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This child page contains the model input and output data used in the model validation process for one Program for Predicting Polluting Particle Passage through Pits, Puddles and Ponds (P8) model during the validation period of the study detailed in the associated Scientific Investigations Report "Comparison of Storm Runoff Models for a Small Watershed in an Urban Metropolitan Area, Albuquerque, New Mexico" (Shephard and Douglas-Mankin, 2020). This model was used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete lined channels in the northeastern quadrant of Albuquerque that exhibits flashy, monsoonal-driven storm runoff events. The model is described in detail in the associated...
Tags: Albuquerque,
Bernalillo,
New Mexico,
Rio Grande,
precipitation (atmospheric), All tags...
runoff,
storms,
stormwater runoff,
streamflow,
streamflow modeling,
urban runoff, Fewer tags
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The evaluation of historical water use in the Upper Rio Grande Basin (URGB), United States and Mexico, using Landsat-derived actual evapotranspiration (ETa) from 1986 to 2015 is presented here as the first study of its kind to apply satellite observations to quantify long-term, basin-wide crop consumptive use in a large basin. The rich archive of Landsat imagery combined with the Operational Simplified Surface Energy Balance (SSEBop) model was used to estimate and map ETa across the basin and over irrigated fields for historical characterization of water-use dynamics. Monthly ETa estimates were evaluated using six eddy-covariance (EC) flux towers showing strong correspondence (r2 > 0.80) with reasonable error rates...
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This child page contains the requisite folder structure along with model input and output data used in the model validation process for two Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS) models during the validation period of the study detailed in the associated Scientific Investigations Report "Comparison of Storm Runoff Models for a Small Watershed in an Urban Metropolitan Area, Albuquerque, New Mexico" (Shephard and Douglas-Mankin, 2020). One model uses a curve-number (CN) based loss method approach, and the other model uses an initial and constant (IC) infiltration rate loss method. Each model was used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete...
Tags: Albuquerque,
Bernalillo,
New Mexico,
Rio Grande,
precipitation (atmospheric), All tags...
runoff,
storms,
stormwater runoff,
streamflow,
streamflow modeling,
urban runoff, Fewer tags
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This U.S. Geological Survey (USGS) data release presents the geospatial data used to assess the hydrologic and soil resources and the potential effects from grazing, infrastructure, and land-management decisions in the Bureau of Land Management Organ Mountains-Desert Peaks National Monument, New Mexico. Publicly available and previously unpublished data were used to assess these resources and effects and to identify data gaps in the Organ Mountains-Desert Peaks National Monument area. Data created from already published data such as landform, infiltration, geology, and grazing potential coverages are also included in this data release. These data support the following publication: Blake, J.M., Mitchell, A.C.,...
Tags: Doña Ana,
Environmental Health,
Geomorphology,
Land Use Change,
New Mexico, All tags...
New Mexico,
Organ Mountains-Desert Peaks National Monument,
Surface water,
USGS Science Data Catalog (SDC),
Water Resources,
agriculture,
biota,
boundaries,
environment,
geologic maps,
groundwater,
infrastructure,
land use and land cover,
landforms,
location,
modeling,
natural resources,
soil survey,
water resource management,
water resources, Fewer tags
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The Rangeland Hydrologic Erosion Model (RHEM) is an online model developed by the United States Department of Agriculture that is used to predict erosion and runoff in rangelands. The model was used to determine runoff and erosion predicitions for five different scenarios in the Organ Mountains-Desert Peaks National Monument. The five scenarios that RHEM was used to look at in the monument include current conditions as of 2016; climate variability; scrub encroachment; drought, heavy grazing, or land-use pressure; and vegetation removal. The inputs for each scenario were created using an R script and compiled into separate csv files. For the purpose of this data release, the five csv files were then compiled into...
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