73
The Author(s), under exclusive license to Springer Nature Switzerland
AG 2021
E. Duulatov et al., Current and Future Trends of Rainfall Erosivity and Soil
Erosion in Central Asia, SpringerBriefs in Environmental Science,
https://doi.org/10.1007/978-3-030-63509-1
References
Aizen VB, Kuzmichenok VA, Surazakov AB, Aizen EM (2007) Glacier changes in the Tien Shan
as determined from topographic and remotely sensed data. Glob Planet Chang 56:328–340
Alamanov S, Lelevkin V, Podrezov O, Podrezov A (2006) Climate changes and water problems in
Central Asia. United Nations Environment Program (UNEP) and World Wildlife Fund (WWF),
Moscow-Bishkek (in Russian)
Alewell C, Borrelli P, Meusburger K, Panagos P (2019) Using the USLE: Chances, challenges
and limitations of soil erosion modelling. Int Soil Water Conser Res 7:203–225. https://doi.
org/10.1016/j.iswcr.2019.05.004
Almagro A, Oliveira PTS, Nearing MA, Hagemann S (2017) Projected climate change impacts
in rainfall erosivity over Brazil. Sci Rep 7:8130. https://doi.org/10.1038/s41598- 017- 08298- y
Almagro A, Thomé TC, Colman CB, Pereira RB, Marcato Junior J, Rodrigues DBB, Oliveira
PTS (2019) Improving cover and management factor (C-factor) estimation using remote
sensing approaches for tropical regions. Int Soil Water Conser Res 7:325–334. https://doi.
org/10.1016/j.iswcr.2019.08.005
Amanambu AC, Li L, Egbinola CN, Obarein OA, Mupenzi C, Chen D (2019) Spatio-temporal
variation in rainfall-runoff erosivity due to climate change in the Lower Niger Basin, West
Africa. CATENA 172:324–334
Angulo-Martínez M, Beguería S (2009) Estimating rainfall erosivity from daily precipitation
records: A comparison among methods using data from the Ebro Basin (NE Spain). J Hydrol
379:111–121
Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and
assessment part I: model development. JAWRA J Am Water Res Assoc 34:73–89
Arnoldus H (1977) Methodology used to determine the maximum potential average annual soil
loss due to sheet and rill erosion in Morocco. FAO Soil Bull
Arnoldus H (1980) An approximation of the rainfall factor in the Universal Soil Loss Equation. In:
De Boodt M, Gabriels D (eds) Assessment of Erosion. Wiley, New York, pp 127–132
Batjes N (1997) Methodological framework for assessment and mapping of the vulnerability of
soils to diffuse pollution at a continental level (SOVEUR project). International Soil Reference
and Information Centre, Wageningen
Beasley D, Huggins L, Monke A (1980) ANSWERS: A model for watershed planning. Trans
ASAE 23:938–0944
Benavidez R, Jackson B, Maxwell D, Norton K (2018) A review of the (Revised) Universal Soil
Loss Equation ((R) USLE): with a view to increasing its global applicability and improving soil
loss estimates. Hydrol Earth Syst Sci 22:6059–6086
The Author(s), under exclusive license to Springer Nature Switzerland
AG 2021
E. Duulatov et al., Current and Future Trends of Rainfall Erosivity and Soil
Erosion in Central Asia, SpringerBriefs in Environmental Science,
https://doi.org/10.1007/978-3-030-63509-1
References
Aizen VB, Kuzmichenok VA, Surazakov AB, Aizen EM (2007) Glacier changes in the Tien Shan
as determined from topographic and remotely sensed data. Glob Planet Chang 56:328–340
Alamanov S, Lelevkin V, Podrezov O, Podrezov A (2006) Climate changes and water problems in
Central Asia. United Nations Environment Program (UNEP) and World Wildlife Fund (WWF),
Moscow-Bishkek (in Russian)
Alewell C, Borrelli P, Meusburger K, Panagos P (2019) Using the USLE: Chances, challenges
and limitations of soil erosion modelling. Int Soil Water Conser Res 7:203–225. https://doi.
org/10.1016/j.iswcr.2019.05.004
Almagro A, Oliveira PTS, Nearing MA, Hagemann S (2017) Projected climate change impacts
in rainfall erosivity over Brazil. Sci Rep 7:8130. https://doi.org/10.1038/s41598- 017- 08298- y
Almagro A, Thomé TC, Colman CB, Pereira RB, Marcato Junior J, Rodrigues DBB, Oliveira
PTS (2019) Improving cover and management factor (C-factor) estimation using remote
sensing approaches for tropical regions. Int Soil Water Conser Res 7:325–334. https://doi.
org/10.1016/j.iswcr.2019.08.005
Amanambu AC, Li L, Egbinola CN, Obarein OA, Mupenzi C, Chen D (2019) Spatio-temporal
variation in rainfall-runoff erosivity due to climate change in the Lower Niger Basin, West
Africa. CATENA 172:324–334
Angulo-Martínez M, Beguería S (2009) Estimating rainfall erosivity from daily precipitation
records: A comparison among methods using data from the Ebro Basin (NE Spain). J Hydrol
379:111–121
Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and
assessment part I: model development. JAWRA J Am Water Res Assoc 34:73–89
Arnoldus H (1977) Methodology used to determine the maximum potential average annual soil
loss due to sheet and rill erosion in Morocco. FAO Soil Bull
Arnoldus H (1980) An approximation of the rainfall factor in the Universal Soil Loss Equation. In:
De Boodt M, Gabriels D (eds) Assessment of Erosion. Wiley, New York, pp 127–132
Batjes N (1997) Methodological framework for assessment and mapping of the vulnerability of
soils to diffuse pollution at a continental level (SOVEUR project). International Soil Reference
and Information Centre, Wageningen
Beasley D, Huggins L, Monke A (1980) ANSWERS: A model for watershed planning. Trans
ASAE 23:938–0944
Benavidez R, Jackson B, Maxwell D, Norton K (2018) A review of the (Revised) Universal Soil
Loss Equation ((R) USLE): with a view to increasing its global applicability and improving soil
loss estimates. Hydrol Earth Syst Sci 22:6059–6086