黄土区长武塬地下水埋深动态特征及影响因素分析

【目的】明确地下水补给机制并指导地下水资源合理开发。【方法】基于1976—2017年长武塬区5眼监测井的地下水埋深数据,分析了地下水埋深动态变化,并利用互相关和多元线性回归等方法识别地下水埋深的影响因素。【结果】长武塬区地下水埋深介于25~95 m之间,各井因水文地质和人为干扰程度等差异表现出不同的波动特征。地下水埋深总体呈波动下降趋势,降幅介于0.08~0.21 m/a。气象因子、植被和人为因素在年内或年际尺度对地下水埋深都有一定影响,但主导性不同。年际尺度,人为因素主导地下水埋深变化,贡献率达74%。年内尺度,植被是影响地下水埋深的主要因素,贡献率为40%。【结论】人口、GDP和苹果园面积...

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Veröffentlicht in:Guanʻgai paishui xuebao 2022-10, Vol.41 (10), p.90-97
Hauptverfasser: SUN Jineng, WANG, Wanzhou, YAN, Xin, LI, Bingbing, LI, Zhi
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container_end_page 97
container_issue 10
container_start_page 90
container_title Guanʻgai paishui xuebao
container_volume 41
creator SUN Jineng
WANG, Wanzhou
YAN, Xin
LI, Bingbing
LI, Zhi
description 【目的】明确地下水补给机制并指导地下水资源合理开发。【方法】基于1976—2017年长武塬区5眼监测井的地下水埋深数据,分析了地下水埋深动态变化,并利用互相关和多元线性回归等方法识别地下水埋深的影响因素。【结果】长武塬区地下水埋深介于25~95 m之间,各井因水文地质和人为干扰程度等差异表现出不同的波动特征。地下水埋深总体呈波动下降趋势,降幅介于0.08~0.21 m/a。气象因子、植被和人为因素在年内或年际尺度对地下水埋深都有一定影响,但主导性不同。年际尺度,人为因素主导地下水埋深变化,贡献率达74%。年内尺度,植被是影响地下水埋深的主要因素,贡献率为40%。【结论】人口、GDP和苹果园面积的增加对地下水埋深影响较大,需要考虑人类活动与水资源间的可持续性。
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subjects Agricultural development
Anthropogenic factors
Boreholes
Cross correlation
Economic development
Environmental changes
Environmental management
Geology
Groundwater
Groundwater levels
Groundwater management
Groundwater recharge
Human influences
Hydrogeology
Loess
Orchards
Population studies
Resource management
Sustainable development
Vegetation
Water resources
Water table
title 黄土区长武塬地下水埋深动态特征及影响因素分析
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