Application of a fast and efficient algorithm to assess landslide-prone areas in sensitive clays in Sweden

Melchiorre, C.; Tryggvason, A.

doi:10.5194/nhess-15-2703-2015

Articles | Volume 15, issue 12

https://doi.org/10.5194/nhess-15-2703-2015

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

Special issue:

Landslide Prediction & Forecasting

https://doi.org/10.5194/nhess-15-2703-2015

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

Articles | Volume 15, issue 12

Research article

|

21 Dec 2015

Research article |

| 21 Dec 2015

Application of a fast and efficient algorithm to assess landslide-prone areas in sensitive clays in Sweden

C. Melchiorre and A. Tryggvason

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Total article views: 2,658 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,414	1,101	143	2,658	170	199

HTML: 1,414
PDF: 1,101
XML: 143
Total: 2,658
BibTeX: 170
EndNote: 199

Views and downloads (calculated since 19 Dec 2014)

Month	HTML	PDF	XML	Total
Dec 2014	21	30	1	52
Jan 2015	10	9	0	19
Feb 2015	5	9	0	14
Mar 2015	9	6	1	16
Apr 2015	15	6	1	22
May 2015	1	3	0	4
Jun 2015	10	4	0	14
Jul 2015	9	4	0	13
Aug 2015	2	5	1	8
Sep 2015	1	0	1
Oct 2015	3	2	0	5
Nov 2015	8	3	1	12
Dec 2015	19	31	2	52
Jan 2016	60	48	1	109
Feb 2016	28	14	1	43
Mar 2016	17	3	0	20
Apr 2016	14	7	1	22
May 2016	10	9	0	19
Jun 2016	5	2	1	8
Jul 2016	7	5	2	14
Aug 2016	6	3	0	9
Sep 2016	7	4	0	11
Oct 2016	8	6	0	14
Nov 2016	12	9	1	22
Dec 2016	5	4	1	10
Jan 2017	13	7	0	20
Feb 2017	7	2	0	9
Mar 2017	16	4	0	20
Apr 2017	15	12	0	27
May 2017	18	8	1	27
Jun 2017	14	7	0	21
Jul 2017	14	8	0	22
Aug 2017	11	7	0	18
Sep 2017	12	9	0	21
Oct 2017	11	4	0	15
Nov 2017	13	5	0	18
Dec 2017	17	11	1	29
Jan 2018	11	8	1	20
Feb 2018	8	3	0	11
Mar 2018	14	6	0	20
Apr 2018	12	4	0	16
May 2018	11	5	0	16
Jun 2018	13	6	1	20
Jul 2018	16	10	1	27
Aug 2018	16	9	1	26
Sep 2018	12	11	1	24
Oct 2018	10	12	1	23
Nov 2018	12	10	0	22
Dec 2018	14	11	0	25
Jan 2019	11	8	0	19
Feb 2019	6	4	0	10
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Oct 2019	7	5	1	13
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Mar 2020	1	5	0	6
Apr 2020	5	3	1	9
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Jun 2020	17	7	0	24
Jul 2020	29	25	18	72
Aug 2020	6	10	9	25
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Nov 2020	9	5	2	16
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Jan 2021	21	10	1	32
Feb 2021	6	5	0	11
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Apr 2021	3	3	0	6
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Dec 2022	8	3	1	12
Jan 2023	8	12	0	20
Feb 2023	11	7	0	18
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Apr 2023	2	2	0	4
May 2023	11	6	4	21
Jun 2023	5	3	0	8
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Aug 2023	8	3	2	13
Sep 2023	4	8	1	13
Oct 2023	6	6	0	12
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Jan 2024	11	3	1	15
Feb 2024	9	4	3	16
Mar 2024	3	5	1	9
Apr 2024	16	4	6	26
May 2024	11	6	1	18
Jun 2024	12	7	3	22
Jul 2024	12	10	3	25
Aug 2024	13	6	1	20
Sep 2024	8	6	1	15
Oct 2024	18	13	0	31
Nov 2024	2	6	0	8
Dec 2024	4	8	2	14
Jan 2025	12	4	5	21
Feb 2025	16	12	3	31
Mar 2025	8	13	5	26
Apr 2025	7	15	0	22
May 2025	19	7	1	27
Jun 2025	35	13	0	48
Jul 2025	26	10	0	36
Aug 2025	8	10	1	19
Sep 2025	13	14	0	27
Oct 2025	13	14	4	31
Nov 2025	29	32	2	63
Dec 2025	24	23	1	48
Jan 2026	25	13	5	43
Feb 2026	18	14	3	35
Mar 2026	14	13	8	35
Apr 2026	20	20	2	42
May 2026	17	7	0	24
Jun 2026	8	3	5	16

Cumulative views and downloads (calculated since 19 Dec 2014)

Month	HTML	PDF	XML	Total
Dec 2014	21	30	1	52
Jan 2015	10	9	0	19
Feb 2015	5	9	0	14
Mar 2015	9	6	1	16
Apr 2015	15	6	1	22
May 2015	1	3	0	4
Jun 2015	10	4	0	14
Jul 2015	9	4	0	13
Aug 2015	2	5	1	8
Sep 2015	1	0	1
Oct 2015	3	2	0	5
Nov 2015	8	3	1	12
Dec 2015	19	31	2	52
Jan 2016	60	48	1	109
Feb 2016	28	14	1	43
Mar 2016	17	3	0	20
Apr 2016	14	7	1	22
May 2016	10	9	0	19
Jun 2016	5	2	1	8
Jul 2016	7	5	2	14
Aug 2016	6	3	0	9
Sep 2016	7	4	0	11
Oct 2016	8	6	0	14
Nov 2016	12	9	1	22
Dec 2016	5	4	1	10
Jan 2017	13	7	0	20
Feb 2017	7	2	0	9
Mar 2017	16	4	0	20
Apr 2017	15	12	0	27
May 2017	18	8	1	27
Jun 2017	14	7	0	21
Jul 2017	14	8	0	22
Aug 2017	11	7	0	18
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Oct 2017	11	4	0	15
Nov 2017	13	5	0	18
Dec 2017	17	11	1	29
Jan 2018	11	8	1	20
Feb 2018	8	3	0	11
Mar 2018	14	6	0	20
Apr 2018	12	4	0	16
May 2018	11	5	0	16
Jun 2018	13	6	1	20
Jul 2018	16	10	1	27
Aug 2018	16	9	1	26
Sep 2018	12	11	1	24
Oct 2018	10	12	1	23
Nov 2018	12	10	0	22
Dec 2018	14	11	0	25
Jan 2019	11	8	0	19
Feb 2019	6	4	0	10
Mar 2019	8	9	1	18
Apr 2019	1	2	0	3
May 2019	3	3	0	6
Jun 2019	7	7	0	14
Jul 2019	5	7	0	12
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Oct 2019	7	5	1	13
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Jan 2020	8	7	3	18
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Nov 2020	9	5	2	16
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Jan 2021	21	10	1	32
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Aug 2021	10	6	1	17
Sep 2021	8	6	0	14
Oct 2021	2	35	0	37
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Jan 2022	8	12	0	20
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Apr 2023	2	2	0	4
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Jun 2023	5	3	0	8
Jul 2023	4	4	0	8
Aug 2023	8	3	2	13
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Oct 2023	6	6	0	12
Nov 2023	1	1	2
Dec 2023	6	2	0	8
Jan 2024	11	3	1	15
Feb 2024	9	4	3	16
Mar 2024	3	5	1	9
Apr 2024	16	4	6	26
May 2024	11	6	1	18
Jun 2024	12	7	3	22
Jul 2024	12	10	3	25
Aug 2024	13	6	1	20
Sep 2024	8	6	1	15
Oct 2024	18	13	0	31
Nov 2024	2	6	0	8
Dec 2024	4	8	2	14
Jan 2025	12	4	5	21
Feb 2025	16	12	3	31
Mar 2025	8	13	5	26
Apr 2025	7	15	0	22
May 2025	19	7	1	27
Jun 2025	35	13	0	48
Jul 2025	26	10	0	36
Aug 2025	8	10	1	19
Sep 2025	13	14	0	27
Oct 2025	13	14	4	31
Nov 2025	29	32	2	63
Dec 2025	24	23	1	48
Jan 2026	25	13	5	43
Feb 2026	18	14	3	35
Mar 2026	14	13	8	35
Apr 2026	20	20	2	42
May 2026	17	7	0	24
Jun 2026	8	3	5	16

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Application of a fast and efficient algorithm to assess landslide-prone areas in sensitive clays in Sweden

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