The efficiency of artificial surface ponds (SPs) for managed aquifer recharge (MAR) is mostly controlled by the topmost portion of the soil. The most significant soil property controlling recharge is the infiltration capacity (I c), which is highly variable in space. Assessing its spatial distribution in detail is prohibitive in practice due to high costs, time effort, and limited site accessibility. We present an alternative method for a quick and low-cost quantitative estimation of the spatial distribution of I c based on satellite images. The fact that hydraulic properties of topsoils and color intensities of digital images depend on some common factors such as moisture content, nature and organization of grains, proportion of iron, and organic and clay content among others, allow us to infer infiltration capacities from color intensities. The relationship between these two variables is site specific and requires calibration. A pilot SP site in Catalonia (Spain) is used as an application example. Two high-resolution digital images of the site are provided at no cost by the local cartographic institute as well as from a popular Internet-based map server. An initial set of local infiltration experiments, randomly located, were found to correlate to color intensities of the digital images. This relationship was then validated against additional independent measurements. The resulting maps of infiltration were then used to estimate the total maximum infiltration of the artificial pond area, the results being consistent with an independent flooding test performed at the site.
A quick and inexpensive method to quantify spatially variable infiltration capacity for artificial recharge ponds using photographic images / D. Pedretti, M. Barahona-Palomo, D. Bolster, X. Sanchez-Vila, D. Fernàndez-Garcia. - In: JOURNAL OF HYDROLOGY. - ISSN 0022-1694. - 430-431(2012), pp. 118-126.
|Titolo:||A quick and inexpensive method to quantify spatially variable infiltration capacity for artificial recharge ponds using photographic images|
PEDRETTI, DANIELE (Corresponding)
|Parole Chiave:||Clogging; Infiltration capacity; Managed artificial recharge; Satellite images; Spatial variability; Surface ponds; Water Science and Technology|
|Settore Scientifico Disciplinare:||Settore GEO/05 - Geologia Applicata|
|Data di pubblicazione:||2012|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1016/j.jhydrol.2012.02.008|
|Appare nelle tipologie:||01 - Articolo su periodico|