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Wageningen Universiteit (2005)

Water productivity analysis from field to regional scale : Integration of crop and soil modelling, remote sensing and geographical information

Singh, Ranvir

Titre : Water productivity analysis from field to regional scale : Integration of crop and soil modelling, remote sensing and geographical information

Auteur : Singh, Ranvir

Université de soutenance  : Wageningen Universiteit

Grade : Doctor Thesis 2005

Résumé partiel
In agricultural production systems, a profound water productivity analysis requires quantification of different hydrological variables such as transpiration, evapotranspiration and percolation, and biophysical variables such as dry matter and grain (or seed) production in relation to different irrigation and agricultural management practices.Sirsa district, located in the Bhakra Irrigation System in Haryana (India), has been selected for a case study. The study area, covering 0.42 million ha, is characterized by typical problems of canal water scarcity, poor groundwater quality, rising and declining groundwater levels, waterlogging and secondary salinization, and less than optimal crop production. The field scale ecohydrological Soil-Water-Atmosphere-Plant (SWAP) model when coupled with field experiments, remote sensing and GIS as used in this study, increases the capabilities of reliable simulation of water productivity from field to regional scale.SWAP was calibrated and validated using the observations at different farmer fields representing various combinations of soil, crop, and irrigation amount and its quality. Inverse modelling was used to determine indirectly the soil hydraulic parameters at fieldscale,and the observed soil moisture and salinity profiles were used as system response. The calibrated and validated SWAPincluding detailed crop growth simulations was extended in a distributed mode to quantify the required hydrological and biophysical variables at regional scale. Field experiments, satellite images and existing geographical data were used to derive and aggregate the input parameters and boundary conditions at the appropriate scales. The accuracy and reliability of spatial aggregation of representative input parameters was determined by comparingthe evapotranspiration simulated by distributed SWAP modelling withindependent satellite remote sensing basedevapotranspirationdata at different spatial and temporal scales.

Mots clés : WATER MANAGEMENT / CROPS / SOIL / MATHEMATICAL MODELS / REMOTE SENSING / GEOGRAPHICAL INFORMATION SYSTEMS / PRODUCTIVITY / INTEGRATION

Présentation et version intégrale

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