Keyword search (4,163 papers available)

"Sensitivity analysis" Keyword-tagged Publications:

Title Authors PubMed ID
1 Assessment of urban greenhouse gas emissions towards reduction planning and low-carbon city: a case study of Montreal, Canada Shadnoush Pashaei 38638449
ENCS
2 A DiffeRential Evolution Adaptive Metropolis (DREAM)-based inverse model for continuous release source identification in river pollution incidents: Quantitative evaluation and sensitivity analysis Zhu Y; Cao H; Gao Z; Chen Z; 38309421
ENCS
3 Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration Hou D; Zhan D; Wang L; Hassan IG; Sezer N; 37936825
ENCS
4 Development of a DREAM-based inverse model for multi-point source identification in river pollution incidents: Model testing and uncertainty analysis Zhu Y; Chen Z; 36191500
ENCS
5 Identification of point source emission in river pollution incidents based on Bayesian inference and genetic algorithm: Inverse modeling, sensitivity, and uncertainty analysis Zhu Y; Chen Z; Asif Z; 34380214
ENCS
6 Assessment of regional greenhouse gas emission from beef cattle production: A case study of Saskatchewan in Canada. Chen Z, An C, Fang H, Zhang Y, Zhou Z, Zhou Y, Zhao S 32217321
ENCS
7 Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction. Vorwerk J, Aydin Ü, Wolters CH, Butson CR 31231178
PERFORM

 

Title:Assessment of urban greenhouse gas emissions towards reduction planning and low-carbon city: a case study of Montreal, Canada
Authors:Shadnoush Pashaei
Link:https://pubmed.ncbi.nlm.nih.gov/38638449/
DOI:10.1186/s40068-024-00341-y
Publication:Environmental systems research
Keywords:Emission assessmentGreenhouse gasSensitivity analysisUrban activities
PMID:38638449 Category: Date Added:2024-04-19
Dept Affiliation: ENCS
1 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, H3G 1M8 Canada.

Description:

Greenhouse gases (GHGs) can be produced from a broad range of anthropogenic activities at different spatial and temporal scales. In particular, emissions from urban area are an import source of GHGs. City is a complicated system consisting of various component and processes. Efforts have been made to reduce urban GHG emissions. However, there is a lack of available methods for effective assessment of such emissions. Many urban sources and factors which can influence the emissions are still unknown. In the present study, the GHG emissions from municipal activities was assessed. A model for the assessment of urban GHG emissions was developed. Based on the collected data, a case study was conducted to evaluate urban GHG emissions. The comprehensive assessment included the emissions from transportation, electricity consumption, natural gas, waste disposal, and wastewater treatment. There was a variation for GHG emissions from these sectors in different years. This study provided a new approach for comprehensive evaluation of urban GHG emissions. The results can help better understand the emission process and identify the major emission sources.

Supplementary information: The online version contains supplementary material available at 10.1186/s40068-024-00341-y.





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