TY - JOUR
T1 - Impact of water level fluctuations on landslide deformation at Longyangxia Reservoir, Qinghai Province, China
AU - Zhao, Shufen
AU - Zeng, Runqiang
AU - Zhang, Hongxue
AU - Meng, Xingmin
AU - Zhang, Zonglin
AU - Meng, Xiangpei
AU - Wang, Hong
AU - Zhang, Yi
AU - Liu, Jun
N1 - Funding Information:
Funding: This research is supported by the National Key R&D Program of China (Grant No. 2018YFC1504704); the Second Tibetan Plateau Scientific Expedition and Research Program (STEP) (Grant No. 2021QZKK0204); and the Construction Project of Gansu Technological Innovation Center (Grant No. 18JR2JA006); the National Natural Science Foundation of China (Grant No. 42007232) and the Fundamental Research Funds for the Central Universities (Grant No. lzujbky-2021-sp01).
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - The construction of Longyangxia Reservoir has altered the hydrogeological conditions of its banks. Infiltration and erosion caused by the periodic rise and fall of the water level leads to collapse of the reservoir banks and local deformation of the landslide. Due to heterogeneous topographic characteristics across the region, water level also varies between different location. Previous research on the influence of fluctuations in reservoir water level on landslide deformation has focused on single-point monitoring of specific slopes, and single-point water level monitoring data have often been used instead of water level data for the entire reservoir region. In addition, integrated remote sensing methods have seldom been used for regional analysis. In this study, the freely-available Landsat8 OLI and Sentinel-2 data were used to extract the water level of Longyangxia Reservoir using the NDWI method, and Sentinel-1A data were used to obtain landslide deformation time series using SBAS-InSAR technology. Taking the Chana, Chaxi, and Mangla River Estuary landslides (each having different reservoir water level depths) as typical examples, the influence of changes in reservoir water level on the deformation of three wading landslides was analyzed. Our main conclusions are as follows: First, the change in water level is the primary external factor controlling the deformation velocity and trend of landslides in the Longyangxia Reservoir, with falling water levels having the greatest influence. Second, the displacement of the Longyangxia Reservoir landslides lags water level changes by 0 to 62 days. Finally, this study provides a new method applicable other areas without water level monitoring data.
AB - The construction of Longyangxia Reservoir has altered the hydrogeological conditions of its banks. Infiltration and erosion caused by the periodic rise and fall of the water level leads to collapse of the reservoir banks and local deformation of the landslide. Due to heterogeneous topographic characteristics across the region, water level also varies between different location. Previous research on the influence of fluctuations in reservoir water level on landslide deformation has focused on single-point monitoring of specific slopes, and single-point water level monitoring data have often been used instead of water level data for the entire reservoir region. In addition, integrated remote sensing methods have seldom been used for regional analysis. In this study, the freely-available Landsat8 OLI and Sentinel-2 data were used to extract the water level of Longyangxia Reservoir using the NDWI method, and Sentinel-1A data were used to obtain landslide deformation time series using SBAS-InSAR technology. Taking the Chana, Chaxi, and Mangla River Estuary landslides (each having different reservoir water level depths) as typical examples, the influence of changes in reservoir water level on the deformation of three wading landslides was analyzed. Our main conclusions are as follows: First, the change in water level is the primary external factor controlling the deformation velocity and trend of landslides in the Longyangxia Reservoir, with falling water levels having the greatest influence. Second, the displacement of the Longyangxia Reservoir landslides lags water level changes by 0 to 62 days. Finally, this study provides a new method applicable other areas without water level monitoring data.
KW - Early identification
KW - Landslide displacement
KW - Reservoir bank landslide
KW - SBAS-InSAR
KW - Water level extraction
UR - http://www.scopus.com/inward/record.url?scp=85122239878&partnerID=8YFLogxK
U2 - 10.3390/rs14010212
DO - 10.3390/rs14010212
M3 - Article
AN - SCOPUS:85122239878
SN - 2072-4292
VL - 14
JO - Remote Sensing
JF - Remote Sensing
IS - 1
M1 - 212
ER -