Open AccessSpatial Variability and Transport of Nitrate in a Deep Alluvial Vadose Zone
Author(s) -
Onsoy Yuksel S.,
Harter Thomas,
Ginn Timothy R.,
Horwath William R.
Publication year - 2005
Publication title -
vadose zone journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.036
H-Index - 81
ISSN - 1539-1663
DOI - 10.2136/vzj2005.0041a
Subject(s) - vadose zone , water table , hydrology (agriculture) , geology , groundwater , spatial variability , dns root zone , soil science , environmental science , soil water , geotechnical engineering , statistics , mathematics
Little empirical evidence exists about the spatial distribution of NO 3 –N in deep vadose zones and about the associated fate and transport of NO 3 –N between the root zone and the water table. We investigated NO 3 –N occurrence in a deep alluvial vadose zone and its relation to geologic site characteristics, hydraulic properties, and fertilizer application rates via an intensive three‐dimensional core‐sampling campaign beneath an irrigated orchard in semiarid Fresno County, California. Statistical and geostatistical analyses were used to determine spatial variability of NO 3 –N and water content, to estimate total NO 3 –N mass in the vadose zone beneath each of three fertilizer treatments, and to compare NO 3 –N occurrence with that predicted from standard agronomic analysis of N and water flux mass balances. Vadose zone NO 3 was highly variable and lognormally distributed. Fertilizer treatment had a significant effect on NO 3 –N levels in the vadose zone. In all cases, deep vadose zone N mass estimated by kriging measured data totaled only one‐sixth to one‐third of the mass predicted by the N and water flux mass balance approach. Vadose zone denitrification estimates could not account for this discrepancy. Instead, the discrepancy was attributed to highly heterogeneous flux conditions that were not accounted for by the mass‐balance approach. The results suggest that spatially variable vadose zone flow conditions must be accounted for to better estimate the potential for groundwater NO 3 loading.