A Recognition and Geological Model of a Deep-Seated Ancient Landslide at a Reservoir under Construction
Abstract
:1. Introduction
2. Geological Context Background and Geomorphological Analysis of the Slope
3. Recognition of the Ancient Landslide
4. Boundary of the Ancient Landslide
5. Discussion of the Geological Model of the Landslide
6. Preliminary Stability Analyses on the Landslide
- (1)
- From Figure 11, it can be seen that the existing sliding zone was buried under the first river terrace, which resists shear forces that occur along the existing fracture zone at the toe of the landslide. Meanwhile, the stability of the river terrace indicates that the landslide has not undergone a major reaction since the terrace formed.
- (2)
- The ancient Tibetan star-shaped towers located on the landslide have a history of at least 800 years according to references and written records [28,29]. Most of the existing ancient Tibetan star-shaped towers are in good condition, which indicates that the landslide has not experienced complete reactivation since the ancient Tibetan star-shaped towers were constructed, even though there have been almost 80 earthquakes that have occurred during this period with magnitude scales above Ms 5.0, according to Chinese historical earthquake records [35] and annual rainstorms during the rainy season. This also implies that the landslide has not undergone a major reaction even under scenarios of rainstorms or earthquakes since the ancient Tibetan star-shaped towers were built on it.
- (1)
- Connection graph generation. The space, time and Doppler baselines of all possible image pairs were estimated. According to the principle of small baseline, a super master image and the retained pairs were decided. The temporal and perpendicular baseline was plotted as the connection graph.
- (2)
- Generation of differential interferograms. The other SAR images were co-registered to the super master image and interferometry was performed on the image pairs. Based on the satellite state vectors and DEM, we subtracted the parts of the interferometric phase due to viewing geometry and topography. After adapted filtering, the differential phases were simplified by the Minimum Cost Flow (MCF) algorithm.
- (3)
- Refinement of space baselines. Based on the selection of ground control points, the space baselines of all the pairs were refined and the differential interferograms were re-produced and re-unwrapped.
- (4)
- Selection of coherent pixels. According to the coherence maps of all interferometric pairs, the pixels with high coherence in the time series datasets were chosen as coherent pixels, whose phase information would be analyzed later on.
- (5)
- First inversion. Applying the linear movement model and singular value decomposition (SVD) algorithm, the deformation velocity and height error of coherent pixels were calculated. At the same time, the atmospheric phase screen (APS) of every pair was generated.
- (6)
- Second inversion. After the subtraction of APS and the residual phase corresponding to height error, the retained differential phases of coherent pixels were calculated again. Finally, the deformation history and the ensemble coherence in the time series datasets of all coherent pixels were produced. The FBD images are interpolated in order to get the same pixel size with FBS images. After this, all the images are co-registered to the super master image. While selecting the small baseline interferograms, the threshold for normal baseline was set to 8 percent of the critical baseline and the threshold for time baseline to 1200 days. At last, 54 interferometric pairs were processed for SBAS analysis.
7. Conclusions
- (1)
- The slope investigated is covered by loose deposit, which has a thickness of 70–90 m. These thick loose deposits on the slope were formed by an ancient deep-seated landslide, which began along a weak layer of micaceous schist in the bedrock. The landslide probably occurred during the late era of the Pleistocene period about 10,000–30,000 years ago as a result of deep incision of the Dadu River.
- (2)
- The results from geological and geomorphological analysis incorporated with InSAR technology indicated that the slope is deformable, although it has not shown a major reaction since the ancient Tibetan star-shaped tower were built. The reaction of the landslide is related to the seasonal rainstorm.
- (3)
- Some ancient star-shaped towers are tilted due to local uneven deformation of the landslide. To protect these valuable and unique cultural heritages, increased attention should be paid to prevent uneven deformation and the partial disaggregation of the landslide.
- (4)
- The toe of the landslide has a significant effect in preventing the major reaction of the landslide. Thus, it is important to protect the toe area from erosion due to unreasonable regulation and controlling, i.e., quick drawdown. Some bank protection measures, such as rock armor, should be adopted in this area. Some long-term monitor measures, such as benchmarks, borehole inclinometers, piezometers and rain gauges, should be installed to provide a deep understanding of the state of this important slope. Meanwhile, a further comprehensive stability study should be carried out after detailed analysis on the strength and permeability of the slope material, especially in the rupture zone.
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Dip (°) | Dip Direction (°) | Spacing | |
---|---|---|---|
Bedding plane | 25–40 | 270–280 | <200 mm |
Joint Set 1 | 50–60 | 140–150 | 200–600 mm |
Joint Set 2 | 75–90 | 210–220 | 500–1000 mm |
Joint Set 3 | 70–90 | 100–115 | 100–300 mm |
Joint Set 4 | 45–60 | 200–210 | >600 mm |
No. | Acquired Time | Normal Baseline (m) | Time Baseline (d) | Image Mode |
---|---|---|---|---|
1 | 20061223 | 20131034.51 | −1012 | FBS |
2 | 20070207 | −128.10 | −966 | FBS |
3 | 20070810 | 539.47 | −782 | FBD |
4 | 20070925 | 570.64 | −736 | FBD |
5 | 20080210 | 1814.88 | −598 | FBS |
6 | 20080327 | 1855.50 | −552 | FBS |
7 | 20080512 | 2333.52 | −506 | FBD |
8 | 20080627 | −87.80 | −460 | FBD |
9 | 20081112 | −1476.38 | −322 | FBS |
10 | 20081228 | −1461.09 | −276 | FBS |
11 | 20090212 | −802.85 | −230 | FBS |
12 | 20090630 | −350.02 | −92 | FBD |
13 | 20090815 | −422.68 | −46 | FBD |
14 | 20090930 | 0 | 0 | FBD |
15 | 20091231 | 553.48 | 92 | FBS |
16 | 20100215 | 965.81 | 138 | FBS |
17 | 20100703 | 1553.38 | 276 | FBD |
18 | 20100818 | 1634.35 | 322 | FBD |
19 | 20101003 | 1866.55 | 368 | FBD |
20 | 20110103 | 2144.52 | 460 | FBS |
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Qi, S.; Zou, Y.; Wu, F.; Yan, C.; Fan, J.; Zang, M.; Zhang, S.; Wang, R. A Recognition and Geological Model of a Deep-Seated Ancient Landslide at a Reservoir under Construction. Remote Sens. 2017, 9, 383. https://doi.org/10.3390/rs9040383
Qi S, Zou Y, Wu F, Yan C, Fan J, Zang M, Zhang S, Wang R. A Recognition and Geological Model of a Deep-Seated Ancient Landslide at a Reservoir under Construction. Remote Sensing. 2017; 9(4):383. https://doi.org/10.3390/rs9040383
Chicago/Turabian StyleQi, Shengwen, Yu Zou, Faquan Wu, Changgen Yan, Jinghui Fan, Mingdong Zang, Shishu Zhang, and Ruyi Wang. 2017. "A Recognition and Geological Model of a Deep-Seated Ancient Landslide at a Reservoir under Construction" Remote Sensing 9, no. 4: 383. https://doi.org/10.3390/rs9040383