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湖南洛塔干河猪场表层岩溶泉BP人工神经网络分析
引用本文:陈宏峰,朱明秋,夏日元,唐健生,梁彬.湖南洛塔干河猪场表层岩溶泉BP人工神经网络分析[J].中国岩溶,2005,24(4):300-304.
作者姓名:陈宏峰  朱明秋  夏日元  唐健生  梁彬
作者单位:中国地质科学院岩溶地质研究所,广西,桂林,541004
基金项目:国土资源部科技攻关项目,国家科技攻关项目
摘    要:采用湖南洛塔地区干河猪场表层岩溶泉日降水-日平均流量长期观测资料训练BP人工神经网络,建立了该泉的径流预测模型.通过模型训练输出结果中降水量对径流量的贡献率,分析了表层岩溶带对水资源的调蓄能力.结果表明,降水对泉流量的显著影响时间为6 天,当天和前一天的降水对当天的流量影响最大;干河猪场表层岩溶带可调蓄26.1%的岩溶水资源;干河猪场泉的全部流量可作为可采资源量,平均流量5.8 L/s,可满足目前的引水需求;通过改善土壤和植被覆盖条件可提高其调蓄能力.

关 键 词:干河猪场表层岩溶泉  调蓄能力  BP人工神经网络  贡献率
文章编号:1001-4810(2005)04-0300-05
收稿时间:2005-04-13

ANALYSIS ON EPIKARST SPRING WITH BP ANN IN LUOTA, HUNAN PROVINCE
CHEN Hong-feng,ZHU Ming-qiu,XIA Ri-yuan,TANG Jian-sheng and LIANG Bin.ANALYSIS ON EPIKARST SPRING WITH BP ANN IN LUOTA, HUNAN PROVINCE[J].Carsologica Sinica,2005,24(4):300-304.
Authors:CHEN Hong-feng  ZHU Ming-qiu  XIA Ri-yuan  TANG Jian-sheng and LIANG Bin
Institution:Institute of Karst Geology, CAGS, Guilin,Guangxi 541004,China
Abstract:This paper presents a forecast model of runoff to epikarst spring in Ganhezhuchang with BP ANN based on the long-term observation data of precipitation and flux in Luota, West Hunan. Contributing rate of precipitation to runoff are calculated to analyze the capability of modulation and storage in the epikarst zone, the time that the daily precipitation significantly affects the runoff is 6 days, especially on the present day and the previous day, the above-mentioned contributing rate accounts for 52.38%, and the epikarst zone in Ganhezhuchang can also modulate and conserve 26. 2% of the epikarst water, and the conserving capability can be enhanced by improving soil and vegetation conditions. All the flux of epikarst spring in Ganhezhuchang can be the safe yield, and average flow of which is 5.8 L/s, which can suffice channeling water.
Keywords:Epikarst spring in Ganhezhuchang  Capability of modulation and conservation  BP ANN  Contributing rate
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