Agricultural Water Management Research Trends by Magnus L. Sorensen, Magnus L. Srensen

By Magnus L. Sorensen, Magnus L. Srensen

Agricultural water administration contains many issues: farm-level and neighborhood water administration, irrigation, drainage, and salinity administration of cultivated parts, assortment and garage of rainfall in terms of soil homes and crops; the position of groundwater and floor water in nutrient biking, exploitation and safeguard of water assets, regulate of flooding, erosion, and desertification. This ebook offers modern study from world wide.

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2005). HYDRUS1D comprises an interactive graphics-based user-friendly Introducing Modelling Tools to Support Water-Management … 31 interface for the MS Windows environment. The HYDRUS1D interface is directly connected to the HYDRUS computational programs. Besides, the HYDRUS program come with several utility programs that make easier the data input process. HYDRUS1D can be considered as a one-dimensional version of the HYDRUS-2D code. , 1996). Indeed, to be able to simulate soil watermovement and crop water-uptake in two dimensions open new possibilities that perhaps make HYDRUS2D the most important currently available model in this concern (Van Genuchten and Šimunek, 2005).

According to Leenhardt et al. (1995), the Feddes et al. (1978) root water-uptake model has the advantage that not only considers the crop transpiration reduction due to lower soil-water contents, but also takes in account the negative effect of water excess in the soil root zone. Utset et al. (2000) showed that the Feddes et al. (1978) model fits better to actual data, obtained in tropical conditions, than the model provided by Van Genuchten et al. (1987). , 2006). For salinity stress the response function of Maas and Hoffman (1977) is used in SWAP (Van Dam, 2000), as this function has been calibrated for many crops.

For instance, Guereña et al. (2001) showed that those estimations are not very useful to Spanish agricultural climate-change impact assessments, due to the notable topographical changes within the Peninsula for relative small distances. Therefore, a “downscaling” of GCM outputs is absolutely needed before using their estimations for agricultural applications. Wilby and Wigley (2001) summarized the available downscaling techniques; which can be classified as statistical, dynamical and weather generators.

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