Achieving air pollutant emission reduction targets with minimum abatement costs: An enterprise-level allocation method with constraints of fairness and feasibility

• Quantification of efficiency and fairness of abatement allocation are optimized. • Allocation results are refined to the different abatement measures of enterprises. • Optimized allocation results reduce abatement costs and tap the abatement space. • Abatement suggestions are given to enterprises with different abatement quotas. For achieving air pollutant emission reduction targets, total pollutant amount control is being continuously promoted in China. However, the traditional pattern of pollutant emission reduction allocation regardless of economic cost often results in unreasonable emission reduction pathways, and industrial enterprises as the main implementers have to pay excessively high costs. Therefore, this study adopted economic efficiency as its main consideration, used specific emission reduction measures (ERMs) of industrial enterprises as minimum allocation units, and constructed an enterprise-level pollutant emission reduction allocation (EPERA) model with minimization of the total abatement cost (TAC) as the objective function, and fairness and feasibility as constraints for emission reduction allocation. Taking City M in China as an example, the EPERA model was used to construct a Pareto optimal frontier and obtain the optimal trade-off result. Results showed that under basic and strict emission reduction regulations, the TAC of the optimal trade-off point was reduced by 46.40% and 45.77%, respectively, in comparison with that achieved when only considering fairness, and the Gini coefficient was 0.26 and 0.31, respectively. The abatement target was attained with controllable cost and relatively fair and reasonable allocation. In addition, enterprises allocated different emission reduction quotas under different ERMs had specific characteristics that required targeted optimization of technology and equipment to enable them to achieve optimal emission reduction effects for the same abatement cost.     

典型优化目标函数下源参数反演性能对比研究

基于外场实验数据,从反演高估率、准确性、稳定性角度系统评估了8种典型目标函数在不同未知源参数反演情形下的反演性能差异.研究发现,不同目标函数反演性能差异显著.仅反演单参数源强时（Q）,对数变换目标函数高估率最大（79.4%）,偏差平方和目标函数准确性最高（P_ARD<50%=82.3%,ARD=（35.3±9.1）%）,目标函数稳定性无明显差异（CV<0.01）.三参数反演（Q,x,y）时,标准化均方根误差目标函数源强高估率最大（98.5%）,对数变换目标函数准确性、稳定性最高（P_ARD<50%=91.1%,ARD=（48.4±9.8）%;CV=0.01）;位置方面,偏差平方和目标函数准确性最高（AD=（36.12±11.39） m）,对数变换目标函数稳定性最强（CV=0.0018）.四参数反演（Q,x,y,z）时,标准化均方根误差目标函数源强高估率最大（98.5%）,对数变换目标函数准确性、稳定性最优（P_ARD<50%=61.7%,ARD=（55.2±16.5）%;CV=0.03）;位置方面,相关系数总体表现最优（AD=（34.37±10.72） m;CV=0.011）.整体上,随反演参数变化,对数变换目标函数源强反演性能最稳定.     

The TNO multi-energy method combined to mathematical programming and computational fluid dynamics for optimisation of gas detectors

Gas leakage is a matter of concern for several industries such as oil and gas, mining, food, and healthcare. When the industry considers gas detectors, the main questions are: How many gas detectors are required? Where is the best location to install them? To answer these questions Computational Fluid Dynamics (CFD) simulations and optimisation procedures are employed to calculate the plume location and plume volume to better position the gas detectors. We investigated how the optimisation cell size for the set covering problem can be calculated based on a given explosion overpressure threshold. Resorted by the multi-energy explosion model, we calculate the flammable cloud volume associated with a pre-defined overpressure value. The cloud volume is applied in the solution of the set covering problem and an optimal set for the gas detectors is obtained. The final gas detector network (number and location of the devices) is validated against CFD simulations for small releases. The results provide evidence that the optimal gas detector networks is able to detect gas leaks within a feasible time.     

烟羽在夜间雾天状况下的扩散数值研究

用夜间雾的数值模式研究了高架源在雾形成前后的扩散特征。模拟结果表明，雾的出现影响了大气近地层结，使原来很稳定的大气变成不稳定大气，但雾顶以上仍是逆温状态，这样导致雾顶附近的高浓度污染物向地面输送加剧，造成地面污染。这种情况非常类似于日出后出现的地面熏烟。研究结果从大气扩散方面解释了近年来在雾天临测中发现的地面高浓度污染现象，说明雾天是造成地面严重污染的重要天气之一。     

水中天然有机物混凝过程的光学在线监测及控制

以腐殖酸为去除对象，用光散射颗粒分析仪（PDA）对水中天然有机物的混凝过程进行在线监测，结果表明PDA输出信号（FI曲线）的特征值与絮凝体粒径和有机物去除率之间具有相关性，在弱酸性（pH=5.0)T和中性（pH=7.0)条件下，通过合理控制混凝剂投量，腐殖酸的TOC去除率可达50％，UV254去除率可达80％－90％，但pH=7.0时的投量为pH=5.0的5倍以上，在pH＝5．0的条件下，吸附电和中是有机物混凝的主要机理，但在混凝剂投量非常高的情况下，卷扫絮凝也起重要作用。在pH=7.0条件下，卷扫絮凝则是有机物混凝的主要机理。