Position: Home > Articles > ARIMA model application to predict temporal pattern of fish catches of coastal area at Jingjiang Reach of the Yangtze River
Journal of Fisheries of China
2008,32
(6)
85-91
ARIMA模型在预测长江靖江段沿岸鱼类渔获量时间格局中的应用
作 者:
李辉华;郭弘艺;唐文乔;顾树信;黄少芳;沈林宏;魏凯
单 位:
江苏省靖江市渔政管理站;上海海洋大学省部共建水产种质资源发掘与利用教育部重点实验室
关键词:
鱼类渔获量;时间格局;ARIMA模型预测;沿岸湿地;长江靖江段
摘 要:
长江靖江段处于长江下游及河口段的交汇地带,是长江河口地区渔业资源养护的重要水域。2002-2006年,在靖江沿岸用一部定置张网每日采集,共获得鱼类3514.84kg。5年的月平均渔获量为58.59kg,以6月最高,达108.61kg;12月最低,仅为31.57kg,呈现出典型的非平稳时间序列。月渔获量经自然对数转换和一次季节差分后,获得了一组平稳的随机序列。按照残差不相关原则确定模型结构,依据Akaike信息准则(AIC)与Schwarz贝叶斯信息准则(SBC)确定模型优度,用SPSS V13.0软件对2002年1月至2006年12月的月渔获量进行ARIMA建模拟合。结果表明,模型为ARIMA(1,0,0)(0,1,1)12(不含常数项),方程为(1-0.327B)(1-B12)Lnyt=(1-0.825B12)et的残差是白噪声(P>0.05)。该模型对2003-2006年渔获量的拟合精度为71.49%~83.28%,较好地拟合了既往时段的渔获量。对2007年逐月渔获量预测的相对精度为58.64%~99.44%,年相对精度达81.60%,表明该模型能有效应用于长江口沿岸渔获量的预测。
译 名:
ARIMA model application to predict temporal pattern of fish catches of coastal area at Jingjiang Reach of the Yangtze River
作 者:
LI Hui-hua1,GUO Hong-yi1,TANG Wen-qiao1,GU Shu-xin2,HUANG Shao-fang1,SHEN Lin-hong2,WEI Kai1(1.Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources,Shanghai Ocean University,Ministry of Education,Shanghai 201306,China;2.Administration of Fishery of Jingjiang,Jingjiang 214500,China)
关键词:
fish catches;temporal pattern;ARIMA model prediction;coastal wetland;Jingjiang Reach of the Yangtze River
摘 要:
Jingjiang Reach of the Yangtze River,which is an important area for fishery resource conservation,is located at the connected region of lower reaches and estuary of Yangtze River.From 2002 to 2006,there were 3514.84 kg fish collected by stow net at Jingjiang coastal area.Average monthly fish catches added up to 58.59 kg in these 5 years,the maximum was 108.61 kg in June while the minimum was 31.57 kg in December which presented a typical non-stationary time-series.One stable random series could be obtained as monthly fish catches converted by natural logarithm and a seasonal difference.Model structure was determined according to criteria of residual un-correlation and model goodness was determined on the basis of Akaike Information Criteria(AIC) and Schwarz Bayesian Information Criteria(SBC).SPSS V13.0 software was used to construct the ARIMA model based on the monthly fish catches from Jan.2002 to Dec.2006 with consideration of residual un-correlation and concision.Akaike's information criterion(AIC) and Schwarz's Bayesian criterion(SBC) were used to confirm the fitness of mode1.These results showed that ARIMA(1,0,0)(0,1,1)12 model was confirmed and the predicting error for the equation of(1-0.327 B)(1-B12) Lnyt=(1-0.825 B12)et was white noise(P>0.05).The fitting precision of ARIMA model was 71.49%-83.28% during 2003-2006,which could ideally fit the past monthly fish catches.Relative precision of the forecasting for gradual month in 2007 was 58.64%-99.44% as well as the forecasting for 2007 is 81.60%.It indicated that ARIMA model can be well used to forecast the fish catches of coastal wetland at the estuary of the Yangtze River.
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