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Babak Farjad   Dr.  Other 
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Babak Farjad published an article in November 2017.
Top co-authors
Danielle Marceau

18 shared publications

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

Anil Gupta

3 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

Majeed Pooyandeh

1 shared publications

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

Mohammad Motamedi

1 shared publications

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

8
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26
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29
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Publication Record
Distribution of Articles published per year 
(2013 - 2017)
Total number of journals
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7
 
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Article 5 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
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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.
Article 1 Read 5 Citations An Integrated Modelling System to Predict Hydrological Processes under Climate and Land-Use/Cover Change Scenarios Babak Farjad, Anil Gupta, Saman Razavi, Monireh Faramarzi, D... Published: 09 October 2017
Water, doi: 10.3390/w9100767
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This study proposes an integrated modeling system consisting of the physically-based MIKE SHE/MIKE 11 model, a cellular automata model, and general circulation models (GCMs) scenarios to investigate the independent and combined effects of future climate and land-use/land-cover (LULC) changes on the hydrology of a river system. The integrated modelling system is applied to the Elbow River watershed in southern Alberta, Canada in conjunction with extreme GCM scenarios and two LULC change scenarios in the 2020s and 2050s. Results reveal that LULC change substantially modifies the river flow regime in the east sub-catchment, where rapid urbanization is occurring. It is also shown that the change in LULC causes an increase in peak flows in both the 2020s and 2050s. The impacts of climate and LULC change on streamflow are positively correlated in winter and spring, which intensifies their influence and leads to a significant rise in streamflow, and, subsequently, increases the vulnerability of the watershed to spring floods. This study highlights the importance of using an integrated modeling approach to investigate both the independent and combined impacts of climate and LULC changes on the future of hydrology to improve our understanding of how watersheds will respond to climate and LULC changes.
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
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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.

CONFERENCE-ARTICLE 7 Reads 0 Citations <span>Impact of climate change on groundwater resources </span><span><span>in five plains of a semi-arid region: uncerta... Atie Hosseinizadeh, Heidar Zareie, Ali M AkhondAli, Hesam Se... Published: 22 November 2016
Proceedings of The 1st International Electronic Conference on Water Sciences, doi: 10.3390/ecws-1-a002
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Understanding the hydrogeology of aquifers is fundamental to the management of groundwater resources especially in arid and semi-arid regions. However, understanding the responses of hydrogeological processes to climate change is complicated since climate change can affect hydrogeological processes directly and indirectly. This study aims at implementing a physically-based groundwater model to investigate the effects of climate change on groundwater system under fifteen General Circulation Models (GCMs) in a semi-arid region for the period of 2020-2044. A nonparametric method, Probability Density Function (PDF) estimator, was used to quantify the level of uncertainties in the simulations. The methodology was applied in an area of 2073 Kmin south-west Iran, consist of five plains; Western Dez, eastern Dez, Sabili, Deymche and Lor. Results indicate that there is a decline in recharge in April, May, June, and October. The range of changes in recharge were determined between -%10 and +%13 in the Sabili plain, -%6 and +%10 in the Deymche plain, -%4 and +%10 in the western-Dez plain, -%6 and +%26 in the eastern-Dez plain, -%40 and +%100 in the Lor plain. The most significant decline in groundwater level occurs in the Sabili plain in September. The largest uncertainty in simulation of recharge under GCM scenarios was determined in August, September, and December.

Article 2 Reads 5 Citations Annual and Seasonal Variations of Hydrological Processes Under Climate Change Scenarios in Two Sub-Catchments of a Compl... Babak Farjad, Anil Gupta, Danielle J. Marceau Published: 15 April 2016
Water Resources Management, doi: 10.1007/s11269-016-1329-3
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Article 3 Reads 8 Citations Impact of climate change on the severity, duration, and frequency of drought in a semi-arid agricultural basin Atie Hosseinizadeh, Hesam SeyedKaboli, Heidar Zareie, Ali Ak... Published: 05 September 2015
Geoenvironmental Disasters, doi: 10.1186/s40677-015-0031-8
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Background Climate change is one of the greatest threats facing the world today and future generations. A change in climate can alter the frequency and duration of drought especially in arid and semi-arid regions. This study aims at investigating the impact of climate change on the severity, duration, and frequency of drought in a semi-arid agricultural basin in Khuzestan, Iran. Results The largest increases in duration of drought occur for the normal (SPI < -0.5) and extreme (SPI < -2) conditions while the largest increases in frequency of drought occur under the warmer and drier climate scenario in the western portion of the basin. The frequency of moderate (SPI < -1) and severe (SPI < -1.5) droughts decreases under all scenarios whereas most scenarios show an increase in the frequency of extreme (SPI < -2) drought. Conclusions This study applied the Standardized Precipitation Index (SPI) along with a combination of GCM-scenarios to create the severity-duration-frequency (SDF) curves of drought for the period 2020-2044. An average period of six months (ending in May) was used for the SPI, corresponding to the agricultural growing season of the region, to assess drought conditions under five plausible climate scenarios. The selected GCM-scenarios were GISS-ER A1B (warmer and drier), CSIROMk3.5 B1 (cooler and drier), INGV-SXG A1B (median conditions), ECHO-G A2 (warmer and wetter) and ECHAM5 B1 (cooler and wetter) and they were downscaled with an Artificial Neural Network (ANN) approach. Results reveal that most scenarios exhibit an increase in the duration of extreme drought while the duration of moderate drought decreases under all scenarios. The largest increases in the frequency of extreme droughts occur in the western portion of the basin in response to the warmer and drier climate scenario. An increase in the number of extreme (SPI < -2) drought conditions with a longer duration can influence the growing season.
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