Aridity and desertification: Exploring environmental hazards in Jáchal, Argentina

Adamo, Susana B.; Crews‐Meyer, Kelley A.

doi:10.1016/j.apgeog.2005.09.001

Cited by 54 publications

(26 citation statements)

References 7 publications

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“…This would tend to suggest that the input of arsenic into the Río Huaco from natural and anthropogenic sources is on a much smaller scale to that seen in the Río Blanco and Río Jáchal. High concentrations of boron (3.92 mg l -1 ) and sodium (1020 mg l -1 ) were also found in the Río Jáchal, which have been associated with the rivers high salinity (Adamo and Crews-Meyer 2006). High levels of salinity have been shown to correlate well with high arsenic concentrations (Smedley and Kinniburgh 2002).…”

Section: Discussionmentioning

confidence: 71%

Arsenic contamination of natural waters in San Juan and La Pampa, Argentina

O'Reilly

Watts

Shaw

et al. 2010

Environ Geochem Health

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Arsenic (As) speciation in surface and groundwater from two provinces in Argentina (San Juan and La Pampa) was investigated using solid phase extraction (SPE) cartridge methodology with comparison to total arsenic concentrations. A third province, Río Negro, was used as a control to the study. Strong cation exchange (SCX) and strong anion exchange (SAX) cartridges were utilised in series for the separation and preservation of arsenite (As ). Samples were collected from a range of water outlets (rivers/streams, wells, untreated domestic taps, well water treatment works) to assess the relationship between total arsenic and arsenic species, water type and water parameters (pH, conductivity and total dissolved solids, TDS). Analysis of the waters for arsenic (total and species) was performed by inductively coupled plasma mass spectrometry (ICP-MS) in collision cell mode. Total arsenic concentrations in the surface and groundwater from Encon and the San José de Jáchal region of San Juan (north-west Argentina within the Cuyo region) ranged from 9 -357 μg l -1As. Groundwater from Eduardo Castex (EC) and Ingeniero Luiggi (LU) in La Pampa (central Argentina within the Chaco-Pampean Plain) ranged from 3 -1326 μg l -1As. The pH range for the provinces of San Juan (7.2 -9.7) and La Pampa (7.0 -9.9) are in agreement with other published literature. The highest total arsenic concentrations were found in La Pampa well waters (both rural farms and pre-treated urban sources), particularly where there was high pH (typically > 8.2), conductivity (> 2600 μS cm As. Arsenic species for both provinces were predominantly As for groundwater, respectively. This translates to a relative As III abundance of 69 -100 % of the total arsenic in surface waters and 32 -100 % in groundwater. This is unexpected because it is typically thought that in oxidising conditions (surface waters), the dominant arsenic species is As V . However, data from the SPE methodology suggests that As III is the prevalent species in San Juan, indicating a greater influence from reductive processes. La Pampa groundwater had As (equating to up to 33 % of the total arsenic). Previously published literature has focused primarily on the inorganic arsenic species, however this study highlights the potentially significant concentrations of organoarsenicals present in natural waters. The potential for separating and preserving individual arsenic species in the field to avoid transformation during transport to the laboratory, enabling an accurate assessment of in-situ arsenic speciation in water supplies is discussed.

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Section: Discussionmentioning

confidence: 71%

Arsenic contamination of natural waters in San Juan and La Pampa, Argentina

O'Reilly

Watts

Shaw

et al. 2010

Environ Geochem Health

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“…LULC change assessment illustrates modifications in the condition of important features over time [Singh, 1989;Yeh et al, 1996]. It evaluates the extent of changes in land degradation and desertification [Adamo and Crews-Meyer, 2006;Gao and Liu, 2010], in deforestation [Renó et al, 2011], in habitat fragmentation as well as biodiversity loss [Lung et al, 2012;Carranza et al, 2014] and urban expansion [Fichera et al, 2012;Mertes et al, 2015] for better understanding and sustainable environmental management. Despite their significant contribution to both economic and ecological services, dry forests are currently under severe threats both from anthropogenic and natural calamities [Lemenih et al, 2012;Carranza et al, 2014].…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing based multi-temporal land cover classification and change detection in northwestern Ethiopia

Zewdie¹,

Csaplovies²

2015

European Journal of Remote Sensing

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“…Vegetation changes have been estimated in arid areas using Landsat images [17][18][19][20]. A large number of studies quantify vegetation cover using vegetation indices based upon Landsat images and field surveys [7,17,21,22].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Mapping of the Spectral Characteristics of Fractional Green Cover in Saline Wetlands (NE Spain) Using Field and Remote Sensing Data

et al. 2016

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Abstract:Inland saline wetlands are complex systems undergoing continuous changes in moisture and salinity and are especially vulnerable to human pressures. Remote sensing is helpful to identify vegetation change in semi-arid wetlands and to assess wetland degradation. Remote sensing-based monitoring requires identification of the spectral characteristics of soils and vegetation and their correspondence with the vegetation cover and soil conditions. We studied the spectral characteristics of soils and vegetation of saline wetlands in Monegros, NE Spain, through field and satellite images. Radiometric and complementary field measurements in two field surveys in 2007 and 2008 were collected in selected sites deemed as representative of different soil moisture, soil color, type of vegetation, and density. Despite the high local variability, we identified good relationships between field spectral data and Quickbird images. A methodology was established for mapping the fraction of vegetation cover in Monegros and other semi-arid areas. Estimating vegetation cover in arid wetlands is conditioned by the soil background and by the occurrence of dry and senescent vegetation accompanying the green component of perennial salt-tolerant plants. Normalized Difference Vegetation Index (NDVI) was appropriate to map the distribution of the vegetation cover if the green and yellow-green parts of the plants are considered.

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Aridity and desertification: Exploring environmental hazards in Jáchal, Argentina

Cited by 54 publications

References 7 publications

Arsenic contamination of natural waters in San Juan and La Pampa, Argentina

Arsenic contamination of natural waters in San Juan and La Pampa, Argentina

Remote Sensing based multi-temporal land cover classification and change detection in northwestern Ethiopia

Analysis and Mapping of the Spectral Characteristics of Fractional Green Cover in Saline Wetlands (NE Spain) Using Field and Remote Sensing Data

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