Spatial variability of sediment erosion processes using GIS analysis within watersheds in a historically mined region, Patagonia Mountains, Arizona

Brady, L.; Gray, Floyd; Wissler, Craig; Guertin, D. Phillip

doi:10.3133/ofr01267

Cited by 7 publications

(9 citation statements)

References 6 publications

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“…This model has been used to predict potential soil erosion in many studies (Eli 1981;Eli and Paulin 1983;Eli et al 1980;DeVantier and Feldman 1993), and was adapted by Brady (2000) and Brady et al (2001) in a GIS and account for mine and tailings dimensions in the Patagonia watershed study area. The USLE was used to predict the average annual soil loss caused by sheet and rill erosion in a GIS, using 30-m grid cells.…”

Section: Application Developmentmentioning

confidence: 99%

“…This computation gives the total net sediment yielded by the watershed on a cell-by-cell basis. SEDMOD also allows for a calculation of the total potential gross erosion of the watershed, an estimate of sediment delivered to the streams, and estimated total delivery to the watershed outlet (Brady 2000;Brady et al 2001).…”

Section: Application Developmentmentioning

confidence: 99%

“…SEDMOD was developed by Fraser (1999) and applied by Brady (2000) and Brady et al (2001) to calculate the amount of sediment delivered to the channel across the Patagonia watersheds. In order to better identify NPS pollution sources, a sediment delivery ratio (SDR) is calculated by SEDMOD based on the watershed area total and adjusted properties of each cell's slope gradient and shape, surface roughness, proximity to streams, soil texture and overland flow; this improves the estimate of downstream sediment rates (Fraser 1999;Fraser et al 1998).…”

Section: Application Developmentmentioning

confidence: 99%

“…Several studies in the Patagonia and southern Santa Rita Mountains study area have been conducted in an attempt to determine which effects are related to past human activity and which are an expression of the natural mineral deposit environment (Chaffee et al 1981;Dean 1982;Dean and Fogel 1982;Gray et al 2000). Previous studies show that transport of sediment by overland flow from tailing piles and waste dumps can be predicted with watershed models and related to other water quality constituents (Brady 2000;Brady et al 2001). Fraser et al (1998) used similar procedures to relate fecal coliform levels to sediment yield from farmlands.…”

Section: Introductionmentioning

confidence: 97%

“…The study will apply the Universal Soil Loss Equation (USLE; Wischmeier and Smith 1978) across the study watershed to estimate potential soil loss from a hillslope and then routes the sediment to the stream channel using Spatially Explicit Delivery MODel (SEDMOD ;Fraser 1999;Brady 2000;Brady et al 2001). The analysis can be applied so that the sources of sediment delivered to the stream channel can be tracked.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Tracking acid mine-drainage in Southeast Arizona using GIS and sediment delivery models

Norman

Gray

Guertin

et al. 2007

Environ Monit Assess

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This study investigates the application of models traditionally used to estimate erosion and sediment deposition to assess the potential risk of water quality impairment resulting from metal-bearing materials related to mining and mineralization. An integrated watershed analysis using Geographic Information Systems (GIS) based tools was undertaken to examine erosion and sediment transport characteristics within the watersheds. Estimates of stream deposits of sediment from mine tailings were related to the chemistry of surface water to assess the effectiveness of the methodology to assess the risk of acid mine-drainage being dispersed downstream of abandoned tailings and waste rock piles. A watershed analysis was preformed in the Patagonia Mountains in southeastern Arizona which has seen substantial mining and where recent water quality samples have reported acidic surface waters. This research demonstrates an improvement of the ability to predict streams that are likely to have severely degraded water quality as a result of past mining activities.

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Section: Application Developmentmentioning

confidence: 99%

Section: Application Developmentmentioning

confidence: 99%

Section: Application Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Tracking acid mine-drainage in Southeast Arizona using GIS and sediment delivery models

Norman

Gray

Guertin

et al. 2007

Environ Monit Assess

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An Assessment of the Environmental Impact of Coal Mining through Acid Mine Drainage and Soil Degradation from Makum Coalfields, Upper Assam, India: A Case Study

Kumar

Srivastava

Kishor

et al. 2023

Journal of the Geological Society of India

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Acid mine drainage and soil erosion are significant problems in the coal mining area. It affects the water quality and soil quality, henceforth affecting plant growth and most aquatic life. During the last two decades, coal mining areas were increased by 194 hectares in Makum coalfield (Assam), which led to an increase in acid mine drainage and soil loss. In this paper, the water chemistry of water samples was analyzed, and annual soil loss near the area of Makum coalfield was calculated to investigate the most affected region by Acid Mine Drainage (AMD) and soil erosion. The Watershed delineation, slope angle, elevation contour map, and drainage system of 57 km2 of the study area were developed by ArcGIS Pro. The Universal Soil Loss Equation was used to estimate the amount of annual soil loss. The USLE parameter was assessed using a Digital Elevation Model with a 30-meter X 30-meter resolution. The result indicates that the quality of drainage near the mines was highly acidic. Also, compared to the area near the riverside, the proximity of mines is more affected by soil erosion and needs improvement.

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Model analysis of check dam impacts on long-term sediment and water budgets in Southeast Arizona, USA

Norman

Niraula

2016

Ecohydrology & Hydrobiology

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The objective of this study was to evaluate the effect of check dam infrastructure on soil and water conservation at the catchment scale using the Soil and Water Assessment Tool (SWAT). This paired watershed study includes a watershed treated with over 2000 check dams and a Control watershed which has none, in the West Turkey Creek watershed, Southeast Arizona, USA. SWAT was calibrated for streamflow using discharge documented during the summer of 2013 at the Control site. Model results depict the necessity to eliminate lateral flow from SWAT models of aridland environments, the urgency to standardize geospatial soils data, and the care for which modelers must document altering parameters when presenting findings. Performance was assessed using the percent bias (PBIAS), with values of +/-2.34%. The calibrated model was then used to examine the impacts of check dams at the Treated watershed. Approximately 630 tons of sediment was stored behind check dams in the Treated watershed over the 3-year simulation, which increases the water quality to an acceptable level for fish habitat there. A minimum precipitation event of 15mm was found necessary to instigate the detachment of soil, sediments, or rock from the study area, which occurred 2% of the time. The resulting watershed model is useful as a predictive framework and decision-support tool to consider long-term impacts of restoration and potential for future restoration.

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Spatial variability of sediment erosion processes using GIS analysis within watersheds in a historically mined region, Patagonia Mountains, Arizona

Cited by 7 publications

References 6 publications

Tracking acid mine-drainage in Southeast Arizona using GIS and sediment delivery models

Tracking acid mine-drainage in Southeast Arizona using GIS and sediment delivery models

An Assessment of the Environmental Impact of Coal Mining through Acid Mine Drainage and Soil Degradation from Makum Coalfields, Upper Assam, India: A Case Study

Model analysis of check dam impacts on long-term sediment and water budgets in Southeast Arizona, USA

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