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iran
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Comparison of statistical and MCDM approaches for flood susceptibility mapping in northern Iran
, Article Journal of Hydrology ; Volume 612 , 2022 ; 00221694 (ISSN) ; Ataie Ashtiani, B ; Hosseini, S. M ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Accurate mapping of flood risk areas is the basis for providing basic information on flood hazard reduction strategies and facilitates the relocation process. This study compared statistical approaches and multi-criteria-decision-making (MCDM) in flood hazard susceptibility mapping (FHSM). The performance of two statistical methods, the Evidential Belief Function (EBF) and Weight of Evidence (WOE), was compared with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) as an MCDM technique. Mohammad-Abad catchment, known as one of the flood susceptible areas in northern Iran, was selected as a case study. A 100-year flood event with a peak flow of 85 m3/s, known as...
Application of unmanned aerial vehicle Dem in flood modeling and comparison with global dems: case study of atrak river basin, Iran
, Article Journal of Environmental Management ; Volume 317 , 2022 ; 03014797 (ISSN) ; Khojeh, S ; Hosseini, S. M ; Jouybari Moghadam, Y ; Sharif University of Technology
Academic Press
2022
Abstract
Digital Elevation Models (DEMs) play a significant role in hydraulic modeling and flood risk management. This study initially investigated the effect of Unmanned Aerial Vehicle (UAV) DEM resolutions, ranging from 1 m to 30 m, on flood characteristics, including the inundation area, mean flow depth, and mean flow velocity. Then, the errors of flood characteristics for global DEMs, comprising ALOS (30 m), ASTER (30 m), SRTM (30 m), and TDX (12 m) were quantified using UAV DEM measurements. For these purposes, the HEC-RAS 2D model in steady-state conditions was used to simulate the flood with return periods of 5- to 200 years along 20 km reach of Atrak River located in northeastern Iran....
An emission inventory update for Tehran: The difference between air pollution and greenhouse gas source contributions
, Article Atmospheric Research ; Volume 275 , 2022 ; 01698095 (ISSN) ; Abolmaali, A. M ; Alizadeh, H ; Salavati, H ; Zokaei, H ; Zandavi, R ; Torbatian, S ; Yazgi, D ; Hosseini, V ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Many highly populated cities are still struggling to reach clean air targets, while the zero greenhouse gas emission objectives may accelerate the path toward healthy air for all. Still, there is a fine line between intensive electrification's impact on greenhouse gas emissions and criteria air contaminants depending on the source of the electricity. In this study, the previous version of the emission inventory for Tehran was evaluated and re-calculated in a detailed bottom-up approach to provide the most updated data on the contribution of stationary sources derived by power plants vs. mobile sources. The objectives were to update the emission inventory for improved policymaking, study the...
Modeling and techno-economic study of a solar reverse osmosis desalination plant
, Article International Journal of Environmental Science and Technology ; Volume 19, Issue 9 , 2022 , Pages 8727-8742 ; 17351472 (ISSN) ; Hajialigol, P ; Boroushaki, M ; Shafii, M. B ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
In this research, the design of a solar reverse osmosis desalination plant was investigated by integrating various components using TRNSYS and ROSA software. To this goal, a two-stage reverse osmosis system with 50% recovery in the city of Chabahar was modeled. The calculations were performed in three different case studies, i.e., a photovoltaic power plant, a solar collector power plant with Organic Rankine Cycles, and a photovoltaic thermal power plant with Organic Rankine Cycles, with the reverse osmosis desalination plant being a novel investigation. Water production and electrical energy generation of each case study were evaluated both on a daily and yearly bases. The simulation...
How do the smart travel ban policy and intercity travel pattern affect COVID-19 trends? Lessons learned from Iran
, Article PLoS ONE ; Volume 17, Issue 10 October , 2022 ; 19326203 (ISSN) ; Mohammadpour, S. I ; Dahaghin, M ; Sharif University of Technology
Public Library of Science
2022
Abstract
COVID-19, as the most significant epidemic of the century, infected 467 million people and took the lives of more than 6 million individuals as of March 19, 2022. Due to the rapid transmission of the disease and the lack of definitive treatment, countries have employed non-pharmaceutical interventions. This study aimed to investigate the effectiveness of the smart travel ban policy, which has been implemented for non-commercial vehicles in the intercity highways of Iran since November 21, 2020. The other goal was to suggest efficient COVID-19 forecasting tools and to examine the association of intercity travel patterns and COVID-19 trends in Iran. To this end, weekly confirmed cases and...
Modeling the accuracy of traffic crash prediction models
, Article IATSS Research ; Volume 46, Issue 3 , 2022 , Pages 345-352 ; 03861112 (ISSN) ; Keshavarz, S ; Pazari, P ; Safahieh, N ; Samimi, A ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Crash forecasting enables safety planners to take appropriate actions before casualty or loss occurs. Identifying and analyzing the attributes influencing forecasting accuracy is of great importance in road crash forecasting. This study aims to model the forecasting accuracy of 31 provinces using their macroeconomic variables and road traffic indicators. Iran's road crashes throughout 2011–2018 are calibrated and cross-validated using the Holt-Winters (HW) forecasting method. The sensitivity of crash forecast reliability is studied by a regression model. The results suggested that the root mean square error (RMSE) of crash prediction increased among the provinces with higher and more variant...
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) ; 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...
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) ; 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...
Prioritizing strategic innovative energy technologies for development by a novel fuzzy approach based on distances from ideals (Case study: Upstream technologies of Iran's oil industry fields)
, Article Energy Reports ; Volume 8 , 2022 , Pages 362-376 ; 23524847 (ISSN) ; Maleki, A ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Previous empirical research about the functions of innovative systems has been less enabled to present practical strategies for managers’ decisions. This paper aims to determine the boundaries of the innovation system in the oil industry by prioritizing strategic innovative upstream technologies for policy-making and commercializing within the framework of energy technological innovation systems. This paper proposes a novel fuzzy approach based on distance from ideals to scrutinize the effects of effective criteria on the policy-making process and rank new and essential technologies in various fields. The developed fuzzy Technique for Order of Preference by Similarity to Ideal Solution...
Effects of COVID-19-related psychological distress and anxiety on quality of sleep and life in healthcare workers in Iran and three European countries
, Article Frontiers in Public Health ; Volume 10 , 2022 ; 22962565 (ISSN) ; Tahvilian, P ; Koohestani, S ; Maghooli, K ; Jafarnia Dabanloo, N ; Sarhangi Kadijani, M ; Jahantigh, S ; Zangeneh Soroush, M ; Saliani, A ; Sharif University of Technology
Frontiers Media S.A
2022
Abstract
Introduction: The COVID-19 pandemic has considerably affected human beings most of whom are healthcare workers (HCWs) combating the disease in the front line. Methods: This cross-sectional study aims to explore the effects of stress and anxiety caused by COVID-19 on the quality of sleep and life in HCWs, including physicians, nurses, and other healthcare staff. In this global study, we asked 1,210 HCWs (620 and 590 volunteers from Iran and European countries, including Germany, the Netherlands, and Italy, respectively), who age 21–70, to participate in the test. Several measures of COVID-related stress, anxiety, sleep, and life quality, including the 12-item General Health Questionnaire...
A novel variant in TLE6 is associated with embryonic developmental arrest (EDA) in familial female infertility
, Article Scientific Reports ; Volume 12, Issue 1 , 2022 ; 20452322 (ISSN) ; Mohebi, M ; Berjis, K ; Ghahremani, A ; Modarresi, M. H ; Ghafouri Fard, S ; Sharif University of Technology
Nature Research
2022
Abstract
This study aims to identify genetic causes of familial female infertility characterized by embryonic developmental arrest (EDA) and repeated implantation failure (RIF) with oocyte donation IVF cycle. We used Whole-exome sequencing and Sanger validation to find causative genes in an Iranian consanguineous family that had 3 infertile daughters, 4 fertile daughters, and 2 fertile sons. All patients in this consanguineous family exhibited typical manifestations of unexplained RIF and EDA. Genetic analysis identified a homozygous missense variant (c.G1054C:p.G352R) in exon 13 of the TLE6 gene that cosegregated with the EDA phenotype in an autosomal recessive pattern. Other members of the family,...
Projection of passenger cars’ air pollutants and greenhouse gas emissions and fuel consumption in Tehran under alternative policy scenarios
, Article Case Studies on Transport Policy ; Volume 10, Issue 4 , 2022 , Pages 2195-2207 ; 2213624X (ISSN) ; Maleki, A ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Passenger cars (PCs) are a major contributor to urban air pollution, greenhouse gas emissions, and energy security challenges in megacities in developing countries because of their high growth potential. Since the PC fleet changes through time, the projection of air pollutant emissions from PCs is essential for effective emission reduction policymaking. However, the extensive amount of data and proper models are required for this purpose that are not available in many developing countries. Hence, this study develops multiple econometric and emission models and integrate them into a framework to simulate the future stock and activity of PCs and projects PCs’ air pollutants and CO2 emissions...
Downscaling of the flood discharge in a probabilistic framework
, Article Journal of Hydro-Environment Research ; Volume 43 , 2022 , Pages 10-21 ; 15706443 (ISSN) ; Gharehtoragh, M. A ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Many modeled and observed data are in coarse resolution, which are required to be downscaled. This study develops a probabilistic method to downscale 3-hourly runoff to hourly resolution. Hourly data recorded at the Poldokhtar Stream gauge (Karkheh River basin, Iran) during flood events (2009–2019) are divided into two groups including calibration and validation. Statistical tests including Chi-Square and Kolmogorov–Smirnov test indicate that the Burr distribution is proper distribution functions for rising and falling limbs of the floods’ hydrograph in calibration (2009–2013). A conditional ascending/descending random sampling from the constructed distributions on rising/falling limb is...
Quantifying the uncertainty of lake-groundwater interaction using the forward uncertainty propagation framework: The case of Lake Urmia
, Article Journal of Hydrology ; Volume 610 , 2022 ; 00221694 (ISSN) ; Danesh Yazdi, M ; Sharif University of Technology
Elsevier B.V
2022
Abstract
The interaction between a lake and groundwater has important implications to the quantity and quality of water in both environments. Quantification of lake-groundwater interaction (LGI) has been challenging in regions with limited in-situ data. LGI can be quantified by physically-based models, direct measurement of seepage, measurements of conservative chemical or isotopic tracers, and lake water balance. Despite the accuracy of the methods based on hydrochemical or isotopic measurements and analysis, they require extensive field data that are costly to collect in large lakes. Instead, the data required to quantify LGI by the lake water budget method can be obtained via typical ground...
Promoting the adoption of residential water conservation behaviors as a preventive policy to sustainable urban water management
, Article Journal of Environmental Management ; Volume 313 , 2022 ; 03014797 (ISSN) ; Tabesh, M ; Yazdanpanah, M ; Zobeidi, T ; Raoof, M. A ; Sharif University of Technology
Academic Press
2022
Abstract
As concerning with water insecurity driven by water scarcity threatens the lives and livelihoods of humanity worldwide, urban water demand management is focused on promoting residential water conservation behaviors (WCBs) as a critical policy response to water scarcity. However, urban water conservation initiatives cannot be successful unless households involve in residential WCBs voluntarily by adopting water curtailment and/or water-efficiency actions. Thus, understanding motivations and mechanisms underlying accepting these two types of WCBs and interpreting their distinctions are primary policy considerations to make sustainable water consumption behaviors. Hence, the purpose of this...
Effect of DEM resolution in flood modeling: a case study of Gorganrood River, Northeastern Iran
, Article Natural Hazards ; Volume 112, Issue 3 , 2022 , Pages 2673-2693 ; 0921030X (ISSN) ; Ataie Ashtiani, B ; Hosseini, S. M ; Sharif University of Technology
Springer Science and Business Media B.V
2022
Abstract
This study evaluated the efficiency of different Digital Elevation Models (DEMs), including ALOS-12.5 m, SRTM-30 m, SRTM-90 m, and ASTER-30 m v3 when being applied for the hydraulic simulation of flood inundation areas. HEC-RAS-2D model was employed to simulate inundation extent of a 400-year flood (Mar 17, 2019, with peak discharge ~ 547.92 m3/s) along 70 km reach of low-gradient Gorganrood River, northeastern Iran. Fit percentage indicator (FI) and BIAS percentage indicator (BI) were used to evaluate the results in comparison with the remotely sensed inundated area data. The results revealed that the accuracy and capability of the ALOS and SRTM-30 m were higher in simulation of flood...
New hybrid multi criteria decision making method for offshore windfarm site location in Persian Gulf, Iran
, Article Ocean Engineering ; Volume 256 , 2022 ; 00298018 (ISSN) ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Choosing the right location for the sustainable development of offshore wind energy plays an important role in the success of renewable projects. In this regard, in the present study, a new application of the hybrid Fuzzy-SWARA & Fuzzy-WASPAS method was presented to prioritize the suitable area for developing offshore wind projects. For a case study, five regions with high potential for offshore wind energy in the Persian-Gulf have been investigated. Economic assessment was evaluated using the Levelized Cost of energy method. Evaluation of offshore wind farms has been analyzed from various aspects including technical, economic, social, environmental and risk. The SWARA was used for weighting...
Diagnosis of brucellosis disease using data mining: A case study on patients of a hospital in Tehran
, Article Journal of Microbiological Methods ; Volume 199 , 2022 ; 01677012 (ISSN) ; Jafari, S ; Khavaninzadeh, M ; Shavandi, A ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Background: Brucellosis is a common zoonotic infection of humans from livestock. This bacterial infection is acquired from infected animals and their products. The pathogen of this disease is a genus of bacilli called Brucella, and no effective vaccine has been discovered yet for the prevention of human brucellosis. Objectives: The present study is mainly conducted to diagnose brucellosis accurately and timely, using Data Mining techniques. Based on the knowledge discovered with Data Mining and opinions of specialist physicians, this study aims to propose instructions for diagnosing brucellosis. Materials and methods: The dataset used in this study contains 340 samples and is extracted from...
Digital divides,the Internet and social media uses among Afghans in Iran
, Article Technology in Society ; Volume 70 , 2022 ; 0160791X (ISSN) ; Eyvazlu, D ; Junnila, J ; Virnes, A ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
The studies on forced migrants' digitally mediated communication and transnational practices have not sufficiently addressed contexts in which migrants are imposed with strong regulations on their physical mobility and information and communication technology (ICT), Internet, and social media uses. This article studied Internet and social media uses, digital divides (access, use, and the impact of Internet and social media), and digital transnational practices among Afghans in Iran. More than three million Afghans live in different legal, economic, and social positions in Iran. The analysis was based on surveys with 2003 Afghan refugees, other legally authorized Afghan immigrants, and...
Quantifying the impacts of agricultural alteration and climate change on the water cycle dynamics in a headwater catchment of Lake Urmia Basin
, Article Agricultural Water Management ; Volume 270 , 2022 ; 03783774 (ISSN) ; Danesh Yazdi, M ; Sharif University of Technology
Elsevier B.V
2022
Abstract
The rapid shrinkage of Lake Urmia over the past two decades has raised serious environmental concerns. Several restoration plans have been proposed to reduce agricultural water consumption to supply a remarkable fraction of the lake's environmental flow requirement. However, an accurate and realistic evaluation of the effectiveness of these plans in reducing agricultural water consumption across the basin is still poorly understood. This study assessed the water-saving potential of agricultural alteration in a snow-dominated catchment in the Lake Urmia Basin. In particular, we explored the impact of crop pattern alteration via reducing the cultivation area and employing different irrigation...