Non-stationary hydrological frequency analysis based on the reconstruction of extreme hydrological series

Hu, Y. M.; Liang, Z. M.; Jiang, X. L.; Bu, H.

doi:10.5194/piahs-371-163-2015

Articles | Volume 371

https://doi.org/10.5194/piahs-371-163-2015

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

https://doi.org/10.5194/piahs-371-163-2015

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

Articles | Volume 371

12 Jun 2015

| 12 Jun 2015

Non-stationary hydrological frequency analysis based on the reconstruction of extreme hydrological series

Y. M. Hu, Z. M. Liang, X. L. Jiang, and H. Bu

Viewed

Total article views: 2,264 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,319	812	133	2,264	195	254

HTML: 1,319
PDF: 812
XML: 133
Total: 2,264
BibTeX: 195
EndNote: 254

Views and downloads (calculated since 12 Jun 2015)

Month	HTML	PDF	XML	Total
Jun 2015	18	14	1	33
Jul 2015	35	28	0	63
Aug 2015	13	5	0	18
Sep 2015	2	2	0	4
Oct 2015	8	4	0	12
Nov 2015	12	6	0	18
Dec 2015	2	5	0	7
Jan 2016	9	14	1	24
Feb 2016	2	13	0	15
Mar 2016	8	6	0	14
Apr 2016	5	4	0	9
May 2016	7	8	0	15
Jun 2016	0
Jul 2016	3	3	1	7
Aug 2016	2	0	2
Sep 2016	4	1	0	5
Oct 2016	4	4	1	9
Nov 2016	6	5	0	11
Dec 2016	1	0	1
Jan 2017	3	1	0	4
Feb 2017	2	1	0	3
Mar 2017	9	5	0	14
Apr 2017	7	4	0	11
May 2017	6	4	0	10
Jun 2017	6	4	0	10
Jul 2017	3	1	0	4
Aug 2017	3	3	0	6
Sep 2017	3	3	0	6
Oct 2017	3	5	0	8
Nov 2017	4	9	1	14
Dec 2017	2	5	0	7
Jan 2018	4	5	1	10
Feb 2018	15	5	3	23
Mar 2018	5	6	0	11
Apr 2018	2	4	0	6
May 2018	3	4	0	7
Jun 2018	5	9	1	15
Jul 2018	4	9	0	13
Aug 2018	6	4	0	10
Sep 2018	8	4	0	12
Oct 2018	10	7	0	17
Nov 2018	10	3	0	13
Dec 2018	8	3	0	11
Jan 2019	9	14	1	24
Feb 2019	10	3	0	13
Mar 2019	10	10	0	20
Apr 2019	2	3	0	5
May 2019	9	4	0	13
Jun 2019	8	9	0	17
Jul 2019	3	9	0	12
Aug 2019	6	8	0	14
Sep 2019	7	8	0	15
Oct 2019	8	5	0	13
Nov 2019	12	2	0	14
Dec 2019	12	9	1	22
Jan 2020	7	5	0	12
Feb 2020	8	6	0	14
Mar 2020	6	11	0	17
Apr 2020	15	7	0	22
May 2020	10	5	1	16
Jun 2020	35	9	1	45
Jul 2020	57	49	40	146
Aug 2020	5	2	3	10
Sep 2020	12	6	0	18
Oct 2020	7	4	0	11
Nov 2020	4	8	0	12
Dec 2020	8	6	0	14
Jan 2021	11	7	0	18
Feb 2021	11	6	0	17
Mar 2021	6	3	0	9
Apr 2021	3	6	0	9
May 2021	5	2	0	7
Jun 2021	4	5	0	9
Jul 2021	6	7	0	13
Aug 2021	7	4	0	11
Sep 2021	5	8	0	13
Oct 2021	6	18	1	25
Nov 2021	8	11	0	19
Dec 2021	6	2	0	8
Jan 2022	7	6	1	14
Feb 2022	7	3	0	10
Mar 2022	6	6	2	14
Apr 2022	4	3	1	8
May 2022	11	7	0	18
Jun 2022	1	1	0	2
Jul 2022	6	2	0	8
Aug 2022	3	5	0	8
Sep 2022	5	2	0	7
Oct 2022	9	2	1	12
Nov 2022	7	5	0	12
Dec 2022	10	6	0	16
Jan 2023	6	5	0	11
Feb 2023	7	3	0	10
Mar 2023	7	1	0	8
Apr 2023	7	3	0	10
May 2023	4	5	0	9
Jun 2023	9	6	2	17
Jul 2023	2	1	0	3
Aug 2023	3	4	0	7
Sep 2023	21	6	2	29
Oct 2023	26	3	0	29
Nov 2023	9	1	10
Dec 2023	8	1	1	10
Jan 2024	8	2	2	12
Feb 2024	4	3	0	7
Mar 2024	11	8	2	21
Apr 2024	21	4	5	30
May 2024	14	4	1	19
Jun 2024	11	2	2	15
Jul 2024	10	5	4	19
Aug 2024	24	6	2	32
Sep 2024	12	6	3	21
Oct 2024	9	5	3	17
Nov 2024	19	15	2	36
Dec 2024	3	5	3	11
Jan 2025	7	14	1	22
Feb 2025	20	7	1	28
Mar 2025	10	6	1	17
Apr 2025	7	8	1	16
May 2025	12	7	1	20
Jun 2025	22	7	1	30
Jul 2025	10	11	0	21
Aug 2025	27	9	1	37
Sep 2025	72	14	5	91
Oct 2025	33	14	4	51
Nov 2025	39	11	2	52
Dec 2025	20	13	3	36
Jan 2026	33	11	6	50
Feb 2026	25	5	6	36
Mar 2026	26	10	2	38
Apr 2026	5	3	0	8

Cumulative views and downloads (calculated since 12 Jun 2015)

Month	HTML	PDF	XML	Total
Jun 2015	18	14	1	33
Jul 2015	35	28	0	63
Aug 2015	13	5	0	18
Sep 2015	2	2	0	4
Oct 2015	8	4	0	12
Nov 2015	12	6	0	18
Dec 2015	2	5	0	7
Jan 2016	9	14	1	24
Feb 2016	2	13	0	15
Mar 2016	8	6	0	14
Apr 2016	5	4	0	9
May 2016	7	8	0	15
Jun 2016	0
Jul 2016	3	3	1	7
Aug 2016	2	0	2
Sep 2016	4	1	0	5
Oct 2016	4	4	1	9
Nov 2016	6	5	0	11
Dec 2016	1	0	1
Jan 2017	3	1	0	4
Feb 2017	2	1	0	3
Mar 2017	9	5	0	14
Apr 2017	7	4	0	11
May 2017	6	4	0	10
Jun 2017	6	4	0	10
Jul 2017	3	1	0	4
Aug 2017	3	3	0	6
Sep 2017	3	3	0	6
Oct 2017	3	5	0	8
Nov 2017	4	9	1	14
Dec 2017	2	5	0	7
Jan 2018	4	5	1	10
Feb 2018	15	5	3	23
Mar 2018	5	6	0	11
Apr 2018	2	4	0	6
May 2018	3	4	0	7
Jun 2018	5	9	1	15
Jul 2018	4	9	0	13
Aug 2018	6	4	0	10
Sep 2018	8	4	0	12
Oct 2018	10	7	0	17
Nov 2018	10	3	0	13
Dec 2018	8	3	0	11
Jan 2019	9	14	1	24
Feb 2019	10	3	0	13
Mar 2019	10	10	0	20
Apr 2019	2	3	0	5
May 2019	9	4	0	13
Jun 2019	8	9	0	17
Jul 2019	3	9	0	12
Aug 2019	6	8	0	14
Sep 2019	7	8	0	15
Oct 2019	8	5	0	13
Nov 2019	12	2	0	14
Dec 2019	12	9	1	22
Jan 2020	7	5	0	12
Feb 2020	8	6	0	14
Mar 2020	6	11	0	17
Apr 2020	15	7	0	22
May 2020	10	5	1	16
Jun 2020	35	9	1	45
Jul 2020	57	49	40	146
Aug 2020	5	2	3	10
Sep 2020	12	6	0	18
Oct 2020	7	4	0	11
Nov 2020	4	8	0	12
Dec 2020	8	6	0	14
Jan 2021	11	7	0	18
Feb 2021	11	6	0	17
Mar 2021	6	3	0	9
Apr 2021	3	6	0	9
May 2021	5	2	0	7
Jun 2021	4	5	0	9
Jul 2021	6	7	0	13
Aug 2021	7	4	0	11
Sep 2021	5	8	0	13
Oct 2021	6	18	1	25
Nov 2021	8	11	0	19
Dec 2021	6	2	0	8
Jan 2022	7	6	1	14
Feb 2022	7	3	0	10
Mar 2022	6	6	2	14
Apr 2022	4	3	1	8
May 2022	11	7	0	18
Jun 2022	1	1	0	2
Jul 2022	6	2	0	8
Aug 2022	3	5	0	8
Sep 2022	5	2	0	7
Oct 2022	9	2	1	12
Nov 2022	7	5	0	12
Dec 2022	10	6	0	16
Jan 2023	6	5	0	11
Feb 2023	7	3	0	10
Mar 2023	7	1	0	8
Apr 2023	7	3	0	10
May 2023	4	5	0	9
Jun 2023	9	6	2	17
Jul 2023	2	1	0	3
Aug 2023	3	4	0	7
Sep 2023	21	6	2	29
Oct 2023	26	3	0	29
Nov 2023	9	1	10
Dec 2023	8	1	1	10
Jan 2024	8	2	2	12
Feb 2024	4	3	0	7
Mar 2024	11	8	2	21
Apr 2024	21	4	5	30
May 2024	14	4	1	19
Jun 2024	11	2	2	15
Jul 2024	10	5	4	19
Aug 2024	24	6	2	32
Sep 2024	12	6	3	21
Oct 2024	9	5	3	17
Nov 2024	19	15	2	36
Dec 2024	3	5	3	11
Jan 2025	7	14	1	22
Feb 2025	20	7	1	28
Mar 2025	10	6	1	17
Apr 2025	7	8	1	16
May 2025	12	7	1	20
Jun 2025	22	7	1	30
Jul 2025	10	11	0	21
Aug 2025	27	9	1	37
Sep 2025	72	14	5	91
Oct 2025	33	14	4	51
Nov 2025	39	11	2	52
Dec 2025	20	13	3	36
Jan 2026	33	11	6	50
Feb 2026	25	5	6	36
Mar 2026	26	10	2	38
Apr 2026	5	3	0	8

Latest update: 10 Apr 2026

Short summary

A approach for non-stationary hydrological frequency analysis is proposed. In this method, an assumption is done that the variation hydrological series in a big time window owns an expected vibration center (EVC), which is a linear combination of the two mean values of the two subsample series. Then using the EVC to reconstruct non-stationary series to meet the requirement of stationary.