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Cause Analysis and Prediction of the Groundwater Level in Jinghuiqu Irrigation District

机译:井回渠灌区地下水位的成因分析与预测。

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摘要

Groundwater environmentevolution can comprehensively reflect groundwater dynamics. Based on therelationship between the groundwater system and the external environment in Jinghuiquirrigation district, adopting the Principal Component Analysis method, variationcharacteristics of environmental factors including climate and human activityand their impact on groundwater were systematically analyzed. The results showthat groundwater level in Jinghuiqu irrigation district has been significantly droppedin nearly 34 years; the reduction of surface water irrigation use, whichreduced the amounts of groundwater recharge and destroyed the water balance, isconsidered as the most direct cause for falling of regional groundwater level.Besides, reduction in precipitation, increase of evaporation also acceleratedthe declining of the groundwater level at some extent. Finally, a predictingmethod of groundwater depth based on BP neural network is developed. Theexperimental results show that the predicting model can reasonablely predictthe groundwater level in Jinghuiqu irrigation district with a high precision.
机译:地下水环境演化可以全面反映地下水动力学。在景惠灌区地下水系统与外部环境之间的关系的基础上,采用主成分分析法,系统分析了气候和人类活动等环境因素的变化特征及其对地下水的影响。结果表明,井回渠灌区的地下水水位在近34年中已显着下降。减少地表水灌溉的使用减少了地下水的补给量并破坏了水的平衡,这被认为是造成区域地下水位下降的最直接原因。此外,降水减少,蒸发增加也加速了该地区地下水位的下降。在一定程度上。最后,提出了一种基于BP神经网络的地下水深度预测方法。实验结果表明,该预测模型可以合理,准确地预测井回渠灌区的地下水位。

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