Accurate and fast prediction of radioactive pollution  by kriging coupled with auto-associative models

Périllat, Raphaël; Girard, Sylvain; Korsakissok, Irène

doi:10.5194/gmd-18-5513-2025

Articles | Volume 18, issue 17

https://doi.org/10.5194/gmd-18-5513-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-5513-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 17

Development and technical paper

|

02 Sep 2025

Development and technical paper |

| 02 Sep 2025

Accurate and fast prediction of radioactive pollution by kriging coupled with auto-associative models

Raphaël Périllat, Sylvain Girard, and Irène Korsakissok

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XML: 139
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Views and downloads (calculated since 21 Feb 2025)

Month	HTML	PDF	XML	Total
Feb 2025	92	10	4	106
Mar 2025	162	24	4	190
Apr 2025	112	46	6	164
May 2025	64	16	8	88
Jun 2025	62	20	6	88
Jul 2025	36	8	4	48
Aug 2025	256	16	4	276
Sep 2025	1,540	43	13	1,596
Oct 2025	123	44	3	170
Nov 2025	89	65	13	167
Dec 2025	100	73	15	188
Jan 2026	163	49	23	235
Feb 2026	245	43	12	300
Mar 2026	178	68	8	254
Apr 2026	101	40	4	145
May 2026	185	41	4	230
Jun 2026	17	4	2	23
Jul 2026	27	27	6	60
Aug 2026	16	5	0	21

Cumulative views and downloads (calculated since 21 Feb 2025)

Month	HTML	PDF	XML	Total
Feb 2025	92	10	4	106
Mar 2025	162	24	4	190
Apr 2025	112	46	6	164
May 2025	64	16	8	88
Jun 2025	62	20	6	88
Jul 2025	36	8	4	48
Aug 2025	256	16	4	276
Sep 2025	1,540	43	13	1,596
Oct 2025	123	44	3	170
Nov 2025	89	65	13	167
Dec 2025	100	73	15	188
Jan 2026	163	49	23	235
Feb 2026	245	43	12	300
Mar 2026	178	68	8	254
Apr 2026	101	40	4	145
May 2026	185	41	4	230
Jun 2026	17	4	2	23
Jul 2026	27	27	6	60
Aug 2026	16	5	0	21

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Total article views: 4,349 (including HTML, PDF, and XML) Thereof 4,291 with geography defined and 58 with unknown origin.

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Short summary

We developed a method to improve decision-making during nuclear crises by predicting the spread of radiation more efficiently. Existing approaches are often too slow, especially when analyzing complex data like radiation maps. Our method combines techniques to simplify these maps and predict them quickly using statistical tools. This approach could help authorities respond faster and more accurately in emergencies, reducing risks to the population and the environment.