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

Melchiorre, C.; Tryggvason, A.

doi:https://doi.org/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

Viewed

Total article views: 1,972 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,054	824	94	1,972	101	98

HTML: 1,054
PDF: 824
XML: 94
Total: 1,972
BibTeX: 101
EndNote: 98

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
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
Aug 2019	3	5	0	8
Sep 2019	4	1	0	5
Oct 2019	7	5	1	13
Nov 2019	3	4	0	7
Dec 2019	7	3	0	10
Jan 2020	8	7	3	18
Feb 2020	3	3	1	7
Mar 2020	1	5	0	6
Apr 2020	5	3	1	9
May 2020	5	7	0	12
Jun 2020	17	7	0	24
Jul 2020	29	25	18	72
Aug 2020	6	10	9	25
Sep 2020	8	3	0	11
Oct 2020	2	9	0	11
Nov 2020	9	5	2	16
Dec 2020	6	15	0	21
Jan 2021	21	10	1	32
Feb 2021	6	5	0	11
Mar 2021	5	2	0	7
Apr 2021	3	3	0	6
May 2021	4	3	0	7
Jun 2021	5	3	0	8
Jul 2021	5	9	0	14
Aug 2021	10	6	1	17
Sep 2021	8	6	0	14
Oct 2021	2	35	0	37
Nov 2021	6	23	0	29
Dec 2021	7	5	0	12
Jan 2022	8	12	0	20
Feb 2022	3	1	2	6
Mar 2022	4	10	0	14
Apr 2022	6	8	2	16
May 2022	2	1	1	4
Jun 2022	3	1	1	5
Jul 2022	2	1	0	3
Aug 2022	9	4	0	13
Sep 2022	3	3	0	6
Oct 2022	4	9	0	13
Nov 2022	12	4	0	16
Dec 2022	8	3	1	12
Jan 2023	8	12	0	20
Feb 2023	11	7	0	18
Mar 2023	5	4	0	9
Apr 2023	2	2	0	4
May 2023	11	6	4	21
Jun 2023	5	3	0	8
Jul 2023	4	4	0	8
Aug 2023	8	3	2	13
Sep 2023	4	8	1	13
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	9	9	3	21

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
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
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
Aug 2019	3	5	0	8
Sep 2019	4	1	0	5
Oct 2019	7	5	1	13
Nov 2019	3	4	0	7
Dec 2019	7	3	0	10
Jan 2020	8	7	3	18
Feb 2020	3	3	1	7
Mar 2020	1	5	0	6
Apr 2020	5	3	1	9
May 2020	5	7	0	12
Jun 2020	17	7	0	24
Jul 2020	29	25	18	72
Aug 2020	6	10	9	25
Sep 2020	8	3	0	11
Oct 2020	2	9	0	11
Nov 2020	9	5	2	16
Dec 2020	6	15	0	21
Jan 2021	21	10	1	32
Feb 2021	6	5	0	11
Mar 2021	5	2	0	7
Apr 2021	3	3	0	6
May 2021	4	3	0	7
Jun 2021	5	3	0	8
Jul 2021	5	9	0	14
Aug 2021	10	6	1	17
Sep 2021	8	6	0	14
Oct 2021	2	35	0	37
Nov 2021	6	23	0	29
Dec 2021	7	5	0	12
Jan 2022	8	12	0	20
Feb 2022	3	1	2	6
Mar 2022	4	10	0	14
Apr 2022	6	8	2	16
May 2022	2	1	1	4
Jun 2022	3	1	1	5
Jul 2022	2	1	0	3
Aug 2022	9	4	0	13
Sep 2022	3	3	0	6
Oct 2022	4	9	0	13
Nov 2022	12	4	0	16
Dec 2022	8	3	1	12
Jan 2023	8	12	0	20
Feb 2023	11	7	0	18
Mar 2023	5	4	0	9
Apr 2023	2	2	0	4
May 2023	11	6	4	21
Jun 2023	5	3	0	8
Jul 2023	4	4	0	8
Aug 2023	8	3	2	13
Sep 2023	4	8	1	13
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	9	9	3	21

Cited

Saved (final revised paper)

Latest update: 26 Jul 2024

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

Viewed

Cited

1 citations as recorded by crossref.

1 citations as recorded by crossref.

Saved (final revised paper)