scholarly journals Re-framing planning decision-making: increasing flood resilience in Jakarta

2014 ◽  
Vol 5 (3) ◽  
pp. 230-242 ◽  
Author(s):  
Tri Mulyani Sunarharum ◽  
Mellini Sloan ◽  
Connie Susilawati
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Flood Risk ◽  
Flood Risk Management ◽  
Data Uncertainty ◽  
Content Type ◽  
Consequent Reduction ◽  
Decision Making Processes ◽  
Planning Decision ◽  
Infrastructure Investments

Purpose – The purpose of this paper is to re-frame planning decision-making to address risks of flooding and to increase community resilience. Rapid urbanisation, fragmented governance and recurrent flooding complicate resolution of DKI Jakarta’s chronic housing shortage. Failure to effectively implement planning decision-making processes poses potential human rights violations. Contemporary planning policy requires the relocation of households living in floodplains within 15 m of DKI Jakarta’s main watercourses, further constraining land availability and potentially requiring increased densification. Design/methodology/approach – This paper presents a preliminary scoping study for a technologically enhanced participatory planning method, incorporating synthesis of existing information on urbanisation, governance and flood risk management in Jakarta. Findings – Responsibility for flood risk management in DKI Jakarta is fragmented both within and across administrative boundaries. Decision-making is further complicated by: limited availability of land use data; uncertainty as to the delineated extent of watercourses, floodplains and flood modelling; unclear risk and liability for infrastructure investments; and technical literacy of both public and government participants. Practical implications – This research provides information to facilitate consultation with government entities tasked with re-framing planning processes to increase public participation. Social implications – Potential increased opportunities for collaborative decision-making and consequent reduction in risk exposure amongst DKI Jakarta’s most vulnerable populations can help to address issues of social justice. Originality/value – This paper synthesises information from a range of sources not available in English, and offers insights into a complex system of governance and modes for improving decision-making.

GIS based Development of MCDM Model for Flood Risk Management across Godavari Lower Sub-Basin of India

2020 ◽  
Author(s):  
B. Thanga Gurusamy ◽  
Avinash D Vasudeo ◽  
Aniruddha Dattatraya Ghare
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Evolutionary Algorithms ◽  
Objective Function ◽  
Flood Risk ◽  
Flood Hazard ◽  
Flood Risk Management ◽  
Flood Protection ◽  
Hazard Zonation ◽  
Hazard Risk

<p><strong>Abstract: </strong>Because of the uncertainty and high cost involved, the Absolute Flood Protection has not been considered as a rational decision. Hence the trend is to replace Absolute Flood Protection strategy by Flood Risk Management Strategy. This Paper focus on the development of Multiple Criteria Decision Making (MCDM) model towards Flood Risk Management (FRM) across Godavari Lower Sub-Basin of India using GIS based methodologies for Flood Hazard Zonation in order to achieve global minimum of the Flood predicted Risk level.  Flood Hazard Zone Map for the historical flood events obtained with the use of GIS based Digital Elevation Models across the study area have been presented and used for the estimation of Hazard Risk. Uncertainty (or Control) Risk levels of each Flood estimated using various Flood Forecasting methodologies have been compared for the selected locations of the study area. Effectiveness of Passive Flood Protection Measures in the form of Flood Levees has been quantitatively analyzed for the increase in the Opportunity Risk and corresponding reduction in the Flood Hazard Risk. Various types of Multi-Objective Evolutionary Algorithms (MOEAs) have been used  to determine a Compromise solution with conflicting criteria between Hazard Risk and Opportunity (or Investment) Risk and the results were compared for each of the selected levels of Flood estimated with corresponding uncertainty. Traditional optimization method in the form of Pareto-Optimal Front have also been graphically depicted for the minimization of both Hazard Risk Objective function and Opportunity Risk Objective Function and compared with those obtained using MOEAs. Watershed wise distribution of optimized Flood Risk variation across the Sub-basin has been presented graphically for both the cases of with and without active Flood Routing Measures. <strong>Keywords:  </strong>Flood Risk Management; GIS based Flood Hazard Zonation; Multi-Criteria Decision Making; Multi-Objective Evolutionary Algorithms; Godavari Lower Sub-Basin of India;</p>

Flooding due to torrential rainfall in Kumamoto, 2012

2014 ◽  
Vol 5 (3) ◽  
pp. 260-276
Author(s):  
Natainia Lummen ◽  
Sota Nakajo ◽  
Fumihiko Yamada
Keyword(s):  
Risk Management ◽  
Response Time ◽  
Flood Risk ◽  
Warning System ◽  
Flood Risk Management ◽  
Content Type ◽  
Flood Impacts ◽  
Sequence Of Events ◽  
Torrential Rainfall ◽  
Methodological Approaches

Purpose – This study aims to answer the following questions: what is the time scale in which areas downstream are affected by significant rainfall upstream, which areas are first affected, which areas are most affected, how effective is the current warning system in allotting an appropriate amount of time for evacuation, what has been the response time thus far utilizing the current warning system, how can this response time be im-proved using numerical simulation were addressed. The accu-rate prediction of floods and potential inundated areas is crucial for effective flood risk management and this paper analyses the model created for the July 12, 2012 Kumamoto flood event. Design/methodology/approach – Using GIS, LIDAR, SIS and levelling field survey data, the inundated areas were mapped; the sequence of events and the distribution of flood waters were recreated using numerical analysis and modelling. The inundated areas generated by the model were then compared to the actual inundated areas. Findings – The Tatsuda Ichi Chome area was completely inundated within 40 minutes of the first pooling of flood waters, whereas the Tatsuda Jin area was completely inundated within 20 minutes of the initial pooling of flood waters. Originality/value – This research provides empirical evidence of flood impacts and highlights the benefits that can be derived from incorporating accurate flood modelling results into flood risk management systems, as well as extends the methodological approaches of flood risk management.

Real Options in flood risk management decision making

2011 ◽  
Vol 4 (4) ◽  
pp. 339-349 ◽  
Author(s):  
M. Woodward ◽  
B. Gouldby ◽  
Z. Kapelan ◽  
S.-T. Khu ◽  
I. Townend
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Real Options ◽  
Flood Risk ◽  
Flood Risk Management ◽  
Management Decision ◽  
Management Decision Making

scholarly journals Multi-criteria decision-making for flood risk management: a survey of the current state of the art

2016 ◽  
Vol 16 (4) ◽  
pp. 1019-1033 ◽  
Author(s):  
Mariana Madruga de Brito ◽  
Mariele Evers
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Flood Risk ◽  
Flood Risk Management ◽  
Decision Making Process ◽  
Multi Criteria Decision Making ◽  
Wide Range ◽  
Order Preference ◽  
Criteria Weights ◽  
Simple Additive Weighting

Abstract. This paper provides a review of multi-criteria decision-making  (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. A total of 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82 % of all papers published since 2009. A wide range of applications were identified, with most papers focusing on ranking alternatives for flood mitigation, followed by risk, hazard, and vulnerability assessment. The analytical hierarchy process (AHP) was the most popular method, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest in MCDM, uncertainty analysis remains an issue and was seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Therefore, addressing the uncertainties around stakeholders' judgments and endorsing an active participation in all steps of the decision-making process should be explored in future applications. This could help to increase the quality of decisions and the implementation of chosen measures.

scholarly journals Review Article: Multi-criteria decision making for flood risk management: a survey of the current state-of-the-art

2015 ◽  
Vol 3 (11) ◽  
pp. 6689-6726 ◽  
Author(s):  
M. M. de Brito ◽  
M. Evers
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Flood Risk ◽  
Flood Control ◽  
Flood Risk Management ◽  
Multi Criteria Decision Making ◽  
Coping Capacity ◽  
Order Preference ◽  
Criteria Weights ◽  
Simple Additive Weighting

Abstract. This paper provides a review of Multi-Criteria Decision Making (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. Totally, 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed and classified into the following application areas: (1) ranking of alternatives for flood mitigation, (2) reservoir flood control, (3) susceptibility, (4) hazard, (5) vulnerability, (6) risk, (7) coping capacity, and (8) emergency management. Additionally, the articles were categorized based on the publication year, MCDM method, whether they were or were not carried out in a participatory process, and if uncertainty and sensitivity analysis were performed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82 % of all papers published since 2009. The Analytical Hierarchy Process (AHP) was the most popular technique, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest on MCDM, uncertainty analysis remains an issue and is seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Based on the survey, some suggestions for further investigation are provided.

Perceptions and deeply held beliefs about responsibility for flood risk adaptation in Accra Ghana

2020 ◽  
Vol 11 (5) ◽  
pp. 631-644
Author(s):  
Jerry Chati Tasantab ◽  
Thayaparan Gajendran ◽  
Jason von Meding ◽  
Kim Maund
Keyword(s):  
Risk Management ◽  
Flood Risk ◽  
Qualitative Methodology ◽  
Cultural Theory ◽  
Management Practice ◽  
Cultural Beliefs ◽  
Flood Risk Management ◽  
Flood Hazards ◽  
Adaptation Measures ◽  
Content Type

Purpose Climate change is predicted to increase the vulnerability of urban populations to flood hazards. Against this backdrop, flood risk adaptation has become pertinent. However, in Ghana, current flood risk management practice is fostered by a reactive culture. There is limited research on how communities and government agencies are engaging with flood risk adaptation in improving resilience. Therefore, this paper aims to analyse the culture of communities and agencies through the cultural theory of risk (CTR), towards understanding the flood risk adaptation in Accra, Ghana. Culture is deciphered using the beliefs held by residents and public agency officials. Design/methodology/approach A qualitative methodology, underpinned by the constructivist paradigm, was adopted to understand factors that influence flood risk adaptation in informal settlements. Data was gathered using household and institutional interviews in Glefe, Accra, Ghana. Findings The results show that both disaster risk management institutions and community members are deeply concerned about current and future flood risk. However, their cultural beliefs concerning flood risk and adaptation are contradictory, broadly framed by fatalist, individualist and hierarchist beliefs. The contradictory emergent beliefs contribute to a clash of expectations and create uncertainty about how to respond to flood risk, impacting the implementation of required adaptation measures. Developing a collaborative flood risk management framework and a shared understanding of adaptation approaches may be a better alternative. Originality/value This paper advances understanding of how culture influences flood risk adaptation in developing country context.

scholarly journals Insurance as Strategy for Flood Risk Management at Limpopo River Basin A decision making Process under Uncertainty

2013 ◽  
Vol 10 (8) ◽  
pp. 1862-1877
Author(s):  
Avelino Isaias Mondlane ◽  
Karin Hansson ◽  
Oliver B. Popov
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
River Basin ◽  
Flood Risk ◽  
Flood Risk Management ◽  
Added Value ◽  
Decision Making Process ◽  
International Rivers ◽  
Ex Ante

The Limpopo River Basin, one of the nine international rivers crossing Mozambique, historically has shown to be cyclically flooded, undermining the economic and social development of its four riparian countries. Local and external added efforts are always in place when floods occur. Nowadays there are recommended ex-ante instruments to prevent floods and one of the most applicable instruments worldwide is insurance. Most of the inhabitants, even governments, affected by Limpopo River Basin are poor, therefore our concern regards the viability to apply insurance as a strategy for flood risk management. Moreover our research investigates to what extent the application of insurance, within two identified communities as case study, might create an added value in the process of decision making on flood risk management for Limpopo River Basin.

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