A statistical comparison of soil properties classified via Digital Hillslope Position and Floodplain algorithm vs. gSSURGO and Iowa physiographic regions.
A new approach for delineating noncontributing areas of watersheds is presented. Maps of soil properties offer indicators of subtle landscape features and hydrologic functions. Our approach is to identify soil map units that reflect upland ponding and then define the sum of their watersheds as the noncontributing area. The decrease in time required to delineate noncontributing areas with a GIS method makes it practical to perform regional scale analysis of non-contributing areas.
Grid, random, and stratified sampling each come with unique advantages and disadvantages.
However, more efficient sampling could be accomplished with a more strategic sampling design.
The map produced by William Smith in 1815 is recognized as the first geological map of Britain, but it also represents a benchmark in cartography for the Earth sciences. Following the agrogeology concepts of the time, the title claims that by mapping the geologic strata, the varieties of soil are also shown. The new opportunity to leverage the proper map scaling in topographic maps as a locational reference to map other Earth science attributes set the stage for other revolutions.
Native prairie vegetation strips on contours (STRIPS) are a relatively new conservation strategy which bring a host of ecosystem services. They also add a degree of complexity to what would otherwise be a simplified landscape. This study analyzes the impact of the presence of the prairie strips on surrounding soil properties.
The City of Ames Power Plant opened in 1901 as a coal-fired plant, converted to coal-fuel and refuse derived fuel (RDF) in 1975, and then to exclusively RDF in 2016. Fly ash that escapes the plant’s air pollution removal system contains heavy metals originally present in the fossil fuels, and are transported from the smoke stack and deposited onto surrounding areas. This project used hourly weather data and annual emissions estimates from the City of Ames Power Plant in a Gaussian Dispersion model within MATLAB, to predict the location of soils with highest expected deposition of nickel, lead, and mercury from the plant between 2004 and 2015.
Loess is known to be widespread across the mid-latitudes of most continents, but it has not been as obvious to look for loess in Iran. Even though articles regarding loess sediments in Iran exist, global and regional maps typically indicate little to no loess within Iran
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