摘要
为定量表达地面沉降和地下水位变化的空间关系,分析地下水超采对地面沉降的影响,该文基于永久散射体干涉测量(PS-InSAR)技术获取北京平原区地面沉降信息,采用普通最小二乘(OLS)和地理加权回归(GWR)建立北京平原区地面沉降与各含水层水位变化的响应模型;通过对比分析发现GWR模型能够表征77%的地面沉降与地下水位变化相关关系,可更直观地揭示不同地区地下水超采对地面沉降影响的空间特征,更好地表达地面沉降与地下水位变化的空间非平稳性。基于GWR模型的研究表明,不同含水层的水位变化对不同地面沉降区的影响不同,第二、三承压含水层的开采对严重和较严重沉降区的正向影响较大,与北京市以第二、三承压含水层为主要应用水的统计规律一致。
In order to quantitatively express the spatial relationship of land subsidence and groundwater level change,and analyze the influence of groundwater withdrawal on land subsidence,we obtained land subsidence deformation of Beijing Plain by using the presistent scatterers interferometry synthetic aperture radar(PS-InSAR)technique,and used the ordinary least squares(OLS)and geographical weighted regression(GWR)to establish the response models of land subsidence and groundwater level changes of various aquifers in Beijing Plain.The comparative analysis of two models indicated that the GWR model can characterize 77% of the correlation between land subsidence and groundwater level change of aquifers.The GWR model can more intuitively reveal the spatial characteristics of the land subsidence due to groundwater withdrawal in different areas and can express the spatial nonstationarity of land subsidence and groundwater level change of aquifers.The study based on GWR model shows that the changes of groundwater level in different aquifers have different impact on the land subsidence in different subsidence areas.The groundwater withdrawal in the second and third confined aquifers has a greater positive impact on the severe and less severe subsidence areas,which is consistent with the statistical result of the main water usage in Beijing.
作者
田秀秀
王彦兵
杨翠玉
赵亚丽
王新雨
TIAN Xiu-xiu;WANG Yan-bing;YANG Cui-yu;ZHAO Ya-li;WANG Xin-yu(College of Resource Environment and Tourism,Capital Normal University/Key Laboratory of 3D Information Acquisition and Application of Capital Normal University,Ministry of Education/Beijing Laboratory of Water Resources Security,Capital Normal University,Beijing 100048,China)
出处
《地理与地理信息科学》
CSCD
北大核心
2021年第3期97-102,F0003,共7页
Geography and Geo-Information Science
基金
北京市自然科学基金项目(8202009)
国家自然科学基金项目(42071376)。
