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You searched for subject:(Drainage Research Analysis). Showing records 1 – 2 of 2 total matches.

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1. Prajapati, Prajaya. Biological potential and diffusion limitation of methane oxidation in no-till soils.

Degree: 2014, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Long term no-till (NT) farming can improve the CH4 oxidation capacity of agricultural lands through creation of a favorable soil environment for methanotrophs and diffusive gas transport. However, limited data is available to evaluate the merit of that contention. Although the potential for biological CH4 oxidation may exist in NT soils, restricted diffusion could limit expression of that potential in fine-textured soils. A study was conducted to assess the CH4 oxidation potential and gaseous diffusivity of soils under plow till (PT) and NT for > 50 years. Intact cores and composite soils samples (0-10 and 10-20 cm) were collected from NT and PT plots located at a well-drained site (Wooster silt loam) and at a poorly-drained (Crosby silt loam) site in Ohio. Adjacent deciduous forest soils were also sampled to determine maximum rate expected in undisturbed soils in the region. Regardless of study sites and soil depth, CH4 oxidation rate (measured at near ambient CH4) and oxidation potential (Vmax, measured at elevated CH4) were 3-4 and 1.5 times higher in NT than in PT soils, respectively. Activity in the NT soils approached (66-80 %) that in the forest soils. Half saturation constants (Km) and threshold for CH4 oxidation (Th) were lower in NT (Km: 100.5 µL CH4 L-1; Th: 0.5 µL CH4 L-1) than in PT soils (Km: 134 µL CH4 L-1; Th: 2.8 µL CH4 L-1) suggesting a greater affinity of long-term NT soils for CH4, and a possible shift in methanotrophic community composition. CH4 oxidation rates were lower in intact soil cores compared to sieved soils, suggesting that CH4 oxidation was limited by diffusion, a factor that could lead to lower field-measured CH4 uptake than suggested by biological oxidation capacity measured in the laboratory. Regardless of soil drainage characteristic, long-term NT resulted in significantly higher (2-3 times) CH4 diffusivity (mean: 2.5 x 10-3 cm2 s-1) than PT (1.5 x 10-3 cm2 s-1), probably due to improved soil aggregation and greater macro-pores volume in NT soils. Overall, these results confirm the positive impact of NT on the restoration of the biological (Vmax, Km and Th) and physical (diffusivity) soil attributes essential for CH4 uptake in croplands. Long-term implementation of NT farming can therefore contribute to the mitigation of CH4 emission from agriculture.

Advisors/Committee Members: Wang, Xianzhong, Martin, Pamela, Jacinthe, Pierre-André.

Subjects/Keywords: No-tillage  – Statistics  – Research  – Ohio  – Analysis; Conservation tillage  – Research  – Ohio  – Analysis; Methylotrophic bacteria  – Research; Biogeochemistry  – Research; Gases in microorganisms; Soils  – Nitrogen content  – Research  – Ohio  – Analysis  – Statistics; Soils  – Oxidation  – Research  – Analysis; Soil chemistry  – Analysis; Drainage; Soil texture; Soil physics; Methane  – Research  – Analysis; South Charleston (Ohio)  – Soils  – Sampling  – Research; Wooster (Ohio)  – Soils  – Sampling  – Research; Oxidation  – Environmental aspects  – Research; Soils  – Sampling  – Statistics  – Research  – Analysis

…x29;. Soil samples for this study were from research plots that have been under NT for about… …agricultural sciences. Research questions and hypotheses 1. How does long term adoption of NT affect… …poorly-drained soils. Research objectives The specific objectives of this research study are… …USA). These plots were established by the Ohio Agricultural Research and Development… …under the same tillage practice for the same length of time but have contrasting soil drainage… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Prajapati, P. (2014). Biological potential and diffusion limitation of methane oxidation in no-till soils. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/4446

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Prajapati, Prajaya. “Biological potential and diffusion limitation of methane oxidation in no-till soils.” 2014. Thesis, IUPUI. Accessed January 22, 2020. http://hdl.handle.net/1805/4446.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Prajapati, Prajaya. “Biological potential and diffusion limitation of methane oxidation in no-till soils.” 2014. Web. 22 Jan 2020.

Vancouver:

Prajapati P. Biological potential and diffusion limitation of methane oxidation in no-till soils. [Internet] [Thesis]. IUPUI; 2014. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/1805/4446.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Prajapati P. Biological potential and diffusion limitation of methane oxidation in no-till soils. [Thesis]. IUPUI; 2014. Available from: http://hdl.handle.net/1805/4446

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Roy, Samapriya. Remote sensing & GIS applications for drainage detection and modeling in agricultural watersheds.

Degree: 2014, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

The primary objective of this research involves mapping out and validating the existence of sub surface drainage tiles in a given cropland using Remote Sensing and GIS methodologies. The process is dependent on soil edge differentiation found in lighter versus darker IR reflectance values from tiled vs. untiled soils patches. Data is collected from various sources and a primary classifier is created using secondary field variables such as soil type, topography and land Use and land cover (LULC). The classifier mask reduces computational time and allows application of various filtering algorithms for detection of edges. The filtered image allows an efficient feature recognition platform allowing the tile drains to be better identified. User defined methods and natural vision based methodologies are also developed or adopted as novel techniques for edge detection. The generated results are validated with field data sets which were established using Ground Penetration Radar (GPR) studies. Overlay efficiency is calculated for each methodology along with omission and commission errors. This comparison yields adaptable and efficient edge detection techniques which can be used for similar areas allowing further development of the tile detection process.

Advisors/Committee Members: Li, Lin, Bayless, E. Randall (Edward Randall), 1961-, Jacinthe, Pierre-André.

Subjects/Keywords: Remote Sensing, GIS; Geographic information systems  – Remote sensing; Hydrology  – Indiana  – Hancock County  – Remote sensing; Hydrology  – Data processing; Drainage  – Research  – Analysis; Water resources development  – Indiana  – Hancock County  – Remote sensing; Watershed management  – Indiana  – Hancock County  – Remote sensing; Ground penetrating radar; Artificial satellites in geographical research; Ecohydrology; Orthophotography  – Indiana  – Hancock County  – Remote sensing; Orthophotomaps; Landforms  – Measurement; Land use  – Indiana  – Hancock County  – Maps; Vector analysis; Spatial analysis (Statistics); Remote sensing  – Data processing; Image processing  – Maps

research is • To be able to identify and detect tile drainage pattern in subsurface drainage… …3 Table 2. Estimated percent cropland with subsurface drainage for Indiana (USDA 1992… …16 Table 7. Vector layer with attribute data for secondary feature analysis… …40 Table 9. Image selection and methodology selection for edge detection analysis… …Overview of data Analysis and processing… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Roy, S. (2014). Remote sensing & GIS applications for drainage detection and modeling in agricultural watersheds. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/4086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Roy, Samapriya. “Remote sensing & GIS applications for drainage detection and modeling in agricultural watersheds.” 2014. Thesis, IUPUI. Accessed January 22, 2020. http://hdl.handle.net/1805/4086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Roy, Samapriya. “Remote sensing & GIS applications for drainage detection and modeling in agricultural watersheds.” 2014. Web. 22 Jan 2020.

Vancouver:

Roy S. Remote sensing & GIS applications for drainage detection and modeling in agricultural watersheds. [Internet] [Thesis]. IUPUI; 2014. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/1805/4086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Roy S. Remote sensing & GIS applications for drainage detection and modeling in agricultural watersheds. [Thesis]. IUPUI; 2014. Available from: http://hdl.handle.net/1805/4086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.