|
|
|
Isidro Cantarino, Miguel Angel Carrion, Víctor Martínez-Ibáñez and Eric Gielen
Two methods are proposed here to improve the reliability of landslide susceptibility maps in risk assessment: (1) Frequency Ratio uses clusters/regression from inventory data, instead of standard intervals and (2) Diagnostic tests improve conventional cl...
ver más
|
|
|
|
|
|
|
Hanaa A. Megahed, Amira M. Abdo, Mohamed A. E. AbdelRahman, Antonio Scopa and Mohammed N. Hegazy
The occurrence of flash floods is a natural yet unavoidable occurrence over time. In addition to harming people, property, and resources, it also undermines a country?s economy. This paper attempts to identify areas of flood vulnerability using a frequen...
ver más
|
|
|
|
|
|
|
Yuan Wang, Xiaodan Shi and Takashi Oguchi
Archaeological predictive modeling (APM) is an essential method for quantitatively assessing the probability of archaeological sites present in a region. It is a necessary tool for archaeological research and cultural heritage management. In particular, ...
ver más
|
|
|
|
|
|
|
Maryam Torkashvand, Aminreza Neshat, Saman Javadi, Hossein Yousefi and Ronny Berndtsson
Vulnerability maps of groundwater provide an efficient means of identifying environmental trends and prioritizing regions for prevention plans. The GIS-based DRASTIC method, however, does not consider the impact of contamination, so there is a need to mo...
ver más
|
|
|
|
|
|
|
Sliman Hitouri, Antonietta Varasano, Meriame Mohajane, Safae Ijlil, Narjisse Essahlaoui, Sk Ajim Ali, Ali Essahlaoui, Quoc Bao Pham, Mirza Waleed, Sasi Kiran Palateerdham and Ana Cláudia Teodoro
Gully erosion is a serious threat to the state of ecosystems all around the world. As a result, safeguarding the soil for our own benefit and from our own actions is a must for guaranteeing the long-term viability of a variety of ecosystem services. As a...
ver más
|
|
|
|
|
|
|
Yizhun Zhang and Qisheng Yan
Landslide susceptibility prediction has the disadvantages of being challenging to apply to expanding landslide samples and the low accuracy of a subjective random selection of non-landslide samples. Taking Fu?an City, Fujian Province, as an example, a mo...
ver más
|
|
|
|
|
|
|
Sandeep Panchal and Amit K. Shrivastava
Landslide susceptibility maps are very important tools in the planning and management of landslide prone areas. Qualitative and quantitative methods each have their own advantages and dis-advantages in landslide susceptibility mapping. The aim of this st...
ver más
|
|
|
|
|
|
|
Hugo Leonardo Oliveira Chaves,Maria Elisa Leite Costa,Sérgio Koide,Tati de Almeida,Rejane Ennes Cicerelli
Pág. 148 - 166
O mapeamento de suscetibilidade à inundação é importante para o manejo da dinâmica do uso do solo e, consequentemente, da hidrologia urbana local. O presente estudo produziu o mapa de suscetibilidade à inundação na Bacia do Riacho Fundo, Distrito Federal...
ver más
|
|
|
|
|
|
|
Lingfeng He, John Coggan, Mirko Francioni and Matthew Eyre
This paper proposes a novel method to incorporate unfavorable orientations of discontinuities into machine learning (ML) landslide prediction by using GIS-based kinematic analysis. Discontinuities, detected from photogrammetric and aerial LiDAR surveys, ...
ver más
|
|
|
|
|
|
|
Ruiyuan Gao, Changming Wang, Zhu Liang, Songling Han and Bailong Li
Collapses, landslides, and debris flows are the main geological hazards faced by mankind, which bring heavy losses of life and property to people every year. The purpose of this paper is to establish a method for determining the optimal weighting scheme ...
ver más
|
|
|
|