The UGR is collaborating with the New Zealand-based scientific organization Manaaki Whenua-Landcare Research to seek new, more robust and efficient methods for determining the hydrological behaviour of the earth’s surface, which will enable the water resources of the planet to be managed more sustainably
The development of tools to estimate the hydrological properties of soil on a large scale is a worldwide challenge. Now, the University of Granada (UGR) is collaborating with researchers from New Zealand and France to develop new methodologies for determining the hydrological behaviour of the earth’s surface, which will contribute to improving the management of water resources on the planet.
Manaaki Whenua-Landcare Research is devoted to the study and care of ecosystems, with a special interest in the protection of biodiversity, water, and soil. In 2018, the organization formally agreed to strengthen its cultural and scientific ties with the UGR.
At present, one of the major limitations of climate models is related to the hydrological characterization of the soil. It is there that the boundary conditions between the atmosphere and the earth’s surface are found—that is, the soil is responsible for the distribution of water in the hydrological cycle, in that it determines the amount of water that runs off the surface to then sustain plant life, evaporate into the atmosphere, or drain away into the groundwater.
Hydrological properties are those that describe the storage and transmission of water in the pore system of the soil matrix. Despite the extensive theoretical knowledge about soil water dynamics that has been accumulated, insights on this subject are still limited by the technical difficulty and high cost of accurately measuring the parameters on which the soil’s hydraulic function depends. Consequently, such measurement is unfeasible for large areas of land.
Soil water parameters
The research conducted at the UGR to date has successfully addressed some of the limitations of the existing techniques, simplifying procedures and costs and reducing error margins in the estimation of soil water properties. One of the most innovative pieces of research at the UGR has enabled scientists to generalize the procedures for directly deriving the water parameters for any type of retention curve and hydraulic conductivity without any need for additional information on the soil texture.
Indirect methods for estimating water properties draw on the basic information that is typically available, such as particle-size distribution. Such information is available globally on a different scale, thanks to the tremendous efforts of the international research community. The development of models for estimating other properties based on the available data is quite common. These models assume that soil particles are spherical and have constant density, regardless of their size. They describe the pore system of the soil in terms of a set of capillary tubes in which the porosity is evenly arranged across all particle sizes.
However, in the case of natural soil, the geometry of the pores varies in line with the size of the particles, giving rise to a complex relationship between the radius of the particles and that of the pores. Another of the most significant advances made by the UGR researchers has been to improve such models, on the hypothesis that the geometry of the pore size and its distribution depend on the size of the soil particles. Hence, using a physical model, the water retention curve can be predicted from the particle-size distribution.
In this new approach, the rearrangement of soil particles is estimated by introducing a mixing function that modulates their size distribution, while the total porosity is limited by the saturated water content. Unlike the models developed previously, the model is valid for all types of soil, not only those with a marginal clay fraction.
The results of this research are being published in some of the highest-impact international journals in this specialist area and will continue contributing to advances in the modelling of the processes that take place on the earth’s surface. Furthermore, they will deliver important benefits for the use of water and soil resources globally, as well as helping to improve climate-model forecasts.
Bibliography:
Fernández-Gálvez, J., Pollacco, J.A.P., Lassabatere, L., Angulo-Jaramillo, R., & Carrick, S. (2019), ‘A general Beerkan Estimation of Soil Transfer parameters method predicting hydraulic parameters of any unimodal water retention and hydraulic conductivity curves: Application to the Kosugi soil hydraulic model without using particle size distribution data’, Advances in Water Resources 129: 118–30. Online:
Pollacco. J.A.P., Fernández-Gálvez, J., & Carrick, S. (2020), ‘Improved prediction of water retention curves for fine texture soils using an intergranular mixing particle size distribution model’, Journal of Hydrology 584, 124597. Online:
Image caption:
Soil mosaic in Canterbury (New Zealand)
Media enquiries:
Jesus Fernandez Galvez
Department of Regional Geographic Analysis and Physical Geography, University of Granada
Tel.: +34 958 243641Email: jesusfg@ugr.es