Assessment of Flood Susceptibility Analysis Using Geographical Information System (GIS) and Analytical Hierarchy Process (AHP) in Kota Belud Area, Sabah, Malaysia | Chapter 1 | Geography, Earth Science and Environment: Research Highlights Vol. 1

A flood susceptibility map is an instrument for assessing flood levels. Flood susceptibility maps can be developed using the Geographical Information System (GIS) because this can manipulate multi-dimensional natural hazard phenomena using a spatial element. This study aims to assess the flood susceptibility analysis using a GIS-based-heuristic analysis, namely the Analytical Hierarchy Process (AHP) model. The study was carried out in Kota Belud, Sabah, Malaysia. This area is known as a flood-prone area and cases of devastating flooding in Kota Belud, Sabah have been growing recently. Eight relevant physical parameters have been selected, namely, drainage density, drainage proximity, elevation, slope angle, slope curvature, land use, soil type, and topography wetness index. The relative importance of these factors has been compared in the pairwise matrix to gain weight values during the process of the Analytical Hierarchy Process (AHP). The flood susceptibility zones have been mapped according to their weightage value. Finally, the flood susceptibility map was prepared and classified into six classes very low, low, moderate, high, and very high susceptibility using the natural break classification method. In this study area, the very high susceptibility areas are located at the north, northwest and northeast, considerably flat in slope and low elevation as considered from DEM. By contrast, areas having a higher degree of slope angle are prone to flooding. The accuracy of the flood susceptibility model was validated using the Area Under the Curve (AUC) analysis. The AUC for success rate was estimated at 82.13%. This study concluded that the AHP model is suitable for the selection of land use suitability, control and manage the flood hazard/risk in the study area and potentially to be extended with different background environments. Strict measure needs to be taken concerning uncontrolled urbanization and the occupation of areas that have proximities to the rivers in order to prevent more significant damage.

 

Author (s) Details

Kamilia Sharir
Faculty of Engineering (FKJ), Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia.

 

Amirah Saidin
Faculty of Science and Natural Resources (FSSA), Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia.

 

Rodeano Roslee
Natural Disaster Research Centre (NDRC), Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia.

 

Please see the book here:- https://doi.org/10.9734/bpi/geserh/v1/2293

A Quantitative Study on Using the Analytical Hierarchy Process Model in the Prioritization of Information Assurance Defense In-depth Measures | Chapter 5 | New Ideas Concerning Science and Technology Vol. 1

 This quantitative study investigates whether the model of the analytical hierarchy method (AHP) can be effectively extended to the prioritisation of in-depth security measures for knowledge assurance. The President, policymakers, analysts, and others have characterised cybersecurity as a pressing national security problem in response to these threats. The strategies used in this research consisted of emailing study participants a survey requesting that five security in-depth information assurance steps, anti-virus, intrusion detection, password, smart cards, and encryption be prioritised, with a range of responses from 1-5 using a Likert scale to take into account standard expense, performance, and perceived ease of use in terms of organisational safety The measures, based on ranking, were then weighted. Using AHP to assess whether the Likert scale and the AHP model could be effectively applied to the prioritisation of information assurance measures to secure organisational computing devices, a pair-wise comparison was then made of each of the five measures. The research findings reject the H0 null hypothesis that AHP does not affect the relationship between the prioritisation of five security in-depth dependent variables by information technology analysts and the independent variables of cost, ease of use, and effectiveness in protecting organisational devices from cyber-attacks.

Author(s) Details

Dr. Rodney Alexander
Hutchinson Community College, Hutchinson, Kansas, USA.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/308