Design and Application on Weather Indices Model for High Temperature Disaster of Chinese Hairy Crab in Anhui

doi:10.3969/j.issn.1000-6362.2020.05.006

Abstract

Abstract: Weather index agricultural insurance is an important way of avoiding agricultural production risk and improving recovery capabilities. Based on the water temperature observation data from internet of things and Chinese hairy crab yield data in three intensive culture ponds from 2012 to 2016, mortality data from 2001 to 2016 and daily surface meteorological observation data from 1985 to 2016 in Dangtu of Anhui province, the correlations between water temperatures at different depths and the yield of Chinese hairy crab (Eriocheir Sinensis) were analyzed, the key disaster-inducing factor of high temperature disaster and its critical value were determined. Then, the correlations between key disaster-inducing factor and air temperatures were analyzed and their relationship model was built. Based on the relationship model, the critical value of air temperature was calculated and the heat damage weather index of China hairy crab was defined. Based on this, combined with the Chinese hairy crab mortality data caused by high temperature disaster, the grade indices of high temperature disaster were established by K-means clustering analysis method. The insurance claim schemes based on the grade indices were designed preliminarily and was applied in Dangtu. The results showed that the key disaster-inducing factor of high temperature disaster was daily average water temperature at 60cm depth and its critical value was 31℃.The key disaster-inducing factor had the most correlation with daily average air temperature of the previous day. Based on their relationship model, the critical value of daily average temperature was calculated to be 30.5℃, the value of cumulative days when daily average temperature equal or greater than 30.5℃ from June 21 to September 10 were defined as the high temperature disaster weather index of Chinese hairy crab（S）.The damage could be defined as slight when the mortality was between 0-1%(0

Key words: Chinese hairy crab, High temperature disaster, Key disaster-inducing factor, Grade indices, Weather index insurance

CLC Number:

LIU Rui-na, YANG Tai-ming, CHEN Jin-long, CHEN Jin-hua, SUN Xi-bo. Design and Application on Weather Indices Model for High Temperature Disaster of Chinese Hairy Crab in Anhui[J]. Chinese Journal of Agrometeorology, 2020, 41(05): 320-327.

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