INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis

Dottori, Francesco; Figueiredo, Rui; Martina, Mario L. V.; Molinari, Daniela; Scorzini, Anna Rita

doi:10.5194/nhess-16-2577-2016

Articles | Volume 16, issue 12

https://doi.org/10.5194/nhess-16-2577-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-16-2577-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 12

Research article

|

02 Dec 2016

Research article |

| 02 Dec 2016

INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis

Francesco Dottori, Rui Figueiredo, Mario L. V. Martina, Daniela Molinari, and Anna Rita Scorzini

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Total article views: 6,253 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	Supplement	BibTeX	EndNote
3,804	2,262	187	6,253	742	144	160

HTML: 3,804
PDF: 2,262
XML: 187
Total: 6,253
Supplement: 742
BibTeX: 144
EndNote: 160

Views and downloads (calculated since 17 May 2016)

Month	HTML	PDF	XML	Total
May 2016	90	21	0	111
Jun 2016	33	6	2	41
Jul 2016	18	1	2	21
Aug 2016	9	5	1	15
Sep 2016	5	2	0	7
Oct 2016	18	4	1	23
Nov 2016	15	3	1	19
Dec 2016	121	36	2	159
Jan 2017	60	23	0	83
Feb 2017	18	7	0	25
Mar 2017	42	12	1	55
Apr 2017	25	10	0	35
May 2017	32	20	1	53
Jun 2017	30	15	0	45
Jul 2017	25	18	0	43
Aug 2017	18	19	2	39
Sep 2017	24	18	0	42
Oct 2017	25	9	3	37
Nov 2017	11	15	0	26
Dec 2017	16	14	3	33
Jan 2018	15	15	0	30
Feb 2018	6	9	2	17
Mar 2018	18	12	2	32
Apr 2018	15	13	1	29
May 2018	12	13	1	26
Jun 2018	28	15	1	44
Jul 2018	16	9	1	26
Aug 2018	30	17	5	52
Sep 2018	13	11	0	24
Oct 2018	18	18	0	36
Nov 2018	33	29	7	69
Dec 2018	17	11	0	28
Jan 2019	11	11	3	25
Feb 2019	8	4	0	12
Mar 2019	17	10	1	28
Apr 2019	20	10	0	30
May 2019	25	12	1	38
Jun 2019	17	21	0	38
Jul 2019	22	18	1	41
Aug 2019	15	11	1	27
Sep 2019	19	15	1	35
Oct 2019	21	14	2	37
Nov 2019	20	12	0	32
Dec 2019	16	11	0	27
Jan 2020	19	17	2	38
Feb 2020	16	13	0	29
Mar 2020	17	21	0	38
Apr 2020	27	18	1	46
May 2020	12	17	0	29
Jun 2020	25	15	1	41
Jul 2020	27	32	11	70
Aug 2020	18	23	4	45
Sep 2020	20	11	0	31
Oct 2020	25	16	2	43
Nov 2020	28	23	1	52
Dec 2020	34	25	1	60
Jan 2021	43	19	0	62
Feb 2021	25	17	1	43
Mar 2021	31	19	3	53
Apr 2021	30	22	0	52
May 2021	18	14	1	33
Jun 2021	13	14	2	29
Jul 2021	21	20	0	41
Aug 2021	16	31	1	48
Sep 2021	18	21	0	39
Oct 2021	28	50	3	81
Nov 2021	33	64	4	101
Dec 2021	19	21	0	40
Jan 2022	33	39	2	74
Feb 2022	18	18	3	39
Mar 2022	28	22	2	52
Apr 2022	19	23	4	46
May 2022	25	26	1	52
Jun 2022	27	18	3	48
Jul 2022	25	16	1	42
Aug 2022	30	16	0	46
Sep 2022	42	24	1	67
Oct 2022	34	27	4	65
Nov 2022	41	28	2	71
Dec 2022	54	22	2	78
Jan 2023	33	25	2	60
Feb 2023	32	22	5	59
Mar 2023	74	34	3	111
Apr 2023	36	40	3	79
May 2023	58	40	8	106
Jun 2023	58	22	1	81
Jul 2023	23	16	1	40
Aug 2023	21	19	3	43
Sep 2023	38	31	7	76
Oct 2023	170	41	3	214
Nov 2023	204	14	1	219
Dec 2023	28	18	2	48
Jan 2024	27	24	1	52
Feb 2024	22	25	2	49
Mar 2024	32	23	5	60
Apr 2024	27	21	3	51
May 2024	36	28	2	66
Jun 2024	48	23	2	73
Jul 2024	39	27	3	69
Aug 2024	52	19	4	75
Sep 2024	31	24	2	57
Oct 2024	31	22	1	54
Nov 2024	29	7	1	37
Dec 2024	29	14	2	45
Jan 2025	40	22	0	62
Feb 2025	47	12	0	59
Mar 2025	45	16	0	61
Apr 2025	50	24	1	75
May 2025	31	15	0	46
Jun 2025	66	23	0	89
Jul 2025	167	39	3	209
Aug 2025	50	30	0	80
Sep 2025	41	27	1	69
Oct 2025	54	54	2	110
Nov 2025	29	20	1	50

Cumulative views and downloads (calculated since 17 May 2016)

Month	HTML	PDF	XML	Total
May 2016	90	21	0	111
Jun 2016	33	6	2	41
Jul 2016	18	1	2	21
Aug 2016	9	5	1	15
Sep 2016	5	2	0	7
Oct 2016	18	4	1	23
Nov 2016	15	3	1	19
Dec 2016	121	36	2	159
Jan 2017	60	23	0	83
Feb 2017	18	7	0	25
Mar 2017	42	12	1	55
Apr 2017	25	10	0	35
May 2017	32	20	1	53
Jun 2017	30	15	0	45
Jul 2017	25	18	0	43
Aug 2017	18	19	2	39
Sep 2017	24	18	0	42
Oct 2017	25	9	3	37
Nov 2017	11	15	0	26
Dec 2017	16	14	3	33
Jan 2018	15	15	0	30
Feb 2018	6	9	2	17
Mar 2018	18	12	2	32
Apr 2018	15	13	1	29
May 2018	12	13	1	26
Jun 2018	28	15	1	44
Jul 2018	16	9	1	26
Aug 2018	30	17	5	52
Sep 2018	13	11	0	24
Oct 2018	18	18	0	36
Nov 2018	33	29	7	69
Dec 2018	17	11	0	28
Jan 2019	11	11	3	25
Feb 2019	8	4	0	12
Mar 2019	17	10	1	28
Apr 2019	20	10	0	30
May 2019	25	12	1	38
Jun 2019	17	21	0	38
Jul 2019	22	18	1	41
Aug 2019	15	11	1	27
Sep 2019	19	15	1	35
Oct 2019	21	14	2	37
Nov 2019	20	12	0	32
Dec 2019	16	11	0	27
Jan 2020	19	17	2	38
Feb 2020	16	13	0	29
Mar 2020	17	21	0	38
Apr 2020	27	18	1	46
May 2020	12	17	0	29
Jun 2020	25	15	1	41
Jul 2020	27	32	11	70
Aug 2020	18	23	4	45
Sep 2020	20	11	0	31
Oct 2020	25	16	2	43
Nov 2020	28	23	1	52
Dec 2020	34	25	1	60
Jan 2021	43	19	0	62
Feb 2021	25	17	1	43
Mar 2021	31	19	3	53
Apr 2021	30	22	0	52
May 2021	18	14	1	33
Jun 2021	13	14	2	29
Jul 2021	21	20	0	41
Aug 2021	16	31	1	48
Sep 2021	18	21	0	39
Oct 2021	28	50	3	81
Nov 2021	33	64	4	101
Dec 2021	19	21	0	40
Jan 2022	33	39	2	74
Feb 2022	18	18	3	39
Mar 2022	28	22	2	52
Apr 2022	19	23	4	46
May 2022	25	26	1	52
Jun 2022	27	18	3	48
Jul 2022	25	16	1	42
Aug 2022	30	16	0	46
Sep 2022	42	24	1	67
Oct 2022	34	27	4	65
Nov 2022	41	28	2	71
Dec 2022	54	22	2	78
Jan 2023	33	25	2	60
Feb 2023	32	22	5	59
Mar 2023	74	34	3	111
Apr 2023	36	40	3	79
May 2023	58	40	8	106
Jun 2023	58	22	1	81
Jul 2023	23	16	1	40
Aug 2023	21	19	3	43
Sep 2023	38	31	7	76
Oct 2023	170	41	3	214
Nov 2023	204	14	1	219
Dec 2023	28	18	2	48
Jan 2024	27	24	1	52
Feb 2024	22	25	2	49
Mar 2024	32	23	5	60
Apr 2024	27	21	3	51
May 2024	36	28	2	66
Jun 2024	48	23	2	73
Jul 2024	39	27	3	69
Aug 2024	52	19	4	75
Sep 2024	31	24	2	57
Oct 2024	31	22	1	54
Nov 2024	29	7	1	37
Dec 2024	29	14	2	45
Jan 2025	40	22	0	62
Feb 2025	47	12	0	59
Mar 2025	45	16	0	61
Apr 2025	50	24	1	75
May 2025	31	15	0	46
Jun 2025	66	23	0	89
Jul 2025	167	39	3	209
Aug 2025	50	30	0	80
Sep 2025	41	27	1	69
Oct 2025	54	54	2	110
Nov 2025	29	20	1	50

Latest update: 15 Nov 2025

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Short summary

INSYDE is a new synthetic flood damage model based on a component-by-component analysis of physical damage to buildings. The damage functions are designed using an expert-based approach with the support of existing scientific and technical literature, loss adjustment studies, and damage surveys. The model structure is designed to be transparent and flexible, and therefore it can be applied in different geographical contexts.