| 西双版纳州渔业资源研究 |
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| 引用本文： | 胡文娴,康斌,杨春明.西双版纳州渔业资源研究[J].云南地理环境研究,2010,22(5):94-98. |
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| 作者姓名： | 胡文娴 康斌 杨春明 |
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| 作者单位： | [1]云南省国际河流和跨境生态安全重点实验室,云南大学亚洲国际河流中心,云南昆明650091 [2]中国国家级昆明经济技术开发区环境保护局,云南昆明650217 [3]云南省西双版纳州水文局,云南景洪666100 |
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| 摘 要： | 根据澜沧江下游流域西双版纳州1989～2006年渔业资源量数据,分析渔业资源量变动特征,结合1989～2003年同期水文数据,应用人工神经网络技术分析环境因子与渔业捕捞量的关联,并依据2006年数据进行预测检验。结果表明,自1989～2006年,西双版纳州水产品产量逐年增加,养殖面积扩大、养殖技术发展是主要原因。渔业捕捞量总体呈现上升趋势,但在1990～1991、1998～1999及2001～2003年有所下降,与渔政管理和执法加强相关。气温和年降水量对渔业捕捞量的影响最大,其次是最高水温、最低含沙量和最低径流量。人工神经网络下渔业资源模拟值与实际值相关性高,2006年预测值与实际值的相对误差为9.7%,模型预测效果好。
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| 关 键 词： | 渔业资源量 人工神经网络 澜沧江 西双版纳 |
RESEARCH ON FISHERIES RESOURCES IN XISHUANGBANNA |
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| HU Wen-xian,KANG Bin,YANG Chun-ming.RESEARCH ON FISHERIES RESOURCES IN XISHUANGBANNA[J].Yunnan Geographic Environment Research,2010,22(5):94-98. |
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| Authors: | HU Wen-xian KANG Bin YANG Chun-ming |
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| Institution: | 1.Key Laboratory of International Rivers and Transboundary Eco-security,Asian International Rivers Center,Yunnan University,Kunming 650091,Yunnan,China;2.China Kunming Economic and Technological Development Zone,Kunming 650217,Yunnan,China;3.Fishery Management Department,Xishuangbanna Prefecture,Jinghong 666100,Yunnan,China) |
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| Abstract: | Fisheries data from 1989 to 2006 of Xishuangbanna was used to test the fisheries change.Combined with the contemporaneous hydrological data,a model on relationship between fishing quantity and environmental factor was set up under artificial neural network（ANN）,and the model validity was tested by data in 2006.Results showed fisheries increased in 1989～2006,which can be attributed to the expanding aquaculture area and development of techniques.Fishing quantity showed a increasing tendency except declines in1990～1991,1998～1999 and 2001～2003 caused by the effective management.Air temperature and annual precipitation were the most influential factors on fishing quantity,followed by the highest water temperature,minimum sediment content and minimum water flow.Under ANN,the stimulant values were similar with the actual values,and the difference between predictive and actual values of fishing quantity in 2006 was 9.7%.This indicated ANN method was valid in prediction in Xishuangbanna fishing quantity. |
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| Keywords: | fisheries artificial neural network Lancang River Xishuangbanna |
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