scholarly journals Comparison of Multicriteria Decision-Making Techniques for Groundwater Recharge Potential Zonation: Case Study of the Willochra Basin, South Australia

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 525
Author(s):  
Alaa Ahmed ◽  
Chathuri Ranasinghe-Arachchilage ◽  
Abdullah Alrajhi ◽  
Guna Hewa
Keyword(s):  
Decision Making ◽  
Groundwater Recharge ◽  
Analytical Hierarchy Process ◽  
Frequency Ratio ◽  
Groundwater Resources ◽  
Influencing Factor ◽  
Area Under The Curve ◽  
Recharge Potential ◽  
Curve Method ◽  
Hierarchy Process

In semi-arid regions, groundwater resources play a crucial role in all economic, environmental, and social processes. However, the occurrence, movement, and recharge of these hidden and valuable resources vary from place to place. Therefore, better management practices and mapping of groundwater recharge potential zones are needed for the sustainable groundwater resources. For an example, groundwater resources in Willochra Basin are vitally important for drinking, irrigation, and stock use. This study shows the significance of the application of three decision-making approaches, including multi-influencing factor, analytical hierarchy process, and frequency ratio techniques in the identification of groundwater potential zones. A total of seven criteria, including lithology, slope, soil texture, land-use, rainfall, drainage density, and lineament density, were extracted from conventional and remote sensing data sources. The parameters and their assigned weights were integrated using Geographic Information System (GIS) software to generate recharge potential maps. The resultant maps were evaluated using the area under the curve method. The results showed that the southern regions of the Willochra Basin are more promising for groundwater recharge potential. The map produced using the frequency ratio model was the most efficient (84%), followed by the multi-influencing factor model (70%) and then the analytical hierarchy process technique (62%). The area under the curve method agreed when evaluated using published weights and rating values.

scholarly journals Comparison of Statistical and Analytical Hierarchy Process Methods on Flood Susceptibility Mapping: In a Case Study of the Tana Sub-basin in Northwestern Ethiopia

2021 ◽  
Author(s):  
Azemeraw Wubalem ◽  
Gashaw Tesfaw ◽  
Zerihun Dawit ◽  
Belete Getahun ◽  
Tamirat Mekuria ◽  
...  
Keyword(s):  
Analytical Hierarchy Process ◽  
Frequency Ratio ◽  
Flood Hazard ◽  
Area Under The Curve ◽  
Google Earth ◽  
Information Value ◽  
Susceptibility Map ◽  
Flood Hazards ◽  
Flood Susceptibility ◽  
Hierarchy Process

Abstract The sub-basin of Lake Tana is one of the most flood-prone areas in northwestern Ethiopia, which is affected by flood hazards. Flood susceptibility modeling in this area is essential for hazard reduction purposes. For this, the analytical hierarchy process (AHP), bivariate, and multivariate statistical methods were used. Using an intensive field survey, historical record, and Google Earth Imagery, 1404 flood locations were determined which are classified into 70% training datasets and 30% testing flood datasets using subset in the GIS tool. The statistical relationship between the probability of flood occurrence and eleven flood-driving factors is performed using the GIS tool. Then, the flood susceptibility map of the area is developed by summing all weighted factors using a raster calculator and classified into very low, low, moderate, high, and very high susceptibility classes using the natural breaks method. The results for the area under the curve (AUC) are 99.1% for the frequency ratio model is better than 86.9% using AHP, 81.4% using the logistic regression model, and 78.2% using the information value model. Based on the AUC values, the frequency ratio (FR) model is relatively better followed by the AHP model for regional flood use planning, flood hazard mitigation, and prevention purposes.

scholarly journals Comparison of statistical and analytical hierarchy process methods on flood susceptibility mapping: in a case study of Tana sub-basin in northwestern Ethiopia

2020 ◽  
Author(s):  
Azemeraw Wubalem ◽  
Gashaw Tesfaw ◽  
Zerihun Dawit ◽  
Belete Getahun ◽  
Tamirat Mekuria ◽  
...  
Keyword(s):  
Analytical Hierarchy Process ◽  
Frequency Ratio ◽  
Flood Hazard ◽  
Area Under The Curve ◽  
Google Earth ◽  
Information Value ◽  
Susceptibility Map ◽  
Flood Hazards ◽  
Flood Susceptibility ◽  
Hierarchy Process

Abstract. The sub-basin of Lake Tana is one of the most flood-prone areas in northwestern Ethiopia, which is affected by flood hazards. Flood susceptibility modeling in this area is essential for hazard reduction purposes. For this, the analytical hierarchy process (AHP), bivariate, and multivariate statistical methods were used. Using an intensive field survey, historical record, and Google Earth Imagery, 1404 flood locations were determined which are classified into 70 % training datasets and 30 % testing flood datasets using subset in the GIS tool. The statistical relationship between the probability of flood occurrence and eleven flood-driving factors is performed using the GIS tool. Then, the flood susceptibility map of the area is developed by summing all weighted factors using a raster calculator and classified into very low, low, moderate, high, and very high susceptibility classes using the natural breaks method. The results for the area under the curve (AUC) are 99.1 % for the frequency ratio model is better than 86.9 % using AHP, 81.4 % using the logistic regression model, and 78.2 % using the information value model. Based on the AUC values, the frequency ratio (FR) model is relatively better followed by the AHP model for regional flood use planning, flood hazard mitigation, and prevention purposes.

scholarly journals PENDETEKSIAN DINI TINGKAT KEMANAN INFORMASI BERBASIS ISO 27001 : 2013 MENGGUNAKAN METODE AHP (ANALYTICAL HIERARCHY PROCESS)

2019 ◽  
Vol 2 (2) ◽  
pp. 57-64
Author(s):  
Arini Arini
Keyword(s):  
Decision Making ◽  
Information Security ◽  
Analytical Hierarchy Process ◽  
British Standard Institution ◽  
International Electrotechnical Commission ◽  
Security Assessment ◽  
Scoring Method ◽  
Weighting Method ◽  
Hierarchy Process ◽  
Iso 27001

Information is one of the important assets for the survival of an organization / business, defense security and the integrity of the country, public trust between consumers, so that the availability, accuracy and integrity must be maintained, or commonly abbreviated as CIA (Confidentiality, Integrity & Availability). ISO 27001 is an information security standard published in October 2005 by the International Organization for Standardization (ISO) and International Electrotechnical Commission (IEC). However, until now there has been no tool for companies in Indonesia to do a pre-assessment of the level of information security. Plus the lack of socialization of the rules and the lack of ISO 270001 expert in Indonesia, these are reason why the authors conducted this research. The author begins research by collecting data, by studying literature and interviewing experts to identify problems. After that, in its implementation, this research will be directed (knowledge acquisition) and reviewed directly by an ISO 27001 expert from The British Standard Institution of the United Kingdom (BSI) so that the results are more accurate. After that, the writer determines the weighting method (decision making), scoring method, system development method, and simulation method (testing). The results of the study are in the form of pre-assessment to evaluate the information security assessment index, which will be displayed according to indicators pioneered from ISO 27001: 2013 using AHP (Analytical Hierarchy Process) decision-making methods, as well as web-based making it easier to review.

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