Deep Structure of the Indochina Peninsula–South China Sea Transition Zone According to Geophysical Data

Proshkina, Z. N.; Валитов, М. Г.; Kolpashchikova, T. N.; Lee, N. S.; Tsovbun, N. M.

doi:10.1134/s0001437021060126

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…2. notch analysis in the area, infer and explain the deep hidden or difficult to identify fault structures on the surface [54][55][56] . Under the regional background of the study area, the fault structures show the characteristics of NE-trending distribution.…”

Section: Principal Component Analysismentioning

confidence: 99%

GIS model for geothermal advantageous target selection

Huang

Chen

et al. 2023

Sci Rep

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As the particularly popular green energy, geothermal resources are gradually favored by countries around the world, and the development model centered on geothermal dew point cannot meet the increasing geothermal demand. In this paper, a GIS model combining PCA and AHP is proposed, aiming to select the advantages of geothermal resources at the regional scale and analyze the main influencing indicators. Through the combination of the two methods, both data and empirical can be considered, then the geothermal advantage distribution on the area can be displayed through GIS software images. A multi-index evaluation system is established to qualitatively and quantitatively evaluate the mid-high temperature geothermal resources in Jiangxi Province, and carry out the evaluation of the dominant target areas and the analysis of geothermal impact indicators. The results show that it is divided into 7 geothermal resource potential areas and 38 geothermal advantage targets, and the determination of deep fault is the most critical index of geothermal distribution. This method is suitable for large-scale geothermal research, multi-index and multi-data model analysis and precise positioning of high-quality geothermal resource targets, which can meet the needs of geothermal research at the regional scale.

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Section: Principal Component Analysismentioning

confidence: 99%

GIS model for geothermal advantageous target selection

Huang

Chen

et al. 2023

Sci Rep

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“…5. Deep fault, Curie feature, deep structures: Use the remaining Bouguer gravity anomaly data to carry out notch analysis in the area, infer and explain the deep hidden or difficult to identify fault structures on the surface (Proshkina et al, 2021;Qiu et al, 2022;Zhang et al, 2022). Under the regional background of the study area, the fault structures show the characteristics of NE-trending distribution.…”

Section: Indicator Selectionmentioning

confidence: 99%

Target selection for mid-high temperature geothermal exploration based on AHP and PCA: A case study of Jiangxi Province, China

Huang

Chen

et al. 2022

Preprint

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Jiangxi Province is located in the tropical zone of mid-high temperature geothermal resources along the southeastern coast of China. Geothermal geological surveys, the exposed natural hot springs, the explored geothermal walls and the reported geothermal research results related to the potential of geothermal energy indicate the abundant geothermal resources and the high formation potential of mid-high temperature geothermal resources in Jiangxi Province. However, the research level of geothermal resources in this area is relatively low, the distribution of geothermal hotspots is uneven, and the specific resource distribution, geothermal temperature, and resource quantity are not well understood, so it is difficult to systematically carry out the mid-high geothermal development in this province. Therefore, we collect the data of the study area, established a multi-index evaluation model combining experience and data, and carried out the evaluation of geothermal resources advantageous target areas and the analysis of geothermal impact indicators. The main purpose of this study is to use analytic hierarchy process (AHP) and principal component analysis (PCA) to qualitatively and quantitatively evaluate the mid-high temperature geothermal resources of the Jiangxi Province, and also to propose a dual-method comparative evaluation model for the study of the mid-high geothermal target area. Based on the quantitative data from geological, hydrological and geophysical sources and the extensive experience of regional workers and geologists, by using the AHP and PCA, we divide the study area into 7 geothermal resource potential zones and 38 geothermal optimal target areas. It is determined that deep large faults are the most critical indicators affecting the distribution of geothermal resources in the study area, followed by the heat storage value of the silicon enthalpy equation and the magmatic rocks. This study is of great significance for geothermal research in similar areas, multi-index and multi-data model analysis, and accurate positioning of high-quality geothermal resource target areas. It also has important guiding significance for the follow-up development planning of geothermal resources the research area or further research on the geothermal target area.

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Deep Structure of the Indochina Peninsula–South China Sea Transition Zone According to Geophysical Data

Cited by 2 publications

References 12 publications

GIS model for geothermal advantageous target selection

GIS model for geothermal advantageous target selection

Target selection for mid-high temperature geothermal exploration based on AHP and PCA: A case study of Jiangxi Province, China

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