首页 | 本学科首页   官方微博 | 高级检索  
     检索      

和田绿洲洛浦灌区地下水动态变化规律分析与模拟
引用本文:冷中笑,海米提·依米提,高前兆.和田绿洲洛浦灌区地下水动态变化规律分析与模拟[J].干旱区资源与环境,2009(3).
作者姓名:冷中笑  海米提·依米提  高前兆
作者单位:新疆大学资源与环境科学学院绿洲生态重点实验室;干旱半干旱可持续发展国际研究中心;中国科学院寒区早区环境与工程研究所;
基金项目:国家自然科学基金项目(40661002/D0104);;世界银行贷款项目(HTJ001)资助
摘    要:分析了塔里木盆地南缘和田绿洲洛浦灌区地下水位较高的成因,研究了灌区地下水位年内的动态变化规律,利用小波分析的多分辨率功能和人工神经网络的非线性逼近功能,建立了基于小波变换和BP神经网络的地下水埋深动态预测小波神经网络模型。结果表明:灌区地下水位变化具有周期性、季节性的特点,并且可以被小波神经网络模型准确地模拟,模型预测洛浦灌区在未来几年内地下水位会持续上升,年平均升幅为0.1 m左右,因此当地应加强地下水的科学管理。

关 键 词:和田绿洲  地下水位变化规律  小波神经网络

Analysis and Simulation of Groundwater Table Change of Luopo Irrigation Region in Hetian Oasis
Institution:1.Resources and Environment Science College;Xinjiang key Laboratory of Oasis Ecology;Xinjiang University;Urumqi 830046;2.International Center for Desert Affairs-Research for Sustainable Development in Semi-Arid and Arid Land;3.Cold and Arid Regions Environmental and Engineering Research Institute;Chinese Academy of Sciences;Lanzhou 730000;China
Abstract:In this paper,the reason of high groundwater table of Luopo irrigation region was analyzed in Hetian Oasis,Southern Margin of Tarim Basin.Mayor factors influencing the groundwater table of irrigation region were ascertained and the groundwater table change is simulated based on wavelet transform and BP neural network.Through this model,the groundwater dynamic variation regularities were analyzed.The results of precision test and comparative analysis showed that the precisions of this model were high in fitt...
Keywords:Hetian Oasis  Groundwater  Wavelet neural network  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号