F
Fahimeh Mirchooli
Researcher at Tarbiat Modares University
Publications - 13
Citations - 252
Fahimeh Mirchooli is an academic researcher from Tarbiat Modares University. The author has contributed to research in topics: Watershed & Environmental science. The author has an hindex of 3, co-authored 7 publications receiving 120 citations.
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Journal ArticleDOI
Spatial modelling of gully erosion in Mazandaran Province, northern Iran
Mohsen Zabihi,Fahimeh Mirchooli,Alireza Motevalli,Abdulvahed Khaledi Darvishan,Hamid Reza Pourghasemi,Mohamad Ali Zakeri,Fatemeh Sadighi +6 more
TL;DR: In this paper, the spatial distribution of gully erosion and its susceptibility zonation was studied using different bivariate statistical models, such as frequency ratio (FR), weights of evidence (WofE), and index of entropy (IofE).
Journal ArticleDOI
Spatial distribution dependency of soil organic carbon content to important environmental variables
Fahimeh Mirchooli,Mahboobeh Kiani-Harchegani,Abdulvahed Khaledi Darvishan,Samereh Falahatkar,Seyed Hamidreza Sadeghi +4 more
TL;DR: In this paper, the relationship between soil organic carbon (SOC) and remotely sensed and easily accessible variables have been rarely reported, and the main objective of the present study is to estimate SOC using the remote sensing of satellite images as well as some field variables for the Shazand Watershed, Iran.
Journal ArticleDOI
Gully erosion susceptibility mapping (GESM) using machine learning methods optimized by the multi‑collinearity analysis and K-fold cross-validation
Omid Ghorbanzadeh,Hejar Shahabi,Fahimeh Mirchooli,Khalil Valizadeh Kamran,Samsung Lim,Jagannath Aryal,Ben Jarihani,Thomas Blaschke +7 more
TL;DR: Gully erosion is a severe form of soil erosion that results in a wide range of environmental problems such as, dams' sedimentation, destruction of transportation and energy transmission lines, decr...
Journal ArticleDOI
Flood risk mapping and crop-water loss modeling using water footprint analysis in agricultural watershed, northern Iran
TL;DR: In this article, loss of water bound in agricultural products following damage by flooding was calculated using water footprint and agricultural statistics, using the Talar watershed, northern Iran, as a case.
Journal ArticleDOI
How do data-mining models consider arsenic contamination in sediments and variables importance?
Fahimeh Mirchooli,Alireza Motevalli,Alireza Motevalli,Hamid Reza Pourghasemi,Maziar Mohammadi,Prosun Bhattacharya,Fatemeh Fadia Maghsood,Fatemeh Fadia Maghsood,John P. Tiefenbacher +8 more
TL;DR: These data-mining methods can be used as appropriate, inexpensive, and feasible options to identify As-susceptible areas and can guide managers to reduce contamination in sediment of the environment and the food chain.