Regional analysis of irrigation water requirements using kriging: Application to potato crop (Solanum tuberosum L.) at Tras-os-Montes

Abstract Aiming at the analysis of the regional variation of potato crop irrigation water requirements over the Tras-os-Montes region, data from 106 rainfall stations and eight weather stations were utilized in an irrigation scheduling simulation model to estimate net irrigation water requirements of the potato crop. The simulation model was first validated using a field experiment which allows to derive the required crop data to be used in the simulations. The reference evapotranspiration (ET0) was estimated using the FAO Penman–Monteith method. The model was applied to all 106 locations, each with a data set spanning a 19-year period. As a result of this application, series of the net irrigation water requirements for a 19-year period were obtained for each location. The resulting 106 point values of the net water requirements of the potato crop have been treated as a regionalized variable. The respective semivariograms have been computed and the kriging method then applied to estimate the spatial distribution of the water requirements in the region. Contour lines of this regionalized variable have been drawn using a GIS system. Results show an estimation error averaging 5% for the entire region.

[1]  P. Burrough,et al.  The indicator approach to categorical soil data. II: Application to mapping and land use suitability analysis , 1993 .

[2]  Michel Gevers,et al.  OPTIMAL ESTIMATION OF THE AVERAGE AREAL RAINFALL AND OPTIMAL SELECTION OF RAIN-GAUGE LOCATIONS , 1984 .

[3]  J. Delhomme.  Kriging in the hydrosciences , 1978 .

[4]  C. Obled,et al.  Objective analyses and mapping techniques for rainfall fields: An objective comparison , 1982 .

[5]  E. J. England,et al.  Geo — EAS (Geostatistical Environmental Assessment Software) , 1989 .

[6]  J. Peirce,et al.  Identification of Hydraulic Conductivity Structure in Sand and Gravel Aquifers: Cape Cod Data Set , 1996 .

[7]  L. Bruckler,et al.  Régression linéaire avec erreur sur les variables : application à l'étalonnage d'un gammadensimètre à transmission et d'un humidimètre à neutrons , 1987 .

[8]  W. O. Pruitt,et al.  Crop water requirements , 1997 .

[9]  Randel Haverkamp,et al.  ERROR ANALYSIS IN ESTIMATING SOIL WATER CONTENT FROM NEUTRON PROBE MEASUREMENTS: 1. LOCAL STANDPOINT , 1984 .

[10]  E. J. Englund,et al.  Geo-EAS (Geostatistical Environmental Assessment Software) user's guide , 1988 .

[11]  C. R. Camp,et al.  Evapotranspiration and irrigation scheduling , 1996 .

[12]  R. Cuenca,et al.  Analysis of Evapotranspiration as a Regionalized Variable , 1987 .

[13]  Dimitris Papamichail,et al.  Geostatistical analysis of spatial variability of rainfall and optimal design of a rain gauge network , 1996 .

[14]  G. Vachaud,et al.  Comparison of methods of calibration of a neutron probe by gravimetry or neutron-capture model , 1977 .

[15]  Daniel Hillel,et al.  Advances in irrigation , 1982 .

[16]  Richard G. Allen,et al.  Simple Irrigation Scheduling Calendars , 1996 .

[17]  G. Matheron.  Principles of geostatistics , 1963 .

[18]  Willard M. Snyder,et al.  Temporally and Areally Distributed Rainfall , 1977 .