Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA)

Papua New Guinea is blessed with a plethora of enviable natural resources, but at the same time it is also cursed by quite a few natural disasters like volcanic eruptions, earthquakes, landslide, floods, droughts etc. Floods happen to be a natural process of maintaining the health of the rivers and...

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Main Authors: Sailesh Samanta, Cathy Koloa, Dilip Kumar Pal, Babita Palsamanta
Format: Article
Language:English
Published: MDPI AG 2016-08-01
Series:Hydrology
Subjects:
Online Access:http://www.mdpi.com/2306-5338/3/3/29
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author Sailesh Samanta
Cathy Koloa
Dilip Kumar Pal
Babita Palsamanta
author_facet Sailesh Samanta
Cathy Koloa
Dilip Kumar Pal
Babita Palsamanta
author_sort Sailesh Samanta
collection DOAJ
description Papua New Guinea is blessed with a plethora of enviable natural resources, but at the same time it is also cursed by quite a few natural disasters like volcanic eruptions, earthquakes, landslide, floods, droughts etc. Floods happen to be a natural process of maintaining the health of the rivers and depth of its thalweg; it saves the river from becoming morbid while toning up the fertility of the riverine landscape. At the same time, from human perspective, all these ecological goodies are nullified when flood is construed overwhelmingly as one of the most devastating events in respect to social and economic consequences. The present investigation was tailored to assess the use of multi-criteria decision approach (MCDA) in inland flood risk analysis. Categorization of possible flood risk zones was accomplished using geospatial data sets, like elevation, slope, distance to river, and land use/land cover, which were derived from digital elevation model (DEM) and satellite image, respectively. A pilot study area was selected in the lower part of Markham River in Morobe Province, Papua New Guinea. The study area is bounded by 146°31′ to 146°58′ east and 6°33′ to 6°46′ south; covers an area of 758.30 km2. The validation of a flood hazard risk map was carried out using past flood records in the study area. This result suggests that MCDA within GIS techniques is very useful in accurate and reliable flood risk analysis and mapping. This approach is convenient for the assessment of flood in any region, specifically in no-data regions, and can be useful for researchers and planners in flood mitigation strategies.
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spelling doaj.art-d37a8908fdc24add94ab66c5c078da352022-12-22T01:51:14ZengMDPI AGHydrology2306-53382016-08-01332910.3390/hydrology3030029hydrology3030029Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA)Sailesh Samanta0Cathy Koloa1Dilip Kumar Pal2Babita Palsamanta3GIS Section, Department of Surveying and Land Studies, The PNG University of Technology, Private Mail Bag, Lae 411, Morobe Province, Papua New GuineaDepartment of Surveying and Land Studies, The PNG University of Technology, Private Mail Bag, Lae 411, Morobe Province, Papua New GuineaDepartment of Surveying and Land Studies, The PNG University of Technology, Private Mail Bag, Lae 411, Morobe Province, Papua New GuineaThe PNG University of Technology Campus, Private Mail Bag, Lae 411, Morobe Province, Papua New GuineaPapua New Guinea is blessed with a plethora of enviable natural resources, but at the same time it is also cursed by quite a few natural disasters like volcanic eruptions, earthquakes, landslide, floods, droughts etc. Floods happen to be a natural process of maintaining the health of the rivers and depth of its thalweg; it saves the river from becoming morbid while toning up the fertility of the riverine landscape. At the same time, from human perspective, all these ecological goodies are nullified when flood is construed overwhelmingly as one of the most devastating events in respect to social and economic consequences. The present investigation was tailored to assess the use of multi-criteria decision approach (MCDA) in inland flood risk analysis. Categorization of possible flood risk zones was accomplished using geospatial data sets, like elevation, slope, distance to river, and land use/land cover, which were derived from digital elevation model (DEM) and satellite image, respectively. A pilot study area was selected in the lower part of Markham River in Morobe Province, Papua New Guinea. The study area is bounded by 146°31′ to 146°58′ east and 6°33′ to 6°46′ south; covers an area of 758.30 km2. The validation of a flood hazard risk map was carried out using past flood records in the study area. This result suggests that MCDA within GIS techniques is very useful in accurate and reliable flood risk analysis and mapping. This approach is convenient for the assessment of flood in any region, specifically in no-data regions, and can be useful for researchers and planners in flood mitigation strategies.http://www.mdpi.com/2306-5338/3/3/29GISratingweightmulti-criteria decision approachflood risk mapping
spellingShingle Sailesh Samanta
Cathy Koloa
Dilip Kumar Pal
Babita Palsamanta
Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA)
Hydrology
GIS
rating
weight
multi-criteria decision approach
flood risk mapping
title Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA)
title_full Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA)
title_fullStr Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA)
title_full_unstemmed Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA)
title_short Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA)
title_sort flood risk analysis in lower part of markham river based on multi criteria decision approach mcda
topic GIS
rating
weight
multi-criteria decision approach
flood risk mapping
url http://www.mdpi.com/2306-5338/3/3/29
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