Flood occurrence and impact models for socioeconomic  applications over Canada and the United States

Grenier, Manuel; Boudreault, Mathieu; Carozza, David A.; Boudreault, Jérémie; Raymond, Sébastien

doi:10.5194/nhess-24-2577-2024

Articles | Volume 24, issue 7

https://doi.org/10.5194/nhess-24-2577-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-24-2577-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 7

Research article

|

26 Jul 2024

Research article |

| 26 Jul 2024

Flood occurrence and impact models for socioeconomic applications over Canada and the United States

Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 3,293 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
2,898	301	94	3,293	92	117

HTML: 2,898
PDF: 301
XML: 94
Total: 3,293
BibTeX: 92
EndNote: 117

Views and downloads (calculated since 11 Jan 2024)

Month	HTML	PDF	XML	Total
Jan 2024	51	1	52
Feb 2024	26	0	26
Mar 2024	43	0	43
Apr 2024	15	0	15
May 2024	12	0	12
Jun 2024	41	0	41
Jul 2024	170	12	15	197
Aug 2024	157	36	10	203
Sep 2024	81	10	8	99
Oct 2024	140	7	7	154
Nov 2024	98	4	2	104
Dec 2024	68	9	0	77
Jan 2025	59	7	3	69
Feb 2025	29	9	1	39
Mar 2025	41	4	0	45
Apr 2025	44	7	0	51
May 2025	52	8	3	63
Jun 2025	61	27	3	91
Jul 2025	45	19	2	66
Aug 2025	118	11	1	130
Sep 2025	486	6	0	492
Oct 2025	45	10	1	56
Nov 2025	52	20	5	77
Dec 2025	140	23	8	171
Jan 2026	162	14	8	184
Feb 2026	333	12	4	349
Mar 2026	83	8	4	95
Apr 2026	71	30	2	103
May 2026	170	6	4	180
Jun 2026	5	2	2	9

Cumulative views and downloads (calculated since 11 Jan 2024)

Month	HTML	PDF	XML	Total
Jan 2024	51	1	52
Feb 2024	26	0	26
Mar 2024	43	0	43
Apr 2024	15	0	15
May 2024	12	0	12
Jun 2024	41	0	41
Jul 2024	170	12	15	197
Aug 2024	157	36	10	203
Sep 2024	81	10	8	99
Oct 2024	140	7	7	154
Nov 2024	98	4	2	104
Dec 2024	68	9	0	77
Jan 2025	59	7	3	69
Feb 2025	29	9	1	39
Mar 2025	41	4	0	45
Apr 2025	44	7	0	51
May 2025	52	8	3	63
Jun 2025	61	27	3	91
Jul 2025	45	19	2	66
Aug 2025	118	11	1	130
Sep 2025	486	6	0	492
Oct 2025	45	10	1	56
Nov 2025	52	20	5	77
Dec 2025	140	23	8	171
Jan 2026	162	14	8	184
Feb 2026	333	12	4	349
Mar 2026	83	8	4	95
Apr 2026	71	30	2	103
May 2026	170	6	4	180
Jun 2026	5	2	2	9

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 3,293 (including HTML, PDF, and XML) Thereof 3,224 with geography defined and 69 with unknown origin.

Country	#	Views	%

1

1

Cited

Saved (final revised paper)

Latest update: 07 Jun 2026

Short summary

Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.