
Amin SadeqiUniversity of Turku | UTU · Department of Geography and Geology
Amin Sadeqi
Master of Science
About
19
Publications
34,778
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17
Citations
Citations since 2017
Introduction
My research interests encompass studying climate change impacts and finding helpful solutions that will resolve this issue.
Additional affiliations
October 2020 - December 2020
Faradars Educational Institute
Position
- Lecturer
Description
- LARS-WG (stochastic weather generator) step-by-step and practical training https://faradars.org/courses/fvcvl9904-artificial-weather-generator-data-lars-wg
March 2020 - June 2020
Faradars Educational Institute
Position
- Lecturer
Description
- Project-based video tutorials on "Eureqa" an artificial intelligence software Link: https://faradars.org/courses/fvef9812-eureqa-formulize-data-modeling
December 2019 - January 2020
Cooperation Organization of Zanjan's Municipalities
Position
- Lecturer
Description
- Teaching "Water Resources Systems Analysis" Course for Municipal Employees
Education
September 2016 - September 2018
September 2012 - September 2016
Publications
Publications (19)
In northern regions, like Finland, peak river discharge is principally controlled by maximum snowmelt runoff during spring (March–May). Global warming and climate change extensively influence both the quantity and temporal characteristics of peak discharge in northern rivers by altering snowpack accumulation and melt processes. This study analyzed...
The hydrological cycle has been impacted by global warming, and this often has negative effects on water resources. In this study, snow depth (SD) along with other related meteorological indices was examined utilizing non-parametric tests (i.e., Mann-Kendall, Sen's estimator and Pettitt) during the period 1982-2018. The results showed that the SD s...
In this research, temporal trends and change points in heating degree-days (HDD), cooling degree-days (CDD), and their simultaneous combination (HDD + CDD) were analysed for a 60-year period (1960–2019) in Iran. The results show that less than 20% of the study stations had significant trends (either upward or downward) in HDD time series, while mor...
Global warming has become a major threat to life on the earth, and recognizing its impacts can definitely be useful in controlling and mitigating its adverse effects. In this study, time series variations in air temperature indices (frost days, Tmin, Tmax, Tmean, Tminmin, Tmaxmax, Tsoil-min), De Martonne aridity index (IDM), and total precipitation...
In this study, quantitative changes of groundwater resources were projected in Ardabil plain using HadGEM2-ES climatic output and Eureqa artificial intelligence tools for the three future periods (1418-1400, 1438-1420 and 1440-1458) under three emission scenarios (RCP2.6, RCP4.5 and RCP8.5). The results showed that the largest decrease in discharge...
In this study, rainfall and runoff data recorded of selected stations of Aras Boundary Basin were used to analyze rainfall and runoff fluctuations and they are projected for horizons, 2050. The Pettitt test was used to detect the breakpoint in rainfall and runoff time series. Trends in rainfall and runoff were also calculated using the original and...
In this research, projection of precipitation in the three distinct 20-years future periods (i.e. 2021-2040, 2041-2060, and 2061-2080) was performed using the LARS-WG6 statistical downscaling model. For this purpose, two scenarios of the IPCC fifth assessment report (namely RCP4.5 and RCP8.5) and MPI-ESM-MR general circulation model, which is known...
Accurate planning for adaptation to climate change is very important in each region. In this study, using the meteorological data of the six synoptic stations in the Ghezel Ozan basin in the period 1989-2016, and by employing the four GCM models, under the two scenarios RCP4.5 and RCP8.5, data were generated for the horizons 2050. Then, some parame...
Ghezel Ozan River Basin is one of the important basins in Iran, which supply people with grains requirements. The amount of potential reference crop evapotranspiration (ET0) was evaluated with RCP4.5 (low emission) and RCP8.5 (high emission) scenarios on the horizons 2030, 2050, and 2070. The output of four GCM models in CMIP5 and the LARS-WG6 stat...
In this study, monthly precipitation (mm), snow height (mm), maximum precipitation (mm), number of days with precipitation, and mean air temperature (ºC) of Zanjan Synoptic Station during the historical records (1982-2018) were used. Non-parametric Petit method was used to test the sudden change in time series of the studied parameters and to deter...
The excessive use of fossil fuels after the Industrial Revolution has increased the greenhouse gas emissions in the atmosphere. Greenhouse gases have greenhouse effect and cause global warming. Global warming has caused climate change. In this study, the climatic condition of the city of Zanjan has been investigated in the historical period and the...
In this study, data from the general circulation model MIROC5 based on two scenarios RCP4.5 (low emission) and RCP8.5 (high emission) on the horizons 2050 performed using LARS-WG6 a stochastic weather generator. For this purpose, daily records of Zanjan synoptic station were used during the 28-year period of 1989-2016. Then, potential reference cro...
Accurate projection of the impact of climate change on ET0 in the future is very important in agriculture. In this study, records of four climatic parameters including the minimum air temperature, maximum air temperature, precipitation, and sunshine hours in daily time scale (1989-2016) in the six selected stations namely Zanjan, Mianeh, Khalkhal,...
In this research, prediction of Tmin and Tmax in the future period (2021-2040, 2041-2060 and 2061-2080) performed using the LARS-WG6 statistical downscaling model. For this purpose, daily records of Zanjan synoptic station from 1981-2016 were used. For generating time series in the future periods, the three scenarios of the IPCC fifth assessment re...
In this research, prediction of Tmin and Tmax in the future period (2021-2040, 2041-2060 and 2061-2080) performed using the LARS-WG6 statistical downscaling model. For this purpose, daily records of Tabriz synoptic station from 1980-2015 were used. For generating time series in the future periods, the two scenarios of the IPCC fifth assessment repo...
Extension of human activities flowing industrial revolution let to increasing greenhouse gases in atmosphere considerably. In this research, prediction of T_max and T_min in the future period (2010-2030, 2046-2065 and 2080-2099) performed using the LARS-WG statistical downscaling model. For this purpose, daily records of Tabriz synoptic station fro...
Questions
Questions (17)
Several cities of Khuzestan have seen bloody protests for more than a week. Khuzestan is a fertile plain in southwestern Iran where a variety of agricultural products such as sugarcane and dates are grown. This province plays a key role in Iran's oil-based economy, as about 60% of Iran's oil reserves are located in this province. However, the people living in this province are struggling with many problems, which has made the migration rate in this province the highest in the whole country. In recent days, the water shortage has caused protests and street riots throughout this region.
Karun, the longest, most affluent and the only navigable river of Iran located in this province. Karkheh River is the third largest river in Iran also flowed in this province. It may seem unbelievable that such a water-rich province has a problem not just with agricultural water supply but also with drinking water. Iran's largest dams have been put into operation at great expense in this province. The transfer of water from Karun tributaries to the arid regions of central Iran has caused Karun to dry up. This water is used for large steel industries in the centre of the country and for drinking water supply in the cities of this region.
Karkheh Dam (one of the largest embankment dams in the world) has caused the shrinkage of Hur al-Azim wetland (also known as Hawizeh Marshes). The drying up of this wetland has caused a dust crisis in the area, among other environmental consequences. The dust pollution has made the city of Ahvaz, the capital of Khuzestan province, recognized by the World Health Organization as one of the most polluted cities in the world, which has caused respiratory problems for the residents of this city. Gotvand Dam is one of the largest dams in the region, which is known as an environmental disaster since it was built on a salt dome. The sewage problem of Ahvaz is also one of the serious problems of the residents of this city.
Unsustainable development is the main cause of environmental problems in this region. All these problems, along with poverty, unemployment and discrimination, have caused public dissatisfaction among the residents of this region.
Other factors have complicated the problems of Khuzestan. For example, most of the inhabitants of this region are Arabs and Sunnis. Former Iranian President Ahmadinejad has said in a recent interview that the Iranian government is not investing in infrastructure in the region for fear of independence.
Unprecedented protests that began in Khuzestan have now spread to other cities in Iran. Meanwhile, people from other cities have also taken to the streets to protest injustice and support the people of Khuzestan. A serious security concern has arisen from these protests.
The problems of Khuzestan are a clear instance of mismanagement and environmental degradation. These issues also exist in other parts of the country, for example, the drying up of Lake Urmia.
What do you think is the scientific and practical solution to get out of these great crises?
Please share your comments here.
You can refer to the following articles for more information:
Article Iran's Looming Water Crisis
Hello,
I hope you have a good time.
I work on a research project about temperature indices. Due to the high number of indices, I only work on tables and maps on an annual time scale. In other words, I do most of my analysis for the annual time scale. Now I want to draw a box plot for studied indices. It should be noted that I have access to daily data. Do you think, for example, I should plot the average air temperature box plot using daily data or annual data?
Also in the case of precipitation, is the box plot better drawn from daily data or annual data?
I am waiting for your answer. Also, it would be great if you could introduce some reference.
Thanks in advance for your answer.
Projects
Projects (2)
In this research, we study the effect of global warming on the energy consumption of the residential sector. And practical solutions to overcome global warming will be provided.
In this project prediction of precipitation in the future period (2021-2040, 2041-2060 and 2061-2080) will be performe using the LARS-WG statistical downscaling model. For this purpose, daily records of Tabriz synoptic station from 1980-2015 will be use. To generate time series for the future period, IPCC Fifth Report scenarios (RCP) and CMIP5 general circulation models will be use. Trends of precipitation in the future period will be analyze using the Mann-Kenedall method. The slope trend lines estimate using the sen’s slope.