Spatial analysis of the rate of displacement of salt domes and its relationship with groundwater drops Case study of southeastern Fars
| Autor: | mohamadali zanganehasadi, Rahman Zandi, Najmeh shafiei |
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| Jazyk: | perština |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | نشریه جغرافیا و برنامهریزی, Vol 27, Iss 85, Pp 101-108 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2008-8078 2717-3534 |
| DOI: | 10.22034/gp.2022.51350.2996 |
| Popis: | Salt domes are one of the unique geomorphological phenomena that are important in terms of economic development, environment and tourism.. It plays a significant role in earthquakes and land subsidence as an effective aggravating factor in tectonic activity. In this study, after identification and morphometry of salt domes in the southeast Fars region using eight tectonic indices, i.e., the activity status of the domes was evaluated. Then using differential radar interferometry, the amount of vertical displacement of the area was calculated. Finally, Geographically Weighted Regression was employed to determine the relationship between subsidence and collapse at salt domes. The results indicate that in addition to the movement of salt domes, tectonic subsidence factors have also been effective in the rate of vertical displacement in the region. The calculation of indices indicates that some salt domes are active, and the results of differential radar interferometry also indicate the region’s vertical displacement and tectonic activity. However, some salt domes, including salt dome S2 in the western part of Fasa township, with a high score in calculating the indices, were also in the range of uplift due to interferometry. Although other salt domes had a degree of uplift due to their unique characteristics, groundwater loss had caused the highest subsidence rate in salt domes S10, S4, S5, and S6. Therefore, besides the unique characteristics of salt domes, other factors such as subsidence due to groundwater overdraft which are about 70 meters, Comparing the two models, it shows that the GWR model with a coefficient of R2 of about 80% -99% and the lowest error of / 001. And OLS model with R2 coefficient shows about 0.23 and an error 0.07 and GWR model with higher accuracy confirmed the agreement between the two parameters |
| Databáze: | Directory of Open Access Journals |
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