دورية أكاديمية

The artificial neural network for the rockfall susceptibility assessment. A case study in Basilicata (Southern Italy)

التفاصيل البيبلوغرافية
العنوان: The artificial neural network for the rockfall susceptibility assessment. A case study in Basilicata (Southern Italy)
المؤلفون: Lucia Losasso, Francesco Sdao
المصدر: Geomatics, Natural Hazards & Risk, Vol 9, Iss 1, Pp 737-759 (2018)
بيانات النشر: Taylor & Francis Group, 2018.
سنة النشر: 2018
المجموعة: LCC:Environmental technology. Sanitary engineering
LCC:Environmental sciences
LCC:Risk in industry. Risk management
مصطلحات موضوعية: Analysis Neural Networks (ANNs), Basilicata, GIS, Italy, rockfall susceptibility map, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Risk in industry. Risk management, HD61
الوصف: This paper presents the results obtained by the elaboration of an artificial neuronal network for the creation of a rockfall susceptibility map. The analysis was carried out by analysing the predisposing and triggering factors of the rockfall phenomenon. The parameters considered for this study and representing the input data of the artificial neural network are factors such as: gradient, soil use, lithology, rockfall source areas and kinetic energy values obtained by considering the probable pathways of the blocks through simulations with dedicated softwares, DEMs and niches of the rockfalls that have already occurred in the past. The processing of this data (required in a versatile dedicated software for the realization of the artificial neural network in ASCII format) is done using GIS softwares, useful tools for the creation of hazard maps. An important step is the realization of the rockfall inventory map: it allows to identify the training set (consisting of 50% of the pixels relative to the rockfall niches) for the network training and the testing set (considering the remaining 50% of the pixels relative to the rockfall niches) to assess the network accuracy by overlaying the rockfall niches belonging to the testing set with the obtained susceptibility map.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1947-5705
1947-5713
19475705
العلاقة: https://doaj.org/toc/1947-5705Test; https://doaj.org/toc/1947-5713Test
DOI: 10.1080/19475705.2018.1476413
الوصول الحر: https://doaj.org/article/670113625aa34446a9be823d14a3f824Test
رقم الانضمام: edsdoj.670113625aa34446a9be823d14a3f824
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19475705
19475713
DOI:10.1080/19475705.2018.1476413