Spatial Series Analysis of Horizontal Cores to Characterize Tracer Patterns in Soil Profiles
Surface topography, plant canopy, plant root distribution, and soil preferential flow paths cause variability in downward movement of agrichemicals in soil. To better understand this variability, tracers are often applied to the soil surface and their signatures (concentration patterns) are examined...
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Veröffentlicht in: | Soil Science Society of America journal 1997-07, Vol.61 (4), p.1018-1023 |
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creator | Powers, W. L. Shea, P. J. Troyer, W. Verhoeff, R. L. Parkhurst, A. M. |
description | Surface topography, plant canopy, plant root distribution, and soil preferential flow paths cause variability in downward movement of agrichemicals in soil. To better understand this variability, tracers are often applied to the soil surface and their signatures (concentration patterns) are examined. To characterize Br− signatures within a Crete silt loam soil (fine, montmorillonitic, mesic Pachic Argiustoll), potassium bromide was applied to the soil surface at 200 kg ha−1. Four sets (two sets in June and two sets in August) of four 6.1‐m horizontal cores were taken in a vertical plane, perpendicular to corn plant rows at 20‐, 40‐, 80‐, and 120‐cm depths. Each 6.1‐m core was divided into 120 5.1‐cm sections and analyzed for Br−. Spatial series analyses were used to identify deterministic and combined deterministic‐stochastic models that described the cyclic nature of Br− concentrations at each depth. Periods for these sinusoidal cycles generally corresponded to the distance between plant rows or the distance between the wheel tracks of field equipment. |
doi_str_mv | 10.2136/sssaj1997.03615995006100040004x |
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Spatial series analyses were used to identify deterministic and combined deterministic‐stochastic models that described the cyclic nature of Br− concentrations at each depth. Periods for these sinusoidal cycles generally corresponded to the distance between plant rows or the distance between the wheel tracks of field equipment.</description><identifier>ISSN: 0361-5995</identifier><identifier>EISSN: 1435-0661</identifier><identifier>DOI: 10.2136/sssaj1997.03615995006100040004x</identifier><identifier>CODEN: SSSJD4</identifier><language>eng</language><publisher>Madison, WI: Soil Science Society of America</publisher><subject>Agronomy. Soil science and plant productions ; Applied sciences ; Biological and medical sciences ; Cores ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; Groundwaters ; Hydrogeology ; Hydrology. 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L.</creatorcontrib><creatorcontrib>Shea, P. J.</creatorcontrib><creatorcontrib>Troyer, W.</creatorcontrib><creatorcontrib>Verhoeff, R. L.</creatorcontrib><creatorcontrib>Parkhurst, A. M.</creatorcontrib><title>Spatial Series Analysis of Horizontal Cores to Characterize Tracer Patterns in Soil Profiles</title><title>Soil Science Society of America journal</title><description>Surface topography, plant canopy, plant root distribution, and soil preferential flow paths cause variability in downward movement of agrichemicals in soil. To better understand this variability, tracers are often applied to the soil surface and their signatures (concentration patterns) are examined. To characterize Br− signatures within a Crete silt loam soil (fine, montmorillonitic, mesic Pachic Argiustoll), potassium bromide was applied to the soil surface at 200 kg ha−1. Four sets (two sets in June and two sets in August) of four 6.1‐m horizontal cores were taken in a vertical plane, perpendicular to corn plant rows at 20‐, 40‐, 80‐, and 120‐cm depths. Each 6.1‐m core was divided into 120 5.1‐cm sections and analyzed for Br−. Spatial series analyses were used to identify deterministic and combined deterministic‐stochastic models that described the cyclic nature of Br− concentrations at each depth. Periods for these sinusoidal cycles generally corresponded to the distance between plant rows or the distance between the wheel tracks of field equipment.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Cores</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. 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Hydrogeology</subject><subject>Natural water pollution</subject><subject>Physical properties</subject><subject>Physics</subject><subject>Physics, chemistry, biochemistry and biology of agricultural and forest soils</subject><subject>Pollution</subject><subject>Silt loam</subject><subject>Soil and water pollution</subject><subject>Soil profiles</subject><subject>Soil science</subject><subject>Soil surfaces</subject><subject>Soils</subject><subject>Spatial analysis</subject><subject>Stochastic models</subject><subject>Water and solute dynamics</subject><subject>Water treatment and pollution</subject><issn>0361-5995</issn><issn>1435-0661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><recordid>eNqVkV1LHDEUhoNUcKv-hyClXo3N9yRXZVlqbREURsELIZwdMzTLONnmzFLXX98MK14UKQj5Iu-T94TzEnLK2Zng0nxBRFhx5-ozJg3XzmnGDGeMqWk-7ZEZV1JXzBj-gcwmppqgA_IRccVYecHYjNw3axgj9LQJOQak8wH6LUakqaMXKcfnNIxFXaRcxDHRxS_I0I4Ffg70phxDptcwlosBaRxok2JPr3PqYh_wiOx30GM4ftkPye35t5vFRXV59f3HYn5ZgWb8rhIGyseks3bJHdigW8tNMA9cg7WgrDHKitYVQQjVuXbpjDJK8gfGwC27Th6S053vOqffm4Cjf4zYhr6HIaQN-lpJVZdRF_Lzf0luuJBKiwKe_AOu0iaX5qAX3DBdW6kK9HUHtTkh5tD5dY6PkLeeMz-F5F9D8m-GVBw-vZQBbKHvMgxtxFcbYbWSwhbM77A_pa3b91bxzfynaJqyTsxbyJ38Cy-srLY</recordid><startdate>199707</startdate><enddate>199707</enddate><creator>Powers, W. L.</creator><creator>Shea, P. J.</creator><creator>Troyer, W.</creator><creator>Verhoeff, R. L.</creator><creator>Parkhurst, A. M.</creator><general>Soil Science Society of America</general><general>American Society of Agronomy</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>7QO</scope><scope>KR7</scope></search><sort><creationdate>199707</creationdate><title>Spatial Series Analysis of Horizontal Cores to Characterize Tracer Patterns in Soil Profiles</title><author>Powers, W. L. ; Shea, P. J. ; Troyer, W. ; Verhoeff, R. L. ; Parkhurst, A. M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a501X-26a9953988b19a8e5c816e6d15a88a4866482c98e5224f9cb9646431d00a9bff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Agronomy. Soil science and plant productions</topic><topic>Applied sciences</topic><topic>Biological and medical sciences</topic><topic>Cores</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Groundwaters</topic><topic>Hydrogeology</topic><topic>Hydrology. Hydrogeology</topic><topic>Natural water pollution</topic><topic>Physical properties</topic><topic>Physics</topic><topic>Physics, chemistry, biochemistry and biology of agricultural and forest soils</topic><topic>Pollution</topic><topic>Silt loam</topic><topic>Soil and water pollution</topic><topic>Soil profiles</topic><topic>Soil science</topic><topic>Soil surfaces</topic><topic>Soils</topic><topic>Spatial analysis</topic><topic>Stochastic models</topic><topic>Water and solute dynamics</topic><topic>Water treatment and pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Powers, W. L.</creatorcontrib><creatorcontrib>Shea, P. J.</creatorcontrib><creatorcontrib>Troyer, W.</creatorcontrib><creatorcontrib>Verhoeff, R. L.</creatorcontrib><creatorcontrib>Parkhurst, A. 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M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial Series Analysis of Horizontal Cores to Characterize Tracer Patterns in Soil Profiles</atitle><jtitle>Soil Science Society of America journal</jtitle><date>1997-07</date><risdate>1997</risdate><volume>61</volume><issue>4</issue><spage>1018</spage><epage>1023</epage><pages>1018-1023</pages><issn>0361-5995</issn><eissn>1435-0661</eissn><coden>SSSJD4</coden><abstract>Surface topography, plant canopy, plant root distribution, and soil preferential flow paths cause variability in downward movement of agrichemicals in soil. To better understand this variability, tracers are often applied to the soil surface and their signatures (concentration patterns) are examined. To characterize Br− signatures within a Crete silt loam soil (fine, montmorillonitic, mesic Pachic Argiustoll), potassium bromide was applied to the soil surface at 200 kg ha−1. Four sets (two sets in June and two sets in August) of four 6.1‐m horizontal cores were taken in a vertical plane, perpendicular to corn plant rows at 20‐, 40‐, 80‐, and 120‐cm depths. Each 6.1‐m core was divided into 120 5.1‐cm sections and analyzed for Br−. Spatial series analyses were used to identify deterministic and combined deterministic‐stochastic models that described the cyclic nature of Br− concentrations at each depth. Periods for these sinusoidal cycles generally corresponded to the distance between plant rows or the distance between the wheel tracks of field equipment.</abstract><cop>Madison, WI</cop><pub>Soil Science Society of America</pub><doi>10.2136/sssaj1997.03615995006100040004x</doi><tpages>6</tpages></addata></record> |
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subjects | Agronomy. Soil science and plant productions Applied sciences Biological and medical sciences Cores Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology Groundwaters Hydrogeology Hydrology. Hydrogeology Natural water pollution Physical properties Physics Physics, chemistry, biochemistry and biology of agricultural and forest soils Pollution Silt loam Soil and water pollution Soil profiles Soil science Soil surfaces Soils Spatial analysis Stochastic models Water and solute dynamics Water treatment and pollution |
title | Spatial Series Analysis of Horizontal Cores to Characterize Tracer Patterns in Soil Profiles |
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