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Assessment of urban greenhouse gas emissions towards reduction planning and low-carbon city: a case study of Montreal, Canada

Author(s): Shadnoush Pashaei

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 ...

Article GUID: 38638449


A DiffeRential Evolution Adaptive Metropolis (DREAM)-based inverse model for continuous release source identification in river pollution incidents: Quantitative evaluation and sensitivity analysis

Author(s): Zhu Y; Cao H; Gao Z; Chen Z;

The identification of continuous pollution sources for rivers is of great concern for emergency response. Most studies focused on instantaneous river pollution sources and associated incidents. There is a dire need to address continuous pollution sources, as pollutant discharge may impose a major impact on the water ecosystem. Therefore, in this study, a ...

Article GUID: 38309421


Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration

Author(s): Hou D; Zhan D; Wang L; Hassan IG; Sezer N;

Many factors contribute to the inherent uncertainty of energy consumption modeling in buildings. It is essential to perform a calibration and sensitivity analysis in order to manage these uncertainties. Despite the availability of several calibration methods, they are often deterministic and lack quantified uncertainties. Moreover, the selection of parame ...

Article GUID: 37936825


Development of a DREAM-based inverse model for multi-point source identification in river pollution incidents: Model testing and uncertainty analysis

Author(s): Zhu Y; Chen Z;

Source identification plays a vital role in implementing control measures for sudden river pollution incidents. In contrast to single-point source identification problems, there have been no investigations into inverse identification of multi-point emissions. In this study, an inverse model is developed based on the observed time series of pollutant conce ...

Article GUID: 36191500


Identification of point source emission in river pollution incidents based on Bayesian inference and genetic algorithm: Inverse modeling, sensitivity, and uncertainty analysis

Author(s): Zhu Y; Chen Z; Asif Z;

Identification of pollution point source in rivers is strenuous due to accidental chemical spills or unmanaged wastewater discharges. It is crucial to take physical characteristics into account in the estimation of pollution sources. In this study, an integrated inverse modeling framework is developed to identify a point source of accidental water polluti ...

Article GUID: 34380214


Assessment of regional greenhouse gas emission from beef cattle production: A case study of Saskatchewan in Canada.

Author(s): Chen Z, An C, Fang H, Zhang Y, Zhou Z, Zhou Y, Zhao S

J Environ Manage. 2020 Mar 25;264:110443 Authors: Chen Z, An C, Fang H, Zhang Y, Zhou Z, Zhou Y, Zhao S

Article GUID: 32217321


Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction.

Author(s): Vorwerk J, Aydin Ü, Wolters CH, Butson CR

Front Neurosci. 2019;13:531 Authors: Vorwerk J, Aydin Ü, Wolters CH, Butson CR

Article GUID: 31231178


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