Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-24T23:02:40.541Z Has data issue: false hasContentIssue false
  • English
  • Français

MODELLING CANOPY RESISTANCE FOR ESTIMATING LATENT HEAT FLUX AT A TEA FIELD IN SOUTH CHINA

Published online by Cambridge University Press:  06 June 2017

HAOFANG YAN ,
CHUAN ZHANG ,
GUANGJIE PENG ,
RANSFORD OPOKU DARKO  and
BIN CAI
HAOFANG YAN*
Affiliation:
Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhengjiang, 212013, China Department of Water Management, Delft University of Technology, Delft, 2600GA, Netherlands
CHUAN ZHANG*
Affiliation:
Department of Water Management, Delft University of Technology, Delft, 2600GA, Netherlands Institute of Agricultural engineering, Jiangsu University, Zhengjiang, 212013, China
GUANGJIE PENG
Affiliation:
Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhengjiang, 212013, China
RANSFORD OPOKU DARKO
Affiliation:
Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhengjiang, 212013, China
BIN CAI
Affiliation:
Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhengjiang, 212013, China
*
Corresponding authors. Email: [email protected], [email protected]
Corresponding authors. Email: [email protected], [email protected]
Get access Rights & Permissions [Opens in a new window]

Summary

Determination of canopy resistance (rc) is necessary for accurate estimating hourly latent heat flux (LET), using the Penman–Monteith (PM) model for tea crop. In this study, a non-linear relationship between rc and climatic resistance (r*) was obtained for tea plants based on micro-meteorological data and LET from the end of 2014 to the beginning of 2016 in southern China. The proposed rc model was integrated to the PM method and compared with measured LET using a Bowen ratio energy balance method. The root mean square error (RMSE) and the index of agreement (d) were calculated for assessing the accuracy of the proposed rc model. RMSE and d values for rc and LET were 167.4 s m−1 and 29.7 W m−2 and 0.93 and 0.99, respectively. As compared to data from a single season, the rc sub-model based on data from different seasons was more reliable for estimating LET of tea field when integrated to the PM model.

Type
Research Article
Information
Experimental Agriculture , Volume 54 , Issue 4 , August 2018 , pp. 563 - 576
Check for updates
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Allen, R. G., Pereira, L. S., Raes, D. and Smith, M. (1998). Crop evapotranspiration guidelines for computing crop water requirements. FAO irrigation and Drainage Paper 56, Rome, ItalyGoogle Scholar
Alves, I. and Pereira, L. S. (2000). Modeling surface resistance from climatic variables? Agricultural Water Management 42:371–385.CrossRefGoogle Scholar
Ding, R., Kang, S., Zhang, Y., Hao, X., Tong, L., Li, S. (2015). A dynamic surface conductance to predict crop water use from partial to full canopy cover. Agricultural Water Management 150:1–8.CrossRefGoogle Scholar
Brutsaert, W. (1982). Evaporation in the Atmosphere: Theory, History, and Application. Higham, Mass: D. Reidel.CrossRefGoogle Scholar
He, B., Oue, H. and Oki, T. (2009). Estimation of Hourly Evapotranspiration in arid region by a simple parameterization of canopy resistance. Journal of Agricultural Meteorology. 65 (1):39–46.CrossRefGoogle Scholar
Jensen, M. E., Burman, R. D. and Allen, R. G. (1990). Evapotranspiration and irrigation water requirements. ASCE Manuals and Reports on Engineering Practice 70. Reston, Va: ASCE.Google Scholar
Katerji, N. and Perrier, A. (1983). Mode´lisation de l'e´vapotranspiration re´elle d'une parcelle de luzerne: ro^le d'un coefficient cultural. Agronomie 3:513–521.CrossRefGoogle Scholar
Katerji, N. and Rana, G. (2006). Modelling evapotranspiration of six irrigated crops under Mediterranean climate conditions. Agricultural and Forest Meteorology 138:142–155.CrossRefGoogle Scholar
Katerji, N. and Rana, G. (2008). Crop Evapotranspiration Measurements and Estimation in the Mediterranean Region. Bari, Italy: INRA-CRA.Google Scholar
Katerji, N., Rana, G. and Fahed, S. (2011). Parameterizing canopy resistance using mechanistic and semi-empirical estimates of hourly evapotranspiration: critical evaluation for irrigated crops in the Mediterranean. Hydrological Processes 25:117–129.CrossRefGoogle Scholar
Kool, D., Agam, N., Lazarovitch, N., Heitman, J. L., Sauer, T. J., Ben-Gal, A. (2014). A review of approaches for evapotranspiration partitioning. Agricultural and Forest Meteorology 184:56–70.CrossRefGoogle Scholar
Lagos, L. O., Martin, D. L., Verma, S. B., Irmak, S., Irmak, A., Eisenhauer, D. and Suyker, A. (2013). Surface energy balance model of transpiration from variable canopy cover and evaporation from residue-covered or bare soil systems: model evaluation. Irrigation Science 31:135–150.CrossRefGoogle Scholar
Li, S., Hao, X., Du, T., Tong, L., Zhang, J. and Kang, S. (2014). A coupled surface resistance model to estimate crop evaptranspiration in arid region of northwest China. Hydrological Processes 28:2312–2323.CrossRefGoogle Scholar
Li, S., Zhang, L., Kang, S., Tong, L., Du, T., Hao, X. and Zhao, P. (2015). Comparison of several surface resistance models for estimating crop evapotranspiration over the entire growing season in arid regions. Agricultural and Forest Meteorology 208:1–15.CrossRefGoogle Scholar
Monteith, J. L. (1965). Evaporation and atmosphere. The state and movement of water in living organisms. Symposia of the Society for Experimental Biology. 19:205–234.Google Scholar
Monteith, J. L. (1973). Principles of Environmental Physics. London: Edward Arnold.Google Scholar
Ortega-Farias, S., Olioso, A., Antonioletti, R. and Brisson, N. (2004). Evaluation of the Penman–Monteith model for estimating soybean evapotranspiration. Irrigation Science 23:1–9.CrossRefGoogle Scholar
Perez, P. J., Lecina, S., Castellvi, F., Martinez-Cob, A. and Villalobos, F. J. (2006). A simple parameterization of bulk canopy resistance from climatic variables for estimating hourly evapotranspirtion. Hydrological Processes 20:515–532.CrossRefGoogle Scholar
Rana, G., Katerji, N., Ferrara, R. M. and Martinelli, N. (2011). An operational model to estimate hourly and daily crop evapotranspiration in hilly terrain: validation on wheat and oat crops. Theoretical and Applied Climatology 103:413–426.CrossRefGoogle Scholar
Rana, G., Katerji, N., Mastorilli, M., EI Moujabber, M. and Brisson, N. (1997). Validation of a model of actual evapotranspiration for water stresses soybeans. Agricultural and Forest Meteorology 86:215–224.CrossRefGoogle Scholar
Rana, G., Katerji, N., Mastrorilli, M. and EI Moujabber, M. (1994). Evapotranspiration and canopy resistance of grass in a Mediterranean region. Theoretical and Applied Climatology 50:61–71.CrossRefGoogle Scholar
Steduto, P., Todorovic, M., Caliandro, A. and Rubino, P. (2003). Daily reference evapotranspiration estimates by the Penman–Monteith equation in southern Italy. Constant vs. variable canopy resistance. Theoretical and Applied Climatology 74:217–225.CrossRefGoogle Scholar
Wight, J. R., Hanson, C. L. and Wright, J. L. (1993). Comparing Bowen ratio-energy balance systems for measuring ET. In Management of Irrigation and Drainage Systems, Integrated Perspectives, 953–960 (Eds Allen, R. G., Van Bavel, C. M. U.). New York: American Society of Civil Engineering.Google Scholar
Yan, H. and Oue, H. (2011). Application of the two-layer model for predicting transpiration from the rice canopy and water surface evaporation beneath the canopy. Journal of Agricultural Meteorology 67 (3):89–97.CrossRefGoogle Scholar
Yan, H., Shi, H., Oue, H., Zhang, C., Xue, Z., Cai, B. and Wang, G. (2015a). Modeling bulk canopy resistance from climatic variables for predicting hourly evapotranspiration of maize and buckwheat. Meteorology and Atmospheric Physics 127 (3):305–312.CrossRefGoogle Scholar
Yan, H., Zhang, C., Oue, H., Wang, G. and He, B. (2015b). Study of evapotranspiration and evaporation beneath the canopy in a buckwheat field. Theoretical and Applied Climatology 122 (3):721–728.CrossRefGoogle Scholar