Modelling and analysis of the flood risk at Cavaillon City, Haiti

2018 ◽  
pp. 68-75
Author(s):  
Adermus Joseph ◽  
Nyankona Gonomy ◽  
Yves Zech ◽  
Sandra Soares-Frazão

In Haiti, the vulnerability of urban populations in river flood corridors has disastrous socio-economic consequences on the living conditions of these communities. Mapping of areas prone to this type of risk is not sufficiently developed in Haiti, which complicates the implementation of strategies for the effective management of flood risk. This paper presents a methodological approach allowing to draw up a risk map of the city of Cavaillon, which is confronted to periodic flooding by the Cavaillon river flowing through the city. The reconstruction of the riverbed and floodplain geometry using a differential GPS and a novel drone-based photogrammetry technique made it possible to construct a hydraulic model of the river and to calculate the flow in the river for scenarios corresponding to different periods of return. The vulnerability of the different areas in the city was established using an Analytic Hierarchy Process. Various criteria of vulnerability were identified and their respective weight progressively determined from discussions between local decision-makers. Finally, considering the extent of the inundated area following recent Hurricane Matthew that particularly affected the zone, a vulnerability mapping was drawn for the town of Cavaillon.

Author(s):  
Nguyen Ba Dung ◽  
Dang Tuyet Minh ◽  
Nguyen Quoc Long ◽  
Le Thi Thu Ha

There are many factors that influence the formation and development of floods, such as rainfall, soil, slope, land cover, drainage, and density. Therefore, a quantitative assessment of their importance is necessary, especially in the determination of flood risk zones, using the Analytic Hierarchy Process algorithm and Geographic Information System. In comparison with other methodologies, an obvious advantage of Analytic Hierarchy Process is the ability to solve multi-variable qualitative and quantitative problems with precise and trustworthy results. This paper presents the application of the Analytic Hierarchy Process algorithm in analyzing and evaluating the level at which various criteria affect flood risk in the Lam River basin. Some of the flood-causative factors considered in this paper are annual rainfall, soil, slope, land cover, drainage density, and relative slope length. These factors were chosen based on the physical conditions of the study area. The research results are the weight of different criteria. The higher the weight, the higher the effect of that criterion on flood risk. The computed weights show that annual rainfall and slope are the factors that contribute the most to flooding, based on decision-makers’ judgement. The results of this article can be used to construct a flood risk zoning map and flood susceptibility map for flood warnings in the Lam River basin, using the Analytic Hierarchy Process method and Geographic Information System technology. New research shows that Analytic Hierarchy Process can be trustworthy when assessing the level of influence of the different factors on determining flood-prone areas in the Lam River basin, as well as other basins.


Author(s):  
Mohsen Dadras ◽  
Helmi Zulhaidi Mohd Shafri ◽  
Noordin Ahmad ◽  
Biswajeet Pradhan ◽  
Sahabeh Safarpour

This study aims at identifying the suitable lands for urban development in Bandar Abbas city based on its real world use regarding specific criteria and sub-criteria. The city of Bandar Abbas is considered as the most important commercial and economic city of Iran. It is also considered as one of the major cities of Iran which has played a pivotal role in the country's development and progress in recent years especially after the end of Iran-Iraq war owing to its embracing the country's main commercial ports. This process has caused the immigration rate into the city to rise significantly over the past 20 years. Thus, the development of the city is meanwhile considered as a high priority. Bandar Abbas city does not have a rich capacity for growth and development due to its special geographical situation being located in coastal border. Among the limitations placed in the city's development way, natural limitations (heights and sea shore) in the northern and southern parts of the city and structural limitations (military centers) in the east and west sides of the city may be referred. Therefore, identifying the suitable lands for urban development within Bandar Abbas city limits is becoming an essential priority. Therefore, different quantitative and qualitative criteria have been studied in order to select and identify these lands. The structures of qualitative criteria for most parts involve ambiguities and vagueness. This leads us to use Fuzzy logic in this study as a natural method for determining the solutions for problems of Multi-criteria decision making (MCDM). In the current research, a combination of MCDM methods has been presented for analysis. To assignee weights of the criteria Fuzzy AHP (analytic hierarchy process) is used for land selection and Fuzzy TOPSIS (method for order priority by similarity to ideal solution) is utilized to choose the alternative that is the most appropriate through these criteria weights. The sensitivity analysis of the results is included in the research.


2013 ◽  
Vol 9 (1) ◽  
pp. 64-89 ◽  
Author(s):  
E. J. Noble

This article examines the role local decision-makers played in the development of Orillia. This small Ontario community exhibited as high a degree of boosterism as that found in much larger centres, and the economic growth of the town was primarily the result of growth strategies pursued by Orillia's entrepreneurial decision-makers. Although this group implemented a variety of successful growth strategies, this study concentrates on two of the most important. First, the businessmen supported a progressive railway policy which brought two competing lines to the community. This action enlarged the town's hinterland and enabled local businessmen to utilize a diverse pattern of buying and selling. Second, the entrepreneurs used the municipal corporation to finance the construction of North America's first municipally owned hydro-electric power system. This development enabled the town to successfully make the transition from a declining commercial centre to a small manufacturing town.


10.5772/56816 ◽  
2013 ◽  
Vol 5 ◽  
pp. 42 ◽  
Author(s):  
Elisa Battistoni ◽  
Andrea Fronzetti Colladon ◽  
Laura Scarabotti ◽  
Massimiliano M. Schiraldi

The success of a New Product Development (NPD) process strongly depends on the deep comprehension of market needs and Analytic Hierarchy Process (AHP) has been commonly used to find weights for customers' preferences. AHP best practices suggest that low-consistency respondents should be considered untrustworthy; however, in some NPD cases – such as the one presented here – this stake can be extremely big. This paper deals with the usage of AHP methodology to define the weights of customer needs connected to the NPD process of a typical impulse buying good, a snack. The aim of the paper is to analyse in a critical way the opportunity to exclude or include non-consistent respondents in market analysis, addressing the following question: should a non-consistent potential customer be excluded from the analysis due to his inconsistency or should he be included because, after all, he is still a potential consumer? The chosen methodological approach focuses on evaluating the compatibility of weight vectors among different subsets of respondents, filtered according to their consistency level. Results surprisingly show that weights do not significantly change when non-consistent respondents are excluded.


2019 ◽  
Vol 5 (2) ◽  
pp. 157-166
Author(s):  
Anjar Pradipta ◽  
Muh. Amin ◽  
Andi Tenri Sumpala ◽  
Muh. Nurtanzis Sutoyo

Swallow's nests are sold as ingredients for soups and raw materials for medicines. Because the price of swiftlet nests is very expensive so many people have started to build a swallow bird house (RBW) by spending a considerable amount of money for swallow bird cultivation. But to build RBW and grow swallow birds requires an exact and optimal location. This study aims to create a system for determining the location of a computerized swallow house construction by implementing the Analytic Hierarchy Process (AHP) method and the Simple Additive Weighting (SAW) method in determining the exact location of swallow bird house construction to reduce the level of loss and error in site selection. The AHP method is used in estimating the value of each parameter that is determined while the SAW method is used in assessing levels. Based on the 6 criteria for swallow bird locations, namely location height, distance from the city center (industry), air temperature, distance from rice fields / plantations, distance from waterways, and distance from other buildings, the decision support system built can be a choice of solutions to facilitate farmers and swallow nest entrepreneurs in determining the exact and optimal location of swallow bird houses.


Author(s):  
Víctor Temprano-García ◽  
Rebeca San José-Cabezudo

In recent years we have witnessed the upsurge in the use of social networks by companies and individuals, the latter being the real protagonists of its development. The diverse execution formats and the multiplicative effects on the reach and influence on equals have changed how organizations communicate with their users, but they have also become a valuable source of information. This chapter aims to understand the behavior of residents and tourists of a city to provide local decision makers insights and pioneer tools to help them design more effective action policies, which may have a positive impact on their cities. The methodological design used is based on the observation and collection of geolocalized data, provided spontaneously by residents and visitors to a town in a real context. Based on the analysis of the photographs that the subjects share about the city and the interactions that take place between the members of the social networks under study, the authors reach the main implications for decision makers to successfully design their policies.


2016 ◽  
Vol 47 (6) ◽  
pp. 24-43 ◽  
Author(s):  
Mauro Luiz Martens ◽  
Marly M. Carvalho

This research identifies the key variables of sustainability in project management and explores the impact of these variables on project success. The methodological approach combined a literature review and an expert panel. The expert panel was conducted in two phases: interviews were conducted with five experts to validate the content of the identified variables, and a forum was held with 11 experts from 10 universities in 6 different countries. Research data were analyzed using content analysis, descriptive statistics, and analytic hierarchy process. Through systematic expert reviews, this research shows a succinct and relevant list of variables and their classification, reflecting the experts’ consensus, which can help practitioners and scholars introduce sustainability into project management. Similarly, the key variables for project success are identified and classified. Finally, the article explores the experts’ perspectives on the impact of sustainability in project success.


2020 ◽  
Author(s):  
Tobias Pilz

<p>Climate change leads to rising temperatures and therefore stimulates the water cycle. As a consequence, extreme events in rainfall and associated flooding are projected to increase in frequency and severity in many regions of the world. Especially in developing countries with high population growth and often unregulated settlement, flood risk may increase due to both increased flood hazard and enhanced exposure. One such example is the megacity of Lagos, Nigeria, belonging to the largest cities in Africa. Floods within the city are recurrent and caused by storm surges from the Atlantic, heavy precipitation, and river floods. Flood risk is an issue and even expected to increase due to enhanced extreme precipitation, sea level rise, enhances storm surges, as well as illegal settlement, poor management, insufficient or blocking of drainage channels, missing early warning systems, and insufficient data.</p><p>The aim of this study is to deliver a first quantification of flood hazard for the city of Lagos based on hydrodynamic simulation with the model TELEMAC-2D. A focus is put on the use of freely available data sources and the design of reproducible workflows in order to enable local decision-makers to individually apply and refine the established workflows. The biggest challenge is the generation of the model mesh as the basis for subsequent hydrodynamic modelling due to limited data availability and the size of the model domain (about 1000 km²).</p>


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