Rainfall Interception in a Robinia pseudoacacia Forest Stand: Estimates Using Gash's Analytical Model

被引:17
作者
Wang, Li [1 ,2 ,3 ]
Zhang, Qingfeng [1 ]
Shao, Ming'an [2 ,3 ]
Wang, Quanjiu [2 ,3 ]
机构
[1] Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
[2] Chinese Acad Sci, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
[3] Minist Water Resources, Yangling 712100, Shaanxi, Peoples R China
关键词
Interception loss; Gross rainfall; Throughfall; Robinia pseudoacacia forest; Mean evaporation rate; Canopy storage capacity; WATER-BALANCE; VARIABILITY; EVAPORATION; CANOPY;
D O I
10.1061/(ASCE)HE.1943-5584.0000640
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The authors have studied the principal components of rainfall interception loss in a planted forest stand of Robinia pseudoacacia on the Loess Plateau. The purpose was to provide new information about the applicability of the original Gash analytical model to a new geographic location and to one of the primary species being used in the region's reforestation program. The authors estimated forest structure parameters, including the mean evaporation rate, canopy storage capacity at saturation, free throughfall coefficient, rainfall fraction diverted to the trunks, and trunk storage capacity by using the intercepts and slopes obtained from regression analyses of the measured interception loss, throughfall, and stemflow versus gross rainfall. The interception and components of interception loss for trees in a Robinia pseudoacacia forest located on a south-facing slope were calculated using Gash's analytical model. The total estimated interception loss during the period of observation was 10.8% greater than that calculated on the basis of measurements of the gross rainfall, throughfall, and stemflow. The good agreement between the estimated and measured values indicates that Gash's analytical model is suitable for estimating interception loss in forests on the Loess Plateau of China. DOI:10.1061/(ASCE)HE.1943-5584.0000640. (C) 2013 American Society of Civil Engineers.
引用
收藏
页码:474 / 479
页数:6
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Uddin, Md. Jalal ;
Li, Yubin ;
Tamim, Md. Yahya ;
Miah, Md. Babul ;
Ahmed, S. M. Shahriar .
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[42]   Improving the potential accuracy and usability of EURO-CORDEX estimates of future rainfall climate using frequentist model averaging [J].
Jewson, Stephen ;
Barbato, Giuliana ;
Mercogliano, Paola ;
Mysiak, Jaroslav ;
Sassi, Maximiliano .
NONLINEAR PROCESSES IN GEOPHYSICS, 2021, 28 (03) :329-346
[43]   Optimization of X-Band Radar Rainfall Retrieval in the Southern Andes of Ecuador Using a Random Forest Model [J].
Orellana-Alvear, Johanna ;
Celleri, Rolando ;
Rollenbeck, Ruetger ;
Bendix, Joerg .
REMOTE SENSING, 2019, 11 (14)
[44]   Quantitative Assessment of Operational Weather Radar Rainfall Estimates over California's Northern Sonoma County Using HMT-West Data [J].
Matrosov, Sergey Y. ;
Ralph, F. Martin ;
Neiman, Paul J. ;
White, Allen B. .
JOURNAL OF HYDROMETEOROLOGY, 2014, 15 (01) :393-410
[45]   A Novel Interannual Rainfall Runoff Equation Derived from Ol'Dekop's Model Using Artificial Neural Networks [J].
Mimeche, Omar ;
Aieb, Amir ;
Liotta, Antonio ;
Madani, Khodir .
SENSORS, 2022, 22 (12)
[46]   Analysis and prediction of rainfall trends over Bangladesh using Mann-Kendall, Spearman's rho tests and ARIMA model [J].
Rahman, Mohammad Atiqur ;
Lou Yunsheng ;
Sultana, Nahid .
METEOROLOGY AND ATMOSPHERIC PHYSICS, 2017, 129 (04) :409-424