Decision Support on Flood Management in Complex Urban Settings. Is Risk Assessment the Right Approach or Do We Need Decision Heuristics?

Author(s):  
Volker Meyer
Author(s):  
Binata Roy ◽  
Md. Sabbir Mostafa Khan ◽  
A. K. M. Saiful Islam ◽  
Md. Jamal Uddin Khan ◽  
Khaled Mohammed

Abstract Bangladesh is situated at the confluence of GBM basins, with 90% of the basin area locating outside the country. Future climate change will lead to intense, prolonged, and frequent floods in Bangladesh. An integrated flood risk assessment that transforms risks from transboundary river basins to the local administrative level is necessary. A 1D-2D hydrodynamic model is developed for flood vulnerable Arial Khan River feed by basin-scale hydrologic model for low (RCP2.6) and high (RCP8.5) climate scenarios. An increasing trend in flood depth, duration, and the area is observed from the early (2020s) to the end (2080s) of the century for both scenarios. The difference between both RCPs is minimal from the 2020s to 2050s but becomes very pronounced in the 2080s. The depth-duration area with equal weightage provides better hazard results for the area. Flood risk is assessed using the IPCC AR5 framework incorporating vulnerability and exposure. Some medium-hazard zones fall into high-risk zones due to high exposure and vulnerability to flooding. The areas along the left reach are found more hazard-prone, while the areas on the right side are more risk-prone in the 2080s of RCP8.5. The hazard/risk maps will help policymakers identify priority areas for planning a sustainable flood management strategy.


2012 ◽  
Vol 11 (12) ◽  
pp. 2305-2311 ◽  
Author(s):  
Ioana Popescu ◽  
Andreja Jonoski ◽  
Lucretia Bociort

Author(s):  
Dwika Assrani ◽  
Mesran Mesran ◽  
Ronda Deli Sianturi ◽  
Yuhandri Yuhandri ◽  
Akbar Iskandar

Vocational schools that have been licensed from BNSP to LSP P1 (first party professional certification institute) are schools that have been able to carry out their own competency certification exams for their students and later a competency assessor who will test and declare the eligibility of the students, competency assessors are productive teachers who have participated in and been given training by the government, in that training the schools choose from the number of productive teachers from each department to become competency assessor trainees in accordance with predetermined criteria so a decision support system is needed so there is no gap in the selection of productive teacher assessor training participants, a vocational school that has become a P1 LSP must have a competency assessor and is a requirement to be a P1 LSP. one of the solutions to the problem is the right one by using the Decision Support System (SPK). Decision Support System (DSS) can help the school in making the decision to choose the productive teacher of the appropriate assessor training and improve the efficiency of the decision. The Extended Promethee II (EXPROM II) is a development of the Promethee II method based on the ideal and anti-ideal solution. Promethee II itself is a method of making decisions on the function of preferences with problems through an outranking approach (ranking) or is a multicriteria analysis, comparing one alternative to another and calculating the alternative gap in pairs so as to produce an output that is alternative ranking based on the highest value.Keywords: Competitive Assessor LSP P1, SPK, The Extended Promethee II


Author(s):  
Seyedeh Samaneh Miresmaeeli ◽  
Nafiseh Esmaeili ◽  
Sepideh Sadeghi Ashlaghi ◽  
Zahra Abbasi Dolatabadi

Abstract Background: Exceptional children, like other children, have the right to be educated in a safe environment. Disasters are considered as serious issues regarding safety and security of educational environments. Following disasters, vulnerable groups, especially children with handicaps and disabilities are more likely to be seriously injured. Thus, the present study aimed to evaluate the safety and disaster risk assessment of exceptional schools in Tehran, Iran. Method: The cross-sectional study was conducted in exceptional schools in Tehran, 2018. First, 55 exceptional schools in all grades were selected based on census sampling method and evaluated by using a checklist designed by Tehran Disaster Mitigation and Management Organization (TDMMO) and Ministry of Education in 2015. The data were analyzed using Excel software and statistical descriptive tests. Result: Based on the results, school facilities are worn and have unsafe elevators (least safety: 7.69%), yards (least safety: 9.52%), laboratories (least safety: 16.67%), libraries (least safety: 24.24%), fire extinguishing systems (least safety: 28.99%), and storage rooms and kitchens (least safety: 33.33%) which require immediate considerations. In total, the safety of exceptional schools in this study was 70.13%, which suggests medium-risk level. Conclusion: The educational settings must be reconsidered, along with identifying the risk and safety at school. In addition, a standard should be established for evaluating safety, especially in exceptional schools.


2012 ◽  
Vol 14 (4) ◽  
pp. 918-936 ◽  
Author(s):  
Julián Garrido ◽  
Ignacio Requena ◽  
Stefano Mambretti

Risk assessment involves the study of vulnerability and hazards. When focused on flood events, such an analysis should evidently include the theoretical and practical study of floods and their behavior. Nevertheless, risk assessment is not useful if the results are not subsequently used for more effective management and planning by local authorities and qualified personnel. The risk evaluation process is composed of a set of actions, each of which requires different inputs. In fact, the results of one action are used as the input for another. This paper describes a semantic model for the study and management of floods with a view to elaborating a conceptual framework and designing a knowledge base. The model is based on the environmental assessment ontology and demonstrates how a brief ontology can be generated.


1994 ◽  
Vol 23 (4) ◽  
pp. 281-285 ◽  
Author(s):  
Jonathan D. Knight ◽  
John D. Mumford

All farmers and growers have at some time faced the decision of whether to control a pest in their crop. In order to make the correct decision the farmer needs access to, and an understanding of, sufficient information relevant to such pest problems. Decision support systems are able to help farmers make these difficult decisions by providing information in an easily understandable and quickly accessed form. The increasing use of computers by farmers for record-keeping and business management is putting the hardware necessary for the implementation of these systems onto more and more farms. The scarcity of expert advice, increasingly complex decisions and reduced economic margins all increase the importance of making the right pest management decision at the right time. It is against this background that decision support systems have an important role to play in the fight against losses caused by pests and diseases.


2021 ◽  
pp. 1-16
Author(s):  
Tingrong Qin ◽  
Guoliang Ma ◽  
Dongyang Li ◽  
Xinjie Zhou ◽  
Xingjie He ◽  
...  

Abstract A ship's perception of risk is an important basis for collision avoidance. To improve such perception, several risk measurement parameters on the ship domain are determined, including the approach factor, the time to domain violation (TDV) and the possible collision domain. Then, a risk hierarchy prewarning (RHP) model based on the violation detection of a ship domain is proposed, in which a two-level alarm scheme is adopted accordingly. A low-intensity alarm will be activated by reaching the minimum approach factor and the TDV threshold, and a high-intensity alarm will be activated by the factor of the possible collision domain and the TDV threshold. Subsequently, a novel guard zone in ARPA radar utilising the RHP model has been developed to establish a ship's risk perception system for officers on watch at sea. The model proposed in this paper can not only enhance the veracity of risk assessment around our own ship, but also be used as a decision support system for collision avoidance.


2005 ◽  
Vol 7 (1) ◽  
pp. 3-15 ◽  
Author(s):  
A. J. Abebe ◽  
R. K. Price

This paper presents the development of a decision support system (DSS) for flood warning and instantiation of restoration activities in two urban areas, the Liguria Region in Italy and the Greater Athens catchment in Greece, with the potential of extension to other locations with similar flooding problems. The tool is designed to work at the centre of a set of meteorological and hydrologic/hydraulic forecast models together with telemetric data acquisition networks. The study reveals the complexity and uncertainty involved in managing flooding in the study areas. Issues about the validity and extended benefits of the system are also discussed.


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