Agriculture flood risk assessment based on information diffusion

Sun, Zhangli; Liu, Xianfeng; Xiufang, Zhu; Pan, Yaozhong

doi:10.1109/igarss.2016.7730144

Cited by 1 publication

(1 citation statement)

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“…Xu et al assessed the flood catastrophe risk for the grain production at the provincial scale in China based on the block maxima model [15]. Sun et al calculated the agricultural flood risk at Henan Province, China using the information diffusion method (IDM) [16]. It is clear that probabilistic risk assessment is mainly suitable for single-factor analysis.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Agricultural Flood Risk Assessment Using Vulnerability Surface and Copula Functions

Zhang

Liu

Guo

et al. 2018

Water

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Agricultural flood disaster risk assessment plays a vital role in agricultural flood disaster risk management. Extreme precipitation events are the main causes of flood disasters in the Midwest Jilin province (MJP). Therefore, it is important to analyse the characteristics of extreme precipitation events and assess the flood risk. In this study, the Multifractal Detrended Fluctuation Analysis (MF-DFA) method was used to determine the threshold of extreme precipitation events. The total duration of extreme precipitation and the total extreme precipitation were selected as flood indicators. The copula functions were then used to determine the joint distribution to calculate the bivariate joint return period, which is the flood hazard. Historical data and flood indicators were used to build an agricultural flood disaster vulnerability surface model. Finally, the risk curve for agricultural flood disasters was established to assess the flood risk in the MJP. The results show that the proposed approaches precisely describe the joint distribution of the flood indicators. The results of the vulnerability surface model are in accordance with the spatiotemporal distribution pattern of the agricultural flood disaster loss in this area. The agricultural flood risk of the MJP gradually decreases from east to west. The results provide a firm scientific basis for flood control and drainage plans in the area.

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Section: Introductionmentioning

confidence: 99%