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您的检索式：作者名="Scott B.JONES"
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| 1 | Electromagnetic induction mapping at varied soil moisture reveals field-scale soil textural patterns and gravel lenses显示文摘Knowledge of the spatial distribution of soil textural properties is important for determining soil moisture storage and soil hydraulic transport properties.Capturing field heterogeneity without exhaustive sampling and costly sample analysis is difficult. Our objective was to employ electromagnetic induction(EMI) mapping in low apparent electrical conductivity(EC_a) soils at varying soil water contents to capture time invariant properties such as soil texture. Georeferenced EC_ameasurements were taken using a ground conductivity meter on six different days where volumetric water content(θ_v) varied from 0.11 to 0.23. The 50 m × 50 m field included a subsurface gravelly patch in an otherwise homogeneous silt-loam alluvial soil.Ordinary block kriging predicted EC_aat unsampled areas to produce 1-m resolution maps. Temporal stability analysis was used to divide the field into three distinct EC_a regions. Subsequent ground-truthing confirmed the lowest conductivity region correlated with coarse textured soil parent materials associated with a former high-energy alluvial depositional area. Combining maps using temporal stability analysis gives the clearest image of the textural difference. These maps could be informative for modeling,experimental design, sensor placement and targeted zone management strategies in soil science, ecology, hydrology,and agricultural applications. | Hiruy ABDU David A.ROBINSON Janis BOETTINGER Scott B.JONES | 2017 | Frontiers of Agricultural Science and Engineering2017，4，2： | 2 |
| 2 | Modeling temperature and moisture dependent emissions of carbon dioxide and methane from drying dairy cow manure显示文摘Greenhouse gas emissions due to biological degradation processes of animal wastes are significant sources of air pollution from agricultural areas. The major environmental controls on these microbe-induced gas fluxes are temperature and moisture content. The objective of this study was to model the effects of temperature and moisture content on emissions of CO2 and CH4 during the ambient drying process of dairy manure under controlled conditions. Gas emissions were continuously recorded over 15 d with paired fully automated closed dynamic chambers coupled with a Fourier Transformed Infrared gas analyzer. Water content and temperature were measured and monitored with capacitance sensors. In addition, on days 0, 3, 6, 9, 12 and 15, p H, moisture content, dissolved organic carbon and total carbon(TC) were determined. An empirical model derived from the Arrhenius equation confirmed high dependency of carbon emissions on temperature and moisture content. Results indicate that for the investigated dairy manure, 6.83% of TC was lost in the form of CO2 and 0.047% of TC was emitted as CH4.Neglecting the effect of temperature, the moisture contents associated with maximum gas emissions were estimated as0.75 and 0.79 g$g–1 for CO2 and CH4, respectively. | Enzhu HU Pakorn SUTITARNNONTR Markus TULLER Scott B.JONES | 2018 | Frontiers of Agricultural Science and Engineering2018，5，2： | 0 |
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