کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5475433 | 1521411 | 2017 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
GIS-supported certainty factor (CF) models for assessment of geothermal potential: A case study of Tengchong County, southwest China
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: GIS-supported certainty factor (CF) models for assessment of geothermal potential: A case study of Tengchong County, southwest China GIS-supported certainty factor (CF) models for assessment of geothermal potential: A case study of Tengchong County, southwest China](/preview/png/5475433.png)
چکیده انگلیسی
Promising geothermal areas were identified according to the relationship between geothermal emergencies and the affected surroundings in Tengchong County, China. It is expected that the study will guide further preliminary investigations performed over large areas with limited information. Publicly available datasets that were used in this analysis included earthquake epicenters, distribution of faults, Bouguer gravity anomalies, magnetic anomalies and Landsat7 ETMÂ +Â images were used to generate five impact factor maps; b-value, distance to faults, distance to major grabens, magnetic anomaly, and land surface temperature, respectively. Predictor maps were produced separately from the impact factor maps using modified certainty factor, index overlay of certainty factor, and weight of certainty factor methods. The findings revealed that the modified certainty factor method showed a more accurate prediction, and the index overlay of certainty factor method can be applied in a simple and straightforward manner, and the weight of certainty factor has the advantage of objective and realistic applications. Based on the suitability maps, potential geothermal regions were discovered in Nujiang basin where have not been explored and exploited.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 140, Part 1, 1 December 2017, Pages 552-565
Journal: Energy - Volume 140, Part 1, 1 December 2017, Pages 552-565
نویسندگان
Jianming Li, Yanjun Zhang,