A semi-phenomenological approach to explain the event-size distribution of the Drossel-Schwabl forest-fire model

Hergarten, S.; Krenn, R.

doi:https://doi.org/10.5194/npg-18-381-2011

Articles | Volume 18, issue 3

https://doi.org/10.5194/npg-18-381-2011

© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/npg-18-381-2011

© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 18, issue 3

Research article

|

21 Jun 2011

Research article |

| 21 Jun 2011

A semi-phenomenological approach to explain the event-size distribution of the Drossel-Schwabl forest-fire model

S. Hergarten and R. Krenn

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Total article views: 2,322 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
988	1,121	213	2,322	141	135

HTML: 988
PDF: 1,121
XML: 213
Total: 2,322
BibTeX: 141
EndNote: 135

Views and downloads (calculated since 01 Feb 2013)

Month	HTML	PDF	XML	Total
Feb 2013	3	8	1	12
Mar 2013	7	12	0	19
Apr 2013	4	7	1	12
May 2013	1	12	2	15
Jun 2013	3	9	0	12
Jul 2013	4	13	0	17
Aug 2013	11	7	2	20
Sep 2013	1	10	0	11
Oct 2013	6	17	2	25
Nov 2013	3	10	0	13
Dec 2013	5	8	0	13
Jan 2014	8	10	2	20
Feb 2014	6	17	2	25
Mar 2014	9	9	0	18
Apr 2014	2	12	1	15
May 2014	7	13	2	22
Jun 2014	4	10	3	17
Jul 2014	2	19	0	21
Aug 2014	3	10	1	14
Sep 2014	3	15	1	19
Oct 2014	1	15	1	17
Nov 2014	5	10	1	16
Dec 2014	3	10	3	16
Jan 2015	11	7	0	18
Feb 2015	7	1	0	8
Mar 2015	7	1	0	8
Apr 2015	11	3	0	14
May 2015	4	36	1	41
Jun 2015	27	71	2	100
Jul 2015	14	67	0	81
Aug 2015	4	50	0	54
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Nov 2015	9	3	0	12
Dec 2015	2	3	0	5
Jan 2016	19	12	1	32
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Apr 2016	7	2	0	9
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Jun 2016	5	0	5
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Dec 2017	12	7	4	23
Jan 2018	20	17	11	48
Feb 2018	11	7	4	22
Mar 2018	8	9	4	21
Apr 2018	12	11	4	27
May 2018	11	8	3	22
Jun 2018	12	8	5	25
Jul 2018	16	14	6	36
Aug 2018	18	11	5	34
Sep 2018	9	12	4	25
Oct 2018	21	15	6	42
Nov 2018	9	5	1	15
Dec 2018	10	6	3	19
Jan 2019	10	5	1	16
Feb 2019	16	4	4	24
Mar 2019	10	4	3	17
Apr 2019	14	10	1	25
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Nov 2019	6	4	0	10
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Jul 2022	3	3	0	6
Aug 2022	7	2	0	9
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Oct 2022	6	4	1	11
Nov 2022	8	7	0	15
Dec 2022	8	6	2	16
Jan 2023	6	9	1	16
Feb 2023	10	7	0	17
Mar 2023	6	2	0	8
Apr 2023	3	2	0	5
May 2023	8	8	0	16
Jun 2023	5	3	1	9
Jul 2023	4	3	0	7
Aug 2023	3	2	2	7
Sep 2023	3	7	1	11
Oct 2023	6	3	0	9
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Jan 2024	4	7	0	11
Feb 2024	1	5	0	6
Mar 2024	1	3	0	4
Apr 2024	8	3	4	15
May 2024	7	11	3	21
Jun 2024	34	3	2	39

Cumulative views and downloads (calculated since 01 Feb 2013)

Month	HTML	PDF	XML	Total
Feb 2013	3	8	1	12
Mar 2013	7	12	0	19
Apr 2013	4	7	1	12
May 2013	1	12	2	15
Jun 2013	3	9	0	12
Jul 2013	4	13	0	17
Aug 2013	11	7	2	20
Sep 2013	1	10	0	11
Oct 2013	6	17	2	25
Nov 2013	3	10	0	13
Dec 2013	5	8	0	13
Jan 2014	8	10	2	20
Feb 2014	6	17	2	25
Mar 2014	9	9	0	18
Apr 2014	2	12	1	15
May 2014	7	13	2	22
Jun 2014	4	10	3	17
Jul 2014	2	19	0	21
Aug 2014	3	10	1	14
Sep 2014	3	15	1	19
Oct 2014	1	15	1	17
Nov 2014	5	10	1	16
Dec 2014	3	10	3	16
Jan 2015	11	7	0	18
Feb 2015	7	1	0	8
Mar 2015	7	1	0	8
Apr 2015	11	3	0	14
May 2015	4	36	1	41
Jun 2015	27	71	2	100
Jul 2015	14	67	0	81
Aug 2015	4	50	0	54
Sep 2015	1	2	1	4
Oct 2015	10	5	2	17
Nov 2015	9	3	0	12
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Apr 2016	7	2	0	9
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Oct 2017	8	6	1	15
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Dec 2017	12	7	4	23
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Mar 2018	8	9	4	21
Apr 2018	12	11	4	27
May 2018	11	8	3	22
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Aug 2018	18	11	5	34
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Oct 2018	21	15	6	42
Nov 2018	9	5	1	15
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Jan 2019	10	5	1	16
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Jan 2021	13	10	9	32
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Aug 2021	3	5	3	11
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Jan 2024	4	7	0	11
Feb 2024	1	5	0	6
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Apr 2024	8	3	4	15
May 2024	7	11	3	21
Jun 2024	34	3	2	39

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Latest update: 29 Jun 2024

A semi-phenomenological approach to explain the event-size distribution of the Drossel-Schwabl forest-fire model

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