Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Mohammad Kazem Hafizi"'
Autor:
Nastaran Zare, Seyed Ata Ollah Hosseini, Mohammad Kazem Hafizi, Akbar Najafi, Baris Majnounian, Marten Geertsema
Publikováno v:
Forests, Vol 12, Iss 8, p 1087 (2021)
In this research, we used the integration of frequency ratio and adaptive neuro-fuzzy modeling (ANFIS) to predict landslide susceptibility along forest road networks in the Hyrcanian Forest, northern Iran. We began our study by first mapping landslid
Externí odkaz:
https://doaj.org/article/d5bc10a64c424e82971c338e1d281454
Publikováno v:
Arabian Journal of Geosciences. 15
Publikováno v:
Journal of Environmental and Engineering Geophysics. 25:169-179
With the aid of ground penetrating radar (GPR), it is possible to evaluate physical properties of a constructed base layer in engineered structures (pavement, land consolidation projects, etc.) non-destructively, quickly, and accurately. High spatial
Publikováno v:
Journal of Applied Geophysics. 207:104831
Autor:
Mohammad Reza Ghorbani Nik, Mohammad Kazem Hafizi, Mohammad Reza Soleymani Kermani, Hashem Ranjy Roodposhti
Publikováno v:
Journal of Applied Geophysics. 168:49-58
The amount of water content (WC) and the density of geotechnical parameters are important because it affects various engineering structures. In the geotechnical test, there is an increased need for the development of efficient methods for measuring t
Publikováno v:
Water Resources in Arid Lands: Management and Sustainability ISBN: 9783030670276
Cost-effective and efficient techniques of geoelectrics for groundwater exploration, especially in karstic regions, can be used to as an appropriate tool to recognition of karst hydrogeological potential. This paper provides a method based on the geo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ceb9a5df99f3201e6c24e691dbca29e
https://doi.org/10.1007/978-3-030-67028-3_7
https://doi.org/10.1007/978-3-030-67028-3_7
Publikováno v:
25th European Meeting of Environmental and Engineering Geophysics.
Publikováno v:
Journal of Applied Geophysics. 130:118-130
Ambient electromagnetic interferences at the site of investigation often degrade the signal quality of the Surface-NMR measurements leading to inaccurate estimation of the signal parameters. This paper proposes a new powerful de-noising method based
Publikováno v:
Journal of Applied Geophysics. 175:103985
Due to multi-exponential decay-time properties of the subsurface volume units or layers, magnetic resonance sounding (MRS) relaxation data exhibit a multi-exponential behavior. MRS inverse problem in a multi-exponential modeling framework brings abou
Publikováno v:
Geophysical Prospecting. 64:489-504
Presence of noise in the acquisition of surface nuclear magnetic resonance data is inevitable. There are various types of noise, including Gaussian noise, spiky events, and harmonic noise that affect the signal quality of surface nuclear magnetic res