National Multi Order Hydrologic Position (MOHP - High Resolution) Predictor Data for Groundwater and Groundwater-Quality Modeling
Description
Multi Order Hydrologic Position (MOHP) raster datasets: Distance from Stream to
Divide (DSD) and Lateral Position (LP) have been produced nationally for the 48
contiguous United States at a 30-meter resolution for stream orders 1 through 9.
These data are available for testing as predictor variables for various regional and
national groundwater-flow and groundwater-quality statistical models.
The concept behind MOHP is that for any given point on the earth’s surface there
is the potential for longer and longer groundwater flow paths as one goes deeper
and deeper beneath the land surface. These increasing depths correspond to
increasing stream orders. Or in other words, with increasing depth these paths
of groundwater flow travel further from divides to point of discharge which are to
increasingly larger streams of higher stream order.
DSD – Raster – Distance from Stream to Divide (DSD) rasters have cell values
equal to the sum of the shortest distance to the stream or associated waterbody
plus the shortest distance to the matching Thiessen divide. There are 9 rasters
for streams orders 1 through 9. Units are in meters.
LP – Raster -- the lateral position (LP) raster has cell values equal to the shortest
distance to the stream or associated waterbody divided by the DSD. There are 9
rasters for streams orders 1 through 9.
Combined, these two factors, DSD and LP, provide a measure or description of
potential distance of groundwater flow to any location along the groundwater flow
path.
Resources
Name |
Format |
Description |
Link |
|
55 |
Landing page for access to the data |
https://doi.org/10.5066/P9ST73KV |
|
55 |
The metadata original format |
https://data.usgs.gov/datacatalog/metadata/USGS.72bead86-13ef-47b8-9f0c-910061a33c37.xml |
Tags
- environment
- groundwater
- canada
- hydrologic-position
- usgs-72bead86-13ef-47b8-9f0c-910061a33c37
- cycle-3
- mexico
- united-states
- geoscientificinformation
- water-quality
- inlandwaters
- statistical-predictors
- nawqa
- national-rasters