摘要
根据历史资料探讨西咸新区地下水埋深的时空变化特征,分析地下水位动态对各驱动因子(降雨、蒸发、径流、地下水开采)的响应情况,采用投影寻踪回归方法定量评估各驱动因子对地下水位埋深的相对贡献度.结果表明,1990-2016年西咸新区平均地下水位埋深明显增加,不同新城的地下水位空间分布特征和年内埋深变化不尽相同.降水、蒸发、径流和地下水开采量4个驱动因子中,降水、径流量均呈减少趋势,与地下水埋深呈负相关;蒸发量呈先增大后减小的趋势;浅层地下水开采量整体上呈增加趋势,约占地下水总开采量的80%,与地下水位埋深呈显著正相关.地下水开采量对地下水位动态影响贡献最大,相对贡献度为77.47%,降水、径流次之,分别占61.50%、13.44%,蒸发(5.71%)影响最小.
Based on historical data,the characteristics of temporal and spatial variations in groundwater depth in the Xixian New District were discussed,and the response of groundwater level dynamics to various driving factors(rainfall,evaporation,runoff,groundwater mining)was analyzed;the projection pursuit regression method was used to quantitatively evaluate the relative contribution rate of each driving factor to the groundwater depth and the results showed that the average groundwater depth in the Xixian New District increased significantly from 1990 to 2016,and the spatial distribution characteristics of the groundwater depth and depth changes during the years were different in each new city.Of the four driving factors,precipitation and runoff both showed a decreasing trend,having a negative correlation with the groundwater depth.The evaporation first increased and then decreased.The shallow groundwater mining showed an overall increasing trend,accounting for about 80%of the total amount of groundwater extracted,which was significantly positively correlated with the groundwater depth.The groundwater extraction made the largest contribution to groundwater level dynamics,with a relative contribution rate of 77.47%.Precipitation and runoff were second,accounting for 61.50%and 13.44%respectively,and evaporation(5.71%)had the least impact.
作者
王筱
杨阿敏
周维博
WANG Xiao;YANG A-min;ZHOU Wei-bo(Key Laboratory of Subsurface Hydrology and Ecology Effects in Arid Region,Ministry of Education,School of Water and Environment,Chang'an University,Xi'an 710054,China)
出处
《兰州大学学报（自然科学版）》
CAS
CSCD
北大核心
2021年第4期465-472,共8页
Journal of Lanzhou University(Natural Sciences)
基金
中国地质调查局地质调查项目(12120113004800)
陕西省水利科技计划项目(2018slkj-10)
关键词
地下水埋深
驱动因子
投影寻踪回归方法
相对贡献率
西咸新区
groundwater depth
driving factor
projection pursuit regression
relative contribution rate
Xixian New District
