The effect of vegetation canopy on canopy storage capacity with different rainfall intensity

A.M. Nur Syahida; A.B. Azinoor Azida

doi:10.1051/matecconf/201825004001

All issues

Volume 250 (2018)

MATEC Web Conf., 250 (2018) 04001

References

Open Access

Issue		MATEC Web Conf. Volume 250, 2018 The 12^th International Civil Engineering Post Graduate Conference (SEPKA) – The 3^rd International Symposium on Expertise of Engineering Design (ISEED) (SEPKA-ISEED 2018)


Article Number		04001
Number of page(s)		9
Section		Hydraulic and Hydrology Engineering
DOI		https://doi.org/10.1051/matecconf/201825004001
Published online		11 December 2018

C.T. Tsiko, H. Makurira, A.M.J. Gerrits, H.H.G. Savenije. Measuring Forest Floor and Canopy Interception in Savannah Ecosystem. Phy & Chemistry of the Earth (47-48), 122-127. (2012) [CrossRef] [Google Scholar]
C.B. Zou, G.L. Caterina, R.E. Will, E. Stebler, D. Turton. Canopy Interception for a Tallgrass Prairie under Juniper Encroahment. Plos One (10), 1-19. (2015) [Google Scholar]
H.H. Bulcock, and G.P.W. Jewitt. Spatial Mapping of Leaf Area Index Using Hyperspectral Remote Sensing for Hydrological Applications with a Particular Focus on Canopy Interception. Hyd & Earth Sys Sci (14), 383-392. (2010) [CrossRef] [Google Scholar]
F. André, J. Mathieu, Q. Ponette. Precipitation Water Storage Capacity in a Temperate Mixed Oak-beech Canopy. Hydrol Process (22), 4130-4141 (2008) [CrossRef] [Google Scholar]
T. Kume, O.J. Manfori, I.K. Kuraj, N. Tanaka, T. Horiuchi, M. Suzuki, T. Kumagai. Estimation of Water Canopy Storage Capacity from Sap Flow Measurements in a Bornean Tropical Rainforest. J Hydrol (352), 288-295. (2008) [CrossRef] [Google Scholar]
C. Véliz-Chávez, C.A. Mastachi-Loza, E. González-Sosa, R. Becerril-Piña, N.M. Ramos-Salinas. Canopy Storage Implications on Interception Loss Modeling. American J of Plant Sci (5), 3032-3048. (2014) [CrossRef] [Google Scholar]
O. Fathizadeh, P. Attarod, T.G. Pypker, A.A Darvishsefat, G. Zahedi Amiri. Seasonal Variability of Rainfall Interception and Canopy Storage Capacity Measured under Individual Oak (Quercus brantii) Trees in Western Iran. J. of Agr Sci & Tech (15), 175-188. (2013) [Google Scholar]
P. Attarod, S.M.M. Sadeghi, T.G. Pypker, H. Bagheri, M. Bagheri, V. Bayramzadeh. Needle-Leaved Trees Impacts on Rainfall Interception and Canopy Storage Capacity in an Arid Environment. New Forest (46), 339-355. (2014) [Google Scholar]
Y. Zulkifli, S.Y. Cham, J.H. Chong. Throughfall, Stemflow and Interception Loss of Old Rubber Trees. J. Cvl. Eng.. 24-33. (2003) [Google Scholar]
Singh C.V. (2017, November 5). Money Plant (Scindapsus aureus) Benefits: Myth or Reality Retrieved from https://dengarden.com [Google Scholar]
British Standard, Methods of Test for Soils for Civil Engineering Purposes. BS 1377 [Google Scholar]
Kholler GHE20 Hydrology Apparatus Operation Manual [Google Scholar]
R.F. Keim, A.E. Skaugset, M. Weiler, M. Storage of Water on Vegetation under Simulated Rainfall of Varying Intensity. Adv of W. Resource (26), 974-986. (2006) [CrossRef] [Google Scholar]
Y. Schindler Wildhaber, D. Bänninger, K. Burri, C.H. Alewell. Evaluation and Application of a Portable Rainfall Simulator on Subalpine Grassland. Catena (91), 56-62. (2012) [CrossRef] [Google Scholar]
C. Mayerhofer, G. Meißl, K. Klebinder, B. Kohl, G. Markart. Comparison of The Results of a Small-Plot and a Large-Plot Rainfall Simulator – Effects of Land Use and Land Cover on Surface Runoff in Alpine Catchments. Catena (156), 184-196. (2017) [Google Scholar]
A.M.J. Gerrits. The Role of Interception in the Hydrological Cycle (Doctoral Thesis). Retrieved from uuid:7dd2523b-2169-4e7e-992c-365d2294d02e (2010) [Google Scholar]
Q. Xiao, E.G. McPherson, L. Ustin, M. Grismer, J. Simpson. Winter Rainfall Interception by Two Mature Open-Grown Trees In Davis, California. Hydro Processes (14), 763-784. (2000) [CrossRef] [Google Scholar]
H.T.T. Hanh. Using GIS and SWAT model to Assess Soil and Water Resource in Upstream Srepok Watershed, Dak Lak Province (Master’s thesis). (2010) [Google Scholar]
N.T.N. Quyen, N.D. Liem, N.K. Loi. Effect of Land Use Change on Water Discharge In Srepok Watershed, Central Highland, Viet Nam. International Soil and Water Conservation Research (2), 74-86. (2014) [CrossRef] [Google Scholar]
F.F Zhao, L. Zhang, Z.X. Xu. Effects of Vegetation Cover Change on Streamflow at a Range of Spatial Scales. 18th World IMACS/MODSIM Congress. 3591-3597. (2009) [Google Scholar]
X. Xu, K. Zhang, Y. Kong, J. Chen, B. Yu. Effectiveness Of Erosion Control Measures Along The Qinghai-Tibet Plateau Highway, Tibetan Plateau, China. Transportation Research, Part D: Transport and Environ., (11), 302–309. (2006) [CrossRef] [Google Scholar]
A. Wang, Y. Diao, T. Pei, C. Jin., J. Zhu. A Semi-Theoretical Model of Canopy Rainfall Interception for a Broadleaved Tree. Hydro Processes 21 (18), 2458-2463. (2007) [CrossRef] [Google Scholar]

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[1] C.T. Tsiko, H. Makurira, A.M.J. Gerrits, H.H.G. Savenije. Measuring Forest Floor and Canopy Interception in Savannah Ecosystem. Phy & Chemistry of the Earth (47-48), 122-127. (2012) [CrossRef] [Google Scholar]

[2] C.B. Zou, G.L. Caterina, R.E. Will, E. Stebler, D. Turton. Canopy Interception for a Tallgrass Prairie under Juniper Encroahment. Plos One (10), 1-19. (2015) [Google Scholar]

[3] H.H. Bulcock, and G.P.W. Jewitt. Spatial Mapping of Leaf Area Index Using Hyperspectral Remote Sensing for Hydrological Applications with a Particular Focus on Canopy Interception. Hyd & Earth Sys Sci (14), 383-392. (2010) [CrossRef] [Google Scholar]

[4] F. André, J. Mathieu, Q. Ponette. Precipitation Water Storage Capacity in a Temperate Mixed Oak-beech Canopy. Hydrol Process (22), 4130-4141 (2008) [CrossRef] [Google Scholar]

[5] T. Kume, O.J. Manfori, I.K. Kuraj, N. Tanaka, T. Horiuchi, M. Suzuki, T. Kumagai. Estimation of Water Canopy Storage Capacity from Sap Flow Measurements in a Bornean Tropical Rainforest. J Hydrol (352), 288-295. (2008) [CrossRef] [Google Scholar]

[6] C. Véliz-Chávez, C.A. Mastachi-Loza, E. González-Sosa, R. Becerril-Piña, N.M. Ramos-Salinas. Canopy Storage Implications on Interception Loss Modeling. American J of Plant Sci (5), 3032-3048. (2014) [CrossRef] [Google Scholar]

[7] O. Fathizadeh, P. Attarod, T.G. Pypker, A.A Darvishsefat, G. Zahedi Amiri. Seasonal Variability of Rainfall Interception and Canopy Storage Capacity Measured under Individual Oak (Quercus brantii) Trees in Western Iran. J. of Agr Sci & Tech (15), 175-188. (2013) [Google Scholar]

[8] P. Attarod, S.M.M. Sadeghi, T.G. Pypker, H. Bagheri, M. Bagheri, V. Bayramzadeh. Needle-Leaved Trees Impacts on Rainfall Interception and Canopy Storage Capacity in an Arid Environment. New Forest (46), 339-355. (2014) [Google Scholar]

[9] Y. Zulkifli, S.Y. Cham, J.H. Chong. Throughfall, Stemflow and Interception Loss of Old Rubber Trees. J. Cvl. Eng.. 24-33. (2003) [Google Scholar]

[10] Singh C.V. (2017, November 5). Money Plant (Scindapsus aureus) Benefits: Myth or Reality Retrieved from https://dengarden.com [Google Scholar]

[11] British Standard, Methods of Test for Soils for Civil Engineering Purposes. BS 1377 [Google Scholar]

[12] Kholler GHE20 Hydrology Apparatus Operation Manual [Google Scholar]

[13] R.F. Keim, A.E. Skaugset, M. Weiler, M. Storage of Water on Vegetation under Simulated Rainfall of Varying Intensity. Adv of W. Resource (26), 974-986. (2006) [CrossRef] [Google Scholar]

[14] Y. Schindler Wildhaber, D. Bänninger, K. Burri, C.H. Alewell. Evaluation and Application of a Portable Rainfall Simulator on Subalpine Grassland. Catena (91), 56-62. (2012) [CrossRef] [Google Scholar]

[15] C. Mayerhofer, G. Meißl, K. Klebinder, B. Kohl, G. Markart. Comparison of The Results of a Small-Plot and a Large-Plot Rainfall Simulator – Effects of Land Use and Land Cover on Surface Runoff in Alpine Catchments. Catena (156), 184-196. (2017) [Google Scholar]

[16] A.M.J. Gerrits. The Role of Interception in the Hydrological Cycle (Doctoral Thesis). Retrieved from uuid:7dd2523b-2169-4e7e-992c-365d2294d02e (2010) [Google Scholar]

[17] Q. Xiao, E.G. McPherson, L. Ustin, M. Grismer, J. Simpson. Winter Rainfall Interception by Two Mature Open-Grown Trees In Davis, California. Hydro Processes (14), 763-784. (2000) [CrossRef] [Google Scholar]

[18] H.T.T. Hanh. Using GIS and SWAT model to Assess Soil and Water Resource in Upstream Srepok Watershed, Dak Lak Province (Master’s thesis). (2010) [Google Scholar]

[19] N.T.N. Quyen, N.D. Liem, N.K. Loi. Effect of Land Use Change on Water Discharge In Srepok Watershed, Central Highland, Viet Nam. International Soil and Water Conservation Research (2), 74-86. (2014) [CrossRef] [Google Scholar]

[20] F.F Zhao, L. Zhang, Z.X. Xu. Effects of Vegetation Cover Change on Streamflow at a Range of Spatial Scales. 18th World IMACS/MODSIM Congress. 3591-3597. (2009) [Google Scholar]

[21] X. Xu, K. Zhang, Y. Kong, J. Chen, B. Yu. Effectiveness Of Erosion Control Measures Along The Qinghai-Tibet Plateau Highway, Tibetan Plateau, China. Transportation Research, Part D: Transport and Environ., (11), 302–309. (2006) [CrossRef] [Google Scholar]

[22] A. Wang, Y. Diao, T. Pei, C. Jin., J. Zhu. A Semi-Theoretical Model of Canopy Rainfall Interception for a Broadleaved Tree. Hydro Processes 21 (18), 2458-2463. (2007) [CrossRef] [Google Scholar]