Global fatal landslide occurrence from 2004 to 2016
نویسندگان
چکیده
منابع مشابه
Predicting the susceptibility of landslide occurrence in order to manage landslide risk in Bar Neyshabur watershed
Background and objective: Landslide susceptibility zoning using different methods is one of the landslide management strategies. The purpose of this study is to evaluate the landslides susceptibility in the Bar watershed in Khorasan Razavi province using the support vector machine (SVM) algorithm. Method: First, the landslide layer of the area was corrected through field visits and Google Earth...
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Background: Pleural empyema is a collection of purulent exudate between the lungs and the chest wall. Despite the importance of the disease in children, no study has investigated it in Mazandaran province, Iran. The aim of this study was to evaluate the prevalence, clinical manifestations, diagnosis, treatment and its outcome in children referring to hospitals of Mazandaran during 12 years. Ma...
متن کاملLandslide occurrence as a response to land use change: a review of evidence from New Zealand
Vegetation cover is an important factor influencing the occurrence and movement of rainfalltriggered landslides, and changes to vegetation cover often result in modified landslide behaviour. However, it is difficult to relate the occurrence of landslides directly to variations in land use, especially in some European countries. In contrast, New Zealand provides a good opportunity to investigate...
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We report an unusual case of human babesiosis in Finland in a 53-year-old man with no history of splenectomy. He had a rudimentary spleen, coexisting Lyme borreliosis, exceptional dark streaks on his extremities, and subsequent disseminated aspergillosis. He was infected with Babesia divergens, which usually causes bovine babesiosis in Finland.
متن کاملA satellite-based global landslide model
Landslides are devastating phenomena that cause huge damage around the world. This paper presents a quasiglobal landslide model derived using satellite precipitation data, land-use land cover maps, and 250 m topography information. This suggested landslide model is based on the Support Vector Machines (SVM), a machine learning algorithm. The National Aeronautics and Space Administration (NASA) ...
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ژورنال
عنوان ژورنال: Natural Hazards and Earth System Sciences
سال: 2018
ISSN: 1684-9981
DOI: 10.5194/nhess-18-2161-2018