TY - JOUR
T1 - Performance assessment and recommendations for motor vehicle emission remote sensing equipment in megacity conditions
T2 - Insights from Beijing
AU - Cui, Yangyang
AU - Guo, Dongdong
AU - Yi, Huawei
AU - Zhu, Lijun
AU - Yang, Jianglong
AU - Hao, Lijun
AU - Fu, Mingliang
AU - Shi, Aijun
AU - Nie, Lei
AU - Cao, Honglin
AU - Yu, Yuanrong
AU - Zhang, Gen
AU - Xue, Yifeng
N1 - Publisher Copyright:
© 2026 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
PY - 2026/7
Y1 - 2026/7
N2 - Remote sensing equipment (RSE) plays an essential role in monitoring vehicle emissions but requires comprehensive evaluation to verify reliability. In this study, the performance of seven different RSE models in Beijing was assessed by comparing their measurements with those of portable emission measurement systems (PEMS) and steady-state condition testing (SCT). Large variations were observed among the RSE models for CO (16 %-363 %), NO (2 %-354 %), and HC (10 %-725 %) emissions. Comparisons between RSE and PEMS revealed even more significant discrepancies for CO (20 %-6773 %), NO (15 %-2818 %), and HC (13 %-5477 %), with maximum deviations occurring at vehicle speeds between 20 and 60 km/h, reflecting the impacts of vehicle operation on emission measurements. The correlation between RSE and SCT was satisfactory for CO and NO (R² values of 0.64-0.76) but poor for HC (R2 = 0.16-0.22), primarily due to differences in measurement principles. Strengthening management, enhancing certification and accreditation, and regular consistency checks of RSE with SCT and PEMS are recommended for improved reliability in law enforcement applications.
AB - Remote sensing equipment (RSE) plays an essential role in monitoring vehicle emissions but requires comprehensive evaluation to verify reliability. In this study, the performance of seven different RSE models in Beijing was assessed by comparing their measurements with those of portable emission measurement systems (PEMS) and steady-state condition testing (SCT). Large variations were observed among the RSE models for CO (16 %-363 %), NO (2 %-354 %), and HC (10 %-725 %) emissions. Comparisons between RSE and PEMS revealed even more significant discrepancies for CO (20 %-6773 %), NO (15 %-2818 %), and HC (13 %-5477 %), with maximum deviations occurring at vehicle speeds between 20 and 60 km/h, reflecting the impacts of vehicle operation on emission measurements. The correlation between RSE and SCT was satisfactory for CO and NO (R² values of 0.64-0.76) but poor for HC (R2 = 0.16-0.22), primarily due to differences in measurement principles. Strengthening management, enhancing certification and accreditation, and regular consistency checks of RSE with SCT and PEMS are recommended for improved reliability in law enforcement applications.
KW - Air pollution
KW - Portable emission measurement systems (PEMS)
KW - Remote sensing equipment (RSE)
UR - https://www.scopus.com/pages/publications/105036886937
U2 - 10.1016/j.jes.2025.10.041
DO - 10.1016/j.jes.2025.10.041
M3 - Article
AN - SCOPUS:105036886937
SN - 1001-0742
VL - 165
SP - 615
EP - 622
JO - Journal of Environmental Sciences (China)
JF - Journal of Environmental Sciences (China)
ER -