首页> 外文期刊>Fresenius environmental bulletin >ANALYSIS OF FISH ABUNDANCE AND DISTRIBUTION PATTERN IN THE BEIBU GULF USING FISHERY ACOUSTIC MEASUREMENT COMBINED WITH ORDINARY KRIGING METHOD
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ANALYSIS OF FISH ABUNDANCE AND DISTRIBUTION PATTERN IN THE BEIBU GULF USING FISHERY ACOUSTIC MEASUREMENT COMBINED WITH ORDINARY KRIGING METHOD

机译:渔业声学测量与常规克里格法相结合的北埠湾鱼丰度和分布格局分析

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To evaluate the biomass distribution of fishery resources for hydroacoustic data, acoustic measurement was combined with ordinary kriging (OK) to perform data processing, which was supported with trawling data.Acoustic data were collected during daytime by using a Simrad EY60 echosounder with 70- and 120- kHz split beam transducers. Afterward, the undesirable data were eliminated, data transformation was carried out, the semivariogram models were statistically compared and filtered and subsequently OK was performed. The goodness of fit of OK was also assessed with the determination coefficient (R2), mean error (ME), and root mean square error (RMSE).The exponential model was the most suitable semivariogram model for the data, and the goodness of fit of OK was good (R2 = 0.8986, Pearson's r = 0.9481).The distribution pattern of fishery resources is probably less distributed from north to south and from east to west, which is consistent with the findings in the Summerbetween 1998 and 1999.
机译:为了评估渔业资源中水声数据的生物量分布,将声学测量与普通克里格(OK)结合进行数据处理,并以拖网数据为支持。白天,使用Simrad EY60回声仪在70- 120 kHz分束式换能器。之后,消除不良数据,进行数据转换,对半变异函数模型进行统计比较和过滤,然后执行OK。还通过确定系数(R2),平均误差(ME)和均方根误差(RMSE)评估了OK的拟合优度。指数模型是最适合数据的半变异函数模型,并且拟合优度OK的结果很好(R2 = 0.8986,Pearson r = 0.9481)。渔业资源的分布模式从北向南和从东向西的分布可能较少,这与1998年至1999年夏季的发现是一致的。

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