Details
Original language | English |
---|---|
Article number | 112894 |
Journal | Remote sensing of environment |
Volume | 271 |
Early online date | 11 Jan 2022 |
Publication status | Published - 15 Mar 2022 |
Abstract
Long-term excessive groundwater exploitation for agricultural, domestic and stock applications has resulted in substantial ground subsidence in Arizona, USA, and especially in the Willcox Groundwater Basin. The land subsidence rate of the Willcox Basin has not declined but has rather increased in recent years, posing a threat to infrastructure, aquifer systems, and ecological environments. In this study, we first investigate the spatiotemporal characteristics of land subsidence in the Willcox Groundwater Basin using an interferometric synthetic aperture radar (InSAR) time series analytical approach with L-band ALOS and C-band Sentinel-1 SAR data acquired from 2006 to 2020. The overall deformation patterns are characterized by two major zones of subsidence, with the mean subsidence rate increasing with time from 2006 to 2020. An approach based on independent component analysis (ICA) was adopted to separate the mixed InSAR time series signal into a set of independent signals. The application of ICA to the Willcox Basin not only revealed that two different spatiotemporal deformation features exist in the basin but also filtered the residual errors in InSAR observations to enhance the deformation time series. Integrating the InSAR deformation and groundwater level data, the response of the aquifer skeletal system to the change in hydraulic head was quantified, and the hydromechanical properties of the aquifer system were characterized. Historical spatiotemporal storage loss from 1990 to 2020 was also estimated using InSAR measurements, hydraulic head and estimated skeletal storativity. Understanding the characteristics of land surface deformation and quantifying the response of aquifer systems in the Willcox Basin and other groundwater basins elsewhere are important in managing groundwater exploitation to sustain the mechanical health and integrity of aquifer systems.
Keywords
- Aquifer system, Hydraulic head, Independent component analysis, InSAR, Willcox Basin
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Soil Science
- Earth and Planetary Sciences(all)
- Geology
- Earth and Planetary Sciences(all)
- Computers in Earth Sciences
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Remote sensing of environment, Vol. 271, 112894, 15.03.2022.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Mapping land subsidence and aquifer system properties of the Willcox Basin, Arizona, from InSAR observations and independent component analysis
AU - Peng, Mimi
AU - Lu, Zhong
AU - Zhao, Chaoying
AU - Motagh, Mahdi
AU - Bai, Lin
AU - Conway, Brian D.
AU - Chen, Hengyi
N1 - Funding Information: The authors would like to thank the European Space Agency for providing the Sentinel-1 SAR data freely. ALOS/PALSAR data were copyrighted by Japan Aerospace Exploration Agency (JAXA). NASA's 1-arcsec global SRTM digital surface model was provided by USGS via Earth Explorer (https://earth explorer.usgs.gov). The hydraulic head and GPS data are provided by The Arizona Department of Water Resources (https://new.azwater.gov/). Shapefiles in Fig. 1 are courtesy of ADWR. The Arizona Geological Survey (AZGS) provides the related geological information. Constructive comments from Associate Editor and 4 anonymous reviewers improved the manuscript. This research is jointly supported by the Natural Science Foundation of China (Grants No. 41874005, 41929001), the Fundamental Research Funds for the Central Universities, CHD (No. 300102269722, 300102269303) and the China Scholarship Council (No. 202006560072). Funding Information: This research is jointly supported by the Natural Science Foundation of China (Grants No. 41874005 , 41929001 ), the Fundamental Research Funds for the Central Universities , CHD (No. 300102269722 , 300102269303 ) and the China Scholarship Council (No. 202006560072 ).
PY - 2022/3/15
Y1 - 2022/3/15
N2 - Long-term excessive groundwater exploitation for agricultural, domestic and stock applications has resulted in substantial ground subsidence in Arizona, USA, and especially in the Willcox Groundwater Basin. The land subsidence rate of the Willcox Basin has not declined but has rather increased in recent years, posing a threat to infrastructure, aquifer systems, and ecological environments. In this study, we first investigate the spatiotemporal characteristics of land subsidence in the Willcox Groundwater Basin using an interferometric synthetic aperture radar (InSAR) time series analytical approach with L-band ALOS and C-band Sentinel-1 SAR data acquired from 2006 to 2020. The overall deformation patterns are characterized by two major zones of subsidence, with the mean subsidence rate increasing with time from 2006 to 2020. An approach based on independent component analysis (ICA) was adopted to separate the mixed InSAR time series signal into a set of independent signals. The application of ICA to the Willcox Basin not only revealed that two different spatiotemporal deformation features exist in the basin but also filtered the residual errors in InSAR observations to enhance the deformation time series. Integrating the InSAR deformation and groundwater level data, the response of the aquifer skeletal system to the change in hydraulic head was quantified, and the hydromechanical properties of the aquifer system were characterized. Historical spatiotemporal storage loss from 1990 to 2020 was also estimated using InSAR measurements, hydraulic head and estimated skeletal storativity. Understanding the characteristics of land surface deformation and quantifying the response of aquifer systems in the Willcox Basin and other groundwater basins elsewhere are important in managing groundwater exploitation to sustain the mechanical health and integrity of aquifer systems.
AB - Long-term excessive groundwater exploitation for agricultural, domestic and stock applications has resulted in substantial ground subsidence in Arizona, USA, and especially in the Willcox Groundwater Basin. The land subsidence rate of the Willcox Basin has not declined but has rather increased in recent years, posing a threat to infrastructure, aquifer systems, and ecological environments. In this study, we first investigate the spatiotemporal characteristics of land subsidence in the Willcox Groundwater Basin using an interferometric synthetic aperture radar (InSAR) time series analytical approach with L-band ALOS and C-band Sentinel-1 SAR data acquired from 2006 to 2020. The overall deformation patterns are characterized by two major zones of subsidence, with the mean subsidence rate increasing with time from 2006 to 2020. An approach based on independent component analysis (ICA) was adopted to separate the mixed InSAR time series signal into a set of independent signals. The application of ICA to the Willcox Basin not only revealed that two different spatiotemporal deformation features exist in the basin but also filtered the residual errors in InSAR observations to enhance the deformation time series. Integrating the InSAR deformation and groundwater level data, the response of the aquifer skeletal system to the change in hydraulic head was quantified, and the hydromechanical properties of the aquifer system were characterized. Historical spatiotemporal storage loss from 1990 to 2020 was also estimated using InSAR measurements, hydraulic head and estimated skeletal storativity. Understanding the characteristics of land surface deformation and quantifying the response of aquifer systems in the Willcox Basin and other groundwater basins elsewhere are important in managing groundwater exploitation to sustain the mechanical health and integrity of aquifer systems.
KW - Aquifer system
KW - Hydraulic head
KW - Independent component analysis
KW - InSAR
KW - Willcox Basin
UR - http://www.scopus.com/inward/record.url?scp=85122627910&partnerID=8YFLogxK
U2 - 10.1016/j.rse.2022.112894
DO - 10.1016/j.rse.2022.112894
M3 - Article
AN - SCOPUS:85122627910
VL - 271
JO - Remote sensing of environment
JF - Remote sensing of environment
SN - 0034-4257
M1 - 112894
ER -