HUBEI AGRICULTURAL SCIENCES ›› 2023, Vol. 62 ›› Issue (9): 57-63.doi: 10.14088/j.cnki.issn0439-8114.2023.09.010

• Resource & Environment • Previous Articles     Next Articles

The influence of different weather conditions on aquaculture water temperature in Ezhou City

HONG Tao1, WANG Bao1, LIU Ke-qun2, TANG Yang2, JIANG Run1, WANG Xiao-fang3   

  1. 1. Ezhou Meteorological Bureau, Ezhou 436000, Hubei, China;
    2. Wuhan Regional Climate Center, Wuhan 430074, China;
    3. Institute of Agricultural Economy and Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
  • Received:2023-08-13 Online:2023-09-25 Published:2023-10-24

Abstract: In order to study the impact of different weather conditions on the water temperature of aquaculture, daily and hourly meteorological observation data from the Dushan Town Automatic Meteorological Station and the Ezhou National Meteorological Station in Ezhou City, as well as hourly water temperature observation data from different water layers at the Wuchang Fish Original Farm (Dushan) Base in Dushan Town were used. The changes in water temperature in fishing ponds under four weather conditions: sunny, cloudy to less cloudy, low light, and rainy to statistically analyze. The results showed that the trend of water temperature changes in different water layers of the fishing pond was the same, with the lowest daily water temperature generally appearing from 7:00 to 8:00, and the highest daily water temperature generally appearing from 16:00 to 20:00. The deeper the water layer, the later the highest and lowest water temperatures occurred. The diurnal difference in water temperature was the highest on sunny days, with the highest difference in water temperature among layers. On rainy days, the diurnal difference in water temperature was the lowest, and the difference in water temperature among layers was also the smallest. Under various weather conditions, the amplitude of water temperature change was smaller than that of temperature. The response of the lowest water temperature to temperature lagged by 1~2 hours, while the response of the highest water temperature to temperature lagged by 1~5 hours. The hysteresis effect of water temperature was more obvious under high temperature weather conditions. As the wind speed increased, the water temperature difference in each layer increased, and the maximum value of wind speed appeared earlier than the maximum value of water temperature. PCA double sequence analysis showed that temperature and wind speed from 13:00 to 17:00 could be important parameters for predicting shallow water temperature (30, 50 cm).

Key words: water temperature, aquaculture, different weather conditions, temperature, Ezhou City,Hubei Province

CLC Number: