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1

Assessment and mapping of areas at risk of flooding using a combined AHP and GIS multi-criteria analysis model ‒ case study of Sidi Aissa city (Algeria)

Ben-Halima Mohammed, Redjem Ali, Dehimi Salim, Bensaid Abdelkrim

Geomatics, Landmanagement and Landscape

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2025

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no. 1

19--41

EN

Floods are among the most hazardous natural disasters, which pose significant threats to human lifeat both global and national scales due to severe human, material, and environmental losses. The increasing frequency of floods, compared to other natural hazards, highlights the urgent need of their evaluation and the mitigation of their impacts. This study aimed to assess and map flood-prone areas in the city of Sidi Aissa, Algeria, using the analytical hierarchy process (AHP) and geographic information systems (GIS). The city was chosen because of the three rivers running through it. A model combining a multi-criteria statistical approach and GIS was employed. The study focused on analyzing the factors influencing flood occurrence, including land use, elevation, slope, drainage density, distance from river and roads, topographic wetness index (T.W.I), and normalized difference vegetation index (N.D.V.I), To calculate the weights of these factors in the GIS environment, the AHP method was applied, resulting in maps specific to each criterion. The results revealed that land use (21.7%) and distance from river (18.2%) are the most critical factors influencing flood susceptibility and damage to nearby buildings. The study shaped a flood susceptibility map divided into three categories: areas with very low flood susceptibility, accounting for 29% of the total area; areas with moderate flood susceptibility, accounting for 40% and areas highly susceptible to flooding, making up 31%. Furthermore, the study demonstrated the effectiveness of using AHP and GIS in simulating potential floods and identifying flood-prone areas, thereby highlighting their importance in planning and mitigating flood risks in the future.

PL

Powodzie należą do najniebezpieczniejszych klęsk żywiołowych, które stanowią poważne zagrożenie dla życia ludzkiego zarówno w skali globalnej, jak i krajowej ze względu na poważne straty ludzkie, materialne i środowiskowe. Coraz częstsze występowanie powodzi w porównaniu z innymi zagrożeniami naturalnymi podkreśla pilną potrzebę ich oceny i łagodzenia ich skutków. Celem tego badania była ocena i mapowanie obszarów podatnych na powodzie w mieście Sidi Aissa w Algierii przy użyciu procesu hierarchii analitycznej (AHP) i systemów informacji geograficznej (GIS). Miasto zostało wybrane ze względu na trzy przepływające przez nie rzeki. Zastosowano model łączący wielokryterialne podejście statystyczne i GIS. Badanie skupiło się na analizie czynników wpływających na występowanie powodzi, w tym użytkowania gruntów, wysokości, nachylenia, gęstości drenażu, odległości od rzeki i dróg, wskaźnika wilgotności topograficznej (TWI) i znormalizowanego wskaźnika różnicy roślinności (NDVI). Aby obliczyć wagi tych czynników w środowisku GIS, zastosowano metodę AHP, co zaowocowało mapami specyficznymi dla każdego kryterium. Wyniki wykazały, że użytkowanie gruntów (21,7%) i odległość od rzeki (18,2%) są najważniejszymi czynnikami wpływającymi na podatność na powodzie i uszkodzenia pobliskich budynków. Badanie ukształtowało mapę podatności na powodzie podzieloną na trzy kategorie: obszary o bardzo niskiej podatności na powodzie, stanowiące 29% całkowitej powierzchni; obszary o umiarkowanej podatności na powodzie, stanowiące 40% i obszary wysoce podatne na powodzie, stanowiące 31%. Ponadto badanie wykazało skuteczność wykorzystania AHP i GIS w symulowaniu potencjalnych powodzi i identyfikowaniu obszarów podatnych na powodzie, podkreślając tym samym ich znaczenie w planowaniu i łagodzeniu ryzyka powodzi w przyszłości.

2

Trójstopniowy model podejmowania decyzji dotyczących wyboru lokalizacji cementowni z wykorzystaniem metod GIS, MCDM i AHP: studium przypadku w prowincjach Konya Plain Project [KPP] w Turcji

Koç Fadim, Yağcı Ceren, Iscan Fatih

Cement Wapno Beton

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2025

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R. 30, nr 3

180--201

PL

W niniejszym badaniu określono najbardziej odpowiednie lokalizacje dla cementowni przy użyciu systemu informacji geograficznej i wielokryterialnej analizy decyzyjnej [MCDM] w ramach projektu Konya Plain Project [KPP] [prowincje Aksaray, Karaman, Kırıkkale, Kırşehir, Konya, Nevşehir, Niğde, Yozgat]. Warunki fizyczne regionu zostały określone na podstawie raportów oceny oddziaływania na środowisko i opinii ekspertów, a odpowiednie obszary wybrano na podstawie kryteriów technicznych, społecznych, kulturowych i ekonomicznych. W celu określenia najbardziej odpowiednich regionów zastosowano trzyetapowy proces decyzyjny i system punktacji dla prowincji KPP. Ogółem w tych prowincjach wybrano 56 odpowiednich regionów. Jako najbardziej odpowiednie lokalizacje obiektów wybrano 7. i 6. region prowincji Karaman, 5. region prowincji Kırıkkale oraz 1. i 4. region prowincji Konya.

EN

In this study, the most suitable locations for cement factory are identified by using the Geographical Information System and Multi-Criteria Decision Analysis [MCDM] in the Konya Plain Project [KPP] [Aksaray, Karaman, Kırıkkale, Kırşehir, Konya, Nevşehir, Niğde, Yozgat] provinces. The physical conditions of the region were determined based on the Environmental Impact Assessment Reports and expert opinions, and the suitable areas were chosen with technical, social, cultural, and economic criteria. In order to determine the most suitable regions, A three-stage decision-making process and Scoring System has been used for KPP Provinces. Overall, 56 suitable regions were decided among these provinces. The most suitable facility locations were chosen 7th and 6th region of Karaman province, 5th region of Kırıkkale province, 1st and 4th region of Konya Province.

3

Evaluation of the factors determining thermal comfort and occupational health conditions of employees in multi-storey business buildings in the light of expert experiences

Cal Murat, Yilmaz Fatih

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2025

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Vol. 73, nr 1, Special Section

art. no. e152215

EN

Previous studies generally focused on the indoor temperature of buildings and air supplies to their environment. The effect of outdoor pollutants on thermal conditions has also attracted some interest in recent years. However, the number of studies on other factors that may potentially affect thermal comfort and health in high-rise buildings is limited. A structured analytical hierarchy process and an improved data envelopment analysis method are used in this study to determine the indoor and outdoor spatial features and climatic effects that influence thermal comfort in multi-storey business buildings. The impact levels of these factors on thermal conditions are determined with heuristic algorithms. Further, two climate zones in two countries are compared in terms of the factors that affect thermal comfort and their individual impact levels. The most critical criterion for Kuwait is external insulation features, whereas for Turkey it is indoor air conditioning. The most critical sub-criterion is temperature for Kuwait, whereas for Turkey it is insufficient heat and light insulation of windows. Data envelopment analysis yields that respiratory health diseases are the most critical effect in Kuwait, and work accidents are the most important effect in Turkey. Temperature and humidity play a significant role in thermal comfort in Kuwait. Insulation and air conditioning are crucial factors in thermal comfort conditions in Turkey.

4

Analysis of inhibiting factors in shipyards in classterizing shipyards on the Northen coastal of ACEH Indonesia using the fuzzy AHP method: a preliminary study

Rizwan T., Chaliluddin M. A., Nuvus H., Arif M., Muchlis Y., Akhyar A.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

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2024

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Vol. 18 No. 2

409--414

EN

The fishing shipyard in Banda Aceh City is a privately owned shipyard and is managed in a family manner. The shipyard here is active in carrying out maintenance, repair and construction of new ships when there is demand from consumers. Shipyards in Banda Aceh City generally make ships made of wood. The problem that is currently being faced is that there are many abandoned ships due to lack of finance, natural resources, human resources and the environmental, this is an obstacle to the progress and development of shipyards. The purpose of this study is to determine the inhibiting factors that exist in shipyards in the city of Banda Aceh and find alternative solutions to these problems. The method used in this study is a survey method used to look at existing symptoms and collect data on factors related to research variables and then analyzed using the Fuzzy AHP method. The results of this study indicate that the financial inhibiting factor is the most influential factor in shipyards with a resulting value of 0.4635, the inhibiting factor of Natural Resources is worth 0.35675, the inhibiting factor of Human Resources is worth 0.2865 and the inhibiting factor from the environment is the inhibiting factor which is the lowest or less influential with a value of 0.14325. The alternative solutions to financial problems are capital loans and investments. An alternative for natural resources is the addition of a minimum stock to anticipate stock scarcity and delays in the delivery of materials and tools. The alternative for human resources is the existence of an office, organizational structure, and division of tasks as well as awareness of occupational health and safety. As for the alternatives for the environment, namely the need for buildings or installation of tarpaulins for areas where ships are built, good land management and studies of other natural impacts.

5

Mapping Groundwater-Potential Zones Using Geospatial and Decision-Making Approaches: Case Study of Ghiss-Nekkour Watershed in Northeastern Morocco

Mazzourh Abdessamad, Taher Morad, Ouhadi Abdellah, Dakak Houria, Dekkaki Hinde Cherkaoui

Geomatics and Environmental Engineering

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2024

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Vol. 18, no. 6

47--71

EN

Accelerated population growth has led to a heightened demand for water resources, resulting in a notable decline in underground water storage – especially in coastal areas. To effectively manage this crucial resource, the objective of this research work is to identify potential groundwater recharge areas in the Ghiss-Nekkour watershed using Saaty’s multi-criteria analysis combined with GIS and remote-sensing techniques. Initially, this work involved gathering spatial information that was related to the various parameters that govern recharge and express it in thematic maps: slope, altitude, geology, rainfall, soil, land cover, and drainage density. A reclassification was made according to their degrees of involvement in the recharge process by Saaty’s analytical hierarchy process (AHP); this was followed by a weighting of these parameters. These were subsequently integrated into a GIS in order to establish a map of potential groundwater recharge zones in the Ghiss-Nekkour watershed. The groundwater-potential map resulted in five classes: – good (165 km2) and excellent (0.9 km2) aquifer recharge potentials – situated in north and southwest portions of study area; – moderate (617 km2) aquifer recharge potentials – located in western and southern parts of watershed; – fair (551 km2) and poor (44 km2) aquifer recharge potentials – located in central zone and southeastern part of Ghiss-Nekkour watershed. Field surveys that were conducted in November 2022 and October 2023 validated the obtained results.

6

Suitability analysis of solar photovoltaic farm locations using GIS: a case study of Nakuru County, Kenya

Wiso Vincent, Kiema John Bosco Kyalo

Geoinformatica Polonica

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2024

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T. 23

7--15

EN

Renewable energy sources play a crucial role in reducing global reliance on fossil fuels. Advancements in technology has enabled harnessing of renewable energy from solar, wind, and ocean tides to be viable. Solar energy, in particular, has gained significant global recognition as a renewable energy alternative. This study integrates Multi-Criteria Evaluation (MCE) and Geographic Information Systems (GIS) to assess Solar Photovoltaic Farms (SPVFs) suitability in Nakuru County, Kenya. The study considered seven criteria including; slope, solar radiation, aspect, land use land cover, proximity to roads, power transmission lines, and settlements. These were evaluated using the Analytical Hierarchy Process (AHP) to generate weights for each decision criterion. The weights were used to overlay independent criteria maps that were formed as a result of the reclassification of each criterion from which a composite rated map was developed. Similarly, a composite restriction map was created by leveraging on constraint criteria including; protected ecosystems, water bodies, settlement areas, slope over 20%, proximity to roads, proximity to the transmission line, and land use land cover. Results obtained from overlaying the composite rated and restricted maps reveal Nakuru County’s general suitability for SPVFs, except for Kuresoi North and Kuresoi South divisions which exhibit low solar radiation. Extremely-suitable areas accounted for 3.00% (224.14 km²), very-suitable areas 34.05% (2541.45 km2), moderately-suitable areas 7.76% (579.55 km2), marginally-suitable areas 1.47% (109.77 km2) while least-suitable areas covered 0.02% (1.39 km2). The study provides valuable data and information for government agencies and investors to identify potential Photovoltaic (PV) system sites. Furthermore, the government is encouraged to establish a favorable framework for solar PV exploration and provide incentives to the private sector to facilitate the establishment of SPVFs.

PL

Odnawialne źródła energii odgrywają kluczową rolę w zmniejszeniu globalnego zapotrzebowania na paliwa kopalne. Postęp technologiczny umożliwił czerpanie odnawialnej energii ze słońca, wiatru i pływów oceanicznych. W szczególności energia słoneczna zyskała uznanie w skali globalnej jako odnawialna alternatywa energetyczna. Niniejsze badania integrują ocenę wielokryterialną (Multi-Criteria Evaluation – MCE) i systemy informacji geograficznej (Geographic Information Systems – GIS) dla oceny możliwości utrzymania fotowoltaicznych farm słonecznych (Solar Photovoltaic Farms – SPVF) w hrabstwie Nakuru, Kenia. Badania brały pod uwagę siedem kryteriów: nachylenie, nasłonecznienie, kierunek ekspozycji, użytkowanie i pokrycie gruntu, bliskość dróg, linie wysokiego napięcia oraz obecność osiedli ludzkich. Były one oceniane przy użyciu metody hierarchicznej analizy problemów (Analytical Hierarchy Process – AHP), tak aby dla każdego kryterium decyzyjnego wygenerować wagi. Wagi zostały użyte by wypełnić mapy niezależnymi kryteriami, utworzonymi w wyniku ponownej klasyfikacji każdego kryterium, z których utworzono złożoną mapę z uwzględnieniem rang. Podobnie utworzono złożoną mapę ograniczeń, poprzez wykorzystanie kryteriów ograniczających takich jak: ekosystemy chronione, zbiorniki wodne, osiedla ludzkie, nachylenie terenu powyżej 20%, bliskość dróg, bliskość linii przekaźnikowych, użytkowanie i pokrycie gruntu. Wyniki otrzymane z utworzenia złożonych map ocen i ograniczeń wskazują na to, że hrabstwo Nakuru zasadniczo nadaje się do wykorzystania SPVF, z wyjątkiem obszarów Północnego Kuresoi i Południowego Kuresoi, które wykazują niskie natężenie promieniowania słonecznego. Obszary wyjątkowo odpowiednie dla energii słonecznej stanowią 3.00% (224.14 km²), bardzo odpowiednie stanowią 34.05% (2541.45 km2), umiarkowanie odpowiednie – 7.76% (579.55 km2), mało odpowiednie – 1.47% (109.77 km2), a najmniej odpowiednie pokrywają 0.02% (1.39 km2). Badania dostarczają wartościowych danych i informacji dla agencji rządowych i inwestorów, którzy chcieliby wskazać miejsca możliwej instalacji systemów fotowoltaicznych (PV). Ponadto zachęca się rząd do utworzenia odpowiedniego ramowego planu badań nad PV i wprowadzenie ułatwień dla sektora prywatnego, aby umożliwić zakładanie SPVFs.

7

Prioritizing Vulnerability Factors of Global Food Supply Chains by Fermatean Fuzzy Analytical Hierarchy Process

Selin Yalcin, Ertugrul Ayyildiz

Foundations of Computing and Decision Sciences

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2024

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Vol. 49, No. 3

303--320

EN

In response to heightened competition arising from globalization, companies are crafting strategies to sustain their operations. However, these strategies also introduce risks that require meticulous management. The onset of the COVID-19 pandemic has exacerbated disruptions in supply chains, including the vulnerable food supply chain (FCS), strained further by escalating food prices and resource depletion in recent times. Within this context, the vulnerability of global FSCs has escalated significantly due to government-imposed lockdowns during the pandemic. This study aims to comprehensively investigate the multifaceted disruptions in global FSCs caused by the COVID-19 pandemic. By delving deep into the complexities of these disruptions, it seeks to uncover the key factors contributing to the vulnerability of supply chains. Employing a blend of literature review and expert opinions, the study identifies and prioritizes factors using the Fermatean Fuzzy Analytical Hierarchy Process (FF-AHP). A two-level criteria framework consisting of three main criteria and eleven sub-criteria has been developed, taking into account expert recommendations and previous studies. According to the results obtained, it has been revealed that the Managerial factors within the main criteria are the most significant factors in the fragility of the FSC. Among these factors, it has been observed that Technology, Corporation, and Inventory Management are the leading criteria causing to the vulnerability of the FSC. This is the first study to investigate the vulnerabilities of FSC using fuzzy logic. The research underscores the imperative of comprehensive risk management strategies that encompass all stakeholders within the supply chain, particularly during unanticipated crises like pandemics.

8

Mapping Groundwater Potential Zones with GIS-RS-AHP Under Climate Change – Case of Mostaganem Plateau, Northwest Algeria

Chemirik Cherifa Hanene Kamelia, Baahmed Djelloul, Nedjai Rachid, Boudjemline Djamel, Mahcer Ikram

Ecological Engineering & Environmental Technology

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2024

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Vol. 25, iss. 6

72--89

EN

In arid regions with increasing water needs due to growing populations and agriculture, heightened by climate change, groundwater arises as a crucial asset. This research evaluated climate change influence on groundwater potential zones (GPZs) during 2000 and 2014, within the Mostaganem plateau’s alluvial aquifer in Algeria, using a methodology that integrates analytical hierarchy process (AHP), remote sensing (RS) and geographic information system (GIS). Forecasts for 2030 and 2050 were conducted using the QGIS MOLUSCE plugin. Findings reveal a (30.29%) decrease in zones of moderate potential, the vanishing of high potential sectors, alongside a (7.53%) and a (22.1%) rise in fair potential and low potential, respectively, from 2000 to 2014. Between 2014 and 2030, fair and moderate potential decrease by 6.62% and 0.48%, while low potential zones see a 7.47% increase. These shifts are linked to changes in rainfall distribution, and land use land cover (LULC), notably intensive agriculture of herbaceous crops. Slight changes are anticipated between 2030 and 2050, possibly due to the onset of a resilience equilibrium from 2030 onwards. These findings are crucial as a preliminary investigation, highlighting the necessity of optimal groundwater management.

9

Combination of Geographic Information Systems and Multicriteria Analysis for Waste Landfill Site Selection – A Case Study of Kenitra Province, Morocco

Titafi Asmae, Naoui Basma, Khaddari Achraf, Bejjaji Zohra, Tayebi Mohamed, Latifa Ben Akka, El Idrissi Soukaina

Ecological Engineering & Environmental Technology

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2024

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Vol. 25, iss. 12

55--69

EN

In the last decade, Morocco has experienced increased population, urban expansion, and improper environmental management, leading to a significant rise in waste production. This situation has exacerbated waste landfill issues, particularly in coastal areas such as Kenitra province, in the north-western part of Morocco. In this region, landfills have been responsible for the degradation and pollution of air, soil, and water resources. Therefore, identifying suitable sites for waste landfills is essential for achieving sustainable environmental management in the study area. The objective of this study was to provide, for the first time, a map of suitable waste landfill sites in Kenitra province. To achieve this objective, a database consisting of nine parameters was collected from environmental and socio-economic sources. The data was gathered and spatialized using various techniques. Subsequently, the analytical hierarchy process (AHP) and geographic information system (GIS) were employed to generate the final map of suitable waste landfill sites. The results indicate that the study area can be classified into four categories: 78% of the area is not suitable for landfill development, while areas classified as less suitable, moderately suitable, and highly suitable constitute 1%, 17%, and 4% of the surface, respectively. On the basis of these findings, three potential landfill locations that meet stringent environmental, social, and technical criteria have been proposed. This work represents the first attempt at improving landfill management in Kenitra province. The combination of AHP and GIS techniques offers a novel approach to landfill site selection. However, additional studies could be conducted, taking into account the results of this study, other parameters, and new data that may become available in the future. The map of suitable landfill sites provides a scientific foundation and could aid in developing the management strategies to mitigate pollution and guide territorial planning in the study area.

10

Assessment of Nonhomogeneous Structures in Steel Contents in Terms of Fatigue Resistance Using Analytical Hierarchy Process

Al-Maliki Ali, AL-Bedhany Jasim H., Mankhi Tahseen Ali, Legutko Stanislaw

Advances in Science and Technology. Research Journal

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2024

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Vol. 18, no. 1

334--348

EN

Fatigue resistance of steel containing non-metallic inclusions (NMIs) varies widely, depending on many criteria; therefore, finding the most compromised types of NMIs is a sober objective that may significantly reduce severe damage and premature failure in many applications, such as bearings, gears, transmission shafts, etc. The Multiple Criteria Decision-Making (MCDM) methodologies have been used in this study to assess the more effective NMI types using the Analytical Hierarchy Process (AHP) by Expert Choice (EC) software. The five most common types of non-metallic inclusions selected are oxides, sulfides, carbides, silicates, and nitrides, based on different criteria: size, shape, distribution, mechanical properties, and quantity. The results showed that the oxide NMIs are the optimum type relative to the other four options regarding the fatigue resistance of about 35%, probably due to their spherical shape and small size. The most dominant criterion is mechanical properties, which have an effective percentage of 34.6% among the other criteria. It means that the reduction of other types rather than oxide NMIs probably enhances the fatigue resistance of the steel.

11

Socio-economic factors in the event of an oil spill in the North Adriatic

Suban V., Pegan U., Demšar J., Tuljak-Suban D., Perkovič M., Bandelj V.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

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2023

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Vol. 17 No. 3

685--691

EN

Should an oil spill of tier III magnitude occur in the Northern Adriatic, there is a high probability that the oil will reach and pollute the surrounding coastline. Therefore, it is vital to conduct coastal vulnerability studies to develop priority plans and coastal vulnerability maps to help first responders protect the coastline. As there is no common contingency plan for oil spills in the Northern Adriatic, three countries, Italy, Slovenia, and Croatia, which share the area, decided to participate in the North Adriatic Incident Response System (NAMIRS) project. Part of the project was to conduct a coastal vulnerability study in the area. One of the three pillars for determining vulnerability, in addition to the ecological and geomorphological factors, is the socioeconomic aspect, which was studied as part of the research. As there are no clear scientific methods to determine the vulnerability of the socio‐economic factors, a survey was conducted where the participants gave their subjective opinion on its value. This was done through three workshops organised in each participating country, where professional stakeholders familiar with the state of socio‐economic activities assessed their vulnerability. The values obtained were combined with the assessments of the geomorphological and environmental factors and gathered in a coastal vulnerability layer, which was incorporated into a GIS as a standard coastal vulnerability map that will help first responders prioritise coastal protection. The research results will also be useful globally and not just in the area studied by NAMIRS, since the method used is readily applicable to any part of the world.

12

A Comparative Analysis of Analytical Hierarchy Process and Fuzzy Logic Modeling in Flood Susceptibility Mapping in the Assaka Watershed, Morocco

Khaddari Achraf, Jari Abdessamad, Chakiri Saïd, El Hadi Hassan, Labriki Allal, Hajaj Soufiane, Goumghar Lahcen, El Harti Abderrazak, Abioui Mohamed

Journal of Ecological Engineering

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2023

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Vol. 24, nr 8

62--83

EN

The Assaka watershed is one of the largest watersheds in the Guelmim region in southern Morocco. It is frequently exposed to the many flooding events that can be responsible for many costly human and material damages. This work illustrates a decision-making methodology based on Analytical Hierarchy Process (AHP) and Fuzzy Logic Modelling (FLM), in the order to perform a useful flood susceptibility mapping in the study area. Seven decisive factors were introduced, namely, flow accumulation, distance to the hydrographic network, elevation, slope, LULC, lithology, and rainfall. The susceptibility maps were obtained after normalization and weighting using the AHP, while after Fuzzification as well as the application of fuzzy operators (OR, SUM, PRODUCT, AND, GAMMA 0.9) for the fuzzy logic methods. Thereafter, the flood susceptibility zones were distributed into five flood intensity classes with very high, high, medium, low, and, very low susceptibility. Then validated by field observations, an inventory of flood-prone sites identified by the Draa Oued Noun Hydraulic Watershed Agency (DONHBA) with 71 carefully selected flood-prone sites and GeoEye-1 satellite images. The assessment of the mapping results using the ROC curve shows that the best results are derived from applying the fuzzy SUM (AUC = 0.901) and fuzzy OR (AUC = 0.896) operators. On the other hand, the AHP method (AUC = 0.893) shows considerable mapping results. Then, a comparison of the two methods of SUM fuzzy logic and AHP allowed considering the two techniques as complementary to each other. They can accurately model the flood susceptibility of the Assaka watershed. Specifically, this area is characterized by a high to very high risk of flooding, which was estimated at 67% and 30% of the total study area coverage using the fuzzy logic (SUM operator) and the AHP methods, respectively. Highly susceptible flood areas require immediate action in terms of planning, development, and land use management to avoid any dramatic disaster.

13

Selection of the best aggregates to be used in road construction with TOPSIS method

Bilim Ni̇yazi, Güneş Hamza

Gospodarka Surowcami Mineralnymi

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2023

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T. 39, z. 2

145--164

EN

Road construction has been an ongoing engineering practice throughout human history. Although road construction technologies have changed over time, the raw material used has not changed for centuries, and it seems that it will not change in the upcoming centuries. Although some standards are used to determine the aggregate quality in road construction works, it is often complex and laborious to identify the aggregates that best meet the standards. Long-lasting and high-quality roads can be built and the most suitable aggregate is selected for the road. This study aims to select the most suitable aggregates used in hot-mix asphalt pavement production for road construction. In this study, multi-criteria decision-making methods were used for the selection of the aggregate that provides the best conditions. Aggregates used in constructing roads within the provincial borders of Ankara are produced from six stone quarries. To rank these aggregates and determine the ideal quarry for hot-mix asphalt production, the analytical hierarchy process (AHP) and the technique for order preference by similarity to an ideal solution (TOPSIS) method, which are multi-criteria decision making (MCDM) methods, were used. The results obtained from the tests on aggregates and hot-mix asphalts (HMA) were compared with the the best results based on the maximum and minimum limits determined in the standards. By comparing the the best results of the standards with the test results of the aggregates, weight scores were made for each test. Weight scores were scored and classified using the AHP and TOPSIS multi-criteria decision-making methods. As a result, the aggregate with the highest score and the quarry area represented by the aggregate were determined as the most suitable for hot-mix asphalt construction.

PL

Budowa dróg była stałą praktyką inżynierską w całej historii ludzkości. Choć technologie budowy dróg zmieniały się na przestrzeni dziejów, to stosowany surowiec nie zmienia się od wieków i wydaje się, że nie zmieni się w kolejnych stuleciach. Chociaż niektóre normy są stosowane do określania jakości kruszyw w robotach drogowych, to często skomplikowane i pracochłonne jest uszeregowanie kruszyw spełniających te normy. Trwałe i wysokiej jakości drogi można budować przy użyciu najodpowiedniejszego kruszywa dobranego do drogi. Niniejsze opracowanie ma na celu wybór najodpowiedniejszych kruszyw do produkcji nawierzchni asfaltowych na gorąco do budowy dróg. W niniejszym badaniu zastosowano wielokryterialne metody decyzyjne do wyboru agregatu, który zapewnia najlepsze warunki. Kruszywa wykorzystywane do budowy dróg w granicach prowincji Ankary produkowane są w sześciu kamieniołomach. Aby uszeregować te agregaty i określić idealny kamieniołom do produkcji gorącej mieszanki asfaltowej, zostały użyte: analityczny proces hierarchiczny (AHP) i technika preferencji zamówień na podstawie podobieństwa do metody idealnego rozwiązania (TOPSIS), które są metodami wielokryterialnego podejmowania decyzji (MCDM). Wyniki uzyskane z badań kruszyw i asfaltów na gorąco (HMA) porównano z najlepszymi wynikami wynikającymi z maksymalnych i minimalnych limitów określonych w normach. Porównując najlepsze wyniki wzorców z wynikami testów agregatów, dla każdego testu wykonano oceny wagowe. Oceny wagowe zostały ocenione i sklasyfikowane przy użyciu wielokryterialnych metod podejmowania decyzji, AHP i TOPSIS. W rezultacie kruszywo z najwyższą punktacją i obszar kamieniołomu reprezentowany przez kruszywo zostały uznane za najbardziej odpowiednie do budowy gorących mieszanek mineralno-asfaltowych.

14

Selection of Robot for Contour Crafting Using Analytical Hierarchy Process

Shanmugasundaram Senthilraja, Murugan Chidhembaram Raja Muthaiah

Civil and Environmental Engineering Reports

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2023

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Vol. 33, no. 4

123--150

EN

The use of robotic equipment and a new technique called contour crafting allows for the construction of buildings at lower labor and material costs. The selection of the type of robot is an important factor that affects the overall performance of the contour crafting (CC) system. Various robot configurations, such as gantry, cylindrical, and SCARA, may be employed for contour crafting. There are benefits and drawbacks to using different types of robots for various tasks, including cost, work volume, material compatibility, and precision. Identifying a proper robot using the multi-criterion decision-making (MCDM) technique is crucial for successful building automation. This article uses the analytical hierarchy process (AHP) method to rank the best robots according to several characteristics. Cartesian robots, cylindrical robots, and SCARA robots were evaluated based on cost, accuracy, work volume, surface finish, type of profile, and speed. The results showed that the gantry-type robot is the most suitable option, while the cylindrical robot is unsuitable for building construction due to lower accuracy.

15

Remote sensing and multi criterion analysis for identifying suitable rainwater harvesting areas

Debebe Yalembrhan, Otterpohl Ralf, Islam Zubairul

Acta Geophysica

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2023

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Vol. 71, no. 2

855--872

EN

Water scarcity and soil erosion are the main constraints small holder farmers are facing in Tigray, the northern most part of Ethiopia. Both very high and very low precipitation can cause a damage to agriculture which is the case in semi-arid regions like Tigray. While too little rainfall cannot support the growth of crops resulting in crop failure, the short but intense rainfall also causes a runoff thereby washing away essential soil nutrients. Installation of different micro/macro-catchment rainwater harvesting can address both water scarcity and soil erosion if they are properly designed prior to construction. This research was intended to develop a methodology for identifying suitable rainwater harvesting (rwh) sites by using weighted overlay analysis. It also utilizes Ahp (analytical hierarchy process) as effective multi-criterion decision-making tool in eastern Tigray at Kilte Awlaelo district on an area of 1001 km2 . This method was chosen because it is simple to use, cost effective, flexible and widely adopted. Physical, hydrological, climate and socio-economic aspects were taken into account during criteria selection. The result indicated four suitability classes with 8.74% highly suitable areas (85.25 km2 ), 56% suitable areas (550.75 km2 ), 30.8% moderately suitable areas (303.2 km2 ) and 4.46% less suitable areas (43.87 km2 ). The produced rwh suitability map was also validated by both ground truth on google earth pro and a field trip to the study site. In situ and ex situ rwh including bench terraces, wells, and enclosure areas were identified during the field visit that verified the suitability model. Finally, depending on weight and scale of criteria and sub-criteria that matched to each identified suitable areas, different micro-catchment and macro-catchment techniques of water harvesting are recommended. This methodology can be utilized as decision-making tool for rwh practitioners, local and foreign organizations working on soil water conservation programmes and policy-makers during their early planning stages.

16

Optimization of innovation features in mobile-based attendance application

Katrilia Tiya, P.W. Anggoro, P.K. Dewa

Management Systems in Production Engineering

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2022

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nr 1 (30)

18--26

EN

Improved Human Resources Performance can be realized in the employee’s absence. The sophistication of technology to accommodate the absence is the use of a Mobile-Based Attendance Application. Attendance can be used to measure employee performance. One of the measuring tools in measuring performance is the Key Performance Indicator (KPI). KPI values can be obtained from the Mobile-based Attendance Application, as currently implemented by an IT Company. But in its development, there is a shortage on the application features of Daily Attendance, Leave, Report Recaps Attendance and Report Recaps Leave. The value engineering method with the Analytical Hierarchy Process is used in this paper to obtain prioritized alternatives in the development of application feature updates. The results of the research show that the alternative with the largest percentage is owned by Alternative IV (45.6%). These results indicate that this alternative can be used as a recommendation for renewal of attendance application features on IT Company. Alternative IV shows optimal results such as the realization of application feature requirements for users, consumption of fewer workdays for 1-2 days, low costs, easy-to-understand feature design, and uncomplicated programming techniques.

17

An analytical hierarchy process-based decision making for sustainable medical devices development

Kritchanchai Duangpun, Wahab Siti Norida, Tan Albert, Mak Taisy

LogForum

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2022

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Vol. 18, no. 4

481--493

EN

Background: The medical device industry needs to be sustainable and should consider the safest, trusted quality and accessibility for use when they are required for patient diagnostic procedures. This study is conducted to identify the factors influencing sustainable development of medical devices. Methods: The analytical hierarchy process (AHP) is being adopted to prioritize the influencing factors. Based on the classified criteria, the alternative factors are evaluated and compared with each other using AHP to make an optimal selection. Results: The findings show that there are six main factors and seventeen sub-factors in this study that can support the development of sustainable medical devices. This study provides useful information for the medical device supplier to improve their current and future product design toward sustainable medical device development. Conclusions: This study adds to the understanding of sustainable medical device development and its consequences on the intention to use from the consumer's perspective.

18

Delineating suitable site for settlement in potential earthquake vulnerable areas using spatial multi-criteria decision analysis in the Sukabumi regency, Indonesia

Ambarwulan Wiwin, Nahib Irmadi, Widiatmaka Widiatmaka, Dewi Ratna Sari, Munajati Sri Lestari, Suwarno Yatin, Sutrisno Dewayany, Suprajaka Suprajaka

Journal of Water and Land Development

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2022

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no. 53

10--21

EN

Land suitability assessment is an important stage in land use planning that guides the direction of optima land use. The objective of this study was to select a suitable location for settlements in earthquake-prone areas using the integration of the Analytical Hierarchy Process (AHP) and Geographical Information System (GIS). In total, six maps were considered to determine a suitable location for settlements, namely topography, soil, geology, land cover/land use, a regional spatial planning pattern map, and an earthquake vulnerability map. The results showed that in medium earthquake-prone areas, the suitable land area which are available for settlement was 90.25 km2 (46.36% of the total land area available - 194.68 km2). Whereas in highly earthquake-prone areas, the suitable and available land area was 528.11 km2 (70.25% of the total land area in the high vulnerability zone - 751.81 km2). The research proved that AHP and GIS integration is very effective and robust for mapping land suitability in earthquake-prone areas. The results of the analysis can be used by planners to prioritize settlement development in the Sukabumi regency. The methodology developed is recommended to be applied in selecting locations for settlements in other parts of Indonesia.

19

AHP and GIS-Based Site Selection for a Sanitary Landfill: Case of Settat Province, Morocco

Benezzine Ghizlane, Zouhri Abdeljalil, Koulali Yahya

Journal of Ecological Engineering

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2022

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Vol. 23, nr 1

1--13

EN

In Morocco, solid household waste is often disposed of in open air in unsuitable sites, causing adverse effects on humans and the environment. In the province of Settat, there are eight uncontrolled landfills. The present study aimed to determine the most suitable sites from an environmental and economic point of view to ensure good management on a regional scale. The investigation involved a combination of a multi-criteria method (the AHP analytical hierarchy process) and a GIS geographic information system (ArcGIS) with ten criteria: distance from the ground water, water surfaces, drilling, settlements, forests, roads, highway, land use, slope, and elevation. The suitability map showed that about 18.5% of the study area is suitable for installing a sanitary landfill.

20

Use of analytical hierarchy process in dairy cattle barn site selection

Delice Hatice, Yaslıoglu Erkan

Infrastruktura i Ekologia Terenów Wiejskich

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2022

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nr I/1

75--83

EN

The first thing to do when planning dairy cattle barns is to determine a suitable management location. Site selection is a very important decision, as it will be difficult and costly to compensate for the mistakes made after the establishment of the enterprise. Analytical Hierarchy Process (AHP), which is used in the solution of complex problems, creates a hierarchical structure in the decision-making process in the form of purpose, criteria, sub-criteria and alternatives. AHP is defined as the method of choosing the best among many alternatives. In this study, 5 main criteria (topography, land use, marketing conditions, environmental factors and infrastructure adequacy) and 20 sub-criteria were determined in order to determine suitable areas for dairy cattle barns. In order to determine the weighted values of the criteria, a total of 30 surveys were conducted with academicians who are experts in their fields, agricultural engineers working in the livestock sector and officials working on animal production in institutions.According to the results of the survey, it has been revealed that the most important criterion among the main criteria is environmental factors. Considering the paired comparison results of the sub-criteria; it was concluded that among the topography criteria, the importance levels of the slope criteria are higher than the others. Besides, land use capability among the land use criteria; milk processing potential among marketing conditions criteria; distance to settlements among environmental factors criteria; among the criteria of environmental factors, distance to settlement areas and distance to drinking water basin protection areas; among the infrastructure adequacy criteria, proximity to electricity services are higher than the others.