Morphophysical pedotransfer functions for groundwater pollution by nitrate leaching in Central Chile
Author
dc.contributor.author
Fuentes, Ignacio
Author
dc.contributor.author
Casanova Pinto, Manuel
Author
dc.contributor.author
Seguel Seguel, Oscar
Author
dc.contributor.author
Nájera de Ferrari, Francisco
Author
dc.contributor.author
Salazar Guerrero, Osvaldo
Admission date
dc.date.accessioned
2016-11-04T18:39:11Z
Available date
dc.date.available
2016-11-04T18:39:11Z
Publication date
dc.date.issued
2014
Cita de ítem
dc.identifier.citation
Chilean Journal of Agricultural Research 74(3) July-September 2014
es_ES
Identifier
dc.identifier.other
10.4067/S0718-58392014000300013
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/141132
Abstract
dc.description.abstract
Nitrate leaching (NL) is a major concern in agriculture due to its impact on human health and ecosystems. Solute movement
through soil is governed by various hydraulic and physical properties that determine water flow. To study such relationships,
a pedotransfer function of groundwater pollution was developed in two alluvial irrigated soils under long-term pig slurry
applications. Two basins of central Chile, San Pedro (Typic Xerochrepts) and Pichidegua (Mollic Xerofluvents) were
selected, where maize (Zea mays L.) was grown in spring-summer, while during autumn-winter period a ryegrass-barleyoat
mixed crop was established in San Pedro and a fallow management applied in Pichidegua. Soils in cultivated and
control sites were characterized in physical and hydraulic terms. Nitrogen and water budgets were determined measuring
periodically (biweekly) N concentration (N-NO3- and N-NH4+) and monitoring water contents in soil profiles, respectively.
Dye tracer tests were performed with brilliant blue (BB) dye and the staining patterns analyzed. To contrast the effect
of slurry additions over soil physical properties and over NL, t-Student tests were performed. Some accurate pollution
groundwater NL pedotransfer functions were obtained calculated through least square fit models and artificial neural
networks. Textural porosity, mean diameter variation, slow drainage porosity, air conductivity at 33 kPa water tension and
N-NO3- concentrations were directly related to NL. In terms of preferential flow analysis, stained path width > 200 mm was
inversely associated to NL. Finally, dye tracer tests provided a better understanding of the characteristics and pattern of
water/solute movement through soil to groundwater.