Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia

Instruction The countries along the Belt and Road Initiative remain high exposure and vulnerability to climate extremes. Southeast Asia, a significant part of the Belt and Road Initiative, suffers a lot from flood disasters. This study assessed the flood disaster risk from 1990–2015 in all 11 Southe...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yan An, Xianchun Tan, Baihe Gu, Kaiwei Zhu
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2020
Materias:	flood risk assessment technique for order preference by similarity to ideal solution coefficient of variation southeast asia Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/4357c4c899944bd196c4fd25a81a0014
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:4357c4c899944bd196c4fd25a81a0014
record_format	dspace
spelling	oai:doaj.org-article:4357c4c899944bd196c4fd25a81a00142021-12-02T16:43:51ZFlood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia2332-887810.1080/20964129.2020.1765703https://doaj.org/article/4357c4c899944bd196c4fd25a81a00142020-12-01T00:00:00Zhttp://dx.doi.org/10.1080/20964129.2020.1765703https://doaj.org/toc/2332-8878Instruction The countries along the Belt and Road Initiative remain high exposure and vulnerability to climate extremes. Southeast Asia, a significant part of the Belt and Road Initiative, suffers a lot from flood disasters. This study assessed the flood disaster risk from 1990–2015 in all 11 Southeast Asian countries. A model integrating the coefficient of variation approach and the Technique for Order Preference by Similarity to Ideal Solution method was introduced to analyze the flood disaster data. Considering that populations living in areas where elevation is below 5 m and land area where elevation is below 5 m have reached 11.86% and 3.54% (2015), respectively, the two indicators were opted for to propose new metrics for flood disaster risk assessment.Outcomes: Our findings show that the flood disaster risk in Southeast Asia appeared very high during most of the study period. Indonesia had an extremely high flood disaster risk, followed by Vietnam, whereas Laos, Malaysia, Brunei, and Timor Leste had lower flood risks. The model introduced in this paper is quite simple and easy to understand, providing accessible flood risk information for decision makers.Conclusion: The results we obtained have practical implications for land use and investment activities in Southeast Asia.Yan AnXianchun TanBaihe GuKaiwei ZhuTaylor & Francis Grouparticlefloodrisk assessmenttechnique for order preference by similarity to ideal solutioncoefficient of variationsoutheast asiaEcologyQH540-549.5ENEcosystem Health and Sustainability, Vol 6, Iss 1 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	flood risk assessment technique for order preference by similarity to ideal solution coefficient of variation southeast asia Ecology QH540-549.5
spellingShingle	flood risk assessment technique for order preference by similarity to ideal solution coefficient of variation southeast asia Ecology QH540-549.5 Yan An Xianchun Tan Baihe Gu Kaiwei Zhu Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia
description	Instruction The countries along the Belt and Road Initiative remain high exposure and vulnerability to climate extremes. Southeast Asia, a significant part of the Belt and Road Initiative, suffers a lot from flood disasters. This study assessed the flood disaster risk from 1990–2015 in all 11 Southeast Asian countries. A model integrating the coefficient of variation approach and the Technique for Order Preference by Similarity to Ideal Solution method was introduced to analyze the flood disaster data. Considering that populations living in areas where elevation is below 5 m and land area where elevation is below 5 m have reached 11.86% and 3.54% (2015), respectively, the two indicators were opted for to propose new metrics for flood disaster risk assessment.Outcomes: Our findings show that the flood disaster risk in Southeast Asia appeared very high during most of the study period. Indonesia had an extremely high flood disaster risk, followed by Vietnam, whereas Laos, Malaysia, Brunei, and Timor Leste had lower flood risks. The model introduced in this paper is quite simple and easy to understand, providing accessible flood risk information for decision makers.Conclusion: The results we obtained have practical implications for land use and investment activities in Southeast Asia.
format	article
author	Yan An Xianchun Tan Baihe Gu Kaiwei Zhu
author_facet	Yan An Xianchun Tan Baihe Gu Kaiwei Zhu
author_sort	Yan An
title	Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia
title_short	Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia
title_full	Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia
title_fullStr	Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia
title_full_unstemmed	Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia
title_sort	flood risk assessment using the cv-topsis method for the belt and road initiative: an empirical study of southeast asia
publisher	Taylor & Francis Group
publishDate	2020
url	https://doaj.org/article/4357c4c899944bd196c4fd25a81a0014
work_keys_str_mv	AT yanan floodriskassessmentusingthecvtopsismethodforthebeltandroadinitiativeanempiricalstudyofsoutheastasia AT xianchuntan floodriskassessmentusingthecvtopsismethodforthebeltandroadinitiativeanempiricalstudyofsoutheastasia AT baihegu floodriskassessmentusingthecvtopsismethodforthebeltandroadinitiativeanempiricalstudyofsoutheastasia AT kaiweizhu floodriskassessmentusingthecvtopsismethodforthebeltandroadinitiativeanempiricalstudyofsoutheastasia
_version_	1718383510917480448

Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia

Ejemplares similares