Оценка геоэкологического риска, связанного с опасностью намыва песчаных дюн в засушливых районах, с помощью методов машинного обучения

Geo-Environmental Risk Assessment of Sand Dunes Encroachment Hazards in Arid Lands Using Machine Learning Techniques

Авторы
Ахмед К.А.Э.А (Ahmed K.A.E.A) 1 , Хоссам М.Г (Hossam M.G) 2 , Ханаа А.М (Hanaa A.M) 2 , Маха К.С (Maha K.S) 3 , Махмуд А.Х (Mahmoud A.H) 4 , Мохамед Э.Ф (Mohamed E.F) 5 , Ребух Н.Я (Rebouh N.Y) 6 , Хеба Э.Б (Heba E.B) 7
Journal
Sustainability (Switzerland)
Издательство
MDPI AG
Язык
English
Статус
Published
Ссылка
Внешняя ссылка
DOI
10.3390/SU162411139
Год
2024
Организации
  • 1 Civil Engineering Department, College of Engineering, Najran University, Najran 1988, Saudi Arabia
  • 2 Geological Applications Department, National Authority for Remote Sensing and Space Sciences (NARSS), Cairo 11769, Egypt
  • 3 Geography Department, Faculty of Arts, Cairo University, Giza 12613, Egypt
  • 4 Mineral Resources Department, National Authority for Remote Sensing and Space Sciences (NARSS), Cairo 11769, Egypt
  • 5 Division of Scientific Training and Continuous Studies, National Authority for Remote Sensing and Space Sciences (NARSS), Cairo 11769, Egypt
  • 6 Department of Environmental Management, Institute of Environmental Engineering, RUDN University, 6 Miklukho-Maklaya St., Moscow 117198, Russia
  • 7 Geography Department, Faculty of Arts, Port Said University, Port Said 42511, Egypt
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