Predictive understanding of socioeconomic flood impact in data-scarce regions based on channel properties and storm characteristics: application in High Mountain Asia (HMA)

Khanam, Mariam; Sofia, Giulia; Rodriguez, Wilmalis; Nikolopoulos, Efthymios I.; Lu, Binghao; Song, Dongjin; Anagnostou, Emmanouil N.

doi:https://doi.org/10.5194/nhess-25-3759-2025

Articles | Volume 25, issue 10

https://doi.org/10.5194/nhess-25-3759-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Hydro-meteorological extremes and hazards: vulnerability,...

https://doi.org/10.5194/nhess-25-3759-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 10

Research article

|

06 Oct 2025

Research article |

| 06 Oct 2025

Predictive understanding of socioeconomic flood impact in data-scarce regions based on channel properties and storm characteristics: application in High Mountain Asia (HMA)

Mariam Khanam, Giulia Sofia, Wilmalis Rodriguez, Efthymios I. Nikolopoulos, Binghao Lu, Dongjin Song, and Emmanouil N. Anagnostou

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Views and downloads (calculated since 08 Aug 2023)

Month	HTML	PDF	XML	Total
Aug 2023	160	40	6	206
Sep 2023	59	23	2	84
Oct 2023	31	11	2	44
Nov 2023	18	6	0	24
Dec 2023	16	8	0	24
Jan 2024	47	12	0	59
Feb 2024	60	16	7	83
Mar 2024	42	26	5	73
Apr 2024	36	16	8	60
May 2024	18	19	3	40
Jun 2024	26	14	2	42
Jul 2024	25	9	3	37
Aug 2024	20	4	4	28
Sep 2024	28	6	2	36
Oct 2024	32	8	1	41
Nov 2024	14	5	0	19
Dec 2024	23	12	1	36
Jan 2025	36	9	1	46
Feb 2025	55	13	0	68
Mar 2025	16	9	2	27
Apr 2025	10	9	0	19
May 2025	18	16	2	36
Jun 2025	28	15	1	44
Jul 2025	11	15	1	27
Aug 2025	48	35	1	84
Sep 2025	361	23	3	387
Oct 2025	280	70	7	357

Cumulative views and downloads (calculated since 08 Aug 2023)

Month	HTML	PDF	XML	Total
Aug 2023	160	40	6	206
Sep 2023	59	23	2	84
Oct 2023	31	11	2	44
Nov 2023	18	6	0	24
Dec 2023	16	8	0	24
Jan 2024	47	12	0	59
Feb 2024	60	16	7	83
Mar 2024	42	26	5	73
Apr 2024	36	16	8	60
May 2024	18	19	3	40
Jun 2024	26	14	2	42
Jul 2024	25	9	3	37
Aug 2024	20	4	4	28
Sep 2024	28	6	2	36
Oct 2024	32	8	1	41
Nov 2024	14	5	0	19
Dec 2024	23	12	1	36
Jan 2025	36	9	1	46
Feb 2025	55	13	0	68
Mar 2025	16	9	2	27
Apr 2025	10	9	0	19
May 2025	18	16	2	36
Jun 2025	28	15	1	44
Jul 2025	11	15	1	27
Aug 2025	48	35	1	84
Sep 2025	361	23	3	387
Oct 2025	280	70	7	357

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Total article views: 2,031 (including HTML, PDF, and XML) Thereof 1,964 with geography defined and 67 with unknown origin.

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1

1

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Latest update: 27 Oct 2025

Short summary

This study comprehends and predicts the socioeconomic effects of floods in the High Mountain Asia (HMA) region. We proposed a machine learning strategy for mapping socioeconomic flood damage. We predicted the life year index (LYI), which quantifies the financial cost and loss of life caused by floods, using variables including climate, geomorphology, and population. The study's overall goal is to offer useful information on flood susceptibility and subsequent risk mapping in the HMA region.

Predictive understanding of socioeconomic flood impact in data-scarce regions based on channel properties and storm characteristics: application in High Mountain Asia (HMA)

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1 citations as recorded by crossref.

1 citations as recorded by crossref.


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