Flood hazard mapping in developing countries: problems and prospects

Osti, Rabindra; Tanaka, Shigenobu; Tokioka, Toshikazu

doi:10.1108/09653560810855919

Cited by 54 publications

(35 citation statements)

References 3 publications

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“…It is natural that countries with a better GDP allocate more of their budget for water-related disaster management ( Figure 2). In developing nations, disaster mitigation structures are often dysfunctional; in some cases, there are no accurate data on such structures as EWSs, and no hazard maps (Osti et al, 2008). In 2009, during Typhoon Ketsana in Manila, the clogging of channels and drainage systems contributed to the inundation resulting in life loss and property damage (ADB, 2011); this could have been attenuated to some extent had there been proper planning and budget for maintenance.…”

Section: Governance Indicatorsmentioning

confidence: 98%

Governance, socio-economic and geophysical indices for determining water-related disaster risk

Adikari¹,

Osti²,

Hiroki

2012

Water Policy

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Governance, socio-economic and geophysical indicators are indispensable measures of risk for water-related disasters leading to a better disaster risk mitigation and management for sustainable development. Water-related disaster countermeasures are weak in non-OECD (Organisation for Economic Co-operation and Development) countries, thus higher economic losses and younger fatalities are concentrated there; for example, the majority of fatalities in developing nations are 50 years old or less, in contrast to those in developed nations where the most are older than 60 years old; furthermore, economic losses of 2.8, 19.7 and 2.7% of GDP were incurred during Cyclone Sidr in Bangladesh, Cyclone Nargis in Myanmar, and Typhoon Ketsana in the Philippines, respectively. A transfer of scientific knowledge and technology from developed to developing countries is helpful in strengthening water-related disaster countermeasures to reduce economic losses and fatalities. Natural hazards correspond to geophysical features, thus the categorization of these features leads to an understanding of corresponding natural hazards which helps disaster mitigation and land-use and policy planning for future development. A combination of governance, socio-economic and geophysical water-related disaster indicators is therefore an indispensable development index.

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Section: Governance Indicatorsmentioning

confidence: 98%

Governance, socio-economic and geophysical indices for determining water-related disaster risk

Adikari¹,

Osti²,

Hiroki

2012

Water Policy

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“…to the local residents, is indispensable for emergency response and for long-term flood disaster management (Osti et al 2008). In this study, a flood hazard map was prepared using the inundation status, which was found from hydrologic simulation.…”

Section: Flood Hazard Mappingmentioning

confidence: 99%

Assessment of flood hazard, vulnerability and risk of mid-eastern Dhaka using DEM and 1D hydrodynamic model

Masood

Takeuchi²

2011

Nat Hazards

146

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Floods are regular feature in rapidly urbanizing Dhaka, the capital city of Bangladesh. It is observed that about 60% of the eastern Dhaka regularly goes under water every year in monsoon due to lack of flood protection. Experience gathered from past devastating floods shows that, besides structural approach, non-structural approach such as flood hazard map and risk map is effective tools for reducing flood damages. In this paper, assessment of flood hazard by developing a flood hazard map for mid-eastern Dhaka (37.16 km 2 ) was carried out by 1D hydrodynamic simulation on the basis of digital elevation model (DEM) data from Shuttle Radar Topography Mission and the hydrologic field-observed data for 32 years . As the topography of the area has been considerably changed due to rapid land-filling by land developers which was observed in recent satellite image (DigitalGlobe image; Date of imagery: 7th March 2007), the acquired DEM data were modified to represent the current topography. The inundation simulation was conducted using hydrodynamic program HEC-RAS for flood of 100-year return period. The simulation has revealed that the maximum depth is 7.55 m at the southeastern part of that area and affected area is more than 50%. A flood hazard map was prepared according to the simulation result using the software ArcGIS. Finally, to assess the flood risk of that area, a risk map was prepared where risk was defined as the product of hazard (i.e., depth of inundation) and vulnerability (i.e., the exposure of people or assets to flood). These two maps should be helpful in raising awareness of inhabitants and in assigning priority for land development and for emergency preparedness including aid and relief operations in high-risk areas in the future.

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“…Several studies (Green 1998;Faisal et al 1999;Osti et al 2008;Vojinovic & Teeffelen 2007) have stretched the need for both structural and non-structural measures to manage floods. The importance and need for non-structural measures is specially realized when structural measures fail to provide effective results in the face of flood disasters.…”

Section: Non-structural Measures and Flood Hazard Mappingmentioning

confidence: 99%

“…Both structural and unstructural measures should be technically sound, environment friendly, socially accepted and cost-effective in order to be part of the communitybased planning and implementation (Osti et al 2008). …”

Section: Non-structural Measures and Flood Hazard Mappingmentioning

confidence: 99%

Hydroinformatics in multi-colours—part red: urban flood and disaster management

Mynett

Vojinović

2009

Journal of Hydroinformatics

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Hydroinformatics found its origin in the advancement of computational hydraulics in the early 1990s but has expanded considerably, both in scope and in application areas. It is now not only being applied in the fields of hydraulics and hydrology (often indicated by the colour blue), but also in environmental science and technology (green) as well as in knowledge systems and knowledge management (yellow). This paper focuses on urban (red) applications of hydroinformatics, taking urban flood and disaster management as an example. It is part of a sequence of papers, each focusing on a particular field (colour) of hydroinformatics, which together constitute a multi-coloured rainbow of application areas that hydroinformatics has expanded into over the past two decades or so. The combined papers on "Hydroinformatics in multi-colours" were presented as the opening keynote of the Workshop on Advances in Hydroinformatics held in Niagara Falls, in June 2007. In this paper-part red of the sequence-the role of urban hydroinformatics in assessing effects of climate change on urban flooding and health risk is addressed in relation to the UN Millennium Development Goals and illustrated on a case study of Dhaka, Bangladesh.

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Flood hazard mapping in developing countries: problems and prospects

Cited by 54 publications

References 3 publications

Governance, socio-economic and geophysical indices for determining water-related disaster risk

Governance, socio-economic and geophysical indices for determining water-related disaster risk

Assessment of flood hazard, vulnerability and risk of mid-eastern Dhaka using DEM and 1D hydrodynamic model

Hydroinformatics in multi-colours—part red: urban flood and disaster management

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