Toward Reconciling Bottom‐Up and Top‐Down Estimates of N <sub>2</sub> O and CH <sub>4</sub> Emissions in Rotterdam

Abstract Cities are key areas for implementing measures to reduce greenhouse gas emissions; however, large uncertainties exist in both “bottom‐up” inventories and “top‐down” estimates of urban N 2 O and CH 4 emissions. We combine top‐down and bottom‐up approaches to evaluate the N 2 O and CH 4 emission inventory for Rotterdam based on high‐precision measurements made using an aircraft and a mobile vehicle. We divided the Rotterdam area into two sub‐areas: (a) west industrial area (WIA) and (b) Rotterdam urban area (RUA). For the top‐down estimate, the total emissions from Rotterdam are calculated as the sum of quantified emissions from both the WIA and the RUA based on aircraft observations. We further quantified emissions from key source categories including Wastewater Treatment Plants, Traffic and Transportation, Chemical Industry, Energy, and Refineries based on mobile vehicle and aircraft measurements. These measurements revealed that N 2 O and CH 4 emissions were 2–4 and 4–16 times higher than inventory estimates, respectively. We revised the inventory after which the discrepancy between top‐down estimates and Rotterdam's emission inventory decreased from approximately a factor of 4 to about 2 for N 2 O, whereas CH 4 emissions between top‐down and inventory showed no significant difference within the uncertainty. The persistent gap between top‐down and bottom‐up estimates implies the underestimation of N 2 O emissions from other sources (such as sewerage and landfills) and/or the existence of missing sources that are not fully accounted for in the inventory. Our findings highlight the need for further comprehensive quantification across additional source categories and temporal scales.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-10-31
DOI
https://doi.org/10.1029/2025jd044365
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward Reconciling Bottom‐Up and Top‐Down Estimates of N 2 O and CH 4 Emissions in Rotterdam

Steven M. A. C. van Heuven, Huilin Chen, Ronald Hutjes, A. Hensen et al.
Journal of Geophysical Research Atmospheres
Atmospheric and Environmental Gas Dynamics
article

Toward Reconciling Bottom‐Up and Top‐Down Estimates of N 2 O and CH 4 Emissions in Rotterdam

Steven M. A. C. van Heuven, Huilin Chen, Ronald Hutjes, A. Hensen, Bert Scheeren, Gerrit Jan de Bruin, Zhao Zhao, Xin Tong
article en

Abstract

Abstract Cities are key areas for implementing measures to reduce greenhouse gas emissions; however, large uncertainties exist in both “bottom‐up” inventories and “top‐down” estimates of urban N 2 O and CH 4 emissions. We combine top‐down and bottom‐up approaches to evaluate the N 2 O and CH 4 emission inventory for Rotterdam based on high‐precision measurements made using an aircraft and a mobile vehicle. We divided the Rotterdam area into two sub‐areas: (a) west industrial area (WIA) and (b) Rotterdam urban area (RUA). For the top‐down estimate, the total emissions from Rotterdam are calculated as the sum of quantified emissions from both the WIA and the RUA based on aircraft observations. We further quantified emissions from key source categories including Wastewater Treatment Plants, Traffic and Transportation, Chemical Industry, Energy, and Refineries based on mobile vehicle and aircraft measurements. These measurements revealed that N 2 O and CH 4 emissions were 2–4 and 4–16 times higher than inventory estimates, respectively. We revised the inventory after which the discrepancy between top‐down estimates and Rotterdam's emission inventory decreased from approximately a factor of 4 to about 2 for N 2 O, whereas CH 4 emissions between top‐down and inventory showed no significant difference within the uncertainty. The persistent gap between top‐down and bottom‐up estimates implies the underestimation of N 2 O emissions from other sources (such as sewerage and landfills) and/or the existence of missing sources that are not fully accounted for in the inventory. Our findings highlight the need for further comprehensive quantification across additional source categories and temporal scales.

Journal of Geophysical Research AtmospheresVol. 130(21)
Netherlands Organisation for Applied Scientific Research (NL), University of Groningen (NL), Nanjing University (CN), Wageningen University & Research (NL)
National Key Research and Development Program of China
Openalex Percentile: Top 70%
Atmospheric and Environmental Gas Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.