Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Ebrahim Omidvar"'
Publikováno v:
مدلسازی و مدیریت آب و خاک, Vol 4, Iss 2, Pp 211-226 (2024)
Introduction Analysis of the spatial and temporal trends of precipitation is pertinent for the future sustainable management of water resources. Urbanization and climate change affected local rainfall and intensity. As rainfall characteristics are of
Externí odkaz:
https://doaj.org/article/63389bc33dd244579e5264446109c38e
Publikováno v:
پژوهشهای آبخیزداری, Vol 36, Iss 3, Pp 128-145 (2023)
Introduction and objectiveSoil erosion by water and wind is one of the biggest environmental threats worldwide which it has various negative consequences such as soil degradation, mitigation of soil fertility, depletion of nutrients and micro-element
Externí odkaz:
https://doaj.org/article/fd0b7aad0b324aba9ad8235067dea5f2
Publikováno v:
مدلسازی و مدیریت آب و خاک, Vol 2, Iss 1, Pp 42-52 (2022)
Introduction Due to urban development, it is necessary to provide management solutions to reduce the risk of flooding of urban facilities. Passive defense is a new approach aimed at minimizing and preventing financial and human losses and preventing
Externí odkaz:
https://doaj.org/article/c91cdd62de7f4a5c9adbd5392ce34eb1
Autor:
Mahdi Panahi, Khabat Khosravi, Sajjad Ahmad, Somayeh Panahi, Salim Heddam, Assefa M. Melesse, Ebrahim Omidvar, Chang-Wook Lee
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 38, Iss , Pp 100950- (2021)
Externí odkaz:
https://doaj.org/article/4453cc5309e24c8e837d852a49c49ce1
Autor:
Mahdi Panahi, Khabat Khosravi, Sajjad Ahmad, Somayeh Panahi, Salim Heddam, Assefa M Melesse, Ebrahim Omidvar, Chang-Wook Lee
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 35, Iss , Pp 100825- (2021)
Study region: Sixteen different sites from two provinces (Lorestan and Illam) in the western part of Iran were considered for the field data measurement of cumulative infiltration, infiltration rate, and other effective variables that affect infiltra
Externí odkaz:
https://doaj.org/article/c06feaff7f2042cf9aa588ef1f8d315f
Autor:
Viet-Ha Nhu, Saeid Janizadeh, Mohammadtaghi Avand, Wei Chen, Mohsen Farzin, Ebrahim Omidvar, Ataollah Shirzadi, Himan Shahabi, John J. Clague, Abolfazl Jaafari, Fatemeh Mansoorypoor, Binh Thai Pham, Baharin Bin Ahmad, Saro Lee
Publikováno v:
Applied Sciences, Vol 10, Iss 6, p 2039 (2020)
Gully erosion destroys agricultural and domestic grazing land in many countries, especially those with arid and semi-arid climates and easily eroded rocks and soils. It also generates large amounts of sediment that can adversely impact downstream riv
Externí odkaz:
https://doaj.org/article/15fd42ee3a374897bade83c004cd3b5a
Autor:
Himan Shahabi, Ataollah Shirzadi, Kayvan Ghaderi, Ebrahim Omidvar, Nadhir Al-Ansari, John J. Clague, Marten Geertsema, Khabat Khosravi, Ata Amini, Sepideh Bahrami, Omid Rahmati, Kyoumars Habibi, Ayub Mohammadi, Hoang Nguyen, Assefa M. Melesse, Baharin Bin Ahmad, Anuar Ahmad
Publikováno v:
Remote Sensing, Vol 12, Iss 2, p 266 (2020)
Mapping flood-prone areas is a key activity in flood disaster management. In this paper, we propose a new flood susceptibility mapping technique. We employ new ensemble models based on bagging as a meta-classifier and K-Nearest Neighbor (KNN) coarse,
Externí odkaz:
https://doaj.org/article/c78c6f077be842578a0e75fe7d2150a7
Autor:
Phong Tung Nguyen, Tran Thi Tuyen, Ataollah Shirzadi, Binh Thai Pham, Himan Shahabi, Ebrahim Omidvar, Ata Amini, Hersh Entezami, Indra Prakash, Tran Van Phong, Thao Ba Vu, Tran Thanh, Lee Saro, Dieu Tien Bui
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2824 (2019)
We proposed an innovative hybrid intelligent approach, namely, the multiboost based naïve bayes trees (MBNBT) method for the spatial prediction of landslides in the Mu Cang Chai District of Yen Bai Province, Vietnam. The MBNBT, which is an ensemble
Externí odkaz:
https://doaj.org/article/cf25f735b33d4603b97fb5190e7960ca
Autor:
Dieu Tien Bui, Himan Shahabi, Ebrahim Omidvar, Ataollah Shirzadi, Marten Geertsema, John J. Clague, Khabat Khosravi, Biswajeet Pradhan, Binh Thai Pham, Kamran Chapi, Zahra Barati, Baharin Bin Ahmad, Hosein Rahmani, Gyula Gróf, Saro Lee
Publikováno v:
Remote Sensing, Vol 11, Iss 8, p 931 (2019)
We used a novel hybrid functional machine learning algorithm to predict the spatial distribution of landslides in the Sarkhoon watershed, Iran. We developed a new ensemble model which is a combination of a functional algorithm, stochastic gradient de
Externí odkaz:
https://doaj.org/article/44ec9718876b4e19b83fde0390d46286
Autor:
Khabat KHOSRAVI, Ali GOLKARIAN, Rahim BARZEGAR, Mohammad T. AALAMI, Salim HEDDAM, Ebrahim OMIDVAR, Saskia D. KEESSTRA, Manuel LÓPEZ-VICENTE
Publikováno v:
Pedosphere. 33:479-495
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67a7e588e3158ddaad68e4703ec969b8
https://doi.org/10.1016/j.pedsph.2022.06.056
https://doi.org/10.1016/j.pedsph.2022.06.056