Modelling the interaction between flooding events and economic growth

Grames, J.; Prskawetz, A.; Grass, D.; Blöschl, G.

doi:https://doi.org/10.5194/piahs-369-3-2015

Articles | Volume 369

https://doi.org/10.5194/piahs-369-3-2015

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

https://doi.org/10.5194/piahs-369-3-2015

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

Articles | Volume 369

11 Jun 2015

| 11 Jun 2015

Modelling the interaction between flooding events and economic growth

J. Grames, A. Prskawetz, D. Grass, and G. Blöschl

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Total article views: 1,927 (including HTML, PDF, and XML)

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Views and downloads (calculated since 11 Jun 2015)

Month	HTML	PDF	XML	Total
Jun 2015	25	30	1	56
Jul 2015	43	58	0	101
Aug 2015	18	16	0	34
Sep 2015	8	4	0	12
Oct 2015	12	15	0	27
Nov 2015	14	14	0	28
Dec 2015	8	7	1	16
Jan 2016	25	13	1	39
Feb 2016	12	6	0	18
Mar 2016	10	2	0	12
Apr 2016	6	4	0	10
May 2016	9	10	1	20
Jun 2016	1	2	0	3
Jul 2016	4	3	1	8
Aug 2016	4	3	0	7
Sep 2016	5	2	0	7
Oct 2016	4	3	2	9
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Apr 2017	17	4	0	21
May 2017	13	8	0	21
Jun 2017	5	3	0	8
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Sep 2017	7	6	0	13
Oct 2017	5	7	0	12
Nov 2017	13	10	1	24
Dec 2017	16	5	0	21
Jan 2018	27	3	2	32
Feb 2018	42	6	7	55
Mar 2018	26	6	1	33
Apr 2018	16	3	0	19
May 2018	13	5	0	18
Jun 2018	24	8	2	34
Jul 2018	20	5	0	25
Aug 2018	12	7	1	20
Sep 2018	11	4	0	15
Oct 2018	19	11	1	31
Nov 2018	14	9	1	24
Dec 2018	9	3	1	13
Jan 2019	12	8	1	21
Feb 2019	20	3	1	24
Mar 2019	12	4	0	16
Apr 2019	6	6	0	12
May 2019	12	9	0	21
Jun 2019	8	9	0	17
Jul 2019	7	6	0	13
Aug 2019	6	7	0	13
Sep 2019	6	7	0	13
Oct 2019	5	4	0	9
Nov 2019	7	6	0	13
Dec 2019	5	6	0	11
Jan 2020	9	5	0	14
Feb 2020	10	11	0	21
Mar 2020	7	9	0	16
Apr 2020	13	7	0	20
May 2020	15	2	1	18
Jun 2020	32	13	1	46
Jul 2020	60	45	38	143
Aug 2020	3	8	2	13
Sep 2020	7	7	0	14
Oct 2020	8	5	0	13
Nov 2020	3	6	0	9
Dec 2020	5	5	0	10
Jan 2021	7	9	0	16
Feb 2021	4	7	0	11
Mar 2021	8	4	0	12
Apr 2021	4	7	0	11
May 2021	8	5	0	13
Jun 2021	8	5	0	13
Jul 2021	3	7	0	10
Aug 2021	5	6	0	11
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Oct 2021	9	23	0	32
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Jan 2022	8	8	0	16
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Mar 2022	6	7	0	13
Apr 2022	6	5	1	12
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Jun 2022	6	4	1	11
Jul 2022	5	3	0	8
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Dec 2022	6	7	1	14
Jan 2023	5	9	0	14
Feb 2023	9	6	0	15
Mar 2023	6	5	0	11
Apr 2023	5	1	0	6
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Jun 2023	13	8	3	24
Jul 2023	4	4	0	8
Aug 2023	2	1	0	3
Sep 2023	8	6	1	15
Oct 2023	15	2	0	17
Nov 2023	3	3	0	6
Dec 2023	13	6	2	21
Jan 2024	7	2	1	10
Feb 2024	2	5	0	7
Mar 2024	5	3	0	8
Apr 2024	7	2	9

Cumulative views and downloads (calculated since 11 Jun 2015)

Month	HTML	PDF	XML	Total
Jun 2015	25	30	1	56
Jul 2015	43	58	0	101
Aug 2015	18	16	0	34
Sep 2015	8	4	0	12
Oct 2015	12	15	0	27
Nov 2015	14	14	0	28
Dec 2015	8	7	1	16
Jan 2016	25	13	1	39
Feb 2016	12	6	0	18
Mar 2016	10	2	0	12
Apr 2016	6	4	0	10
May 2016	9	10	1	20
Jun 2016	1	2	0	3
Jul 2016	4	3	1	8
Aug 2016	4	3	0	7
Sep 2016	5	2	0	7
Oct 2016	4	3	2	9
Nov 2016	3	4	0	7
Dec 2016	4	2	6
Jan 2017	5	3	0	8
Feb 2017	3	2	0	5
Mar 2017	12	6	1	19
Apr 2017	17	4	0	21
May 2017	13	8	0	21
Jun 2017	5	3	0	8
Jul 2017	8	4	0	12
Aug 2017	4	2	0	6
Sep 2017	7	6	0	13
Oct 2017	5	7	0	12
Nov 2017	13	10	1	24
Dec 2017	16	5	0	21
Jan 2018	27	3	2	32
Feb 2018	42	6	7	55
Mar 2018	26	6	1	33
Apr 2018	16	3	0	19
May 2018	13	5	0	18
Jun 2018	24	8	2	34
Jul 2018	20	5	0	25
Aug 2018	12	7	1	20
Sep 2018	11	4	0	15
Oct 2018	19	11	1	31
Nov 2018	14	9	1	24
Dec 2018	9	3	1	13
Jan 2019	12	8	1	21
Feb 2019	20	3	1	24
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Apr 2019	6	6	0	12
May 2019	12	9	0	21
Jun 2019	8	9	0	17
Jul 2019	7	6	0	13
Aug 2019	6	7	0	13
Sep 2019	6	7	0	13
Oct 2019	5	4	0	9
Nov 2019	7	6	0	13
Dec 2019	5	6	0	11
Jan 2020	9	5	0	14
Feb 2020	10	11	0	21
Mar 2020	7	9	0	16
Apr 2020	13	7	0	20
May 2020	15	2	1	18
Jun 2020	32	13	1	46
Jul 2020	60	45	38	143
Aug 2020	3	8	2	13
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Jul 2021	3	7	0	10
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Oct 2021	9	23	0	32
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Jan 2022	8	8	0	16
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Jun 2023	13	8	3	24
Jul 2023	4	4	0	8
Aug 2023	2	1	0	3
Sep 2023	8	6	1	15
Oct 2023	15	2	0	17
Nov 2023	3	3	0	6
Dec 2023	13	6	2	21
Jan 2024	7	2	1	10
Feb 2024	2	5	0	7
Mar 2024	5	3	0	8
Apr 2024	7	2	9

Cited

Latest update: 18 Apr 2024

Short summary

Communities live close to rivers and therefore are confronted with the risk of flooding. It is important to understand the drivers and mechanisms of the consumption and investment behavior of these societies in order to identify an optimal investment strategy into flood defense capital. To solve such an economic optimization model we develop a periodic water function to approximate the former discrete stochastic time series of rainfall events and apply it to an existing socio-hydrology model.

Modelling the interaction between flooding events and economic growth

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5 citations as recorded by crossref.