Relaciones de factores hidrogeológicas, condiciones de oxidación-reducción del agua subterránea, y distribuciones espacial y temporal de nitrato, Valle Centro-Oriental de San Joaquín, California, EEUU

Landon, Matthew K.; Green, Christopher T.; Belitz, Kenneth; Singleton, Michael; Esser, Bradley K.

doi:10.1007/s10040-011-0750-1

Cited by 71 publications

(60 citation statements)

References 82 publications

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“…A study focused in the San Joaquin Valley correlated anoxic groundwater conditions to lower nitrate concentrations, but the authors did not attribute this to denitrification (Landon et al, 2011). Instead, Landon et al (2011) attributed the lower nitrate concentrations in wells with water classified as anoxic to older groundwater with longer residence times (recharged prior to the intensive use of fertilizers). Landon et al (2011) did not find significant decreases in nitrate concentration in wells due to denitrification.…”

Section: Discussionmentioning

confidence: 99%

“…Instead, Landon et al (2011) attributed the lower nitrate concentrations in wells with water classified as anoxic to older groundwater with longer residence times (recharged prior to the intensive use of fertilizers). Landon et al (2011) did not find significant decreases in nitrate concentration in wells due to denitrification. Results of a multimodel averaging approach to estimate oxygen and nitrogen reduction rates in the San Joaquin Valley did estimate denitrification rates to be significant (Green et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

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A Bayesian approach to infer nitrogen loading rates from crop and land-use types surrounding private wells in the Central Valley, California

Ransom

Bell

Barber

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. This study is focused on nitrogen loading from a wide variety of crop and land-use types in the Central Valley, California, USA, an intensively farmed region with high agricultural crop diversity. Nitrogen loading rates for several crop types have been measured based on field-scale experiments, and recent research has calculated nitrogen loading rates for crops throughout the Central Valley based on a mass balance approach. However, research is lacking to infer nitrogen loading rates for the broad diversity of crop and landuse types directly from groundwater nitrate measurements. Relating groundwater nitrate measurements to specific crops must account for the uncertainty about and multiplicity in contributing crops (and other land uses) to individual well measurements, and for the variability of nitrogen loading within farms and from farm to farm for the same crop type. In this study, we developed a Bayesian regression model that allowed us to estimate land-use-specific groundwater nitrogen loading rate probability distributions for 15 crop and land-use groups based on a database of recent nitrate measurements from 2149 private wells in the Central Valley. The water and natural, rice, and alfalfa and pasture groups had the lowest median estimated nitrogen loading rates, each with a median estimate below 5 kg N ha −1 yr −1 . Confined animal feeding operations (dairies) and citrus and subtropical crops had the greatest median estimated nitrogen loading rates at approximately 269 and 65 kg N ha −1 yr −1 , respectively. In general, our probability-based estimates compare favorably with previous direct measurements and with mass-balance-based estimates of nitrogen loading. Nitrogen mass-balance-based estimates are larger than our groundwater nitrate derived estimates for manured and nonmanured forage, nuts, cotton, tree fruit, and rice crops. These discrepancies are thought to be due to groundwater age mixing, dilution from infiltrating river water, or denitrification between the time when nitrogen leaves the root zone (point of reference for mass-balancederived loading) and the time and location of groundwater measurement.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A Bayesian approach to infer nitrogen loading rates from crop and land-use types surrounding private wells in the Central Valley, California

Ransom

Bell

Barber

et al. 2018

Hydrol. Earth Syst. Sci.

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“…Rankinen et al (2008) evaluated the leaching of nitrate into shallow groundwater from a variety of agricultural fields under different cultivating practices. Researchers also found that the manure management (Lord et al, 2002), reduction-oxidation conditions (Landon et al, 2011), soil texture (Wick et al, 2012), atmospheric temperature (Wick et al, 2012), and precipitation surpluses (Salo and Turtola, 2006) influence the concentration of nitrate leached into groundwater. However, we do not fully understand the relation between groundwater nitrate concentration elevation and the rapid urbanization and economic development (Gu et al, 2013), which lead to a serious impact on management of groundwater nitrate pollution.…”

Section: Introductionmentioning

confidence: 96%

“…Several studies have examined nitrate contamination resulting from different agricultural practices and hydrogeological settings (Güler et al, 2012;Landon et al, 2011;Stigter et al, 2008). Lockhart et al (2013) described the distribution of nitrate resulting from different land uses.…”

Section: Introductionmentioning

confidence: 99%

Driving mechanism and sources of groundwater nitrate contamination in the rapidly urbanized region of south China

Zhang

Sun

Liu

et al. 2015

Journal of Contaminant Hydrology

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“…A large proportion of the monitoring effort is dedicated to the collection and analysis of water quality samples (Deeds et al, 2012;Fram and Belitz, 2011a;Jurgens et al, 2009;Fram and Belitz, 2011b;Landon et al, 2011). Simultaneous collection and analysis of environmental tracers, including tritium, stable isotopes of the water molecule and dissolved noble gases and the helium isotope ratio, has allowed assemblage of an unprecedented database containing valuable information regarding key groundwater characteristics, allowing assessment of contamination vulnerability and sustainability of groundwater abstraction.…”

Section: Introductionmentioning

confidence: 99%

Geostatistical analysis of tritium, groundwater age and other noble gas derived parameters in California

et al. 2016

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Key characteristics of California groundwater systems related to aquifer vulnerability, sustainability, recharge locations and mechanisms, and anthropogenic impact on recharge are revealed in a spatial geostatistical analysis of a unique data set of tritium, noble gases and other isotopic analyses unprecedented in size at nearly 4000 samples. The correlation length of key groundwater residence time parameters varies between tens of kilometers ((3)H; age) to the order of a hundred kilometers ((4)Heter; (14)C; (3)Hetrit). The correlation length of parameters related to climate, topography and atmospheric processes is on the order of several hundred kilometers (recharge temperature; δ(18)O). Young groundwater ages that highlight regional recharge areas are located in the eastern San Joaquin Valley, in the southern Santa Clara Valley Basin, in the upper LA basin and along unlined canals carrying Colorado River water, showing that much of the recent recharge in central and southern California is dominated by river recharge and managed aquifer recharge. Modern groundwater is found in wells with the top open intervals below 60 m depth in the southeastern San Joaquin Valley, Santa Clara Valley and Los Angeles basin, as the result of intensive pumping and/or managed aquifer recharge operations.

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Relaciones de factores hidrogeológicas, condiciones de oxidación-reducción del agua subterránea, y distribuciones espacial y temporal de nitrato, Valle Centro-Oriental de San Joaquín, California, EEUU

Cited by 71 publications

References 82 publications

A Bayesian approach to infer nitrogen loading rates from crop and land-use types surrounding private wells in the Central Valley, California

A Bayesian approach to infer nitrogen loading rates from crop and land-use types surrounding private wells in the Central Valley, California

Driving mechanism and sources of groundwater nitrate contamination in the rapidly urbanized region of south China

Geostatistical analysis of tritium, groundwater age and other noble gas derived parameters in California

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