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GIS model for geothermal advantageous target selection

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...

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Autores principales: Li, Xuan, Huang, Changsheng, Chen, Wei, Li, Yanan, Han, Jihong, Wang, Xianguang, Bai, Ximin, Yin, Zhibin, Li, Xiaozhe, Hou, Pingping, Tong, Jue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102116/
https://www.ncbi.nlm.nih.gov/pubmed/37055451
http://dx.doi.org/10.1038/s41598-023-32785-0
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author Li, Xuan
Huang, Changsheng
Chen, Wei
Li, Yanan
Han, Jihong
Wang, Xianguang
Bai, Ximin
Yin, Zhibin
Li, Xiaozhe
Hou, Pingping
Tong, Jue
author_facet Li, Xuan
Huang, Changsheng
Chen, Wei
Li, Yanan
Han, Jihong
Wang, Xianguang
Bai, Ximin
Yin, Zhibin
Li, Xiaozhe
Hou, Pingping
Tong, Jue
author_sort Li, Xuan
collection PubMed
description 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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spelling pubmed-101021162023-04-15 GIS model for geothermal advantageous target selection Li, Xuan Huang, Changsheng Chen, Wei Li, Yanan Han, Jihong Wang, Xianguang Bai, Ximin Yin, Zhibin Li, Xiaozhe Hou, Pingping Tong, Jue Sci Rep Article 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. Nature Publishing Group UK 2023-04-13 /pmc/articles/PMC10102116/ /pubmed/37055451 http://dx.doi.org/10.1038/s41598-023-32785-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Li, Xuan
Huang, Changsheng
Chen, Wei
Li, Yanan
Han, Jihong
Wang, Xianguang
Bai, Ximin
Yin, Zhibin
Li, Xiaozhe
Hou, Pingping
Tong, Jue
GIS model for geothermal advantageous target selection
title GIS model for geothermal advantageous target selection
title_full GIS model for geothermal advantageous target selection
title_fullStr GIS model for geothermal advantageous target selection
title_full_unstemmed GIS model for geothermal advantageous target selection
title_short GIS model for geothermal advantageous target selection
title_sort gis model for geothermal advantageous target selection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102116/
https://www.ncbi.nlm.nih.gov/pubmed/37055451
http://dx.doi.org/10.1038/s41598-023-32785-0
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