Academic Journal
Quantitative prediction and evaluation of geothermal resource areas in the southwest section of the Mid-Spine Belt of Beautiful China
| Title: | Quantitative prediction and evaluation of geothermal resource areas in the southwest section of the Mid-Spine Belt of Beautiful China |
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| Authors: | Zhe Chen, Ruichun Chang, Wenbo Zhao, Sijia Li, Huadong Guo, Keyan Xiao, Lin Wu, Dong Hou, Lu Zou |
| Source: | International Journal of Digital Earth, Vol 15, Iss 1, Pp 748-769 (2022) |
| Publisher Information: | Taylor & Francis Group, 2022. |
| Publication Year: | 2022 |
| Collection: | LCC:Mathematical geography. Cartography |
| Subject Terms: | mid-spine belt of beautiful china, certainty factor, geothermal resource area, weights of evidence, Mathematical geography. Cartography, GA1-1776 |
| More Details: | The geothermal resources in the southwest section of the Mid-Spine Belt of Beautiful China are abundant, but the quantitative prediction and evaluation of geothermal resources are very difficult. Based on geographic information system (GIS) and remote sensing (RS) platforms, six impact factors, namely land surface temperature, fault density, Gutenberg–Liszt B value, formation combination entropy, distance to river and aeromagnetic anomaly were selected. Through the establishment of the certainty factor model (CF), weights of the information entropy certainty factor model (ICF) and weights of the evidence certainty factor model (ECF), the geothermal potential in the study area were predicted quantitatively. Based on the ECF results, the six main geothermal resource areas were delineated. The results show that (1) ECF had high prediction accuracy (success index is 0.00405%, area ratio is 0.867); (2) The geothermal resource areas obtained were Ganzi–Ya’an–Liangshan, Panzhihua–Liangshan, Dali–Chuxiong, Nujiang–Baoshan, Diqing–Dali, and Lijiang–Diqing. The results provide a basis for the effective development and utilization of geothermal resources in the southwest section of the mid-ridge belt. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1753-8947 1753-8955 17538947 |
| Relation: | https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955 |
| DOI: | 10.1080/17538947.2022.2061055 |
| Access URL: | https://doaj.org/article/dfed28d1b18b4235b00eb5544cbd05c9 |
| Accession Number: | edsdoj.fed28d1b18b4235b00eb5544cbd05c9 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 17538947 17538955 |
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| DOI: | 10.1080/17538947.2022.2061055 |
| Published in: | International Journal of Digital Earth |
| Language: | English |