Spatial analysis of factors influencing land subsidence using the OLS Model (Case Study: Fahlian Aquifer)
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-021-00688-1.pdf
Reference24 articles.
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3. Cao J, Ma F, Guo J, Lu R, Liu G (2019) Assessment of mining-related seabed subsidence using GIS spatial regression methods: a case study of the Sanshandao gold mine (Laizhou, Shandong Province, China). Environ Earth Sci 78(26). https://doi.org/10.1007/s12665-018-8022-1
4. Erfanian M, Hossein Khah M, Alijanpoor A (2013) Introduction to multivariate OLS and GWR regression methods in spatial modeling of land use effects on water quality. J Watershed Manag Promot Dev 1(1). https://doi.org/10.22059/JES.2016.58738
5. Faunt C, Sneed M, Traum J, Brandt R (2015) Water availability and land subsidance in the Central Valley. California USA Hydrogeol J Spring 15(3):452–470. https://doi.org/10.1007/s10040-015-1339-x
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