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机构地区:[1]西北农林科技大学水利与建筑工程学院,陕西杨凌712100
出 处:《中南大学学报(自然科学版)》2012年第12期4912-4916,共5页Journal of Central South University:Science and Technology
基 金:国家科技支撑计划项目(2006BAD11B05);国家自然科学基金资助项目(50879071)
摘 要:为预知兴平市黄土台原区未来的地下水位动态变化趋势,采用R/S分析法及其修正式计算065和066号井1994~2009年月平均水位埋深时间序列的Hurst指数以及统计量Vτ。通过分析区域地下水的补给来源,用Kendall秩次相关检验法和5点滑动平均法分别对兴平市同期的年降水序列和地表水灌溉序列进行了趋势成分识别。研究结果表明:065和066号井月平均水位埋深序列的H分别是0.989和0.974 9,相应的Vτ与lnτ的关系曲线向上倾斜,即065和066号井的水位埋深在未来年份仍然有着显著下降的趋势。兴平市年降水量略减少的趋势并不显著,灌溉水量却有着明显的减少趋势,这与同期的地下水位动态变化趋势是相一致的。To predict groundwater level regime variation trend of loess tableland areas in Xingping city, Hurst index and statistic Vr of the groundwater level depth series for well 065 and 066 were calculated by R/S analysis method as well as its modification form. After analyzing the recharge source of regional groundwater, Kendall rank correlation test method and 5 points moving average method were employed to recognize the trend components of corresponding annual average precipitation and surface water irrigation series, respectively. The results indicate that H of well 065 and 066 water level depth series equal 0.989 and 0.974 9 separately. Meanwhile, the corresponding relation curves between Vt and In r are both upward-sloping. Therefore, water levels of well 065 and 066 in future still have a significant dropping trend. The decreasing trend of annual average rainfall is not obvious while irrigation water reduces strikingly, which is consistent with the groundwater level dynamic change.
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