Dissolution feature differences of carbonate rock within hydro-fluctuation belt located in the Three Gorges Reservoir Area

被引:57
作者
Chen, Chiwei [1 ,2 ]
Yang, Haiqing [1 ,2 ]
Song, Kanglei [1 ,2 ]
Liang, Dan [1 ,3 ]
Zhang, Yuhan [4 ,5 ]
Ni, Jianghua [1 ,2 ]
机构
[1] Chongqing Univ, Sch Civil Engn, State Key Lab Coal Mine Disaster Dynam & Control, Chongqing 400045, Peoples R China
[2] Natl Joint Engn Res Ctr Geohazards Prevent Reservo, Chongqing 400045, Peoples R China
[3] Minist Nat Resources, Chongqing Inst Geol & Mineral Resources, Technol Innovat Ctr Geohazards Automatic Monitorin, Chongqing Engn Res Ctr Automatic Monitoring Geol H, Chongqing 401120, Peoples R China
[4] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
[5] Beijing Inst Technol, Chongqing Innovat Ctr, Chongqing 401151, Peoples R China
关键词
Hydro-fluctuation belt; Hyperspectral imaging technique; Dissolution features; Carbonate rock deterioration; Intelligent algorithm; Three Gorges Reservoir Area; WATER-LEVEL FLUCTUATION; FRACTAL DIMENSION; RANDOM FOREST; LIMESTONE; SANDSTONES; BEHAVIOR; KARST; ZONE;
D O I
10.1016/j.enggeo.2023.107362
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The stability of geological environment in the Three Gorges Reservoir Area (TGRA) has experienced severe challenges due to the 30 m hydro-fluctuation belt (HFB). The vertical dissolution features vary with the mechanism of water and rock interaction. Although dissolution features have been adequately explained by physical and mechanical parameters, the characterization of chemical changes in dissolution is vital but frequently neglected information. For this purpose, the hyperspectral characteristics and mineralogical composition variation of rock HFB in different areas of the Triassic Daye Formation are tested to elucidate the dissolution behaviors. Then, the deterioration degree of dissolution is quantified by a multi-objective data integration based on Random Forest Regression (RFR) model. The spatial distribution of dissolution and the seasonal deterioration characteristics are identified depending on the spectral response of carbonate. Specifically, the dissolution degree is proportional to elevation, and inverse to the bedding angle at 0-40 degrees in the investigated stratum. Combined with the hydrological characteristics of study area, the corresponding regional phenomena can be distinguished as reservoir water dominated, rainfall dominated, and coupled action. Affected by reservoir water and acid rainfall, the HFB may deteriorate most severely from January to April. In addition, the contribution of RFR model integrated spectral and geometric data to the deterioration evaluation of the HFB is discussed, which can effectively enhance the identification of rock mass boundary in a single spectral data model. Thus, these results are conducive to the rapid evaluation of regional geomorphological characteristics and the monitoring of geological disasters in the TGRA.
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页数:15
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共 85 条
[1]   The influence of carbonate textures and rock composition on durability cycles and geomechanical aspects of carbonate rocks [J].
Abdullah, Gamil M. S. ;
Aal, Ahmed Abd El ;
Radwan, Ahmed E. ;
Qadri, Talha ;
Aly, Nevin .
ACTA GEOTECHNICA, 2023, 18 (01) :105-125
[2]   Fractal characteristics of rocks fractured under tension [J].
Babadagli, T ;
Develi, K .
THEORETICAL AND APPLIED FRACTURE MECHANICS, 2003, 39 (01) :73-88
[3]   The water-level fluctuation zone of Three Gorges Reservoir A unique geomorphological unit [J].
Bao, Yuhai ;
Gao, Peng ;
He, Xiubin .
EARTH-SCIENCE REVIEWS, 2015, 150 :14-24
[4]   Deterioration of shear strength parameters of limestone joints under simulated acid rain condition [J].
Basu, Arindam ;
Ram, Bikash Kumar ;
Nanda, Nirmal Kumar ;
Nayak, Sushil Subhadeep .
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2020, 135
[5]   Fractal Analysis of Surface Roughness of Particles in Porous Media [J].
Cai Jian-Chao ;
Yu Bo-Ming ;
Zou Ming-Qing ;
Mei Mao-Fei .
CHINESE PHYSICS LETTERS, 2010, 27 (02)
[6]   Detection and characterization of slow-moving landslides in the 2017 Jiuzhaigou earthquake area by combining satellite SAR observations and airborne Lidar DSM [J].
Cai, Jiehua ;
Zhang, Lu ;
Dong, Jie ;
Dong, Xiujun ;
Li, Menghua ;
Xu, Qiang ;
Liao, Mingsheng .
ENGINEERING GEOLOGY, 2022, 305
[7]   Hyperspectral analysis (VNIR-SWIR) applied to the characterization of a dolomitization context: a case study in Rio Bonito Quarry, Brazil [J].
Camargo, Murilo Henrique Taques ;
Ferreira, Andre Davi ;
Pinto-Coelho, Cristina Valle ;
Oliveira, Saulo Pomponet ;
Guimaraes, Taina Thomassim ;
Cavallari, Marcella Luiza ;
Veronez, Mauricio Roberto ;
Alfaro, Lorena de Filippis .
CARBONATES AND EVAPORITES, 2023, 38 (01)
[8]   Integration of full-waveform LiDAR and hyperspectral data to enhance tea and areca classification [J].
Chu, Hone-Jay ;
Wang, Chi-Kuei ;
Kong, Shish-Jeng ;
Chen, Kuei-Chia .
GISCIENCE & REMOTE SENSING, 2016, 53 (04) :542-559
[9]   HIGH SPECTRAL RESOLUTION REFLECTANCE SPECTROSCOPY OF MINERALS [J].
CLARK, RN ;
KING, TVV ;
KLEJWA, M ;
SWAYZE, GA ;
VERGO, N .
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH AND PLANETS, 1990, 95 (B8) :12653-12680
[10]   Influence of Air Pollution and Humidity on Limestone Materials Degradation in Historical Buildings Located in Cities Under Tropical Coastal Climates [J].
Corvo, F. ;
Reyes, J. ;
Valdes, C. ;
Villasenor, F. ;
Cuesta, O. ;
Aguilar, D. ;
Quintana, P. .
WATER AIR AND SOIL POLLUTION, 2010, 205 (1-4) :359-375