Simulation of Gash Model to Rainfall Interception of Pinus tabulaeformis

Wenjun Liang

Abstract


Aim of study: In order to test the adaptability of revised Gash analytical model to canopy interception of Pinus tabulaeformis plantation, determine local parameters in the model, and analyze the sensitivity of the parameters to the simulated interception.

Area of study: The throughfall experiment has been completed in Hebei province of China during 2010.

Material and methods: During the experiment process, rainfall,throughfall and stemflow were measured and canopy interception was simulated with the revised Gash analytical model.

Main results: The results show that the rate of measured throughfall, stem flow and canopy interception occupied to rainfall were 67.08%, 3.10% and 29.82%. Canopy storage capacity, stem storage capacity and Stemflow partitioning coefficient was 2.68 mm, 1.22mm and 0.03. Evaporation rate varied from 0.01 to 0.37 mm•h-1 and the ratio of evaporation and rainfall (E/R) ranged from 0.01 to 0.19 in rainfall periods.

Research highlights: The revised gash model was able to accurately simulate the weekly canopy interception of Pinus tabulaeformis forest.

Key words: Gash analytical model; Throughfall; Canopy interception; Pinus tabulaeformis plantation.


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References


Allen R G, Peteira L S, Raes D, Smith M, 1998. Crop evapotraspiration guide lines for computing crop water requirements. FAO Irrigation and Drainage Paper 56, Rome: FAO.

Carlyle-Moses D E., Price A G, 1999. An evaluation of the Gash interception model in a northern hardwood stand. Journal of Hydrology 214 (1-4), 103-110. http://dx.doi.org/10.1016/S0022-1694(98)00274-1

Deguchi A, Hattori S, Park HT, 2006. The influence of seasonal changes in canopy structure on interception loss: application of the revised Gash model. Journal of Hydrology 318 (1-4), 80-102. http://dx.doi.org/10.1016/j.jhydrol.2005.06.005

Ford E D, Deans J D, 1978. The effects of canopy structure on stemflow, throughfall and interception loss in a young Sitka spruce plantation. J. Appl. Ecol 15, 905-917. http://dx.doi.org/10.2307/2402786

Gash JHC, Lloyd C R, Lachaud G, 1995. Estimating sparse forest rainfall interception with an analytical model. Journal of Hydrology 170 (1-4), 79-86. http://dx.doi.org/10.1016/0022-1694(95)02697-N

Gash JHC, 1979. An analytical model of rainfall interception by forests. Quart. J. R. Met. SOC 105, pp. 43~55. http://dx.doi.org/10.1002/qj.49710544304

Gash JHC, Stewart JB, 1977. The evaporation from Thetford forest during 1975. J. Hydrol 35, 385-396. http://dx.doi.org/10.1016/0022-1694(77)90014-2

Gash JHC, Wright IR, Lloyd CR, 1980. Comparative estimates of interception loss from three coniferous forests in Great Britain. J. Hydrol 48, 89-105. http://dx.doi.org/10.1016/0022-1694(80)90068-2

Hörmann G, Branding A, Clemen T, Herbst M, Hinrichs A, Tamm F, 1996. Calculation and simulation of wind controlled canopy interception of a beech forest in Northern Germany. Agric. For. Met 79, 131-148. http://dx.doi.org/10.1016/0168-1923(95)02275-9

Hutjes RWA, Wierda A, Veen AWL, 1990. Rainfall interception in the Tai Forest, Ivory Coast: application of two simulation models to a humid tropical system. J. Hydrol 114, 259-275. http://dx.doi.org/10.1016/0022-1694(90)90060-B

Jetten VG, 1996. Interception of tropical rainforest: performance of a canopy water balance model. Hydrol. Proc. 10, 671-685. http://dx.doi.org/10.1002/(SICI)1099-1085(199605)10:5%3C671::AID-HYP310%3E3.3.CO;2-1

Johnson R C, 1990. The interception, throughfall and stemflow in a forest in highland Scotland and the comparison with other upland forests in the UK. J. Hydrol 118, 281-287. http://dx.doi.org/10.1016/0022-1694(90)90263-W

Kelliher FM, Whitehead D, Pollock DS, 1992. Rainfall interception by trees and slash in a young Pinus adiate D. Don stand. J. Hydrol 131, 187-204. http://dx.doi.org/10.1016/0022-1694(92)90217-J

Limousin JM, Rambal S, Ourcival JM, Joffre R, 2008. Modeling rainfall interception in a Mediterranean Quercus ilex ecosystem:Lesson from a throughfall exclusion experiment. Journal of Hydrology 357, 57-66. http://dx.doi.org/10.1016/j.jhydrol.2008.05.001

Link T E, Unsworth M, Marks D, 2004. The dynamics of rain fall interception by a seasonal temperate rain forest. Agricultural and Forest Meteorology124: 171-191. http://dx.doi.org/10.1016/j.agrformet.2004.01.010

Rutter AJ, Kershaw KA, Robins PC, Morton AJ, 1972. Predictive model of rainfall interception in forests. 1. Derivation of the model from observations in a plantation of Corsican pine. Agric. Met 9, 367-384. http://dx.doi.org/10.1016/0002-1571(71)90034-3

Valente F, David JS, Gash JHC, 1997. Modelling interception loss for two sparse eucalypt and pine forests in central Portugal using reformulated Rutter and Gash analytical models. J. Hydrol 190:141-162. http://dx.doi.org/10.1016/S0022-1694(96)03066-1

Viville D, Biron P, Granier A, Dambrine E, Probst A, 1993. Interception in a mountainous declining spruce stand in the Strengbach catchment (Vosges, France). J. Hydrol. 144, 273-282. http://dx.doi.org/10.1016/0022-1694(93)90175-9




DOI: 10.5424/fs/2014232-03410

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