Distorting effect of the atmosphere in satellite monitoring of small-sized high-temperature anomalies

2002 ◽  
Author(s):  
Vladimir V. Belov ◽  
Sergei V. Afonin
Keyword(s):  
High Temperature ◽  
Satellite Monitoring ◽  
Temperature Anomalies

scholarly journals Crustal Fault Zones (CFZ) as Geothermal Power Systems: A Preliminary 3D THM Model Constrained by a Multidisciplinary Approach

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-24
Author(s):  
Hugo Duwiquet ◽  
Laurent Guillou-Frottier ◽  
Laurent Arbaret ◽  
Mathieu Bellanger ◽  
Théophile Guillon ◽  
...  
Keyword(s):  
High Temperature ◽  
Numerical Model ◽  
Power Systems ◽  
Fault Zone ◽  
Field Data ◽  
Large Scale ◽  
Numerical Models ◽  
Massif Central ◽  
Temperature Anomalies ◽  
Stress Direction

The Pontgibaud crustal fault zone (CFZ) in the French Massif Central provides an opportunity to evaluate the high-temperature geothermal potential of these naturally permeable zones. Previous 2D modeling of heat and mass transfer in a fault zone highlighted that a subvertical CFZ concentrates the highest temperature anomalies at shallow depths. By comparing the results of these large-scale 2D numerical models with field data, the depth of the 150°C isotherm was estimated to be at a depth of 2.5 km. However, these results did not consider 3D effects and interactions between fluids, deformation, and temperature. Here, field measurements are used to control the 3D geometry of the geological structures. New 2D (thin-section) and 3D (X-ray microtomography) observations point to a well-defined spatial propagation of fractures and voids, exhibiting the same fracture architecture at different scales (2.5 μm to 2 mm). Moreover, new measurements on porosity and permeability confirm that the highly fractured and altered samples are characterized by large permeability values, one of them reaching 10-12 m2. Based on a thermoporoelastic hypothesis, a preliminary 3D THM numerical model is presented. A first parametric study highlights the role of permeability, stress direction, and intensity on fluid flow. In particular, three different convective patterns have been identified (finger-like, blob-like, and double-like convective patterns). The results suggest that vertical deformation zones oriented at 30 and 70° with respect to the maximum horizontal stress direction would correspond to the potential target for high-temperature anomalies. Finally, a large-scale 3D numerical model of the Pontgibaud CFZ, based on THM coupling and the comparison with field data (temperature, heat flux, and electrical resistivity), allows us to explore the spatial geometry of the 150°C isotherm. Although simplified hypotheses have been used, 3D field data have been reproduced.

High temperature anomalies oceanward of subducting slabs at the 410-km discontinuity

2006 ◽  
Vol 243 (1-2) ◽  
pp. 149-158 ◽  
Author(s):  
M OBAYASHI ◽  
H SUGIOKA ◽  
J YOSHIMITSU ◽  
Y FUKAO
Keyword(s):  
High Temperature ◽  
Temperature Anomalies

Detecting high-temperature anomalies from Sentinel-2 MSI images

2021 ◽  
Vol 177 ◽  
pp. 174-193
Author(s):  
Yongxue Liu ◽  
Weifeng Zhi ◽  
Bihua Xu ◽  
Wenxuan Xu ◽  
Wei Wu
Keyword(s):  
High Temperature ◽  
Temperature Anomalies ◽  
Sentinel 2

scholarly journals Weighted Information Models for the Quantitative Prediction and Evaluation of the Geothermal Anomaly Area in the Plateau: A Case Study of the Sichuan–Tibet Railway

2021 ◽  
Vol 13 (9) ◽  
pp. 1606
Author(s):  
Wenbo Zhao ◽  
Qing Dong ◽  
Zhe Chen ◽  
Tao Feng ◽  
Dong Wang ◽  
...  
Keyword(s):  
High Temperature ◽  
Information Model ◽  
Quantitative Prediction ◽  
Impact Factors ◽  
Temperature Anomalies ◽  
Information Models ◽  
Entropy Information ◽  
Geological Formation ◽  
High Prediction ◽  
Map Data

The prediction of geothermal high-temperature anomalies along the plateau railway will be helpful in the construction of the project and its later management. Taking the Sichuan–Tibet railway as the study area and based on Landsat8 thermal infrared images, map data, and measured data regarding the cause and distribution of geothermal high-temperature anomalies, through correlation analysis, we selected six impact factors including the LST, combined entropy of geological formation, fault density, buffer distance to rivers, magnetic anomaly, and earthquake peak acceleration as the input maps of the model. The index-overlay information model, the weights of the entropy information model, and the weights of the evidence information model were established to quantitatively predict the geothermal anomaly in the study area, and the prediction maps were divided into four classes. The results show that the weights of the evidence information model achieved a high prediction accuracy; the success index and the ratio of the high anomaly area reached 0.0053% and 0.872, respectively, and the spatial distribution of the geothermal points is basically consistent with the prediction results. This research can act as a reference for the design and construction of the Sichuan–Tibet railway.

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