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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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. |
format | Online Article Text |
id | pubmed-10102116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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