温室气体
发射强度
环境科学
焚化
粒子群优化
分拆(数论)
排放清单
色散(光学)
环境工程
计算机科学
工程类
废物管理
算法
数学
污染物
化学
激发
生物
组合数学
电气工程
光学
物理
生态学
有机化学
作者
Tianqi Shi,Ge Han,Xin Ma,Huiqin Mao,Cuihong Chen,Zeyu Han,Zhipeng Pei,Haowei Zhang,Siwei Li,Wei Gong
标识
DOI:10.1088/1748-9326/acbce7
摘要
Abstract Development of the measurement-based carbon accounting means is of great importance to supplement the traditional inventory compilation. Mobile CO 2 /CH 4 measurement provides a flexible way to inspect plant-scale CO 2 /CH 4 emissions without the need to notify factories. In 2021, our team used a vehicle-based monitor system to conduct field campaigns in two cities and one industrial park in China, totaling 1143 km. Furthermore, we designed a model based on sample concentrations to evaluate CO 2 /CH 4 emissions, EMISSION-PARTITION, which can be used to determine global optimal emission intensity and related dispersion parameters via intelligent algorithm (particle swarm optimization) and interior point penalty function. We evaluated the performance of EMISSION-PARTITION in chemical, coal washing, and waste incineration plants. The correlations between measured samples and rebuilt simulated ones were larger than 0.76, and RMSE was less than 11.7 mg m −3 , even with much fewer samples (25). This study demonstrated the wide applications of a vehicle-based monitoring system in detecting greenhouse gas emission sources.
科研通智能强力驱动
Strongly Powered by AbleSci AI