A REVIEW ON SOIL EROSION AND SEDIMENT FINGERPRINTING STUDIES

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NOSRATI K.; AMINI M.

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Journal: NATURAL ECOSYSTEMS OF IRAN Year:2017 | Volume:7 | Issue:4 Page(s): 99-124

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Information Journal Paper

Title

A REVIEW ON SOIL EROSION AND SEDIMENT FINGERPRINTING STUDIES

Author(s)

NOSRATI K. | AMINI M. | Issue Writer Certificate

Keywords

FINGERPRINTING OF SEDIMENTQ1

MIXING MODELQ1

TRACERSQ1

SOIL EROSIONQ2

Abstract

Suspended sediments originated from nonpoint sources in the fluvial and the catchment which they are different on spatial and temporal scales. FINGERPRINTING OF SEDIMENT process focuses on the methods which researchers able to discriminate sediment sources using composite and extracted sediment and surface and subsurface of soil samples from nonpoint resources using TRACERS and MIXING MODELs. Using this method as a sediment and soil technique and as well as complementary of classic methods of water erosion to identifying of sediment sources, sediment delivery in the river at various spatial and temporal scale and estimation of SOIL EROSION using existing TRACERS in the soil and sediment has been increased in latest decades. This research is reviewing the comprehensive background of erosion and sediment studies, emphasis on the used techniques and methods, MIXING MODEL and utilities of various TRACERS in the erosion and sediment studies and various sampling methods in different studies, introduce the sediment fingerprinting in the world and Iran. This research introduces the new technologies (patents) in Iran which they are related to sediment and SOIL EROSION studies. The results of review research showed that cohesive studies of soil and sediment with regarding to new methodology started since 60th decade and continued large, medium, small scale basin, hillslope, plot and experimental scale with techniques such as radionuclide decay, earth rare element, magnetic properties of soils, other TRACERS and fingerprinting. Also the MIXING MODELs of Hughs, Landvehr, Slattery and motha, MixSIAR, Bayesian and Monte carlo were used in more researches related to fingerprinting and Hughs and Collins models are the best predictive one for replication in data and correct factor in its data respectively.

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APA: Copy

NOSRATI, K., & AMINI, M.. (2017). A REVIEW ON SOIL EROSION AND SEDIMENT FINGERPRINTING STUDIES. NATURAL ECOSYSTEMS OF IRAN, 7(4), 99-124. SID. https://sid.ir/paper/215221/en

Vancouver: Copy

NOSRATI K., AMINI M.. A REVIEW ON SOIL EROSION AND SEDIMENT FINGERPRINTING STUDIES. NATURAL ECOSYSTEMS OF IRAN[Internet]. 2017;7(4):99-124. Available from: https://sid.ir/paper/215221/en

IEEE: Copy

K. NOSRATI, and M. AMINI, “A REVIEW ON SOIL EROSION AND SEDIMENT FINGERPRINTING STUDIES,” NATURAL ECOSYSTEMS OF IRAN, vol. 7, no. 4, pp. 99–124, 2017, [Online]. Available: https://sid.ir/paper/215221/en

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