Romina Sayahnia

Dr. Romina Sayahnia

Shahid Beheshti University, Tehran, Tehrān, Iran

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 May 2022 in Sustainable Cities and Society
Verified
Journal Article
Closed access
ZMZahra Mokhtari
Zahra Mokhtari
SBShahindokht Barghjelveh
Shahindokht Barghjelveh
RSRomina Sayahnia
Romina Sayahnia
PKPeyman Karami
Peyman Karami
SQSalman Qureshi
Salman Qureshi
Alessio RussoAlessio Russo
Alessio Russo

10 June 2021 in Mammalian Biology
Verified
Journal Article
Closed access
PDF file
EEElham Ebrahimi
Elham Ebrahimi
RSRomina Sayahnia
Romina Sayahnia
YRYasaman Ranjbaran
Yasaman Ranjbaran
SVSomaye Vaissi
Somaye Vaissi
FAFaraham Ahmadzadeh
Faraham Ahmadzadeh

1 September 2018 in Integrated Environmental Assessment and Management
Verified
Journal Article
Closed access
PDF file
HMHossein Mahmoudi
Hossein Mahmoudi
RSRomina Sayahnia
Romina Sayahnia
Hassan EsmaeilzadehHassan Esmaeilzadeh
Hassan Esmaeilzadeh
HAHossein Azadi
Hossein Azadi

26 July 2022 in Land
Verified
Journal Article
Open access
PDF file
ZMZahra Mokhtari
Zahra Mokhtari
SBShahindokht Barghjelveh
Shahindokht Barghjelveh
RSRomina Sayahnia
Romina Sayahnia
Salman QureshiSalman Qureshi
Salman Qureshi
Alessio RussoAlessio Russo
Alessio Russo
The dynamic and heterogeneity of the urban heat island (UHI) is the result of the interactions between biotic, physical, social, and built components. Urban ecology as a transdisciplinary science can provide a context to understand the complex social–biophysical issues such as the thermal environment in cities. This study aimed at developing a theoretical framework to elucidate the interactions between the social–biophysical patterns and processes mediating UHI. To do it, we conducted a theoretical review to delineate UHI complexity using the concept of dynamic heterogeneity of pattern, process, and function in UHI phenomenon. Furthermore, a hypothetical heterogeneity spiral (i.e., driver-outcome spiral) related to the UHI was conceived as a model template. The adopted theoretical framework can provide a holistic vision of the UHI, contributing to a better understanding of UHI’s spatial variations in long-term studies. Through the developed framework, we can devise appropriate methodological approaches (i.e., statistic-based techniques) to develop prediction models of UHI’s spatial heterogeneity.

29 September 2022 in Results in Engineering
Verified
Journal Article
Open access
AMAtefeh Mir
Atefeh Mir
PSParvaneh Sobhani
Parvaneh Sobhani
RSRomina Sayahnia
Romina Sayahnia

1 September 2022 in Journal of Landscape Ecology
Verified
Journal Article
Open access
PDF file
MKMostafa Keshtkar
Mostafa Keshtkar
ZMZahra Mokhtari
Zahra Mokhtari
RSRomina Sayahnia
Romina Sayahnia
Globally, urbanization changes land use/land cover (LULC) and alters ecosystem functions and services. Soil retention (SR) is a critical ecological service that is strongly related to LULC change. The topic of this study is assessment of LULC change on soil retention service (SRS) in a fragile seminatural-urbanized landscape of the Jajrood basin in Northern Tehran, Iran, from 2000 to 2020. To achieve the goal, the LULC maps and the other relevant datasets were imported into the Integrated Valuation of Ecosystem Services and Trade-offs tool (InVEST) using the Universal Soil Loss Equation (USLE). Calibration and validation were performed using Goodness-of-fit test for observational and modeled data. The results revealed that LULC change had both negative and positive effects on SR. The built-up area increased dramatically by about 133 percent, while the rangeland shrunk by approximately 5 % during the twenty-year, leading to an increase in soil erosion and reducing SR. On the other hand, the agricultural and gardening activities expanded by 41 %, which caused an increment in SR. Due to the outgrowth of man-made areas compared to the other land uses, the overall SR decreased by about 17,000 tons. Moreover, the result indicated that slope, elevation, and land management factors, respectively, had the highest correlation with SRS. The finding of this research can provide insight to land use planners to protect the areas with high soil erosion.