的结构有序度进行了评价,提出了相对优化方案.最后,运用因子分析方法(FA)对构建的指标体系进行了因子分析,验证了指标体系的合理性.