Masoud Soleimani
Department of Remote Sensing and GIS, University of Tehran, Tehran, Tehrān, Iran
PhD student in remote sensing
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Academic Career Length
6Years (2021-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications20 June 2022 in Ecological Informatics
Journal Article
RPRamin Papi
Ramin Papi
AKA.A. Kakroodi
A.A. Kakroodi
Masoud SoleimaniLKLeyla Karami
Leyla Karami
FAFatemeh Amiri
Fatemeh Amiri
SASeyed Kazem Alavipanah
Seyed Kazem Alavipanah
23 March 2022 in Atmospheric Research
Journal Article
ABAli Darvishi Boloorani
Ali Darvishi Boloorani
MNMohammad Saeed Najafi
Mohammad Saeed Najafi
Masoud SoleimaniRPRamin Papi
Ramin Papi
OTOmid Torabi
Omid Torabi
Journal Article
Ali Darvishi BolooraniMasoud Soleimani
Najmeh Samani NeisaniMBMohsen Bakhtiari
Mohsen BakhtiariMQMasomeh Qareqani
Masomeh QareqaniSMSaham Mirzaei
Saham Mirzaei +1
Climate-related hazards such as sand and dust storms (SDS) have various impacts on human health, socio-economy, environment, and agroecosystems. Iran has been severely affected by domestic and external SDS during the last two decades. Considering the fragile economy of Iran’s rural areas and the strong dependence of livelihood on agroecosystems, SDS cause serious damage to human communities. Therefore, there is an urgent need to conduct a vulnerability assessment for developing SDS risk mitigation plans. In this study, various components of SDS vulnerability were formulated through a geographic information system (GIS)-based integrated assessment approach using composite indicators. By implementing a GIS multiple-criteria decision analysis (GIS-MCDA) model using socioeconomic and remote sensing data, a map of rural vulnerability to SDS was produced. Our results show that about 37% of Iran’s rural areas have experienced high and very high levels of vulnerability to SDS. Rural areas in the southeast and south of Iran, especially Sistan and Baluchestan and Hormozgan provinces are more vulnerable to SDS. The findings of this study provide a basis for developing SDS disaster risk-reduction plans and enabling the authorities to prioritize SDS mitigation policies at the provincial administrative scale in Iran.
1 March 2023
Book Chapter
Ali Darvishi BolooraniMasoud SoleimaniRPRamin Papi
Ramin PapiNajmeh Samani NeisaniPTPari Teymouri
Pari TeymouriZSZahra Soleimani
Zahra Soleimani18 November 2022 in Remote Sensing Applications: Society and Environment
Journal Article
ABAli Darvishi Boloorani
Ali Darvishi Boloorani
RPRamin Papi
Ramin Papi
Masoud Soleimani
Ali Al-HemoudFAFatemeh Amiri
Fatemeh Amiri
SMSaham Mirzaei
Saham Mirzaei
+3
12 December 2022 in Hydrological Sciences Journal
Journal Article
Ali Darvishi BolooraniSMSajad Najafi Marghmaleki
Sajad Najafi MarghmalekiMasoud SoleimaniRPRamin Papi
Ramin PapiHMHamid Kardan Moghaddam
Hamid Kardan MoghaddamNajmeh Samani NeisaniThe exploitation of the water from the Main Outfall Drain (MOD) canal together with the water from the Tigris River can be considered as an effective solution to reduce the water consumption from the Tigris River by Iraq’s agricultural sector. This extra outflow can be used to restore Hawizeh Marsh and improve/control the consequent environmental problems (including dust storms) across the region. Accordingly, this study presents an efficient water resource management framework based on game theory model to calculate the amount of agricultural drainage water available for exploit in MOD, which can be integrated with the Tigris River water for agricultural irrigation. Different conjunctive water use scenarios were evaluated through a non-cooperative game theory model. The proposed optimum scenarios, in addition, to supplying this wetland’s water rights and consequently mitigating its environmental problems, can also perfectly meet the water demand of farmers in terms of both quantity and quality.
About Me
I am a remote sensing and geoinformatics specialist at the Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran with extensive experience in modeling environmental hazards, including dust storms, droughts, land subsidence, and land degradation. I am highly skilled in leveraging satellite remote sensing data, artificial intelligence, and Geographic Information Systems (GIS) for environmental analysis, risk assessment, hazard, and vulnerability studies. I have been involved in numerous national and international projects focusing on dust storm management, disaster risk reduction, desertification control, and sustainable water resources management. My collaborations include projects funded by the Iranian authorities (e.g., the Natural Resources and Watershed Management Organization (NRWO), Ministry of Energy, National Disaster Management Organization (NDMO), Natural Disasters Research Institute (NDRI), and Iran Water & Power Resources Development Co.), the Food and Agriculture Organization (FAO), and the United Nations Convention to Combat Desertification (UNCCD). I have co-authored nearly 20 papers in international scientific journals, and my recent works have focused on modeling, monitoring, and assessing the far-reaching impacts of climate change, particularly dust storms.