scholarly journals Assessment of flood hazard in Owerri West, Imo State, Nigeria using Analytical Hierarchical Process and Index Based Approach

2021 ◽  
Vol 12 (2) ◽  
pp. 042-047
Author(s):  
Princecharles Chukwuemeka Anyadiegwu ◽  
Joel Izuchukwu Igbokwe ◽  
Adeyemi James Adeboboye
Keyword(s):  
Network Flow ◽  
Flood Hazard ◽  
Hazard Index ◽  
Soil Classification ◽  
Vulnerability Index ◽  
Area Coverage ◽  
Analytical Hierarchical Process ◽  
Flood Vulnerability ◽  
Imo State ◽  
Study Results

This study aimed at an assessment of flood hazard areas in Owerri Imo State, Nigeria using analytical hierarchical process and index-based approach. The study objectives were to: establish the geophysical factors that contribute to flooding in the study area; classify the established geophysical factors according to the level of flood risk; calculate the reliability index of the classified geophysical factors; determine the flood vulnerable areas using analytical hierarchical process and flood hazard index; and to produce a vulnerability index map defining the extent of flooding vulnerability in the study area. The methodology incorporated in this study involved acquisition of remotely sensed imageries of the study area, pre-processing, Image classification, modelling slope, watershed, Drainage Network, flow accumulation, Soil Classification, classification and standardization, pairwise comparism matrix, normalized weighted Matrix, consistency index check and flood hazard index modelling. The study results revealed that In Owerri West, high flood vulnerability occupied 1.54% with an area coverage of 817.78 hectares, moderate flood vulnerability occupied 28.37% with an area coverage of 15031.98 hectares, low flood vulnerability occupied 24.97% with an area coverage of 13228.25 hectares and no flood vulnerability occupied 1.67% with an area coverage of 882.17 hectares. From the results achieved and the experiences gathered, analytical hierarchy process and flood hazard index-based modelling approach is recommended as it is a robust and efficient tool for mapping flood vulnerability while incorporating robust factors that contribute to flood and having a consistency judgement which judges the reliability of the weights of the factors used during modelling.

scholarly journals Assessment of Wave Storm-Induced Flood Vulnerability in Rhodes Island, Greece

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 2978
Author(s):  
Fragkiska-Karmela Gad ◽  
Maria Chatzinaki ◽  
Dimitris Vandarakis ◽  
Chara Kyriakidou ◽  
Vasilios Kapsimalis
Keyword(s):  
Extreme Events ◽  
Flood Hazard ◽  
Vulnerability Index ◽  
Storm Events ◽  
Peak Period ◽  
Flood Vulnerability ◽  
Northwestern Region ◽  
Run Up ◽  
Southeastern Region ◽  
Very High

Coastal areas are threatened by extreme meteorological phenomena, such as wave storms. Therefore, the analysis of such events, such as providing information for their potential hazards assessment, is a key element in coastal management. In this study, a preliminary assessment of flood vulnerability due to storms was performed in Rhodes Island, Greece. Firstly, storm events were defined in terms of significant wave height, peak period, and duration, and they were grouped by means of cluster analysis into five classes (from weak to extreme) reflecting the intensity of each event. Subsequently, flood hazard was assessed by using an empirical formula for wave run-up calculations on cross-shore profiles and storm surge data at the region. Finally, a Flood Vulnerability Index (FVI) was used for assessing vulnerability according to a scale from very low to very high. The most intense storms were found to occur in the eastern, southeastern, and southern part of the island. More than 60% of storms were classified as weak, while extreme events were found to occur with a frequency of less than 2.5%. Regarding flood hazard and vulnerability, the maximum values of wave run-up were calculated in the southeastern region, but the most vulnerable part was found to be the northwestern region, as the FVI was assessed as very high for weak and extreme events.

Physical flood vulnerability assessment of buildings in Kota Bharu, Malaysia: an indicator-based approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismaila Usman Kaoje ◽  
Muhammad Zulkarnain Abdul Rahman ◽  
Nurul Hazrina Idris ◽  
Tze Huey Tam ◽  
Mohd Radhie Mohd Sallah
Keyword(s):  
Vulnerability Assessment ◽  
Flood Hazard ◽  
Vulnerability Index ◽  
Flood Vulnerability ◽  
Content Type ◽  
Gis Environment ◽  
Physical Elements ◽  
Damage Mapping ◽  
Flood Vulnerability Assessment ◽  
Flood Vulnerability Index

Purpose The purpose of this paper is to introduce a geospatial approach for buildings flood vulnerability assessment using an indicator-based method (IBM) to support flood risk assessment and mapping of physical elements at risk in Kota Bharu District, Kelantan, Malaysia. Design/methodology/approach The study developed an indicator-based approach to undertake physical flood vulnerability assessment of buildings. The approach takes into consideration flood hazard intensity, building characteristics and structures surrounding the environment as factors that influence flood vulnerability. The aggregation of the total flood vulnerability index is carried out in a geographic information system (GIS) environment. Findings The results provide a spatial representation of buildings flood vulnerability index in Kota Bharu Malaysia, and the degree of expected vulnerability is expressed on a scale between 0 to 1 (low damage to total damage). Mapping flood vulnerability index of buildings should be considered in future flood mitigation and evacuation planning. Originality/value Unlike other indicator-based methods (IBMs) developed for physical flood vulnerability assessment, in the current study, hazard intensity has been considered and incorporated in the physical flood vulnerability model.

scholarly journals GIS Based Method for Flood Hazard Assesment in Kobe River Watershed - North Maluku Province

2021 ◽  
Vol 328 ◽  
pp. 04019
Author(s):  
Nani Nagu ◽  
A. Latif Lita ◽  
H Bebi ◽  
Nurhalis Wahiddin
Keyword(s):  
Flood Hazard ◽  
Vulnerability Index ◽  
Hazard Map ◽  
Flood Vulnerability ◽  
Flood Susceptibility ◽  
Flood Hazard Map ◽  
Prone Area ◽  
Flood Prone Area ◽  
Hierarchy Process ◽  
Selection Of

The objectives of this study are to mapping the hazard-prone area and to analyse the flood vulnerability index in Kobe Watershed, Central Halmahera District. In order to determine the optimal selection of weights for the factors that contribute to flood risk, GIS and multi-criteria decision analysis (MCDA) were used in conjunction with the application of the analytical hierarchy process (AHP) method to create the flood hazard map. The flood hazard map was generated by using selected hazard factors including land use, topography, slope, and rainfall pattern. The result shows that the Kobe River basin is a flood-prone area, with 77.46 percent of its land classified as less prone to flooding and 21.41 percent classified as flood-prone. However, only 21.41 percent of its land is classified as flood-prone. Only 1.13 percent of the land is protected from the danger of floods, compared to the whole country. The altitude factor is the most important element influencing flood susceptibility in Weda District, where the majority of the land (16.34 percent) is located at or below sea level, making it particularly vulnerable to flooding.

scholarly journals A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level

2021 ◽  
Author(s):  
Laxmi Gupta ◽  
Jagabandhu Dixit
Keyword(s):  
Flood Risk ◽  
Flood Hazard ◽  
Risk Index ◽  
Hazard Index ◽  
Vulnerability Index ◽  
Eastern Region ◽  
The North ◽  
Flood Risk Mapping ◽  
Gis Environment ◽  
Very High

Abstract Floods are hydrological disasters that can alter the physical, socioeconomic, and environmental settings of a region. The objective of the present study is to develop an efficient and reliable methodology to prepare a flood risk map for Assam, the North-eastern region (NER) of India, by the integration of hazard and vulnerability components. Three indices, namely flood hazard index (FHI), flood vulnerability index (FVI), and flood risk index (FRI), are developed using multi-criteria decision analysis (MCDA) – Analytical hierarchy process (AHP) approach in GIS environment for the regional and administrative level of Assam. The selected hazard and vulnerability indicators define the topographical, geological, meteorological, drainage characteristics, land use land cover, and demographical features of Assam. The results show that more than 70% of the total area lies in the moderate to very high FHI class, 57.37% have moderate to high FVI, and more than 50% have moderate to very high FRI class.

scholarly journals Physical Flood Vulnerability Assessment Using Geospatial Indicator-Based Approach and Participatory Analytical Hierarchy Process: A Case Study in Kota Bharu, Malaysia

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1786
Author(s):  
Ismaila Usman Kaoje ◽  
Muhammad Zulkarnain Abdul Rahman ◽  
Nurul Hazrina Idris ◽  
Khamarrul Azahari Razak ◽  
Wan Nurul Mardiah Wan Mohd Rani ◽  
...  
Keyword(s):  
Analytical Hierarchy Process ◽  
Vulnerability Assessment ◽  
Flood Hazard ◽  
Integrated Approach ◽  
Vulnerability Index ◽  
Kappa Statistics ◽  
Flood Vulnerability ◽  
Expert Opinions ◽  
Hierarchy Process ◽  
Flood Vulnerability Assessment

The most devastating flood event in Kota Bharu was recorded in December 2014, which affected several properties worth millions of dollars and thousands of homes. Damage to physical properties, especially buildings, is identified as a significant contributor to flood disasters in Malaysia. Therefore, it is essential to address physical flood vulnerability by developing an integrated approach for modeling buildings’ flood vulnerability to decrease the flood consequences. This study aims at developing a flood vulnerability assessment approach using an indicator-based model (IBM) for individual buildings in Kota Bahru, Kelantan, Malaysia. An intensive literature review and expert opinions were used to determine suitable indicators that contribute to the physical flood vulnerability of buildings. The indicators were grouped into three components, i.e., flood hazard intensity (I), building characteristics (C), and effect of the surrounding environment (E). The indicators were further refined based on expert opinions and Relative Importance Index (RII) analysis. Based on their contribution to the Malaysia local building flood vulnerability, priority weight is assigned by the experts to each of the selected indicators using the participatory Analytical Hierarchy Process (AHP). A spatial database of buildings in Kota Bharu is developed through field surveys and manually digitizing building footprints from satellite imageries. The identified indicators and their weight are added to each building footprint. The Weighted Linear Combination (WLC) aggregation method combined the weight of indicators into a vulnerability index and maps. The results of a physical flood vulnerability were validated using building damage information obtained through interviews with the community that experienced previous flood in the study area. The result showed that about 98% of the study area’s buildings have either moderate or low vulnerability to flooding. The flood vulnerability map has an overall accuracy of 75.12% and 0.63 kappa statistics. In conclusion, the IBM approach has been used successfully to develop a physical flood vulnerability for buildings in Kota Bharu. The model contributes to support different structural and non-structural approaches in the flood mitigations process.

Knowledge and Practice of Cervical Cancer Screening among Women in Orlu Local Government Area, Imo State, Nigeria.

2019 ◽  
Vol 1 (1) ◽  
pp. 55-65
Author(s):  
Jude Egwurugwu ◽  
S.D. Ejikunle ◽  
E.I. Dike ◽  
M.C. Ohamaeme ◽  
Jude Egwurugwu ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Screening ◽  
Local Government ◽  
Cervical Cancer Screening ◽  
Cervical Screening ◽  
Local Government Area ◽  
Care Providers ◽  
Imo State ◽  
Study Results ◽  
Knowledge And Practice

Background: Cervical cancer is the 2nd commonest cancer among women worldwide and the most common cancer among women in developing countries like Nigeria. Though preventable by screening for premalignant and early cervical lesions, this is predicated on the knowledge and practice of a cervical screening. Objective: To assess the knowledge and practice of cervical cancer screening among women in Orlu, Local Government Area(LGA) Imo State, Nigeria. Materials & Methods: A community based cross-sectional study with the use of 502 interviewer – administered questionnaires was conducted among women in Orlu LGA of Imo State. All the women in the communities attending the annual August Meeting who consented were recruited for this study. Results: The study showed that the mean age of the respondents was 42±2.8years. Furthermore, 82.3% of respondents attained postsecondary school educational level, 61.8% & 21.1% were multiparous and grand multiparous respectively. Also, 80.5% of respondents have heard about cervical cancer screening. Majority (67.5%) of these respondents heard it from health care providers. There was a positive statistically significant relationship between educational status and the likelihood of having knowledge of cervical cancer screening, (p< 0.01). The level of practice of cervical cancer screening was very low among the respondents(13.5%).Though majority of the respondents have high level of educational attainment this did not reflect their practice of cervical cancer screening. Conclusion: There was high knowledge of cervical cancer and cervical screening modalities among women in Orlu but their practice of cervical cancer screening was very low. There is an urgent need to educate and encourage women on the benefits of cervical cancer screening. Key words: cervical cancer, knowledge, Practice, Orlu women, Screening.

Multi-Criteria Decision Making for Vulnerability Mapping of Flood Hazard: A Case Study of Pune City

2019 ◽  
Vol 2 (1) ◽  
pp. 41-52
Author(s):  
Nitin Mundhe
Keyword(s):  
Decision Making ◽  
Flood Hazard ◽  
Geographical Information ◽  
Multi Criteria Decision Making ◽  
Flood Hazards ◽  
Very High Frequency ◽  
Flood Vulnerability ◽  
Natural Risk ◽  
The Town

Floods are natural risk with a very high frequency, which causes to environmental, social, economic and human losses. The floods in the town happen mainly due to human made activities about the blockage of natural drainage, haphazard construction of roads, building, and high rainfall intensity. Detailed maps showing flood vulnerability areas are helpful in management of flood hazards. Therefore, present research focused on identifying flood vulnerability zones in the Pune City using multi-criteria decision-making approach in Geographical Information System (GIS) and inputs from remotely sensed imageries. Other input data considered for preparing base maps are census details, City maps, and fieldworks. The Pune City classified in to four flood vulnerability classes essential for flood risk management. About 5 per cent area shows high vulnerability for floods in localities namely Wakdewadi, some part of the Shivajinagar, Sangamwadi, Aundh, and Baner with high risk.

Cross-provincial Cross-region Power Trading Optimization Modeling

2020 ◽  
Vol 13 (8) ◽  
pp. 1183-1189
Author(s):  
Jing-wen Chen ◽  
Yan Xiao ◽  
Hong-she Dang ◽  
Rong Zhang
Keyword(s):  
Network Flow ◽  
Optimal Allocation ◽  
Route Optimization ◽  
Regional Power ◽  
Power Resources ◽  
Gray Theory ◽  
Power Trading ◽  
Study Results ◽  
Multi Agent ◽  
Regional Economic Disparities

Background: China's power resources are unevenly distributed in geography, and the supply-demand imbalance becomes worse due to regional economic disparities. It is essential to optimize the allocation of power resources through cross-provincial and cross-regional power trading. Methods: This paper uses load forecasting, transaction subject data declaration, and route optimization models to achieve optimal allocation of electricity and power resources cross-provincial and cross-regional and maximize social benefits. Gray theory is used to predict the medium and longterm loads, while multi-agent technology is used to report the power trading price. Results: Cross-provincial and cross-regional power trading become a network flow problem, through which we can find the optimized complete trading paths. Conclusion: Numerical case study results has verified the efficiency of the proposed method in optimizing power allocation across provinces and regions.

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