Annual Energy Outlook

International Geoscience and Remote Sensing Symposium (IGARSS)

The UK transport carbon model: An integrated life cycle approach to explore low carbon futures

An applications of time-varying DLNMs, specified through an interaction between cross-basis variables and the time variable, to model temporal variations in exposure-lag-response associations between heat and mortality in a multi-country multi-city (MCC) data set. Specifically, this application illustrates how to model long term variations, partly reproducing the analysis described in the associated article. Files include: [1] regEngWales.csv stores the daily time series data from 10 locations corresponding to regions of England and Wales in the period 1993--2006; and [2] the numbered files from 00.prepdata.R to 05.plots.R reproduce the results of an example with the subset of data

R code and data for: "Temporal Variation in Heat–Mortality Associations: A Multicountry Study"

https://era.library.ualberta.ca/items/1c5885e6-4b6d-43ba-8fd7-c9155ee7dcec/view/efde3914-a5a1-4427-a578-783b4be6e97a/AE_156_159.pdf

Well-to-wheel life cycle assessment of transportation fuels derived from different North American conventional crudes

Implications of land use transitions and climate change on local flooding in urban areas: An assessment of 42 Indian cities

Life cycle greenhouse gas emission assessment of major petroleum oil products for transport and household sectors in India

Understanding temperature related health risk in context of urban land use changes

This study looks into the development of multi-level classification approach for land use change mapping in Indian cities using Landsat imageries In this study, we mapped 47 Indian cities at different time frames 1990, 2000, 2010, and 2017 We started with traditional classification methods, but results provided unsatisfactory accuracy levels Thus, we employed multiple classification techniques to achieve results with higher accuracy The paper captures the evaluation of different classification techniques—hybrid, unsupervised, decision tree classification (DTC), and object-based image analysis (OBIA) The results suggest improvement in accuracy levels by using multi-level classification for different cities at different stages of the classification process The most prominent is the hybrid classification technique; 14 cities out of 47 reached to accuracy above 72% through hybrid classification For problematic classes, we used DTC, OBIA, and unsupervised classification techniques after masking the datasets DTC was used in cities with a greater number of problems in datasets For example, in the case of Kochi City, the accuracy at the initial level was reported 51% through unsupervised classification which improved to 77% (supervised classification), and finally, it reached 90% by DTC technique The overall accuracy achieved through the multi-level classification approach described in this paper for the 47 Indian cities ranges from 81 to 93%

Evaluation of Classification Techniques for Land Use Change Mapping of Indian Cities

The Indian domestic aviation sector is on a growth path and this progress can be attributed to several factors such as an expanding economy, an increase in the average income of Indians, low and economic air fares, more schedules and options available to a traveller, and a reduction in the differential fare between air travel and air-conditioned train travel. It is well known that air travel has high carbon footprints among various modes of travel, even though domestic aviation emissions have so far remained outside any credible cap-and-trade regimes around the world and also international aviation emissions are not assigned to any nation's greenhouse gas (GHG) inventory. However, signs of carbon consciousness are emerging in the domestic and international aviation sector all over the world, including carbon off-set purchases by passengers. This article ranks airlines operating in the Indian domestic sector on their per passenger-km GHG emission basis. IndiGo, GoAir and SpiceJet were the three most ‘clean...

Vidhee Avashia

Papers

Implications of land use transitions and climate change on local flooding in urban areas: An assessment of 42 Indian cities

Life cycle greenhouse gas emission assessment of major petroleum oil products for transport and household sectors in India

Understanding temperature related health risk in context of urban land use changes

Evaluation of Classification Techniques for Land Use Change Mapping of Indian Cities

Carbon competition up above: estimating greenhouse gas emissions of Indian domestic airlines