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

Abstract

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 1 to 146˝58 1 east and 6˝33 1 to 6˝46 1 south; covers an area of 758.30 km 2 . 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.

Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process

“…However, as mentioned before, the purpose of this study was to reflect the physical (terrain) predispositions that influence flood-generation mechanisms. This approach was also presented in other studies, such as [7,27,32,50,52,54].…”

“…In this study, seven conditioning factors were selected similarly as in other flood susceptibility studies such as [50,51]. On the other hand, Samanta et al [52] or Rahmati et al [27] used only four parameters, while six parameters were used, for example, by Kourgialas and Karatzas [18]. Moreover, ten parameters were used, for example, by Haghizadeh et al [53] and Khosravi et al [21,49], eleven parameters by Choubin et al [32], or twelve parameters by Zhao et al [9].…”

Multi‐criteria decision analysis for flood risk on the Chenab River

“…The total weight (TW) of all the parameters is 15 after division amongst the 5 parameters, based on their individual significance. A normalised rating index (NRI) was calculated after dividing the total rate by R (Samanta et al ).…”

Temporal and Spatial Analysis of Flood Occurrences in the Drainage Basin of Pinios River (Thessaly, Central Greece)

“…Historic data are useful for floodplain management, flood insurance rating, emergency planning and flood risk management. A careful search for data and their suitable arrangement may result in a powerful tool for flood disaster prevention and land use planning [23][24][25].One essential step in any flood hazard analysis and estimation is the flood hazard recognition. This statement includes the record of possible geomorphologic evidence of flood activity, historic accounts and records [26].…”

“…Historic data are useful for floodplain management, flood insurance rating, emergency planning and flood risk management. A careful search for data and their suitable arrangement may result in a powerful tool for flood disaster prevention and land use planning [23][24][25].…”