Zobrazeno 1 - 10
of 316
pro vyhledávání: '"erosion susceptibility"'
Publikováno v:
Discover Geoscience, Vol 2, Iss 1, Pp 1-13 (2024)
Abstract The application of Geoinformatics have become fastest and improved advanced tools to analyse and interpret the topography and hydrological characteristics. This study aimed to utilize the advantage of high resolution (30 m) remote sensing da
Externí odkaz:
https://doaj.org/article/ad718d114c814312bb5893e6dcb69b48
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
In order to determine the susceptibility of gully erosion at a small watershed scale on the Loess Plateau of China, three hybrid models were developed. These models were based on the Multi-Attributive Border Approximation Area Comparison (MABAC), fre
Externí odkaz:
https://doaj.org/article/020866084eb74476aa48883f4c4d9d01
Publikováno v:
Results in Earth Sciences, Vol 2, Iss , Pp 100042- (2024)
Morphometric analysis is essential for understanding drainage networks and landform evolution, particularly in complex mountainous regions like the Swat Valley. Accurate characterization of these features aids in water resource management and mitigat
Externí odkaz:
https://doaj.org/article/2482e133a145483396d684b29f7bd85c
Publikováno v:
Hungarian Geographical Bulletin, Vol 72, Iss 4, Pp 339-364 (2023)
In this study, the Analytic Hierarchy Process (AHP) is applied to generate erosion susceptibility maps in four basins of Kalat-e-Naderi county, namely Archangan, Kalat, Qaratigan, and Chahchaheh basins, situated in northeast Iran. The Kalat-e-Naderi
Externí odkaz:
https://doaj.org/article/222a72d973cc402b9c270c6bbf2d9148
Autor:
Jorge da Paixão Marques Filho, Antônio José Teixeira Guerra, Carla Bernadete Madureira Cruz, Maria do Carmo Oliveira Jorge, Colin A. Booth
Publikováno v:
Land, Vol 13, Iss 10, p 1665 (2024)
Soil erosion is a global issue—with gully erosion recognized as one of the most important forms of land degradation. The purpose of this study is to compare and contrast the outcomes of four machine learning models, Classification and Regression (C
Externí odkaz:
https://doaj.org/article/00c9b39ebb6a48c2bcc6a9d380ea67ca
Autor:
Yanchen Gao, Jiahui Yang, Xiaoyu Chen, Xiangwei Wang, Jinbo Li, Nasrin Azad, Francis Zvomuya, Hailong He
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3842 (2024)
The black soil region experiences complex erosion due to natural processes and intense human activities, leading to soil degradation and adverse ecological and agricultural impacts. However, the complexities involved in quantifying regional erosion p
Externí odkaz:
https://doaj.org/article/16c0be2ec8d643a1bef2da378400b354
Autor:
Clívia Dias Coelho, Demetrius David da Silva, Ricardo Santos Silva Amorim, Bruno Nery Fernandes Vasconcelos, Ernani Lopes Possato, Elpídio Inácio Fernandes Filho, Pedro Christo Brandão, José Ambrósio Ferreira Neto, Lucas Vieira Silva
Publikováno v:
Land, Vol 13, Iss 9, p 1475 (2024)
The environmental vulnerability diagnosis of a river basin depends on a holistic analysis of its environmental aspects and degradation factors. Based on this diagnosis, the definition of priority areas where interventions for environmental recovery s
Externí odkaz:
https://doaj.org/article/da4c66852d814bae95fd42aaa0e6163c
Publikováno v:
Conservation, Vol 3, Iss 1, Pp 32-52 (2023)
The Kashmir Valley is immensely susceptible to soil erosion due to its diverse topography and unstable geological formations in the Himalayan region. The present study helps in assessing the spatial distribution and prioritizing soil erosion zones in
Externí odkaz:
https://doaj.org/article/762ff586442a416a887a071c19f0d59a
Publikováno v:
Geology, Ecology, and Landscapes, Pp 1-12 (2022)
ABSTRACTThe study presents a GIS-based morphometric analysis characterizing the watersheds in Bohol, Philippines. An IfSAR-derived DEM data were processed and used to delineate the watersheds and evaluate morphometric parameters in QGIS/QSWAT. The an
Externí odkaz:
https://doaj.org/article/bb697b0d11384075a94d7e6b94a830d7
Autor:
Jagabandhu Roy, Sunil Saha
Publikováno v:
Artificial Intelligence in Geosciences, Vol 3, Iss , Pp 28-45 (2022)
Gully erosion is one of the important problems creating barrier to agricultural development. The present research used the radial basis function neural network (RBFnn) and its ensemble with random sub-space (RSS) and rotation forest (RTF) ensemble Me
Externí odkaz:
https://doaj.org/article/5c3521c7802146248876f709c7dac308