Abstract

In developing countries in general and in Vietnam in particular, flood induced economic loss of agriculture is a serious concern since the livelihood of large populations depends on agricultural production. The objective of this study was to examine if climate change would exacerbate flood damage to agricultural production with a case study of rice production in Huong Son District of Ha Tinh Province, North-central Vietnam. The study applied a modeling approach for the prediction. Extreme precipitation and its return periods were calculated by the Generalized Extreme Value distribution method using historical daily observations and output of the MRI-CGCM3 climate model. The projected extreme precipitation data was then employed as an input of the Mike Flood model for flood modeling. Finally, an integrated approach employing flood depth and duration and crop calendar was used for the prediction of potential economic loss of rice production. Results of the study show that in comparison with the baseline period, an increase of 49.14% in the intensity of extreme precipitation was expected, while the frequency would increase 5 times by 2050s. As a result, the seriousness of floods would increase under climate change impacts as they would become more intensified, deeper and longer, and consequently the economic loss of rice production would increase significantly. While the level of peak flow was projected to rise nearly 1 m, leading the area of rice inundated to increase by 12.61%, the value of damage would rise by over 21% by 2050s compared to the baseline period. The findings of the present study are useful for long-term agricultural and infrastructural planning in order to tackle potential flooding threats to agricultural production under climate change impacts.

Highlights

  • Over the past few decades, natural disasters have been reported with increasing frequency and severity worldwide (Keerthiratne and Tol, 2018; Boustan et al, 2020; Rosselló et al, 2020)

  • The projection of extreme precipitation with MRI-CGCM3 was run under Representative Concentration Pathway (RCP) 8.5, which presents the highest level of radiative forcing for 2,100 relative to pre-industrial values (+8.5 W/m2)

  • In Vietnam, flood damage to rice production is a great concern since rice is a major product for export and the livelihood of large populations depends on rice production

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Summary

Introduction

Over the past few decades, natural disasters have been reported with increasing frequency and severity worldwide (Keerthiratne and Tol, 2018; Boustan et al, 2020; Rosselló et al, 2020). According to the United Nations Office for Disaster Risk Reduction (UNISDR, 2009), the cost of natural disasters around the world will exceed US$300 billion annually through 2050 and that figure was exceeded in 2011 when the cost exceeded US$360 billion (Daniell et al, 2016). Floods are listed among the most frequent and damaging natural disasters. The International Disaster Database reported that the average annual global cost of flood damage is approximately US$90 billion.

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