scholarly journals A Multi-Criteria Decision Support System in the Analysis of Flood Risk and Vulnerability Mapping in Suleja, Niger State, Nigeria

2019 ◽  
Vol 2 ◽  
pp. 1-7 ◽  
Author(s):  
Nura Khaliel Umar ◽  
Halima Sadiya Abdullahi ◽  
Ado Kibon Usman
Keyword(s):  
Flood Risk ◽  
Hazard Map ◽  
Ahp Method ◽  
Rainfall Distribution ◽  
Weighted Overlay ◽  
Causative Factors ◽  
Priority Weights ◽  
Vulnerability Map ◽  
Hierarchy Process ◽  
Pair Wise Comparison

<p><strong>Abstract.</strong> This study aims at assessing flood risk factors and mapping areas vulnerable to flood in Suleja of Niger State, Nigeria, using Geo-spatial techniques. The method follows a multi-parametric approach and integrates some of the flood causative factors as: rainfall distribution, elevation and slope, drainage network and density, landuse/ land-cover and soil type. The Spatial Multi-Criteria Analysis (MCA) was used to rank and display potential locations, while the Analytical Hierarchy Process (AHP) method was employed using pair-wise comparison to compute the priority weights of each factor. The various layers were integrated in weighted overlay tool in ArcGIS to generate the final vulnerability map (high, moderate and low). The normalized criterion weights were obtained for each factor, and the results shows that, rainfall (34) and slope (31) have the highest influence on flood in the study area. The Consistency Ratio (CR) with an acceptable level of 0.05 was obtained which further validated the strength of the judgement. The factor weights from the AHP were incorporated to produce a Geo-hazard map and it showed that areas that are high vulnerable to flood in Suleja constitute about 37%, while moderate and low vulnerable areas constitute about 45% and 18% respectively. Elements at high risk of flood are those found at the extreme northeast, where elevation is very low, southwest where rainfall distribution is high and on low lying areas along the depressions. Therefore using the Geo-hazard map as a guide, local councils and other stakeholders can act to prepare for potential floods.</p>

scholarly journals A rainfall distribution and their influence on flood generation in the eastern Slovakia

2013 ◽  
Vol 61 (6) ◽  
pp. 1645-1652 ◽  
Author(s):  
Lenka Gaňová ◽  
Martina Zeleňáková ◽  
Pavol Purcz ◽  
Žofia Kuzevičová ◽  
Helena Hlavatá
Keyword(s):  
Risk Assessment ◽  
Flood Risk ◽  
Ranking Method ◽  
Flood Risk Assessment ◽  
Rainfall Distribution ◽  
Causative Factors ◽  
Geographical Characteristic ◽  
Composite Maps ◽  
Flood Generation ◽  
The Impact

This paper aims to geographically assess the flood occurrence in eastern Slovakia by using one of the methods of multi-criteria analysis – rank sum method. Flood risk assessment is conducted in three specific cases: the long term period 1989–2009, the extremely wet 2010 year, and the extremely dry 2011 year. In the analyses, some of the causative factors for flooding in a basin area are taken into account. We use set of causative factors concerning mostly hydrological and physio-geographical characteristic of the target area that can be measured and evaluated such as soil type, daily precipitation (for the years 1989–2009, 2010, 2011), land use, catchment area and basin slope. For recommendation which causative factors should be preferred we use method of multicriteria analysis – ranking method. In the ranking method (RM), every factor/criterion under consideration is ranked in the order of the decision-maker’s preference. Geographic approach to flood risk assessment provides a descriptive presentation of the results obtained. Geographic information systems as a visualization tool is presented in a manner that aids understanding in a user friendly way.Regarding our task of flood risk assessment, the partial results are three composite maps, which present comparison of flood risk zones in percentage of the area in years 1989–2009, 2010, and 2011. The composite maps are background for risk assessment of the impact of rainfall on flood generation.This study of hydrological data and physio-geographical characteristic was carried out with the purpose of the identification of flood risk occurrence in eastern Slovakia. Results from our study shows, that rainfall distribution has high influence on flood risk of the area. Area percentage with very high flood risk index was calculated for “wet” year 2010 as 11.73 %, for “dry” year 2011 as 0.01 % and for period 1989–2009 as 0.28 %.

scholarly journals PRIORITIZATION OF FOREST FIRE HAZARD RISK SIMULATION USING HYBRID GREY RELATIVITY ANALYSIS (HGRA) AND FUZZY ANALYTICAL HIERARCHY PROCESS (FAHP) COUPLED WITH MULTICRITERIA DECISION ANALYSIS (MCDA) TECHNIQUES – A COMPARATIVE STUDY ANALYSIS

2021 ◽  
Vol 47 (3) ◽  
pp. 147-161
Author(s):  
Michael Stanley Peprah ◽  
Bernard Kumi-Boateng ◽  
Edwin Kojo Larbi
Keyword(s):  
Forest Fire ◽  
Risk Model ◽  
Fire Risk ◽  
Fuzzy Analytical Hierarchy Process ◽  
Weighted Overlay ◽  
Causative Factors ◽  
Major Criterion ◽  
Gis Environment ◽  
Hierarchy Process ◽  
Forest Fire Risk

Forests are important dynamic systems which are widely attracted by wild fires worldwide. Due to the complexity and non-linearity of the causative forest fire problems, employing sophisticated hybrid evolutionary algorithms is a logical task to achieve a reliable approximation of this environmental threats. This estimate will provide the outline of priority areas for preventing activities and allocation of fire fighters’ stations, seeking to minimize possible damages caused by fires. This study aims at prioritizing the forest fire risk of Wassa West district of Ghana. The study considered static causative factors such as Land use and land cover (which include forest, built-ups and settlement areas), slope, aspect, linear features (water bodies and roads) and dynamic causative factors such as wind speed, precipitation, and temperature were used. The methods employed include a Hybrid Grey Relativity Analysis (HGRA) and Fuzzy Analytical Hierarchy Process (FAHP) techniques. The fuzzy sets integrated with AHP in a decision-making algorithm using geographic information system (GIS) was used to model the fire risk in the study area. FAHP and HGRA methods were used for estimating the importance (weights) of the effective factors in forest fire modelling. Based on their modelling methods, the expert ideas were used to express the relative importance and priority of the major criteria and sub-criteria in forest fire risk in the study area. The expert ideas were analyzed based on FAHP and HGRA. The major criteria models and fire risk model were presented based on these FAHP and HGRA weights. On the other hand, the spatial data of the sub criteria were provided and assembled in GIS environment to obtain the sub-criteria maps. Each sub-criterion map was converted to raster format and it was reclassified based on risks of its classes to fire occurrence. The maps of each major criterion were obtained by weighted overlay of its sub criteria maps considering to major criterion model in GIS environment. Finally, the map of fire risk was obtained by weighted overlay of major criteria maps considering to fire risk model in GIS. The results showed that the FAHP model showed superiority than HGRA in prioritizing forest fire risk of the study area in terms of statistical analysis with a standard deviation of 0.09277 m as compared to 0.1122 m respectively. The obtained fire risk map can be used as a decision support system for predicting of the future trends in the study area. The optimized structures of the proposed models could serve as a good alternative to traditional forest predictive models, and this can be a promisingly testament used for future planning and decision making in the proposed areas.

Challenges of AI Adoption in the UAE Healthcare

2021 ◽  
pp. 097226292098839
Author(s):  
Fatma Khamis Al Badi ◽  
Khawla Ali Alhosani ◽  
Fauzia Jabeen ◽  
Agata Stachowicz-Stanusch ◽  
Nazia Shehzad ◽  
...  
Keyword(s):  
United Arab Emirates ◽  
Healthcare Sector ◽  
Healthcare Organizations ◽  
Ahp Method ◽  
Privacy And Security ◽  
Analytic Hierarchy ◽  
Priority Weights ◽  
Research Findings ◽  
Managerial Level ◽  
Hierarchy Process

The purpose of this study is to prioritize the challenges of adopting Artificial Intelligence (AI) in the healthcare sector of the United Arab Emirates (UAE). An Analytic Hierarchy Process (AHP) method was used, and the data were collected from the managerial-level executives ( n = 27) involved in AI adoption in their respective healthcare organizations. The results prioritized the AI main criteria and sub-criteria based on their priority weights in the healthcare sector. The results also revealed that accuracy, privacy and security criteria are the most important factors to optimize the healthcare sector with AI. The research findings shall help policymakers formulate suitable strategies with current adoption and acceptance of AI in the healthcare sector. The findings will help policymakers utilize this study’s outcomes to create a well-defined picture of AI’s actual adoption and acceptance in the healthcare sector.

scholarly journals Analysis of Critical Barriers in Bridge Construction using Fuzzy AHP methodology

2021 ◽  
pp. 415-423
Author(s):  
Hemant K Upadhyay ◽  
Rahul Kumar Raj
Keyword(s):  
Fuzzy Ahp ◽  
Research Work ◽  
Review Of Literature ◽  
Bridge Site ◽  
Successful Completion ◽  
Bridge Construction ◽  
Ahp Method ◽  
The Road ◽  
Hierarchy Process ◽  
Pair Wise Comparison

A Bridge is a structure that spans horizontally the road, body of water or a valley. Bridge Construction may vary depending on the intended functioning of the bridge and nature of the that geographical region. Keeping in view the bridge site and various constraints, type of bridge and method of construction are to be selected carefully for successful completion of bridge construction. However, It has been realized that critical barriers in bridge construction need to be identified and evaluated. The intended purpose of the presented research work is to check the critical barriers in bridge construction. Six critical barriers in bridge construction have been shortlisted by carrying out extensive review of literature and categorized in to three categories: 'Climate factors', 'Engineering factors', 'Public problem factors' using experts’ inputs. Fuzzy Analytical Hierarchy Process (F-AHP) method is chosen to rank of critical barriers in bridge construction. All pair wise comparison matrices are fabricated on the basis of a survey with inputs from thirty civil engineers. The outcomes may be instrumental for the planning creators for designing influential strategies to deal with critical barriers in bridge construction.

scholarly journals The Determination of Lightning Disaster Hazard Index Using Analytical Hierarchy Process

Elkawnie ◽  
2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Fathul Mahdariza
Keyword(s):  
Analytical Hierarchy Process ◽  
Hazard Index ◽  
Disaster Risk ◽  
Hazard Map ◽  
Risk Map ◽  
Lightning Strikes ◽  
Vulnerability Map ◽  
Hierarchy Process ◽  
Disaster Management System

In order to minimize the losses caused by lightning, a lightning disaster management system is compulsory. It should provide lightning disaster information in an area to get the risk values of lightning strikes. One way is to establish a lightning disaster risk map. The disaster risk map consists of hazard map, vulnerability map and capacity map. However, lightning yet has not been included in the regulation guiding the establishment of risk map for several disasters in Indonesia. This study is conducted to develop a process to determine general hazard index for lightning disaster.

Flood Risk Assessment Using Geographic Information System Techniques: In Guba Lafto District, North Wollo Zone, Amhara National Regional State, Ethiopia.

2021 ◽  
Author(s):  
Dinku Ebabu ◽  
Fikadu Fufa ◽  
Asnake Boyana ◽  
Getahun Sisay
Keyword(s):  
High Risk ◽  
Flood Risk ◽  
Key Factors ◽  
Weighted Overlay ◽  
Causative Factors ◽  
Prone Area ◽  
Significant Area ◽  
Risk Areas ◽  
Risk Zones ◽  
Flood Prone Area

Abstract Background In Ethiopia, flooding has long been recognized as one of the major environmental perils that often develop into a disaster affecting the lives and livelihoods of people for many years. Assessing flood causative factors and identifying flood risk prone areas are very crucial to minimize the harmful consequences of the hazard on the socio-economic conditions of the environment. Result The causative factors of flooding were developed and converted into raster formats to make them classification-ready. Finally, weighted overlay analysis is used to generate the flood risk areas. Based on key factors, the district was classified in to five-risk classes namely; very low, low, moderate, high and very high-risk Flooding zones. The major finding of the study prevails that, most areas of the district is at low, moderate and high-risk zones accounts 25.58, 61.41 and 12.81% respectively. Conclusion The flood prone area is mainly found in the eastern and southern parts of the study area based on their LULC type, soil characteristics and nearness to rivers. The study demonstrates, a significant area of the district is at a high risk for flooding and hence preliminary measures should be taken with the concerned bodies to reverse the resulting adverse impacts on environment.

scholarly journals Alternatif Pemilihan Laptop Bagi Mahasiswa Di Jakarta Utara Menggunakan Metode Analytic Hierarchy Process

2021 ◽  
Vol 10 (1) ◽  
pp. 8-13
Author(s):  
Refael Elnatan ◽  
Hendy Tannady
Keyword(s):  
Analytic Hierarchy Process ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Educational Activities ◽  
Work Activities ◽  
Priority Weights ◽  
Hierarchy Process ◽  
Selection Of

Laptops are thing that are needed by the community in educational activities and in work activities, but the accuracy in choosing laptops based on needs is difficult because there are many laptop brands with a variety of prices and features. This study discusses the selection of laptops as a daily driver for students in North Jakarta, researchusing the AHP method to analyze several alternatives that have been determined based on filling priority weights between criteria and criteria, and alternatives with alternativesfor each criterion. The results of this study indicate that the price, processor, and RAM criteria are the three biggest criteria determining laptop selection. The alternative chosen in this study is the ASUS A456UR

Decision Support System Development Based On Android Using Analytical Hierarchy Process (AHP) Method For Determining The Middle Small Business Development Priority In Sorong City

2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
System Development ◽  
Business Development ◽  
Ahp Method ◽  
Small Business Development ◽  
Hierarchy Process

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.

DETERMINING THE DESALINATION UNIT COMPOSITION FOR COSTAL AREAS AND SMALL ISLANDS USE ANALYTIC HIERARCHY PROCESS

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Imam Setiadi ◽  
Dinda Rita K. Hartaja
Keyword(s):  
Analytic Hierarchy Process ◽  
Energy Demand ◽  
Pairwise Comparison ◽  
Small Islands ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Comparison Research ◽  
Hierarchy Process ◽  
Selection Of

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP

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