Flood Disaster Studies: A Review of Remote Sensing Perspective in Cambodia

Koem, Chhuonvuoch; Tantanee, Sarintip

doi:10.21163/gt_2021.161.02

Cited by 6 publications

(4 citation statements)

References 27 publications

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“…The flood depth was classified in five intervals from <3 m to >12 m to produce flood maps which essentially served for understanding the potential severity of flooded areas. A review article by Koem and Tantanee [35] evaluated how the remote sensing (RS) approach has been applied to flood analysis and also assessed the RS gaps for flood studies in Cambodia. It focused on the 2011 flood impacts commonly located in the regions of TSL and along the MR.…”

Section: Existing Studies On Flood Hazard and Management In Cambodiamentioning

confidence: 99%

“…Precisely, this article serves as a good foundation to develop the method of flood analysis with the help of RS which will lead to greater improvements in the field. Nevertheless, Koem and Tantanee [35] underscored the lack of flood studies using the RS approach in other flood-prone regions like areas in the northeast next to Lao PDR, whereas most RS studies are localized in TSL and the MR.…”

Section: Existing Studies On Flood Hazard and Management In Cambodiamentioning

confidence: 99%

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Flood Hazard and Management in Cambodia: A Review of Activities, Knowledge Gaps, and Research Direction

Phy

Sok

Try

et al. 2022

Climate

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Cambodia is located in one of the most severe flood-vulnerable zones in mainland Southeast Asia. Flooding is the country’s most recurrent and impactful hazard among other natural hazards. This hazard alone, observed in many river basins, has been inflicting huge damages on livelihoods, social infrastructure, and the country’s economy. This study aims to review the current status of flood hazards, impacts, driving factors, management capacity, and future research directions on floods in Cambodia. The findings of this study suggested that there is still a lack of flood-related studies on flood hazard mapping, risk and damage assessment, and future flood analysis in Cambodia. The existing related studies mainly focused on the Tonle Sap Basin and its tributaries, the Lower Mekong Basin, the whole Mekong River Basin, and some of the tributaries of the Mekong River in Cambodia. The fundamental driving factors of the current flooding in Cambodia are impacts of climate change, land-use change, water infrastructure development, and weather extremes. The applications of mathematical and statistical tests and indices, conceptual and physically-based modeling, artificial intelligence and machine learning, and remote sensing are recommended to focus on future research directions on flood in Cambodia in the areas of land-use change, existing and planned operation of water infrastructure, flood hazard and damage assessment, and flood forecasting. The outcomes from these studies and applications would improve the understanding of flood hazard characteristics, reinforce flood management, and achieve flood damage reduction.

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Section: Existing Studies On Flood Hazard and Management In Cambodiamentioning

confidence: 99%

Section: Existing Studies On Flood Hazard and Management In Cambodiamentioning

confidence: 99%

Flood Hazard and Management in Cambodia: A Review of Activities, Knowledge Gaps, and Research Direction

Phy

Sok

Try

et al. 2022

Climate

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“…The constraint however like clutter and blockage related to them reduce the data accuracy. In Cambodia, the rain gauges are very few (92 stations) and most of them were installed around the Tonle Sap Lake and the Mekong River [5] instead of in mountainous and steep areas. The average rain gauge data therefore may not well present the distribution of rainfall over the country.…”

Section: Introductionmentioning

confidence: 99%

Rain Detecting Accuracy of Weather Research Forecasting (Wrf) and TRMM Rainfall Product Over Cambodia

Koem

Tantanee²

2022

AEJ

Self Cite

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Rainfall is one of the important parameters for evaluating flood hazard risk. Cambodia is a vulnerable country to extreme rainfall where the number of rain gauges over the country is limited. Therefore, the possibilities of applying rainfall products from satellite observation and rainfall forecasting models are crucial for the country. The purpose of this research is to evaluate the detecting accuracy of the rainfall-based Weather Research Forecasting (WRF) model and TRMM rainfall products by comparing with observed rainfall during heavy rainfall for different topography over Cambodia. The categorical statistic is used to calibrate the rainfall from the WRF model with observed rainfall from 23 stations over Cambodia on selected heavy rainfall dates of 15, 17, and 19 September 2019. Cambodia experienced floods along the Tonle Sap River and the Mekong Basin by the triggered heavy rainfall. The results show that the detecting accuracy of days 15, 17, and 19 from TRMM rainfall matched with observed rainfall are 55%, 71%, and 63%, respectively. The average detecting accuracy of mountainous is 65% whereas plains are 63.33%. The average detecting accuracy of coastal and Tonle Sap is 53.66% and 63%, respectively. Moreover, the detecting accuracy of days 15, 17, and 19 forecasts from the WRF model compared with observed rainfall are 41%, 69%, and 63%, respectively. The average detecting accuracy of mountainous, plains, coastal, and Tonle Sap are 52%, 55.66%, 52.33%, and 65.66%, individually. The forecast rainfall from the WRF model and TRMM could detect the rainfall. They are therefore should be used in the areas that lack rainfall stations in Cambodia.

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“…Out of all-natural hazards in the world, flood is the mostcommon one. River flood results from the water level overtop, both natural and artificial, of theriverbank, which disturbs human life and properties (Koem, Tantanee, 2021). Flood hazard in rivers can be characterized by the probability and intensity of high river flows and their consequent inundations, and it depends on the atmospheric and catchment processes preceding river flood generation (Merz et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Application of Gis in the Assessment of Flood Risk in the Region Zenica - Doboj Canton

Korjenić¹,

Hrelja²,

Sivac³

et al. 2021

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Flood represents a temporary cover of water that submerges land, usually not covered by water, which is caused by water overflowing the watercourses. The floods that occur in the area of Zenica-Doboj Canton in Bosnia and Herzegovina cause massive damage to agriculture, housing, equipment and civil engineering facilities and can be characterized as hazards. The hydrographic backbone of this Canton is the river Bosna, and the subject of research in this paper is the flood vulnerability in Zenica-Doboj Canton. The result of the work is the production of flood hazard and risk maps using GIS. Geographic Information System (GIS)-based spatial analysis and visual elements have been used frequently in recent years for detection of flood hazard areas and preparation of maps. GIS applications are based on a database and analysis tools which have logical and mathematical relationships between the layers. When creating the flood hazard map, in addition to GIS tools, Hec-RAS was also used as a program intended for the analysis of hydraulic calculations. The results of this paper are of great importance for spatial planning and environmental protection, starting with local communities, municipalities and the entire Canton.

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Flood Disaster Studies: A Review of Remote Sensing Perspective in Cambodia

Cited by 6 publications

References 27 publications

Flood Hazard and Management in Cambodia: A Review of Activities, Knowledge Gaps, and Research Direction

Flood Hazard and Management in Cambodia: A Review of Activities, Knowledge Gaps, and Research Direction

Rain Detecting Accuracy of Weather Research Forecasting (Wrf) and TRMM Rainfall Product Over Cambodia

Application of Gis in the Assessment of Flood Risk in the Region Zenica - Doboj Canton

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