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    Using high-resolution climate models to identify climate change hotspots in the middle east: A case study of iran

    , Article Climate ; Volume 10, Issue 11 , 2022 ; 22251154 (ISSN) Sotoudeheian, S ; Jalilvand, E ; Kermanshah, A ; Sharif University of Technology
    MDPI  2022
    Abstract
    The adverse effects of climate change will impact all regions around the world, especially Middle Eastern countries, which have prioritized economic growth over environmental protection. However, these impacts are not evenly distributed spatially, and some locations, namely climate change hotspots, will suffer more from climate change consequences. In this study, we identified climate change hotspots over Iran—a developing country in the Middle East that is facing dire economic situations—in order to suggest pragmatic solutions for vulnerable regions. We used a statistical index as a representative of the differences in climatic parameters for the RCP8.5 and RCP4.5 forcing pathways between... 

    Exergy-based responsibility allocation of climate change

    , Article University Initiatives in Climate Change Mitigation and Adaptation ; 2018 , Pages 291-315 ; 9783319895901 (Online ISBN); 9783319895895 (Print ISBN) Khajehpour, H ; Saboohi, Y ; Tsatsaronis, G ; Sharif University of Technology
    Springer International Publishing  2018
    Abstract
    Climate change as a serious environmental issue has been subjected to many management studies. Yet the issue of allocating global responsibilities to emission reduction in a reasonable way is an unconcluded challenge. Two main groups of responsibility allocation systems are production-based responsibilities (PBR) and consumption-based responsibilities (CBR). PBR takes territorial emissions within borders into account that is applied to global policy makings by the Intergovernmental Panel on Climate Change (IPCC). In contrast, CBR considers the emission transfers through international trade and allocates the responsibilities based on the goods and services being consumed by each country. Both... 

    Effects of water level decline in Lake Urmia, Iran, on local climate conditions

    , Article Water (Switzerland) ; Volume 12, Issue 8 , 2020 Dehghanipour, A. H ; Moshir Panahi, D ; Mousavi, H ; Kalantari, Z ; Tajrishy, M ; Sharif University of Technology
    MDPI AG  2020
    Abstract
    Lake Urmia in northwestern Iran is the largest lake in Iran and the second largest saltwater lake in the world. The water level in Lake Urmia has decreased dramatically in recent years, due to drought, climate change, and the overuse of water resources for irrigation. This shrinking of the lake may affect local climate conditions, assuming that the lake itself affects the local climate. In this study, we quantified the lake's impact on the local climate by analyzing hourly time series of data on climate variables (temperature, vapor pressure, relative humidity, evaporation, and dewpoint temperature for all seasons, and local lake/land breezes in summer) for the period 1961-2016. For this, we... 

    Spatio-temporal variation of hydro-climatic variables and extreme indices over Iran based on reanalysis data

    , Article Stochastic Environmental Research and Risk Assessment ; Volume 36, Issue 11 , 2022 , Pages 3725-3752 ; 14363240 (ISSN) Malaekeh, S. M ; Safaie, A ; Shiva, L ; Tabari, H ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2022
    Abstract
    A comprehensive investigation of historical hydro-climatic changes at a county level is an essential prerequisite of developing any adaptation or mitigation strategies to deal with the destructive impacts of climate change. In this study, spatial distributions and trends in thirty-seven hydro-climatic mean and extreme indices across Iran were analyzed based on the state-of-the-art reanalysis datasets (ERA5-Land and AgERA5) at the county level from 1986 to 2015 using several nonparametric approaches such as multiple modified Mann–Kendall statistical tests and Sen’s Slope estimator. Their interannual oscillations were also examined using continuous wavelet transform to portray a complete... 

    Evaluating the performance of artificial neural network model in downscaling daily temperature, precipitation and wind speed parameters

    , Article International Journal of Environmental Research ; Vol. 8, issue. 4 , 2014 , p. 1223-1230 Shiehbeigi, A ; Abbaspour, M ; Soltaniyeh, M ; Hosseinzadeh, F ; Abedi, Z ; Sharif University of Technology
    Abstract
    Numerous studies yet have been carried out on downscaling of the large-scale climate data using both dynamical and statistical methods to investigate the hydrological and meteorological impacts of climate change on different parts of the world. This study was also conducted to investigate the capability of feedforward neural network with error back-propagation algorithm to downscale the provincial segmentation of Iran (30 provinces) on a daily scale. This model was proposed for the downscaling daily temperature, precipitation and wind speed data, and it was calibrated and verified by using the daily outputs derived from the National Center for Environmental Prediction (NCEP) database... 

    Climate change and hydropower in Iran's Karkheh River Basin

    , Article World Environmental and Water Resources Congress 2012: Crossing Boundaries, Proceedings of the 2012 Congress ; 2012 , Pages 3341-3349 ; 9780784412312 (ISBN) Abrishamchi, A ; Jamali, S ; Madani, K ; Hadian, S ; Sharif University of Technology
    ASCE  2012
    Abstract
    The Karkheh River Basin is one of the Iranian river basins with a high potential for hydropower production. While Iran is actively constructing large dams in the Basin for hydropower production, climate change is putting the future status of hydropower production in the Basin in question. Using MODSIM, sensitivity of the Basin to climate change is investigated by estimating stream flow changes and the resulting impacts on hydropower production for different climate change scenarios. Results indicate considerable reductions in annual and seasonal hydropower production due to the expected dry climatic conditions under the existing operation rules. Findings highlight the necessity for revision... 

    Balance between place attachment and migration based on subjective adaptive capacity in response to climate change: the case of Famenin County in Western Iran

    , Article Climate and Development ; Volume 11, Issue 1 , 2019 , Pages 69-82 ; 17565529 (ISSN) Khanian, M ; Serpoush, B ; Gheitarani, N ; Sharif University of Technology
    Taylor and Francis Ltd  2019
    Abstract
    The effects of climate change have disturbed the living patterns of many people around the globe during the past decade and it has been a key contributing factor to mass migrations. The ‘adaptation’ approach is currently considered the most effective available solution for balancing out these effects. As a result, many researchers are trying to find out how to increase the adaptive capacity of individuals and communities in response to the effects of climate change. The effect of place attachment as a factor which connects human societies to the surrounding environment is undeniable. In this regard, the present study attempts to analyse the role of place attachment in increasing the... 

    Balance between place attachment and migration based on subjective adaptive capacity in response to climate change: the case of Famenin county in western iran

    , Article Climate and Development ; 2017 , Pages 1-14 ; 17565529 (ISSN) Khanian, M ; Serpoush, B ; Gheitarani, N ; Sharif University of Technology
    Abstract
    The effects of climate change have disturbed the living patterns of many people around the globe during the past decade and it has been a key contributing factor to mass migrations. The ‘adaptation’ approach is currently considered the most effective available solution for balancing out these effects. As a result, many researchers are trying to find out how to increase the adaptive capacity of individuals and communities in response to the effects of climate change. The effect of place attachment as a factor which connects human societies to the surrounding environment is undeniable. In this regard, the present study attempts to analyse the role of place attachment in increasing the... 

    Regression-based regionalization for bias correction of temperature and precipitation

    , Article International Journal of Climatology ; Volume 39, Issue 7 , 2019 , Pages 3298-3312 ; 08998418 (ISSN) Moghim, S ; Bras, R. L ; Sharif University of Technology
    John Wiley and Sons Ltd  2019
    Abstract
    Statistical bias correction methods are inferred relationships between inputs and outputs. The constructed functions are based on available observations, which are limited in time and space. This study investigates the ability of regression models (linear and nonlinear) to regionalize a domain by defining a minimum number of training pixels necessary to achieve a good level of bias correction performance. Linear regression is used to divide northern South America into five regions. To correct the biases of temperature and precipitation, an artificial neural network (ANN) model was trained with selected pixels within each region and then used to reproduce bias-corrected temperature and... 

    Employee commitment to innovation performance: investigating the role of knowledge acquisition and knowledge sharing

    , Article International Journal of Systematic Innovation ; Volume 7, Issue 1 , 2022 , Pages 1-17 ; 20777973 (ISSN) Sedighi, M ; Sarcheshmeh, B. S ; Bagheri, R ; Sharif University of Technology
    Society of Sytematic Innovation  2022
    Abstract
    Organisational commitment is suggested as a remarkable variable in shaping employees’ attitudes toward knowledge management practices. Customer trust in services is established during a long-time relationship with a firm and improves the accuracy of information shared with employees. To put it in other words, customer trust is what a service company needs to maintain its competitive advantage. On the other hand, high employee turnover reflects a substantial loss of knowledge. In the present study, the impact of organisational commitment on employees’ retention, knowledge acquisition, and sharing was examined regarding the moderating roles of leader-member exchange and innovation climate. The... 

    Effects of Fluctuation in Urmia Lake Water Level on Local Climate of Basin

    , M.Sc. Thesis Sharif University of Technology Dehghanipour, Amir Hossien (Author) ; Tajrishi, Masoud (Supervisor)
    Abstract
    Saline and fresh water lakes comprise a high proportion of the surface water resources and take effects from climate, hydrological, geomorphological changes and human activities in their basins. Variation in area of lakes causes changes in weather and local climate of their basins. Due to high environmental value of lakes and their particular effects on the ecosystem of the region, they have been always center of attention. Lake Urmia as the greatest lake in IRAN and the second largest saline lake in the world always has been considered by many researchers. In recent years Lake Urmia has had many changes such as decrease in area and level. Various factors such as climate change, periodic... 

    A probabilistic climate change assessment for Europe

    , Article International Journal of Climatology ; Volume 42, Issue 13 , 2022 , Pages 6699-6715 ; 08998418 (ISSN) Moghim, S ; Teuling, A. J ; Uijlenhoet, R ; Sharif University of Technology
    John Wiley and Sons Ltd  2022
    Abstract
    Globally, the impacts of climate change can vary across different regions. This study uses a probability framework to evaluate recent historical (1976–2016) and near-future projected (until 2049) climate change across Europe using Climate Research Unit and ensemble climate model datasets (under RCPs 2.6 and 8.5). A historical assessment shows that although the east and west of the domain experienced the largest and smallest increase in temperature, changes in precipitation are not as smooth as temperature. Results indicate that the maximum changes between distributions of the variables (temperature and precipitation) mainly occur at extreme percentiles (e.g., 10% and 90%). A group analysis... 

    Reshaping energy policy for sustainable development: Curbing Iran’s carbon emission monster via renewable energies

    , Article Energy Sources, Part B: Economics, Planning and Policy ; Volume 11, Issue 9 , 2016 , Pages 830-840 ; 15567249 (ISSN) Eshraghi, H ; Maleki, A ; Sharif University of Technology
    Taylor and Francis Inc 
    Abstract
    This paper formulates flow of energy from primary resources and import routes to different socio-economic sectors by making use of Long-Range Energy Alternatives Planning (LEAP) model. It presents a baseline of how Iran’s future production and consumption patterns evolve. It also seeks plausible scenario for renewable energies utilization and evaluates its mitigation potential and economic aspects. Model results indicate that exploitation of a "not-too-strict" package of renewable sources featuring 10 GW of wind and 19 GW of hydro by the end of 2035 will lead to CO2 emissions to be reduced up to an amount of 190.7 million tons in the study period. By accounting for the opportunity costs... 

    Impact of climate variation on hydrometeorology in Iran

    , Article Global and Planetary Change ; Volume 170 , 2018 , Pages 93-105 ; 09218181 (ISSN) Moghim, S ; Sharif University of Technology
    Elsevier B.V  2018
    Abstract
    Results confirm that Iran like many countries is affected by high climate variability, which has influenced hydroclimatological variables such as temperature, evaporation, precipitation, runoff, and radiation. This study uses Global Land Data Assimilation System (GLDAS) data to assess hydrological cycle changes in Iran during a long period (Jan1948-Jan2017). Results show that hydrometeorological variables have significant changes (p-value<.01) during the period of 2010–2017 relative to the baseline period (2004–2009). Most extreme values of these variables including temperature, evaporation, precipitation, wind, and downward longwave radiation occurred recently (in 2015 to 2017). The average... 

    Using Water Trading to Address Water Supply Challenges in the Face of Climate Change

    , M.Sc. Thesis Sharif University of Technology Ansari, Meysam (Author) ; Abrishamchi, Ahmad (Supervisor)
    Abstract
    There is increasing demand for water due to rising world population. In addition, lower supplies of water under varying hydrological condition because of changing climate, renders further stress on an already over-allocated water resource. Thus, this condition would exacerbate water supply-demand conflicts resulting in penalties on local economy. On the other hand fresh water as a scarce resource requires comprehensive management. To maintain fresh water resources, systems need principles of ecologically sustainable development that keeps environmental uses as legal. Hence, in this situation there is a need to develop appropriate methods to minimize the climate change consequences and... 

    Performance of the general circulation models in simulating temperature and precipitation over Iran

    , Article Theoretical and Applied Climatology ; Volume 135, Issue 3-4 , 2019 , Pages 1465-1483 ; 0177798X (ISSN) Abbasian, M ; Moghim, S ; Abrishamchi, A ; Sharif University of Technology
    Springer-Verlag Wien  2019
    Abstract
    General Circulation Models (GCMs) are advanced tools for impact assessment and climate change studies. Previous studies show that the performance of the GCMs in simulating climate variables varies significantly over different regions. This study intends to evaluate the performance of the Coupled Model Intercomparison Project phase 5 (CMIP5) GCMs in simulating temperature and precipitation over Iran. Simulations from 37 GCMs and observations from the Climatic Research Unit (CRU) were obtained for the period of 1901–2005. Six measures of performance including mean bias, root mean square error (RMSE), Nash-Sutcliffe efficiency (NSE), linear correlation coefficient (r), Kolmogorov-Smirnov... 

    On the fair accounting of carbon emissions in the global system using an exergy cost formation concept

    , Article Journal of Cleaner Production ; Volume 280 , 2021 ; 09596526 (ISSN) Khajehpour, H ; Saboohi, Y ; Tsatsaronis, G ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    Carbon accounting is necessary for designing effective climate change mitigation policies. A proper and fair accounting method should motivate both the producers toward cleaner production methods and the consumers toward reducing the embodied emissions of their consumption. This research work proposes a new approach to map the production chain of carbon emissions in which every subsystem is responsible for the level and efficiency of its production activities and embodied emissions for providing its economic activities or final demands. The exergy cost formation concept is used to track the emissions in the production chain. The results of this accounting present the total carbon loads on... 

    Article an estimation of the anthropogenic heat emissions in darwin city using urban microclimate simulations

    , Article Sustainability (Switzerland) ; Volume 14, Issue 9 , 2022 ; 20711050 (ISSN) Rajapaksha, S ; Nnachi, R. C ; Tariq, M. A. U. R ; Ng, A. W. M ; Abid, M. M ; Sidiqui, P ; Rais, M. F ; Aamir, E ; Diaz, L. H ; Kimiaei, S ; Mehdizadeh Rad, H ; Sharif University of Technology
    MDPI  2022
    Abstract
    The energy consumption due to urbanization and man-made activities has resulted in production of waste, heat, and pollution in the urban environment. These have further resulted in undesirable environmental issues such as the production of excessive Anthropogenic Heat Emissions (AHE), thus leading to an increased Urban Heat Island (UHI) effect. The aim of this study was to estimate the total AHE based on the contribution of three major sources of waste heat generation in urban environment, i.e., buildings, vehicular traffic, and human metabolism. Furthermore, a comparison of dominating anthropogenic heat factor of Darwin with that of other major international cities was carried out. Field... 

    Investigation of Dust-Causing Factors in Western Iran and Its Effects on Climate Changes

    , M.Sc. Thesis Sharif University of Technology Kermanshah, Amirhassan (Author) ; Agha Mohammad Hossein Tajrishi, Massoud (Supervisor)
    Abstract
    study has been divided into two main sections. In the first section, six climate variables have been analyzed in 15 synoptic stations in Iran’s west region through parametric and non-parametric statistical tests in order to find the climate varibility. The results illustared that, in general, there is no climate variability in the western part of Iran. Investigation of climatic indices and changes in the meteorological data in the entire study area (including a large portion of Middle East), in a 30 year period (1979-2008), is eloquent of a drought during the last 10 years of the period. In the second section, by means of the Aerosoal Index (AI) extracted from TOMS and OMI tools, it was... 

    Carbon Capture & Storage Deployment in Iran

    , Article Energy Procedia ; Volume 37 , 2013 , Pages 7492-7501 ; 18766102 (ISSN) Banan, Z ; Maleki, A ; Sharif University of Technology
    2013
    Abstract
    Based on International Energy Agency studies, achievement of 450 ppm CO2-equivalent emission target in global emission means that the CO2 emissions in 2050 must be reduced to %50 of 2005 level, and this implies that a portfolio of emission reduction policies and strategies need to be exploited through current century. At the present time, Carbon Capture and Storage (CCS) Technology is a dominant strategy among all the long-term carbon abatement strategies in many countries. Nevertheless, its potential as a climate mitigating option will be proved, only if it is implemented in the countries which are developing at a great pace and taking advantage of fossil fuels in order to afford their...