Form of presentation | Articles in international journals and collections |
Year of publication | 2016 |
Язык | английский |
|
Golosov Valentin Nikolaevich, author
Dvinskikh Aleksandr Petrovich, author
Ermolaev Oleg Petrovich, author
|
Bibliographic description in the original language |
Vanmaercke, M., Poesen, J., Van Mele, B., Demuzere, M., Bruynseels, A., Golosov, V., Fernando, J., Bezerra, R., Bolysov, S., Dvinskih, A., Frankl, A., Fuseina, Y., Guerra, A., Haregeweyn, N., Ionita I., Imwangana, F., Moeyersons, J., Moshe, I., Samani, A., Niacsu, L., Nyssen, J., Otsuki, Y., Radoane, M., Rysin, I., Ryzhov, Y., Yermolaev, O. (2016). How fast do gully headcuts retreat? Earth Science Reviews.154, 336–355. http://dx.doi.org/10.1016/j.earscirev.2016.01.009. |
Annotation |
Gully erosion has important on and off site effects. Therefore, several studies have been conducted over the past
decades to quantify gully headcut retreat (GHR) in different environments. Although these led to important
site-specific and regional insights, the overall importance of this erosion process or the factors that control it at a
global scale remain poorly understood. This study aims to bridge this gap by reviewing research on GHR and
conducting a meta-analysis of measured GHR rates worldwide. Through an extensive literature review, GHR
rates for 933 individual and actively retreating gullies have been compiled from more than 70 study areas world-
wide (comprising a total measuring period of N19 600 years). Each GHR rate was measured through repeated field
surveys and/or analyses of aerial photographs over a period of at least one year (maximum: 97 years, median:
17 years). The data show a very large variability, both in terms of gully dimensions (cross-sectional areas ranging
between 0.11 and 816 m
2
with a median of 4 m
2
) and volumetric GHR rates (ranging between 0.002 and 47
430 m
3
year
−1
with a median of 2.2 m
3
year
−1
). Linear GHR rates vary between 0.01 and 135 m year
−1
(median:
0.89 m year
−1
), while areal GHR rates vary between 0.01 and 3628 m
2
year
−1
(median: 3.12 m
2
year
−1
). An em-
pirical relationship allows estimating volumetric retreat rates from areal retreat rates with acceptable uncer-
tainties. By means of statistical analyses for a subset of 724 gullies with a known contributing area, we explored
the factors most relevant in explaining the observed 7 orders of magnitudes of variation in volumetric GHR
rates. Results show that measured GHR rates are significantly correlated to the runoff contributing area of the
gully (r
2
= 0.15) and the rainy day normal (RDN; i.e. the long-term average annual rainfall depth divided by
the average number of rainy days; r
2
= 0.47). Other factors (e.g. land use or soil type) showed no significant cor-
relation with the observed GHR rates. This may be attributed to the uncertainties associated with accurately quan-
tifying these factors. In addition, available time series data demonstrate that GHR rates are subject to very large
year-to-year variations. As a result, average GHR rates measured over short (b5 year) measuring periods may be
subject to very large (N100%) uncertainties. We integrated our findings into a weighted regression model that sim-
ulates the volumetric retreat rate of a gully headcut as a function of upstream drainage area and RDN. |
Keywords |
Gully erosion
Data compilation
Global analysis
Model
Climatic impact
Temporal variability |
The name of the journal |
EARTH-SCIENCE REVIEWS
|
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=134645&p_lang=2 |
Resource files | |
|
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Golosov Valentin Nikolaevich |
ru_RU |
dc.contributor.author |
Dvinskikh Aleksandr Petrovich |
ru_RU |
dc.contributor.author |
Ermolaev Oleg Petrovich |
ru_RU |
dc.date.accessioned |
2016-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2016-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2016 |
ru_RU |
dc.identifier.citation |
Vanmaercke, M., Poesen, J., Van Mele, B., Demuzere, M., Bruynseels, A., Golosov, V., Fernando, J., Bezerra, R., Bolysov, S., Dvinskih, A., Frankl, A., Fuseina, Y., Guerra, A., Haregeweyn, N., Ionita I., Imwangana, F., Moeyersons, J., Moshe, I., Samani, A., Niacsu, L., Nyssen, J., Otsuki, Y., Radoane, M., Rysin, I., Ryzhov, Y., Yermolaev, O. (2016). How fast do gully headcuts retreat? Earth Science Reviews.154, 336–355. http://dx.doi.org/10.1016/j.earscirev.2016.01.009. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=134645&p_lang=2 |
ru_RU |
dc.description.abstract |
EARTH-SCIENCE REVIEWS |
ru_RU |
dc.description.abstract |
Gully erosion has important on and off site effects. Therefore, several studies have been conducted over the past
decades to quantify gully headcut retreat (GHR) in different environments. Although these led to important
site-specific and regional insights, the overall importance of this erosion process or the factors that control it at a
global scale remain poorly understood. This study aims to bridge this gap by reviewing research on GHR and
conducting a meta-analysis of measured GHR rates worldwide. Through an extensive literature review, GHR
rates for 933 individual and actively retreating gullies have been compiled from more than 70 study areas world-
wide (comprising a total measuring period of N19 600 years). Each GHR rate was measured through repeated field
surveys and/or analyses of aerial photographs over a period of at least one year (maximum: 97 years, median:
17 years). The data show a very large variability, both in terms of gully dimensions (cross-sectional areas ranging
between 0.11 and 816 m
2
with a median of 4 m
2
) and volumetric GHR rates (ranging between 0.002 and 47
430 m
3
year
−1
with a median of 2.2 m
3
year
−1
). Linear GHR rates vary between 0.01 and 135 m year
−1
(median:
0.89 m year
−1
), while areal GHR rates vary between 0.01 and 3628 m
2
year
−1
(median: 3.12 m
2
year
−1
). An em-
pirical relationship allows estimating volumetric retreat rates from areal retreat rates with acceptable uncer-
tainties. By means of statistical analyses for a subset of 724 gullies with a known contributing area, we explored
the factors most relevant in explaining the observed 7 orders of magnitudes of variation in volumetric GHR
rates. Results show that measured GHR rates are significantly correlated to the runoff contributing area of the
gully (r
2
= 0.15) and the rainy day normal (RDN; i.e. the long-term average annual rainfall depth divided by
the average number of rainy days; r
2
= 0.47). Other factors (e.g. land use or soil type) showed no significant cor-
relation with the observed GHR rates. This may be attributed to the uncertainties associated with accurately quan-
tifying these factors. In addition, available time series data demonstrate that GHR rates are subject to very large
year-to-year variations. As a result, average GHR rates measured over short (b5 year) measuring periods may be
subject to very large (N100%) uncertainties. We integrated our findings into a weighted regression model that sim-
ulates the volumetric retreat rate of a gully headcut as a function of upstream drainage area and RDN. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
|
ru_RU |
dc.title |
How fast do gully headcuts retreat? |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
|