Citizen observations contributing to flood modelling: opportunities and challenges

Assumpção, Thaine H.; Popescu, Ioana; Jonoski, Andreja; Solomatine, Dimitri P.

doi:10.5194/hess-22-1473-2018

Articles | Volume 22, issue 2

https://doi.org/10.5194/hess-22-1473-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-22-1473-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 2

Review article

| Highlight paper

|

28 Feb 2018

Review article | Highlight paper |

| 28 Feb 2018

Citizen observations contributing to flood modelling: opportunities and challenges

Thaine H. Assumpção, Ioana Popescu, Andreja Jonoski, and Dimitri P. Solomatine

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Total article views: 9,388 (including HTML, PDF, and XML)

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XML: 134
Total: 9,388
BibTeX: 159
EndNote: 187

Views and downloads (calculated since 26 Jul 2017)

Month	HTML	PDF	XML	Total
Jul 2017	130	42	1	173
Aug 2017	182	28	2	212
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Oct 2017	33	18	0	51
Nov 2017	62	20	0	82
Dec 2017	42	19	0	61
Jan 2018	50	20	0	70
Feb 2018	144	39	6	189
Mar 2018	299	196	3	498
Apr 2018	63	45	3	111
May 2018	43	37	0	80
Jun 2018	42	23	0	65
Jul 2018	40	49	1	90
Aug 2018	45	47	2	94
Sep 2018	41	30	0	71
Oct 2018	35	25	1	61
Nov 2018	25	32	0	57
Dec 2018	28	20	1	49
Jan 2019	30	33	2	65
Feb 2019	18	23	0	41
Mar 2019	43	28	0	71
Apr 2019	36	21	0	57
May 2019	52	27	0	79
Jun 2019	64	34	1	99
Jul 2019	52	25	1	78
Aug 2019	48	20	0	68
Sep 2019	45	15	2	62
Oct 2019	61	23	2	86
Nov 2019	43	12	1	56
Dec 2019	50	14	1	65
Jan 2020	54	12	1	67
Feb 2020	51	15	0	66
Mar 2020	49	6	2	57
Apr 2020	71	12	0	83
May 2020	76	10	1	87
Jun 2020	62	13	0	75
Jul 2020	53	18	3	74
Aug 2020	74	18	3	95
Sep 2020	75	9	0	84
Oct 2020	49	16	0	65
Nov 2020	45	19	0	64
Dec 2020	69	12	0	81
Jan 2021	105	22	2	129
Feb 2021	80	13	0	93
Mar 2021	82	18	1	101
Apr 2021	102	31	1	134
May 2021	90	18	1	109
Jun 2021	93	19	0	112
Jul 2021	70	24	0	94
Aug 2021	65	21	1	87
Sep 2021	60	19	0	79
Oct 2021	61	85	0	146
Nov 2021	60	64	1	125
Dec 2021	67	41	0	108
Jan 2022	55	34	1	90
Feb 2022	67	14	1	82
Mar 2022	87	26	2	115
Apr 2022	116	36	1	153
May 2022	57	14	1	72
Jun 2022	62	16	1	79
Jul 2022	63	8	1	72
Aug 2022	133	14	0	147
Sep 2022	85	12	0	97
Oct 2022	76	10	0	86
Nov 2022	101	33	3	137
Dec 2022	101	27	5	133
Jan 2023	104	41	2	147
Feb 2023	97	18	6	121
Mar 2023	123	45	5	173
Apr 2023	71	48	2	121
May 2023	72	30	0	102
Jun 2023	91	15	2	108
Jul 2023	125	22	5	152
Aug 2023	61	22	2	85
Sep 2023	75	20	0	95
Oct 2023	99	26	1	126
Nov 2023	44	8	0	52
Dec 2023	37	20	4	61
Jan 2024	53	13	0	66
Feb 2024	36	11	0	47
Mar 2024	52	21	8	81
Apr 2024	70	24	4	98
May 2024	30	17	4	51
Jun 2024	41	16	1	58
Jul 2024	86	17	3	106
Aug 2024	66	12	5	83
Sep 2024	38	9	0	47
Oct 2024	40	20	0	60
Nov 2024	44	11	0	55
Dec 2024	49	15	4	68
Jan 2025	49	21	2	72
Feb 2025	69	15	1	85
Mar 2025	50	15	1	66
Apr 2025	47	23	1	71
May 2025	57	12	1	70
Jun 2025	77	17	1	95
Jul 2025	67	29	2	98
Aug 2025	61	11	1	73
Sep 2025	114	11	1	126
Oct 2025	49	35	2	86
Nov 2025	11	5	0	16

Cumulative views and downloads (calculated since 26 Jul 2017)

Month	HTML	PDF	XML	Total
Jul 2017	130	42	1	173
Aug 2017	182	28	2	212
Sep 2017	26	22	0	48
Oct 2017	33	18	0	51
Nov 2017	62	20	0	82
Dec 2017	42	19	0	61
Jan 2018	50	20	0	70
Feb 2018	144	39	6	189
Mar 2018	299	196	3	498
Apr 2018	63	45	3	111
May 2018	43	37	0	80
Jun 2018	42	23	0	65
Jul 2018	40	49	1	90
Aug 2018	45	47	2	94
Sep 2018	41	30	0	71
Oct 2018	35	25	1	61
Nov 2018	25	32	0	57
Dec 2018	28	20	1	49
Jan 2019	30	33	2	65
Feb 2019	18	23	0	41
Mar 2019	43	28	0	71
Apr 2019	36	21	0	57
May 2019	52	27	0	79
Jun 2019	64	34	1	99
Jul 2019	52	25	1	78
Aug 2019	48	20	0	68
Sep 2019	45	15	2	62
Oct 2019	61	23	2	86
Nov 2019	43	12	1	56
Dec 2019	50	14	1	65
Jan 2020	54	12	1	67
Feb 2020	51	15	0	66
Mar 2020	49	6	2	57
Apr 2020	71	12	0	83
May 2020	76	10	1	87
Jun 2020	62	13	0	75
Jul 2020	53	18	3	74
Aug 2020	74	18	3	95
Sep 2020	75	9	0	84
Oct 2020	49	16	0	65
Nov 2020	45	19	0	64
Dec 2020	69	12	0	81
Jan 2021	105	22	2	129
Feb 2021	80	13	0	93
Mar 2021	82	18	1	101
Apr 2021	102	31	1	134
May 2021	90	18	1	109
Jun 2021	93	19	0	112
Jul 2021	70	24	0	94
Aug 2021	65	21	1	87
Sep 2021	60	19	0	79
Oct 2021	61	85	0	146
Nov 2021	60	64	1	125
Dec 2021	67	41	0	108
Jan 2022	55	34	1	90
Feb 2022	67	14	1	82
Mar 2022	87	26	2	115
Apr 2022	116	36	1	153
May 2022	57	14	1	72
Jun 2022	62	16	1	79
Jul 2022	63	8	1	72
Aug 2022	133	14	0	147
Sep 2022	85	12	0	97
Oct 2022	76	10	0	86
Nov 2022	101	33	3	137
Dec 2022	101	27	5	133
Jan 2023	104	41	2	147
Feb 2023	97	18	6	121
Mar 2023	123	45	5	173
Apr 2023	71	48	2	121
May 2023	72	30	0	102
Jun 2023	91	15	2	108
Jul 2023	125	22	5	152
Aug 2023	61	22	2	85
Sep 2023	75	20	0	95
Oct 2023	99	26	1	126
Nov 2023	44	8	0	52
Dec 2023	37	20	4	61
Jan 2024	53	13	0	66
Feb 2024	36	11	0	47
Mar 2024	52	21	8	81
Apr 2024	70	24	4	98
May 2024	30	17	4	51
Jun 2024	41	16	1	58
Jul 2024	86	17	3	106
Aug 2024	66	12	5	83
Sep 2024	38	9	0	47
Oct 2024	40	20	0	60
Nov 2024	44	11	0	55
Dec 2024	49	15	4	68
Jan 2025	49	21	2	72
Feb 2025	69	15	1	85
Mar 2025	50	15	1	66
Apr 2025	47	23	1	71
May 2025	57	12	1	70
Jun 2025	77	17	1	95
Jul 2025	67	29	2	98
Aug 2025	61	11	1	73
Sep 2025	114	11	1	126
Oct 2025	49	35	2	86
Nov 2025	11	5	0	16

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Total article views: 9,388 (including HTML, PDF, and XML) Thereof 8,738 with geography defined and 650 with unknown origin.

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1

1

Latest update: 08 Nov 2025

Short summary

Citizens can contribute to science by providing data, analysing them and as such contributing to decision-making processes. For example, citizens have collected water levels from gauges, which are important when simulating/forecasting floods, where data are usually scarce. This study reviewed such contributions and concluded that integration of citizen data may not be easy due to their spatio-temporal characteristics but that citizen data still proved valuable and can be used in flood modelling.


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