145 citations as recorded by crossref.

1. Assessment of urban traffic vehicle emissions reduction after integration of ‘traffic light countdown’ module in navigation M. Zhang et al.
2. Lifetime exposure to health-related air pollutants in the United Kingdom: A spatiotemporal evaluation (1930–2010) through WRF-CMAQ modeling G. Chen et al.
3. High-resolution spatiotemporal dynamic simulation and driving force analysis of carbon emissions in coastal cities: The case of Ningbo City G. Cui et al.
4. Geologic CO2 sequestration: unveiling complexities, challenges and strategic insights toward net zero emissions—A critical review in the Indian context P. Shukla et al.
5. Enhancing Space-Based Tracking of Fossil Fuel CO2 Emissions via Synergistic Integration of OCO-2, OCO-3, and TROPOMI Measurements T. Li et al.
6. How can we trust TROPOMI based methane emissions estimation: calculating emissions over unidentified source regions B. Zheng et al.
7. Analysis on spatial pattern evolution and policy of CO2 emissions from economic sectors in China from 2005 to 2020 X. Zhang et al.
8. The role of digitalization in the impact of renewable energy on sustainable development in the Eurozone O. Zarrad et al.
9. Global daily CO2 emissions from 1970 to 2024 T. Li et al.
10. International trade and air-quality-related mortality S. Wang et al.
11. High-resolution inversion of urban methane emissions in the Chengdu–Chongqing economic circle using ground-based observations and a dynamic error Bayesian framework Z. Xia et al.
12. Renewable Electricity Transition, Waste System Modernization, and Sustainable Methane Mitigation: Global Evidence on Governance-Conditioned Co-Benefits Y. Lu et al.
13. Government advocacy for ecological value reshapes the environmental Kuznets curve: Evidence from China’s ecosystem product value realization M. Jin et al.
14. Multi-Source Remote Sensing-Constrained Evaluation of CMAQ Aerosol Optical Depth over Major Urban Clusters in China Z. Peng et al.
15. A percentile-based inverse modelling approach for enhanced source quantification using high-frequency concentration measurements A. Luhar et al.
16. Synergy of Multiple‐Satellite Measurements to Fill the Gap of Global XCO2 J. Lee et al.
17. 2019–2024 trends in African livestock and wetland emissions as contributors to the global methane rise N. Balasus et al.
18. Assessment of quasi-global surface ozone simulations with WRF-chem using multi-dataset evaluation L. Wu et al.
19. Comparison of High-Resolution Gridded Emission Maps of Anthropogenic Carbon Dioxide in Europe: GRACED & CAMS-REG Q. Shi et al.
20. Urban trees exhibit stronger sensitivity to environmental change but larger growth recovery than their rural counterparts J. Yang et al.
21. Applicability and Evaluation of Flue Gas Treatment Methods for Oxyfuel Combustion S. Talei et al.
22. Mapping the Global Carbon Emissions of Marine Sectors C. Feng et al.
23. Halving global ammonia emissions with cost-effective measures X. Zhang et al.
24. Inversion-based assessment of anthropogenic NOx emission changes in Ukraine during the 2022–2023 war using TROPOMI satellite data Y. Mao et al.
25. Dynamics of ecosystem health in the Guanzhong-Tianshui Economic Zone: A Catboost and SHAP−based analysis from 1990 to 2020 W. Xiao et al.
26. Provincial CO2 emission peak and drivers in China based on near-real-time data X. Huang et al.
27. Impacts of summertime photochemical aging on the physicochemical properties of aerosols in a Paris suburban forest region C. Yu et al.
28. Simulation and spatiotemporal dynamic analysis of air-mediated ecosystem service flows: A case study of Guanzhong Plain urban agglomeration Y. Wang et al.
29. Worldwide inference of national methane emissions by inversion of satellite observations with UNFCCC prior estimates J. East et al.
30. The HTAP_v3.2 emission mosaic: merging regional and global monthly emissions (2000–2020) to support air quality modelling and policies D. Guizzardi et al.
31. Assessing climate and air quality benefits of methane mitigation for U.S. landfills A. Folorunsho et al.
32. High-resolution inventories for Reactive Nitrogen Emissions from China’s livestock during 2005–2022 Y. Chen et al.
33. Monthly methane emissions in Chinese mainland provinces from 2013–2022 D. Cui et al.
34. Reduction of methane emissions through improved landfill management H. Tong et al.
35. Remote Sensing for Quantifying Greenhouse Gas Emissions at Carbon Capture, Utilisation and Storage Facilities: A Review C. Karoff et al.
36. Space-based inversion reveals underestimated carbon monoxide emissions over Shanxi X. Li et al.
37. Assessing the effectiveness of large-scale ecological restoration programs: a spatiotemporal analysis of ecological efficiency in forest and landscape restoration Y. Ren et al.
38. The Scaling Law of CO2 Emissions in Chinese Urban Agglomerations: A Zipf’s Law Perspective and its Policy Implications Y. Ning et al.
39. Vast and hidden urban methane emissions from the Russia–Ukraine war Z. Feng et al.
40. The relationship between tourism, economic growth and environmental sustainability: empirical evidence from major tourist destinations F. Alcalá-Olid et al.
41. Atmospheric black carbon in the climate system Ö. Gustafsson et al.
42. Near-Real-Time Emission Characterization for Major Industrial Sectors Using Multisatellite and Base-Year Emission Inventories J. Ye et al.
43. GHGPSE-Net: a method towards spaceborne automated extraction of greenhouse-gas point sources using point-object-detection deep neural network Y. Pang et al.
44. Adjustment of the Power of Model Emissions of Anthropogenic Atmospheric Pollution Sources Based on Measurement Data and Adjoint Problem Methods P. Antokhin et al.
45. Satellite quantification of methane emissions from South American countries: a high-resolution inversion of TROPOMI and GOSAT observations S. Hancock et al.
46. Spatiotemporal variability of methane concentrations driven by ruminant livestock in Mongolia: insights from satellite observations and machine learning C. Bao et al.
47. Evidence of policy-driven emission reductions and post-pandemic rebound from high-resolution inventories in China W. Shan et al.
48. Regional air quality trade-offs from vehicle electrification in China C. Jiang et al.
49. Bridging the Gap: A comprehensive review and cross-check analysis for China's Non-CO2 greenhouse gas emission estimates L. Hu & X. Fang
50. Challenges in mechanistic modeling of methane production and release in agricultural soils: Perspective on limitations and opportunities S. Beegum et al.
51. The Influence of Emission Sources and Meteorological Factors to Long-Term Changes in PM2.5 over China (1980–2022) X. Lu et al.
52. Green digital pathway toward carbon neutrality: examining the role of green data centers in reducing carbon emissions C. Nie et al.
53. Green leapfrogging in China? Unveiling the impact of new infrastructure construction on synergistic control of pollutants and carbon emissions: Evidence from green data center Z. Yang et al.
54. How does big data development affect urban environmental welfare performance in China? Evidence from national big data comprehensive pilot zones X. Wang et al.
55. Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions Y. Bo et al.
56. Biomethanol as a Marine Fuel Within Land Use Sustainability Boundaries H. Esfandiari et al.
57. High resolution air quality simulation in the Himalayan valleys, a case study in Bhutan B. Bessagnet et al.
58. Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations L. Estrada et al.
59. Disaggregated Municipal Energy Consumption and Emissions in End-use Sectors in Germany and Spain for 2022 S. Patil et al.
60. Spatial-temporal patterns and drivers of coastal water quality dynamics: Insights from explainable machine learning and PLS-SEM analysis in Xiamen Bay, China . Aynuddin et al.
61. Machine learning estimates for G20 subnational urban GHG emissions from 2000–2020 Y. Yu et al.
62. Missing wintertime methane emissions from New York City related to combustion L. Schiferl et al.
63. Impacts of source regions and atmospheric transport on physical properties of black carbon and tracer ratios over the Yellow Sea: evidence from multi-seasonal airborne observations N. Yu et al.
64. Enabling a Digital Earth for methane emissions management with equal-area discrete global grids M. Li & S. Liang
65. Spatiotemporal Analysis of Methane Emissions and Mitigation Potential in China: A Scenario-Based Study Using the Greenhouse Gas—Air Pollution Interactions and Synergies—Methane Framework Y. Deng et al.
66. Energy, exergy and environmental analysis of Rankine cycle for a steady state CFETR power plant with divertor as preheater M. Khan et al.
67. Scenario aware multi pollutant emissions forecasting for India using hybrid ridge-VARX and gradient boosting with inequality aware reconciliation G. Kannaiyan et al.
68. Spatial distribution of bird diversity sensitivity to air pollutants K. Yang et al.
69. An Intercomparison of Underground Coal Mine Methane Emission Estimation in Shanxi, China: S5P/TROPOMI vs. GF-5B/AHSI Z. Yang et al.
70. An Integrated Framework for MOSAIC-AQNEA Emission Inventory Development in Northeast Asia M. Park et al.
71. Changing tropospheric NO2 dynamics across Indian air pollution hotspots A. Biswal et al.
72. Dynamic regional synergies in air pollution and carbon reduction in China: A stacked ensemble machine learning approach for precise emission control K. Wang et al.
73. Assessment of methane emissions from US onshore oil and gas production using MethaneAIR measurements K. MacKay et al.
74. Structural shifts in China’s oil and gas CH4 emissions with implications for mitigation efforts J. Luo et al.
75. North–south inhomogeneous variations of methane emissions observed by TROPOMI over China S. Yu et al.
76. Satellite Insights into methane Super-Emitters: Regional emissions and yearly growth on Turkmenistan’s west coast Z. He et al.
77. Current Estimates on Greenhouse Gas Emissions in China Between 1970 and 2023 S. Yao et al.
78. Characterizing diurnal variability in power plant carbon emissions in Asia: A top-down estimation approach constrained by geostationary NO2 and OCO-3 CO2 observations T. Xu et al.
79. Arctic wildfire carbon emissions strongly influenced by midsummer Tibetan Plateau precipitation X. Yang et al.
80. Detection of local-source contributions in ground-level atmospheric methane in Japan J. Zhang & H. Hayami
81. Emerging carbon dioxide hotspots in East Asia identified by a top-down inventory L. Xia et al.
82. Temporal variability of NOx emissions from power plants: a comparison of satellite- and inventory-based estimates G. Kuhlmann et al.
83. Carbon accounting for transport infrastructure: The relevance of non-traffic emissions F. Bruzzone et al.
84. Learn from Simulations, Adapt to Observations: Super-Resolution of Isoprene Emissions via Unpaired Domain Adaptation A. Giganti et al.
85. Accelerated deposition of South Asian anthropogenic emissions on southern Tibetan glaciers in the 21st century D. Yang et al.
86. Quantifying interprovincial NO₂ transport over the Yangtze River Delta: dynamics and drivers Z. Sun et al.
87. Promoting sustainable human mobility for income segregation mitigation Y. Chen et al.
88. Super-resolution localization and quantification of SO2 emissions over India using TROPOMI observations Y. Chen et al.
89. Changes in global NO2 pollution by shipping during the COVID-19 lockdown: Implication for sustainable marine operations S. Athul et al.
90. High-resolution regional inversion reveals overestimation of anthropogenic methane emissions in China S. Feng et al.
91. Temporal-spatial characteristics and driver pattern of methane emission in heterogeneous Chinese cities C. Xu et al.
92. Identifying Major CO2 and CH4 Emission Sources with the STILT Model in the Seoul Metropolitan Area During Winter 2024, Including the ASIA-AQ Campaign H. Choi et al.
93. An evaluation of air quality in major urban areas of India S. Ghosh et al.
94. Spatial association and trade-off/synergy relationships between ecosystem health and human well-being: a case study of the Manas River Basin R. Xiao et al.
95. Top-down inversion of urban-scale sectoral methane (CH4) emissions and their response to environmental drivers W. Zhao et al.
96. The ELK global emission inventory for the transport sectors M. Righi et al.
97. Global NO2 changes between 2019 and 2024 as observed by TROPOMI in urban areas and emerging hotspots D. Huber et al.
98. Mapping High-Resolution Carbon Emission Spatial Distribution Combined with Carbon Satellite and Muti-Source Data L. Cui et al.
99. Global impact of fire emission on ambient nitrate (NO3-) and health effects during 2005–2019 W. Sun et al.
100. City-level Ecological Footprint: Measurement, key determinants, and the role of lifestyle R. Zhang et al.
101. Spatial–temporal evolution, drivers, and pathways of the synergistic effects of digital transformation on pollution and carbon reduction in heavily polluting enterprises W. Mai et al.
102. A Century of Vehicular Emissions in Brazil: Unveiling the Impacts of Unique Fuel Mix on Air Quality S. Ibarra-Espinosa et al.
103. Long-term analysis of atmospheric propane over Southern Europe based on observations conducted at the WMO-GAW station of Monte Cimone E. Mancinelli et al.
104. Flux measurements of NOx, O3 and Ox: Emission characteristics, inventory validation and titration effects X. Zhang et al.
105. Atmospheric anthropogenic CO2 variations observed by tower in-situ measurements and simulated by the STILT model in the Beijing megacity region H. Yang et al.
106. Scaling up water-saving irrigation reduces yield-scaled greenhouse gas emissions by over one-quarter in China’s rice paddies Q. Xu et al.
107. Space-based observation of global increase in urban methane emissions from 2019–2023 E. Whiting et al.
108. Spatiotemporal evolution and driving factors of urban carbon balance in China using interpretable machine learning approaches S. Li & D. Fan
109. Integrating IAM-based CO2 projections and traffic demand forecasting for regional CO2 emission mapping in the transport sector H. Hu et al.
110. Global energy sector methane emissions estimated by using facility-level satellite observations D. Jervis et al.
111. Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India T. Mathew et al.
112. Towards routine shipborne measurements of columnar CO2, CH4, CO, and NO2: a case study for tracking regional-scale emission patterns V. Enders et al.
113. “Low Carbon City-Green Transportation” Policy Synergy and Pollution Reduction and Carbon Emission Reduction—Based on DID Model D. Xie et al.
114. China’s regional net zero scenarios to 2060 Y. Huang et al.
115. Black carbon dynamics over the Northern Indian Ocean: Variability, emission sources, transport and future projections S. Singh & S. Tiwari
116. Norwegian–Polish carbon capture and storage network: Bilateral collaboration for European climate action M. Nooraiepour et al.
117. Investigation of China’s Anthropogenic Methane Emissions with Approaches, Potentials, Economic Cost, and Social Benefits of Reductions R. Feng et al.
118. Synergistic Effects of Carbon Reduction in Urban Energy Consumption and Pollution Mitigation: A Case Study of Chengdu, China Q. Li & P. Zhang
119. Assessment of thermal power plant CO2 emissions quantification performance and uncertainty of measurements by ground-based remote sensing C. Li et al.
120. The biomass dilemma: Assessing synergies and trade-offs between climate change mitigation, air quality and other environmental impacts across the EU J. Bastos et al.
121. Methane Concentration in the Atmosphere over Seas of the Western Sector of Russian Arctic in the Late Autumn Season in 2023 N. Pankratova et al.
122. Wealth, health, and happiness: An inverse story of the Easterlin Paradox in China Y. Wang et al.
123. Quantifying the Impact of High Emitters on Vehicle Emissions: An Analysis of Ecuador’s Inspection and Maintenance Program S. Ibarra-Espinosa et al.
124. Methane intensity and emissions across major oil and gas basins and individual jurisdictions using MethaneSAT observations J. Williams et al.
125. Synergic pollution reduction and carbon reduction effects of the "innovation-driven + property rights protection" policy instrument combination X. Wang
126. Microbial driver of 2006–2023 CH 4 growth indicated by trends in atmospheric δD–CH 4 and δ 13 C–CH 4 B. Riddell-Young et al.
127. Soil nitrous oxide emissions from global land ecosystems and their drivers within the LPJ-GUESS model (v4.1) J. Ma et al.
128. Inversion of CO emissions in Greater Bay Area over southern China using a WRF-STILT-Bayesian framework X. Lu et al.
129. Developed urban datasets for WRF-STILT: impacts on near-surface CO2 concentration in urban functional zones C. Xu et al.
130. SO2 emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes Y. Chen et al.
131. Pollution-Carbon Synergy Significantly Enhances the Capability of Tracking Power Plants’ CO2 Emissions from Space D. Fan et al.
132. Digital Economy and Virality Products of Startup Users Informal Sector in Palembang: An Analysis of Spatial Distribution-Based Study M. Monanisa et al.
133. Global Carbon Footprint Distribution Modeling and Dynamic Coordination Strategy for Emission Reduction Paths Under a Federated Coordination Mechanism R. Liu
134. Decadal changes in atmospheric ammonia and dry deposition across China inferred from space-ground measurements and model simulations F. Sun et al.
135. Quantifying the impact of air pollution from coal-fired electricity generation on crop productivity in India K. Singh et al.
136. Deriving regional and point source nitrogen oxides emissions in China from TROPOMI using the directional derivative approach with nonlinear chemical lifetime fitting L. Chen et al.
137. Impact of emission inventory uncertainty on secondary inorganic aerosol simulation over Beijing–Tianjin–Hebei region Y. Li et al.
138. High-resolution anthropogenic emission inventory for China (2015–2024): Spatiotemporal changes and environmental application D. Li et al.
139. RSML-TUSCE: A Machine-Learning Model for High-Resolution Gridded Monthly Sector Carbon Emission Timely Updates via Spatialized Emissions and Remote Sensing B. Li et al.
140. Vertical Profile Corrections Explain Satellite–Inventory Ammonia Discrepancies and Reveal Concentrated Agricultural Sources in China Q. Liu et al.
141. The total column of CO2 and CH4 observed in Nyingchi, Tibet, based on the ground-based portable FTIR C. Shan et al.
142. Who pollutes more? The influence of human development and its economic and social dimensions on non-greenhouse gas air pollutant emissions in the arab world S. Jaber
143. Measurement-based assessment reveals key drivers and mitigation potential of methane emissions from China’s wastewater treatment C. Sun et al.
144. Black carbon in major global source areas from 2000 to 2023: Spatiotemporal variation, vertical distribution, and extreme case analysis Y. Zhang et al.
145. Carbon farming in Brazil and implications for food (in)security in Africa in support of the south-south cooperation C. Nwaogu et al.