A fusion model used in subsidence prediction in Taiwan

Wang, S.-J.; Hsu, K.-C.; Lee, C.-H.

doi:10.5194/piahs-372-463-2015

Articles | Volume 372

https://doi.org/10.5194/piahs-372-463-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/piahs-372-463-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 372

12 Nov 2015

| 12 Nov 2015

A fusion model used in subsidence prediction in Taiwan

S.-J. Wang, K.-C. Hsu, and C.-H. Lee

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Views and downloads (calculated since 12 Nov 2015)

Month	HTML	PDF	XML	Total
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Dec 2015	2	9	0	11
Jan 2016	3	7	0	10
Feb 2016	0
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Apr 2025	2	4	0	6
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Jul 2025	12	14	0	26
Aug 2025	28	9	1	38
Sep 2025	91	10	2	103
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Nov 2025	30	11	3	44
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Cumulative views and downloads (calculated since 12 Nov 2015)

Month	HTML	PDF	XML	Total
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Dec 2015	2	9	0	11
Jan 2016	3	7	0	10
Feb 2016	0
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Apr 2024	7	1	1	9
May 2024	3	4	2	9
Jun 2024	14	1	1	16
Jul 2024	16	3	2	21
Aug 2024	40	3	4	47
Sep 2024	12	4	5	21
Oct 2024	3	3	1	7
Nov 2024	8	2	0	10
Dec 2024	2	3	3	8
Jan 2025	3	1	1	5
Feb 2025	7	5	4	16
Mar 2025	11	6	1	18
Apr 2025	2	4	0	6
May 2025	8	4	2	14
Jun 2025	22	11	0	33
Jul 2025	12	14	0	26
Aug 2025	28	9	1	38
Sep 2025	91	10	2	103
Oct 2025	16	17	1	34
Nov 2025	30	11	3	44
Dec 2025	2	0	2

Latest update: 06 Dec 2025

Short summary

A fusion technique is developed to combine the subsidence predicted results from poroelastic and grey models to obtain a spatially and temporally connected two-dimensional subsidence distribution. The fusion model is successfully applied to subsidence predictions in Changhua, Yunlin, Tainan, and Kaohsiung of Taiwan and obtains good results. A good subsidence model can help the government to make the accurate strategies for land and groundwater resource management.