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小波消噪时间序列模型在红卫农场地下水预测中的应用

Application of Wavelet Denoising Time Series Model in Groundwater Forecasting for Hongwei Farm
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摘要 近年来,随着红卫农场水田面积迅速增加及其水资源的过量开采,导致地下水水位进一步下降,逐渐威胁到农业生产,并出现地面沉降、地下漏斗等一系列问题。文章通过基于小波消噪理论的时间序列模型预测地下水水位,揭示该区域地下水水位的时间变化规律,从而为红卫农场地下水资源的合理利用及可持续发展提供理论依据。 In recent years,with rapid increase in the area of paddy field of Hongwei Farm and extra-exploration for water resources,the groundwater level has been further lowered,which will threaten gradually the agricultural production,and a series of problems including ground settlement and underground funnel appeared. This paper forecasted the groundwater level by using the time series model based on wave denoising to discover the time changing law of groundwater level in this area,accordingly,providing the theatrical accordance for reasonable use and sustainable development of groundwater resources of Hongwei Farm.
作者 李婧
出处 《黑龙江水利科技》 2017年第5期127-130,共4页 Heilongjiang Hydraulic Science and Technology
关键词 小波消噪 时间序列模型 地下水水位 预测 wavelet denoising time series model groundwater level forecast
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