Review Article: Economic evaluation of flood damage to agriculture – review and analysis of existing methods

Brémond, Pauline; Grelot, Frédéric; Agenais, A.L.

doi:10.5194/nhess-13-2493-2013

Cited by 137 publications

(154 citation statements)

References 40 publications

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“…Unfortunately, the BDTopo doesn't take into account the agricultural crops. Still, between 2000 and 2007 the South of France was involved in at least 29 decrees of agricultural disaster due to floods [26]. This is why it seemed us important to include those elements into our inventory to be able to highlight their exposure and thought, damage potential.…”

Section: Selection Of the Elements At Riskmentioning

confidence: 99%

Assessing the exposure to floods to estimate the risk of flood-related damage in French Mediterranean basins

Martin¹,

Fouchier²,

Javelle³

et al. 2016

E3S Web Conf.

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Abstract. The dreadful floods of 1999, 2002 and 2003 in South of France have alerted public opinion on the need for a more efficient and a further generalized national flood-forecasting system. This is why in 2003 Irstea and Meteo-France have implemented a new warning method for flash floods, including on small watersheds, using radar rainfall data in real-time: the AIGA method. This modelling method currently provides real-time information on the magnitude of floods, but doesn't take into account the elements at risk surrounding the river streams. Its benefit for crisis management is therefore limited as it doesn't give information on the actual flood risk. To improve the relevance of the AIGA method, this paper shows the benefits of the combination of hydrological warnings with an exposure index, to be able to assess the risk of flood-related damage in real time. To complete this aim, this work presents an innovative and easily reproducible method to evaluate exposure to floods over large areas with simple land-use data. For validation purpose, a damage database has been implemented to test the relevance of both AIGA warnings and exposure levels. A case study on the floods of the 3 rd October 2015 is presented to test the effectiveness of the combination of hazard and exposure to assess the risk of flood-related damage. This combination seems to give an accurate overview of the streams at risk, where the most important amount of damage has been observed after the flood.

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Section: Selection Of the Elements At Riskmentioning

confidence: 99%

Assessing the exposure to floods to estimate the risk of flood-related damage in French Mediterranean basins

Martin¹,

Fouchier²,

Javelle³

et al. 2016

E3S Web Conf.

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show abstract

“…Pivot et al (2002) addressed the effects of flooding on soil characteristics, the potential decline in soil quality and the loss of soil structure. Brémond et al (2013) presented extensively all the existing methods regarding the economic evaluation of flood damages to agriculture.…”

Section: Introductionmentioning

confidence: 99%

“…The season of flood occurrence with respect to the phase of crop growth is the flood hazard parameter most frequently taken into account to assess crop damage. The second most frequent parameter is floodwater depth (Brémond et al 2013). Flood duration is also significant, although it is neglected when the damage analysis pertains to flash flood events.…”

Section: Introductionmentioning

confidence: 99%

An agricultural flash flood loss estimation methodology: the case study of the Koiliaris basin (Greece), February 2003 flood

et al. 2015

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River flooding causes significant losses to crops and negatively affects local agriculture economies, particularly in rural riverine areas. In this work, a techno-economic methodology for the monetary estimation of crop losses due to flash flooding is presented. The methodology takes into account flood depth and flow velocity, as provided by MIKE FLOOD, as well as the season of flood occurrence, and provides monetary estimates of crop damage based on synthetic logistic flow velocity-flood depth-crop damage surfaces. The development of the flood damage surfaces involved a questionnaire survey targeting practicing and research agronomists. Subsequently, a weighted Monte Carlo simulation was performed in order to enhance the questionnaire-based loss estimate information. Finally, synthetic flow velocity-flood depth-crop damage surfaces were developed for every crop under study and for every month using logistic regression analysis. The damage surfaces are an essential component of the developed model which was implemented in Python, enabling the GIS visualization of the estimated agricultural damage. The aforementioned methodology was applied for estimating the damage caused by a flash flood that took place in the Koiliaris River Basin in Crete for which no historical data exist. The novelty of the proposed methodology is the development of local synthetic flow velocityflood depth-crop damage surfaces. Furthermore, the velocity parameter, which is taken into account, makes the methodology suitable for flash flood events, where significant discharges and high velocities dominate, or for flood event cases which are characterized by high flow velocities. The methodology identifies rural areas and agricultural land uses that are most prone to flooding and serious crop damages and thus require greater attention. Furthermore, the methodology aptitude for developing local damage surfaces could be modulated in order to confront different flood scenarios on various crops distributions and be used to address agricultural planning activities.

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“…In contrast to hazard mapping, however, the assessment of damage and risk mapping is still far from being common practice [26,27]. Risk and damage information can be mapped with representative parameters with regard to flood risk: affected people, potential economic loss, i.e., building damage and crop damage.…”

Section: Introductionmentioning

confidence: 99%

Prompt Proxy Mapping of Flood Damaged Rice Fields Using MODIS-Derived Indices

Kwak¹,

Arifuzzanman

Iwami³

2015

Remote Sensing

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Flood mapping, particularly hazard and risk mapping, is an imperative process and a fundamental part of emergency response and risk management. This paper aims to produce a flood risk proxy map of damaged rice fields over the whole of Bangladesh, where monsoon river floods are dominant and frequent, affecting over 80% of the total population. This proxy risk map was developed to meet the request of the government on a national level. This study represents a rapid, straightforward methodology for estimating rice-crop damage in flood areas of Bangladesh during the large flood from July to September 2007, despite the lack of primary data. We improved a water detection algorithm to achieve a better discrimination capacity to discern flood areas by using a modified land surface water index (MLSWI). Then, rice fields were estimated utilizing a hybrid rice field map from land-cover classification and MODIS-derived indices, such as the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). The results showed that the developed method is capable of providing instant, comprehensive, nationwide mapping of flood risks, such as rice field damage. The detected flood areas and damaged rice fields during the 2007 flood were verified by comparing them with the Advanced Land Observing Satellite (ALOS) AVNIR-2 images (a 10 m spatial resolution) and in situ field survey data with moderate agreement (K = 0.57).

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Review Article: Economic evaluation of flood damage to agriculture – review and analysis of existing methods

Cited by 137 publications

References 40 publications

Assessing the exposure to floods to estimate the risk of flood-related damage in French Mediterranean basins

Assessing the exposure to floods to estimate the risk of flood-related damage in French Mediterranean basins

An agricultural flash flood loss estimation methodology: the case study of the Koiliaris basin (Greece), February 2003 flood

Prompt Proxy Mapping of Flood Damaged Rice Fields Using MODIS-Derived Indices

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