A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran

Abstract We used three state-of-the-art machine learning techniques (boosted regression tree, random forest, and support vector machine) to produce a multi-hazard (MHR) map illustrating areas susceptible to flooding, gully erosion, forest fires, and earthquakes in Kohgiluyeh and Boyer-Ahmad Province...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Soheila Pouyan, Hamid Reza Pourghasemi, Mojgan Bordbar, Soroor Rahmanian, John J. Clague
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/144be68bf8ca4efc8223588f0370d8d5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:144be68bf8ca4efc8223588f0370d8d5
record_format	dspace
spelling	oai:doaj.org-article:144be68bf8ca4efc8223588f0370d8d52021-12-02T16:17:22ZA multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran10.1038/s41598-021-94266-62045-2322https://doaj.org/article/144be68bf8ca4efc8223588f0370d8d52021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94266-6https://doaj.org/toc/2045-2322Abstract We used three state-of-the-art machine learning techniques (boosted regression tree, random forest, and support vector machine) to produce a multi-hazard (MHR) map illustrating areas susceptible to flooding, gully erosion, forest fires, and earthquakes in Kohgiluyeh and Boyer-Ahmad Province, Iran. The earthquake hazard map was derived from a probabilistic seismic hazard analysis. The mean decrease Gini (MDG) method was implemented to determine the relative importance of effective factors on the spatial occurrence of each of the four hazards. Area under the curve (AUC) plots, based on a validation dataset, were created for the maps generated using the three algorithms to compare the results. The random forest model had the highest predictive accuracy, with AUC values of 0.994, 0.982, and 0.885 for gully erosion, flooding, and forest fires, respectively. Approximately 41%, 40%, 28%, and 3% of the study area are at risk of forest fires, earthquakes, floods, and gully erosion, respectively.Soheila PouyanHamid Reza PourghasemiMojgan BordbarSoroor RahmanianJohn J. ClagueNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Soheila Pouyan Hamid Reza Pourghasemi Mojgan Bordbar Soroor Rahmanian John J. Clague A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran
description	Abstract We used three state-of-the-art machine learning techniques (boosted regression tree, random forest, and support vector machine) to produce a multi-hazard (MHR) map illustrating areas susceptible to flooding, gully erosion, forest fires, and earthquakes in Kohgiluyeh and Boyer-Ahmad Province, Iran. The earthquake hazard map was derived from a probabilistic seismic hazard analysis. The mean decrease Gini (MDG) method was implemented to determine the relative importance of effective factors on the spatial occurrence of each of the four hazards. Area under the curve (AUC) plots, based on a validation dataset, were created for the maps generated using the three algorithms to compare the results. The random forest model had the highest predictive accuracy, with AUC values of 0.994, 0.982, and 0.885 for gully erosion, flooding, and forest fires, respectively. Approximately 41%, 40%, 28%, and 3% of the study area are at risk of forest fires, earthquakes, floods, and gully erosion, respectively.
format	article
author	Soheila Pouyan Hamid Reza Pourghasemi Mojgan Bordbar Soroor Rahmanian John J. Clague
author_facet	Soheila Pouyan Hamid Reza Pourghasemi Mojgan Bordbar Soroor Rahmanian John J. Clague
author_sort	Soheila Pouyan
title	A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran
title_short	A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran
title_full	A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran
title_fullStr	A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran
title_full_unstemmed	A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran
title_sort	multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in iran
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/144be68bf8ca4efc8223588f0370d8d5
work_keys_str_mv	AT soheilapouyan amultihazardmapbasedfloodinggullyerosionforestfiresandearthquakesiniran AT hamidrezapourghasemi amultihazardmapbasedfloodinggullyerosionforestfiresandearthquakesiniran AT mojganbordbar amultihazardmapbasedfloodinggullyerosionforestfiresandearthquakesiniran AT soroorrahmanian amultihazardmapbasedfloodinggullyerosionforestfiresandearthquakesiniran AT johnjclague amultihazardmapbasedfloodinggullyerosionforestfiresandearthquakesiniran AT soheilapouyan multihazardmapbasedfloodinggullyerosionforestfiresandearthquakesiniran AT hamidrezapourghasemi multihazardmapbasedfloodinggullyerosionforestfiresandearthquakesiniran AT mojganbordbar multihazardmapbasedfloodinggullyerosionforestfiresandearthquakesiniran AT soroorrahmanian multihazardmapbasedfloodinggullyerosionforestfiresandearthquakesiniran AT johnjclague multihazardmapbasedfloodinggullyerosionforestfiresandearthquakesiniran
_version_	1718384216095326208

A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran

Ejemplares similares