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Anil Gupta   Dr.  Other 
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Anil Gupta published an article in June 2018.
Top co-authors See all
Tanvir Islam

66 shared publications

NASA Jet Propulsion Laboratory, Pasadena, USA

Quazi K. Hassan

48 shared publications

Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, Canada

C. Valeo

21 shared publications

Department of Mechanical Engineering, University of Victoria, Victoria, BC, Canada

Danielle Marceau

18 shared publications

Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada

Babak Farjad

8 shared publications

Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada;;; Alberta Environment and Parks, Calgary, AB T2E 7L7, Canada

Publication Record
Distribution of Articles published per year 
(2012 - 2018)
Total number of journals
published in
Article 0 Reads 4 Citations An Advanced Forest Fire Danger Forecasting System: Integration of Remote Sensing and Historical Sources of Ignition Data Masoud Abdollahi, Tanvir Islam, Anil Gupta, Quazi K. Hassan Published: 12 June 2018
Remote Sensing, doi: 10.3390/rs10060923
DOI See at publisher website ABS Show/hide abstract
Forest fire is one of the major natural hazards/disasters in Canada and many ecosystems across the world. Here, our objective was to enhance the performance of an existing solely remote sensing-based forest fire danger forecasting system (FFDFS), and its implementation over the northern region of the Canadian province of Alberta. The modified FFDFS was comprised of Moderate Resolution Imaging Spectroradiometer (MODIS)-derived daily surface temperature (Ts) and precipitable water (PW), and 8-day composite of normalized difference vegetation index (NDVI) and normalized difference water index (NDWI), where we assumed that cloud-contaminant pixels would reduce the risk of fire occurrences. In addition, we generated ignition cause-specific static fire danger (SFD) maps derived using the historical human- and lightning-caused fires during the period 1961–2014. Upon incorporating different combinations of the generated SFD maps with the modified FFDFS, we evaluated their performances against actual fire spots during the 2009–2011 fire seasons. Our findings revealed that our proposed modifications were quite effective and the modified FFDFS captured almost the same amount of fires as the original FFDFS, i.e., about 77% of the detected fires on an average in the top three fire danger classes of extremely high, very high, and high categories, where about 50% of the study area fell under low and moderate danger classes. Additionally, we observed that the combination of modified FFDFS and human-caused SFD map (road buffer) demonstrated the most effective results in fire detection, i.e., 82% of detected fires on an average in the top three fire danger classes, where about 46% of the study area fell under the moderate and low danger categories. We believe that our developments would be helpful to manage the forest fire in order to reduce its overall impact.
Article 6 Reads 2 Citations Modelling Interactions between Land Use, Climate, and Hydrology along with Stakeholders’ Negotiation for Water Resources... Babak Farjad, Majeed Pooyandeh, Anil Gupta, Mohammad Motamed... Published: 07 November 2017
Sustainability, doi: 10.3390/su9112022
DOI See at publisher website ABS Show/hide abstract
This paper describes the main functionalities of an integrated framework to model the interactions between land use, climate, and hydrology along with stakeholders’ negotiation. Its novelty lies in the combination of individual-based and spatially distributed models within the Socio-Hydrology paradigm to capture the complexity and uncertainty inherent to these systems. It encompasses a land-use/land-cover cellular automata model, an agent-based model used for automated stakeholders’ negotiation, and the hydrological MIKE SHE/MIKE 11 model, which are linked and can be accessed through a web-based interface. It enables users to run simulations to explore a wide range of scenarios related to land development and water resource management while considering the reciprocal influence of human and natural systems. This framework was developed with the involvement of key stakeholders from the initial design stage to the final demonstration and validation.
CONFERENCE-ARTICLE 6 Reads 0 Citations Forecasting Hydrological Processes under Combined Climate and Land-Use/Cover Change Scenarios Babak Farjad, Anil Gupta, Danielle Marceau Published: 24 November 2016
Proceedings of The 1st International Electronic Conference on Water Sciences, doi: 10.3390/ecws-1-a009
DOI See at publisher website ABS Show/hide abstract

The Elbow River watershed, located in the foothills of the Rocky Mountains, has experienced several extreme hydrological events such as droughts and floods over the last century. It is therefore critical to understand the future possible responses of the hydrological processes to changes in climate and land-use/land-cover (LULC) since they can induce considerable stress to the watershed along with economic and social costs. Very little attention has been given so far in the literature to the combined impact of climate and LULC change on hydrological processes at the watershed scale, which might result in an over- or under-estimation of the responses. This study was undertaken to investigate the responses of hydrological processes to the combined impact of climate and LULC change in the watershed in the 2020s and 2050s. The physically-based, distributed MIKE SHE/MIKE 11 model was coupled with a LULC cellular automata model to simulate hydrological processes using two extreme GCM-scenarios and two LULC change scenarios. Results reveal that LULC change is the dominant factor affecting the majority of the hydrological processes, especially streamflow, and that it plays a key role in amplifying a rise in flow discharge in the Elbow River. Evapotranspiration and infiltration are more strongly affected by both climate and LULC change in winter while streamflow is more impacted in the spring. The separated impacts of climate and LULC change on streamflow are positively correlated in winter and spring, which intensifies their influence. This is particularly the case in spring when the combined impact of climate and LULC results in a significant rise in streamflow, which may increase the vulnerability of the watershed to floods in this season. The flow duration curves (FDC) indicate that LULC change has a greater contribution to peak flows than climate change in both the 2020s and 2050s. This study highlights the importance of investigating the combined impact of climate and LULC change to avoid underestimating or overestimating water storage in the watershed.

Article 2 Reads 30 Citations Assessing the impact of future land-use changes on hydrological processes in the Elbow River watershed in southern Alber... G.N. Wijesekara, A. Gupta, C. Valeo, J.-G. Hasbani, Y. Qiao,... Published: 01 January 2012
Journal of Hydrology, doi: 10.1016/j.jhydrol.2011.04.018
DOI See at publisher website