Developing a multivariable lookup table function for estimating flood damages of rice crop in Vietnam using a secondary research approach

Nguyen, Nhu Y; Kha, Dang Dinh; Ichikawa, Yutaka

doi:10.1016/j.ijdrr.2021.102208

Cited by 11 publications

(4 citation statements)

References 39 publications

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“…These are influenced by the flood depth and flood duration of real events across the larger space. Small differences between univariate (flood depth variable only) and multivariate (e.g., depth and duration) have also been found in a study conducted by Nguyen et al [14].…”

Section: Discussionsupporting

confidence: 59%

Discrepancies in estimated flood losses on paddy production: Application of damage models on historical flood records of the Northwest States of Peninsular Malaysia

Rehan

Yiwen

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Information of flood damage to crops production is essential for guiding risk-based decisions in reducing future adverse impacts of floods. For paddy, its susceptibility to floods is one of the factors that may influence the loss of paddy’s production. To date, there have been limited studies that have been undertaken to examine in detail how different damage functions (with and without a susceptibility index) influence flood damage estimates of paddy using past recorded flood information. This study attempts to examine flood damage functions of different forms in two conditions: as their stand-alone forms and when being applied for damage and risk estimations. Furthermore, recorded revenues from the past were used to investigate the effects of paddy’s susceptibility to floods on revenues. Historical flood evidence and revenues between 1987 and 2021 occurred on paddy granaries under the Muda Agricultural Development Authority’s (MADA) monitoring located in Perlis and Kedah states of Peninsular Malaysia and were used in this study. Application of three damage functions reveals that the exclusion of susceptibility index from the damage calculation results in significantly overestimations of losses, with a standard deviation reaching as high as 38 and overestimations up to four times that of the function with susceptibility index. The high estimates could hinder the acceptance of risk-based flood assessment (and its results) in flood alleviation decision-making. Furthermore, as the percentage of flooded area increases, the revenue loss increases, indicating the effects of floods on harvested paddy quality. This further highlights the potential role of the susceptibility index in the damage function.

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Section: Discussionsupporting

confidence: 59%

Discrepancies in estimated flood losses on paddy production: Application of damage models on historical flood records of the Northwest States of Peninsular Malaysia

Rehan

Yiwen

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…growth stage, height, and submergence tolerance). For example, the effects of complete submergence during a crop's vegetative stage causes more serious yield loss than when it is in the reproductive stage (Nguyen et al, 2021c). Third, while the sturdiness of buildings decreases ood damage, the city wealth can increase the ability to support residents after a ood reduces the ood risk.…”

Section: Signi Cance and Validation Of Resultsmentioning

confidence: 99%

Bottom-up approach for flood-risk management in developing countries: a case study in the Gianh River watershed of Vietnam

Nguyen,

Nguyen

et al. 2023

Nat Hazards

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Flood effects are very serious, especially in developing countries where they are at high risk due to urbanization and socio-economic development. Reliable information is crucial to support decisionmakers or planners to develop appropriate strategies to reduce ood risk. This article aims to develop a theoretical framework for assessing ood risk and adaptive capacity based on a bottom-up approach, in the Gianh River watershed of Vietnam, considered a very important task for ood risk management. Flood risk was computed by combining hazard, exposure, and vulnerability using hydrodynamic modeling and the Analytic Hierarchy Process method. The adaptive capacity of the population was assessed via interviews with 298 inhabitants. The results show that ood risk is high in areas with high population and construction density. Both the ability to access resources and communities' perceptions are important factors in improving the capacity to adapt. This study can provide an important theoretical framework complementing the existing literature and supporting studies related to ood risk management in the context of climate change and urbanization in other regions. Besides, the study lls in a gap in the knowledge of negative ood effects, providing important inputs for decision-makers to develop appropriate strategies for reducing damage in Vietnam and other countries in the world. From a methodological start point, this study underlines the importance of using hydraulic models and socioeconomic surveys in ood risk management.

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“…MOP [21] is the abbreviation for multiobjective optimization problem. It is mainly designed to deal with some optimization problems with multiple objectives and multiple constraints, and its components generally have two, i.e., objective function and decision variables and its mathematical method is expressed as:…”

Section: Multi-objective Optimization Problem For Circular Economy In...mentioning

confidence: 99%

Internet Smart Technology Drives High Quality Development of Agricultural Economy

Zhuansun

2024

Applied Mathematics and Nonlinear Sciences

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This paper builds a mechanism for the integration of the digital economy and agricultural economy and analyzes the scientific path of agricultural economic development under the mode of “Internet+”. Secondly, on the basis of Internet technology, for the multi-objective optimization problem of agricultural circular economy, the multi-objective optimization problem is solved by selecting decision variables of agricultural circular economy and determining the objective function of agricultural circular economy. Then, from the actual situation of the regional agricultural economy, we determine the constraints, decision variable parameters, and the adaptability function so as to construct the structural optimization model of the agricultural circular economy and carry out an example analysis of the high-quality development of the agricultural economy. The results show that on the model optimization analysis, the optimized planting area of corn is 15,956 hectares, and the optimized numbers of pigs, cattle and poultry are 302, 144, 25, 543 and 579, 1332, respectively. On the model application prediction analysis, it is recommended to increase the support for agriculture to 102.5% (2022=100%) while increasing the support for forestry to 105.1% (2022=100%). This study provides strong support and guidance for the optimization of the agricultural and industrial structure and provides a more scientific decision-making basis for the high-quality development of the agricultural economy.

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Developing a multivariable lookup table function for estimating flood damages of rice crop in Vietnam using a secondary research approach

Cited by 11 publications

References 39 publications

Discrepancies in estimated flood losses on paddy production: Application of damage models on historical flood records of the Northwest States of Peninsular Malaysia

Discrepancies in estimated flood losses on paddy production: Application of damage models on historical flood records of the Northwest States of Peninsular Malaysia

Bottom-up approach for flood-risk management in developing countries: a case study in the Gianh River watershed of Vietnam

Internet Smart Technology Drives High Quality Development of Agricultural Economy

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