Variable spatio-temporal source contributions during storm hydrographs revealed by composite fingerprinting

Study Region: The Kasilian watershed with an area of 67.22 km2 is located in the eastern part of Mazandaran province. Study Focus: This study investigated the spatio-temporal variations in sediment sources during rainfall events. For this purpose, source samples were collected from various land uses...

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Main Authors: Fatemeh Akbari Emamzadeh, Abdulvahed Khaledi Darvishan, Mehdi Vafakhah, Kazem Nosrati, Adrian L. Collins
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:Journal of Hydrology: Regional Studies
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Online Access:http://www.sciencedirect.com/science/article/pii/S2214581825004914
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author Fatemeh Akbari Emamzadeh
Abdulvahed Khaledi Darvishan
Mehdi Vafakhah
Kazem Nosrati
Adrian L. Collins
author_facet Fatemeh Akbari Emamzadeh
Abdulvahed Khaledi Darvishan
Mehdi Vafakhah
Kazem Nosrati
Adrian L. Collins
author_sort Fatemeh Akbari Emamzadeh
collection DOAJ
description Study Region: The Kasilian watershed with an area of 67.22 km2 is located in the eastern part of Mazandaran province. Study Focus: This study investigated the spatio-temporal variations in sediment sources during rainfall events. For this purpose, source samples were collected from various land uses, including rangeland, natural forest, hand-planted forest, and agriculture, as well as from the river bed. Suspended sediment sampling was conducted at 60-minute intervals during three rainfall events at two monitoring stations: MS1 (mid-watershed) and MS2 (watershed outlet). The concentration of 59 geochemical elements in source and sediment samples was measured, and composite fingerprints were selected using statistical tests in the FingerPro package in R software. New Hydrological Insights for the Region: The study found that the contributions of rangelands, natural forests, hand-planted forests, and the river bed at MS1 were 46 %, 24 %, 19 %, and 11 %, respectively, while at MS2, the contributions were 72 %, 7 %, 4 %, 14 %, and 3 % for agricultural lands. Additionally, intra-event variations showed that at MS1, rangelands contributed the most at the hydrograph peak, whereas during the rising and falling limbs, both rangelands and natural forests were dominant. At MS2, rangelands had the highest contribution throughout all hydrograph phases. These findings provide valuable information for managers in developing management programs.
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spelling doaj-art-7a0697d52d65470c9e45953c67888fe82025-08-20T03:42:03ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-10-016110266210.1016/j.ejrh.2025.102662Variable spatio-temporal source contributions during storm hydrographs revealed by composite fingerprintingFatemeh Akbari Emamzadeh0Abdulvahed Khaledi Darvishan1Mehdi Vafakhah2Kazem Nosrati3Adrian L. Collins4Department of Watershed Management, Faculty of Natural Resources, Tarbiat Modares University, Noor, IranDepartment of Watershed Management, Faculty of Natural Resources, Tarbiat Modares University, Noor, Iran; Corresponding author.Department of Watershed Management, Faculty of Natural Resources, Tarbiat Modares University, Noor, IranDepartment of Physical Geography, School of Earth Sciences, Shahid Beheshti University, Tehran, IranNet Zero and Resilient Farming, Rothamsted Research, North Wyke, Okehampton EX20 2SB, UKStudy Region: The Kasilian watershed with an area of 67.22 km2 is located in the eastern part of Mazandaran province. Study Focus: This study investigated the spatio-temporal variations in sediment sources during rainfall events. For this purpose, source samples were collected from various land uses, including rangeland, natural forest, hand-planted forest, and agriculture, as well as from the river bed. Suspended sediment sampling was conducted at 60-minute intervals during three rainfall events at two monitoring stations: MS1 (mid-watershed) and MS2 (watershed outlet). The concentration of 59 geochemical elements in source and sediment samples was measured, and composite fingerprints were selected using statistical tests in the FingerPro package in R software. New Hydrological Insights for the Region: The study found that the contributions of rangelands, natural forests, hand-planted forests, and the river bed at MS1 were 46 %, 24 %, 19 %, and 11 %, respectively, while at MS2, the contributions were 72 %, 7 %, 4 %, 14 %, and 3 % for agricultural lands. Additionally, intra-event variations showed that at MS1, rangelands contributed the most at the hydrograph peak, whereas during the rising and falling limbs, both rangelands and natural forests were dominant. At MS2, rangelands had the highest contribution throughout all hydrograph phases. These findings provide valuable information for managers in developing management programs.http://www.sciencedirect.com/science/article/pii/S2214581825004914Flood hydrographsGeochemical tracersSediment tracingSoil erosion
spellingShingle Fatemeh Akbari Emamzadeh
Abdulvahed Khaledi Darvishan
Mehdi Vafakhah
Kazem Nosrati
Adrian L. Collins
Variable spatio-temporal source contributions during storm hydrographs revealed by composite fingerprinting
Journal of Hydrology: Regional Studies
Flood hydrographs
Geochemical tracers
Sediment tracing
Soil erosion
title Variable spatio-temporal source contributions during storm hydrographs revealed by composite fingerprinting
title_full Variable spatio-temporal source contributions during storm hydrographs revealed by composite fingerprinting
title_fullStr Variable spatio-temporal source contributions during storm hydrographs revealed by composite fingerprinting
title_full_unstemmed Variable spatio-temporal source contributions during storm hydrographs revealed by composite fingerprinting
title_short Variable spatio-temporal source contributions during storm hydrographs revealed by composite fingerprinting
title_sort variable spatio temporal source contributions during storm hydrographs revealed by composite fingerprinting
topic Flood hydrographs
Geochemical tracers
Sediment tracing
Soil erosion
url http://www.sciencedirect.com/science/article/pii/S2214581825004914
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