Multi‐criteria decision analysis for flood risk on the Chenab River

Weather ◽  
2019 ◽  
Vol 74 (S1) ◽  
Author(s):  
Sher Shah Hassan ◽  
Muhammad Ajmal ◽  
Aftab Ahmad Khan ◽  
Muhammad Arif Goheer ◽  
Muhammad Shahzad Khattak ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Flood Risk ◽  
Multi Criteria Decision Analysis ◽  
Chenab River

scholarly journals Coastal Flooding Risk Assessment Using a GIS-Based Spatial Multi-Criteria Decision Analysis Approach

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2379
Author(s):  
Vahid Hadipour ◽  
Freydoon Vafaie ◽  
Kaveh Deilami
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Decision Analysis ◽  
Sea Level ◽  
Flood Risk ◽  
Social Vulnerability ◽  
Quantitative Methods ◽  
Coastal Flooding ◽  
Rcp Scenarios ◽  
Multi Criteria Decision Analysis

Coastal areas are expected to be at a higher risk of flooding when climate change-induced sea-level rise (SLR) is combined with episodic rises in sea level. Flood susceptibility mapping (FSM), mostly based on statistical and machine learning methods, has been widely employed to mitigate flood risk; however, they neglect exposure and vulnerability assessment as the key components of flood risk. Flood risk assessment is often conducted by quantitative methods (e.g., probabilistic). Such assessment uses analytical and empirical techniques to construct the physical vulnerability curves of elements at risk, but the role of people’s capacity, depending on social vulnerability, remains limited. To address this gap, this study developed a semiquantitative method, based on the spatial multi-criteria decision analysis (SMCDA). The model combines two representative concentration pathway (RCP) scenarios: RCP 2.6 and RCP 8.5, and factors triggering coastal flooding in Bandar Abbas, Iran. It also employs an analytical hierarchy process (AHP) model to weight indicators of hazard, exposure, and social vulnerability components. Under the most extreme flooding scenario, 14.8% of flooded areas were identified as high and very high risk, mostly located in eastern, western, and partly in the middle of the City. The results of this study can be employed by decision-makers to apply appropriate risk reduction strategies in high-risk flooding zones.

Multi-Criteria Decision Analysis of Coastal Inundation at Regional scale

2021 ◽  
Author(s):  
Vinay Shivamurthy ◽  
Bharath Aithal
Keyword(s):  
High Risk ◽  
Decision Analysis ◽  
Sea Level Rise ◽  
Sea Level ◽  
Natural Hazards ◽  
Flood Risk ◽  
Sea Levels ◽  
Risk Levels ◽  
Multi Criteria Decision Analysis ◽  
Rising Sea Levels

<p>Coastal flooding are natural processes that are both i) essential (providing nutrients to the coastal vegetation, habitats) and ii) hazardous (negatively impact human activities, livelihood, assets, livestock and so on). Climate changes have induced higher frequency of floods, rising sea levels, high amplitude tides and other climatic extremes at regional to global scales. The increasing intensity, duration of floods is proportionately increasing the risks associated with coastal human habitations. The regional risks are defined based on the physical, demographic, socio-economic vulnerability of the habitants. Sea level rise would further enhance the coastal inundations permanently breaching these productive, densely populated regions. This necessitates the need for spatially assessing the relative hazard, vulnerability and risks at regional scales to reduce/mitigate risks.</p><p>Indian subcontinent supports the second largest global population, with numerous megacities, towns and villages along the coast and mainland. This study's main objective is to quantify the risk associated with inundations caused by rising sea levels, tidal surge at the regional level. As a case study, Sagar Island located in the verge of Sundarbans, south of West Bengal is considered. Flood risk assessment in the island has been carried out using Multi-Criteria Decision Analysis (MCDA) framework based on 23 spatial parameters.</p><p>Results indicate, within a century (1922 – 2020), the island has lost most of its natural vegetation (mangroves - Sundarbans) (47% to 3%), with increasing cultivated (agriculture, horticulture) spaces (77.4 %) and built-up environs (8.2%). Sea level rise varies from 4.4 mm/year (South) to 5.25 mm/year (North) and in the last century has breached over 2824 hectares of mainland. The study's findings reveal 19.8% of horticulture and 33.3% of agriculture assets are highly exposed to natural hazards. 1.34% population are at relatively very high-risk levels, 17.81% at high-risk levels. The study's findings reveal the variable importance of socio-economic, demographic, topographic and proximity to public service, in defining the flood vulnerability and risk towards the habitants. The approach and findings of paves the way for planning authorities to prioritise risk mitigation strategies that are region-specific to reduce the impact of inundation due to natural hazards</p><p><em>Keywords: Sea level rise, Flood risk, MCDA, Vulnerability, flood hazard</em></p>

Flood risk assessment using deep learning integrated with multi-criteria decision analysis

2021 ◽  
Vol 219 ◽  
pp. 106899 ◽  
Author(s):  
Binh Thai Pham ◽  
Chinh Luu ◽  
Dong Van Dao ◽  
Tran Van Phong ◽  
Huu Duy Nguyen ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Deep Learning ◽  
Decision Analysis ◽  
Flood Risk ◽  
Flood Risk Assessment ◽  
Multi Criteria Decision Analysis

scholarly journals Residents' perception of flood risk and urban stream restoration using multi‐criteria decision analysis

2020 ◽  
Vol 36 (10) ◽  
pp. 2078-2088 ◽  
Author(s):  
Chang‐Yu Hong ◽  
Heejun Chang
Keyword(s):  
Decision Analysis ◽  
Flood Risk ◽  
Stream Restoration ◽  
Urban Stream ◽  
Multi Criteria Decision Analysis

DEVELOPING MULTI-CRITERIA DECISION ANALYSIS AND TAGUCHI METHOD TO OPTIMIZE CIPROFLOXACIN REMOVAL FROM AQUEOUS PHASE

2019 ◽  
Vol 18 (7) ◽  
pp. 1543-1552
Author(s):  
Marjan Salari ◽  
Gholam Reza Rakhshandehroo ◽  
Mohammad Reza Nikoo
Keyword(s):  
Taguchi Method ◽  
Decision Analysis ◽  
Aqueous Phase ◽  
Multi Criteria Decision Analysis ◽  
Ciprofloxacin Removal

A Compact Review of Multi-criteria Decision Analysis Uncertainty Techniques

2013 ◽  
Author(s):  
John W. Gerdes ◽  
Eric Spero
Keyword(s):  
Decision Analysis ◽  
Multi Criteria Decision Analysis

DEMATEL as a weighting method in multi-criteria decision analysis

2017 ◽  
Vol 12 ◽  
pp. 153-167 ◽  
Author(s):  
Andrzej Kobryń ◽  
Keyword(s):  
Decision Analysis ◽  
Weighting Method ◽  
Multi Criteria Decision Analysis

scholarly journals Multi-Criteria Framework for Selection of City-Wide Sanitation Solutions in Coastal Towns in Northern Angola

2021 ◽  
Vol 13 (10) ◽  
pp. 5627
Author(s):  
Rita Ventura Matos ◽  
Filipa Ferreira ◽  
Liliana Alves ◽  
Elsa Ramos ◽  
Lucrécio Costa ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Analysis Tool ◽  
Planning Stage ◽  
Multi Criteria Decision Analysis ◽  
Sanitation Services ◽  
Decision Aiding ◽  
Coastal Cities ◽  
Sub Saharan ◽  
Multi Stakeholder ◽  
Treatment Alternatives

In this paper, an expedited multi-criteria decision analysis framework, capable of tackling several dimensions for the choice of sanitation services, at an early planning stage is presented. The approach combines geographic information systems aided analysis for onsite solutions, with a multi-criteria decision analysis tool capable of suggesting and ranking several viable offsite treatment alternatives, according to the desired criteria. The framework was applied to four coastal cities in Northern Angola, one of the sub-Saharan countries of the west coast of Africa, thus obtaining an indication for city-wide solutions, as an aid to achieve the goal of ensuring full sanitation coverage in those four locations. It included possible onsite collection and storage interfaces, namely Ventilated Improved Pit latrines, fossa alterna, septic tanks or conventional sewer systems. The study also contributed to an informed decision regarding optimal offsite treatment facility type, namely based on dedicated or combined wastewater and faecal sludge treatment (co-treatment), as well as different options for locations and sanitation technologies. Alternatives were compared and ranked according to ten main criteria concerning social, economic, technological and environmental aspects. This work helped demonstrate the usefulness of decision-aiding tools in the multi-stakeholder and complex context of sanitation in a developing country.

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