Investigating a floodplain scaling relation using a hydrogeomorphic delineation method

Nardi, Fernando; Vivoni, Enrique R.; Grimaldi, Salvatore

doi:10.1029/2005wr004155

Cited by 172 publications

(186 citation statements)

References 65 publications

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“…In the past decades, several scientific studies have been carried out by hydrologists to understand flood processes, and many numerical models predicting floodplain inundation and river hydraulics have been developed (Bates and De Roo, 2000;Nardi et al, 2006;Hunter et al, 2007;Bates, 2012). Some of these models have proved capable of making reliable predictions of the areas that can potentially be inundated in case of flooding .…”

Section: Theorising Floodplain Systems From the Perspective Of Hydrolmentioning

confidence: 99%

Towards understanding the dynamic behaviour of floodplains as human-water systems

Baldassarre

Kooy

Kemerink

et al. 2013

Hydrol. Earth Syst. Sci.

213

127

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Abstract. This paper offers a conceptual approach to explore the complex dynamics of floodplains as fully coupled human-water systems. A number of hydrologists have recently investigated the impact of human activities (such as flood control measures, land-use changes, and settlement patterns) on the frequency and severity of floods. Meanwhile, social scientists have shown how interactions between society and waters in deltas and floodplain areas, including the frequency and severity of floods, have an impact on the ways in which social relations unfold (in terms of governance processes, policies, and institutions) and societies are organised (spatially, politically, and socially). However, we argue that the interactions and associated feedback mechanisms between hydrological and social processes remain largely unexplored and poorly understood. Thus, there is a need to better understand how the institutions and governance processes interact with hydrological processes in deltas and floodplains to influence the frequency and severity of floods, while (in turn) hydrological processes co-constitute the social realm and make a difference for how social relations unfold to shape governance processes and institutions. Our research goal, therefore, is not in identifying one or the other side of the cycle (hydrological or social), but in explaining the relationship between them: how, when, where, and why they interact, and to what result for both social relations and hydrological processes? We argue that long time series of hydrological and social data, along with remote sensing data, can be used to observe floodplain dynamics from unconventional approaches, and understand the complex interactions between water and human systems taking place in floodplain areas, across scales and levels of human impacts, and within different hydro-climatic conditions, socio-cultural settings, and modes of governance.

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Section: Theorising Floodplain Systems From the Perspective Of Hydrolmentioning

confidence: 99%

Towards understanding the dynamic behaviour of floodplains as human-water systems

Baldassarre

Kooy

Kemerink

et al. 2013

Hydrol. Earth Syst. Sci.

213

127

View full text Add to dashboard Cite

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“…Floodplains are areas near stream channels shaped by the accumulated effects of floods of varying magnitudes and their associated geomorphological processes. These areas are also referred to as valley bottoms and riparian areas or buffers (Nardi et al, 2006).…”

Section: Delineation Of Exposure Areasmentioning

confidence: 99%

Regional prioritisation of flood risk in mountainous areas

Rogelis

Werner

Obregón

et al. 2016

Nat. Hazards Earth Syst. Sci.

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Abstract. In this paper a method is proposed to identify mountainous watersheds with the highest flood risk at the regional level. Through this, the watersheds to be subjected to more detailed risk studies can be prioritised in order to establish appropriate flood risk management strategies. The prioritisation is carried out through an index composed of a qualitative indicator of vulnerability and a qualitative flash flood/debris flow susceptibility indicator. At the regional level, vulnerability was assessed on the basis of a principal component analysis carried out with variables recognised in literature to contribute to vulnerability, using watersheds as the unit of analysis. The area exposed was obtained from a simplified flood extent analysis at the regional level, which provided a mask where vulnerability variables were extracted. The vulnerability indicator obtained from the principal component analysis was combined with an existing susceptibility indicator, thus providing an index that allows the watersheds to be prioritised in support of flood risk management at regional level. Results show that the components of vulnerability can be expressed in terms of three constituent indicators: (i) socio-economic fragility, which is composed of demography and lack of well-being; (ii) lack of resilience and coping capacity, which is composed of lack of education, lack of preparedness and response capacity, lack of rescue capacity, cohesiveness of the community; and (iii) physical exposure, which is composed of exposed infrastructure and exposed population. A sensitivity analysis shows that the classification of vulnerability is robust for watersheds with low and high values of the vulnerability indicator, while some watersheds with intermediate values of the indicator are sensitive to shifting between medium and high vulnerability.

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“…lack of high-resolution elevation data. The increasing availability of digital elevation models (DEMs) has given a strong impulse to the development of DEM-based hydrogeomorphic models (e.g., Williams et al 2000;Gallant and Dowling 2003;Nardi et al 2006). These models aim to supply automatic procedures for the delineation of areas exposed to flood inundation through a direct comparison of river stage and the elevation of the surrounding terrain.…”

Section: Introductionmentioning

confidence: 99%

Detection of Flood-Prone Areas Using Digital Elevation Models

2011

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The availability of new technologies far the measurement of surface elevation has addressed the lack of high-resolution elevation data, which has led to an increase in the attraction of automated procedures based on digital elevation models (DEMs) far hydrological applications, including the delineation of floodplains. In particular, the exposure to flooding may be delineated quite well by adopting a modified topographic index (TIm) computed from a DEM. The comparison of TI", and flood inundation maps (obtained from hydraulic simulations) shows that the portion of a basin exposed to flood inundation is generally characterized by a TIm higher than a given threshold, T (e.g., equal to 2.89 far DEMs with cell size of 20 m). This allows the development of a simple procedure far the identification of flood-prone areas that requires only two parameters far the calibration: the threshold T and the exponent of TIm' Because the modified topographic index is sensitive to the spatial resolution of the DEM, the optimal scale of representation for the performance of the method is investigated. The procedure is tested on the Arno River Basin by using the existing documentation of flood inundations produced by the Arno River Basin Authority for calibration and validation. This approach is applied on Il subcatchments with areas ranging from 489-6,929 km

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Investigating a floodplain scaling relation using a hydrogeomorphic delineation method

Cited by 172 publications

References 65 publications

Towards understanding the dynamic behaviour of floodplains as human-water systems

Towards understanding the dynamic behaviour of floodplains as human-water systems

Regional prioritisation of flood risk in mountainous areas

Detection of Flood-Prone Areas Using Digital Elevation Models

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