SciELO - Scientific Electronic Library Online

 
vol.33 issue2HEAVY METAL BACKGROUND LEVELS IN RURAL SOILS: A CASE STUDY IN PAMPEAN SOILS (ARGENTINA)GEODISPONIBILIDAD DE ARSÉNICO, HIERRO Y SODIO EN SUELOS DE LA CUENCA "EL DIVISORIO'' (BUENOS AIRES, ARGENTINA) author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Ciencia del suelo

On-line version ISSN 1850-2067

Abstract

BECERRA, MIGUEL ALEJANDRO; HANG, SUSANA  and  DIAZ-ZORITA, MARTÍN. ANÁLISIS GEOESPACIAL DEL ÍNDICE DE ADSORCIÓN (Kd) DE ATRAZINA CALCULADO SEGÚN CARTAS DE SUELOS Y MUESTREO EN GRILLA. Cienc. suelo [online]. 2015, vol.33, n.2. ISSN 1850-2067.

Soil surveys provide information, sometimes under-used, about distribution and variability of soil characteristics at a regional scale. Pedotransfer functions generate information on new soil attributes. The purpose of this study was to characterize the spatial variability of the atrazine (6-chloro-N2-ethyl-N4-isopropyl-1,3,5-triazine-2,4-diamine) retention index, Kd, calculated from two data sources: soil surveys (estimated Kd) and a recent regional soil sampling (Kdm); and to assess different methods to estimate Kd at the regional scale from soil surveys data. To obtain the estimated Kd, five methods were assessed: one using the data of the predominant soil series of the cartographic unit, another using the weighted arithmetic mean of the data of the soil series within the cartographic unit, and the remaining three from different interpolation methods. Two hydrological units with contrasting soil characteristics were studied: Morteros (SHM) and Río Quinto (SHRQ). Kdm corresponding to SHM oscillated from low to high with an average of 2.03 ± 0.87 L kg-1 while Kdm values of the SHRQ were mostly low, with an average of 0.79 ± 0.71 L kg-1. Linear regression analysis between Kdm and the estimated Kds fitted better with the interpolated Kds than with the soil surveys Kds. Lower estimation errors (< 1 L kg-1) corresponded with the Kdm range between 0.06 and 2.84 L kg-1. Higher estimation errors (> 1 L kg-1) were less common for the interpolations than for cartographic unit maps, representing 20.6% and 34.1% of the cases, respectively. This study showed that the information from soil surveys was consistent with the data obtained from a recent sampling.

Keywords : Spatial variability, interpolation criteria, GIS, environmental risk.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License