Evolution of Clark's Unit Graph Method to Spatially Distributed Runoff

Yang, Ming-Sang; Kull, Daniel Werner; Feldman, Arlen D.

doi:10.1061/(asce)1084-0699(1999)4:1(89)

Cited by 2 publications

(2 citation statements)

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“…Subcatchments are ranked based on their contribuƟon the flood peak Kull and Feldman (1999), where the study area is divided into uniform cells, runoff for each cell is determined and lagged based on the travel time to the outlet. Runoff is also directed through a reservoir function to account for storage.…”

Section: Flood Index Categorisaɵonmentioning

confidence: 99%

“…3 was used to account for spatially distributed rainfall, losses, and storage within a catchment. The underlying assumption of the ModClark model is that the velocity of the flow is uniform over the entire area and the duration of runoff to the outlet is directly proportional to the distance from the outlet (Kull and Feldman 1999;Bhattacharya et al 2012).…”

Section: Flood Index Categorisaɵonmentioning

confidence: 99%

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A review of modelling methodologies for flood source area (FSA) identification

et al. 2021

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Flooding is an important global hazard that causes an average annual loss of over 40 billion USD and affects a population of over 250 million globally. The complex process of flooding depends on spatial and temporal factors such as weather patterns, topography, and geomorphology. In urban environments where the landscape is ever-changing, spatial factors such as ground cover, green spaces, and drainage systems have a significant impact. Understanding source areas that have a major impact on flooding is, therefore, crucial for strategic flood risk management (FRM). Although flood source area (FSA) identification is not a new concept, its application is only recently being applied in flood modelling research. Continuous improvements in the technology and methodology related to flood models have enabled this research to move beyond traditional methods, such that, in recent years, modelling projects have looked beyond affected areas and recognised the need to address flooding at its source, to study its influence on overall flood risk. These modelling approaches are emerging in the field of FRM and propose innovative methodologies for flood risk mitigation and design implementation; however, they are relatively under-examined. In this paper, we present a review of the modelling approaches currently used to identify FSAs, i.e. unit flood response (UFR) and adaptation-driven approaches (ADA). We highlight their potential for use in adaptive decision making and outline the key challenges for the adoption of such approaches in FRM practises.

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Section: Flood Index Categorisaɵonmentioning

confidence: 99%

Section: Flood Index Categorisaɵonmentioning

confidence: 99%