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  • Petersen, G. W.  (4)
  • Geography  (4)
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  • Geography  (4)
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  • 1
    Online Resource
    Online Resource
    Wiley ; 1986
    In:  Soil Science Society of America Journal Vol. 50, No. 2 ( 1986-03), p. 273-276
    In: Soil Science Society of America Journal, Wiley, Vol. 50, No. 2 ( 1986-03), p. 273-276
    Abstract: Percolation times and saturated hydraulic conductivity rates from 28 test holes were used with data from the literature to relate saturated hydraulic conductivity, K , to percolation time, P . Sites were chosen to represent seven central and western Pennsylvania soils developed in shale and sandstone colluvium, alluvium, glacial outwash, or residual limestone parent materials. Saturated hydraulic conductivity was determined by the shallow well pump‐in method, an in‐situ test that measures three‐dimensional water flow into the soil. Percolation time was determined using a modification of approved procedures of the Environmental Protection Agency and the Pennsylvania Dep. of Environmental Resources. Linear regression analysis performed on the base 10 logarithm of the 28 pairs of data from this study resulted in the equation: log K = −0.309 log P −4.296 (with P in units of s/m and K in units of m/s). This equation was compared to an equation derived from literature data and to a steady‐state three‐dimensional infiltration equation derived from soil‐water flow theory. It was concluded that the literature data and the theoretical equation were different from that generated in this study due to the use of a saturated hydraulic conductivity technique that was sensitive to the layered nature of the soils used. It was further concluded that an equation derived from theory, log K = ‐log ( P ) − log (1 + 4/πα r o ), could be used to convert percolation times, P , to saturated hydraulic conductivity values, K .
    Type of Medium: Online Resource
    ISSN: 0361-5995 , 1435-0661
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 1986
    detail.hit.zdb_id: 241415-6
    detail.hit.zdb_id: 2239747-4
    detail.hit.zdb_id: 196788-5
    detail.hit.zdb_id: 1481691-X
    SSG: 13
    SSG: 21
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Wiley ; 2006
    In:  Soil Science Society of America Journal Vol. 70, No. 1 ( 2006-01), p. 78-83
    In: Soil Science Society of America Journal, Wiley, Vol. 70, No. 1 ( 2006-01), p. 78-83
    Abstract: Soil classification systems are not consistent among countries or organizations thereby hindering the communication and organizational functions they are intended to promote. The development of translations between systems will be critical for overcoming the gap in understanding that has resulted from the lack of a single internationally accepted classification system. This paper describes the application of a process that resulted in the translation of the Genetic Soil Classification of China (GSCC) to Soil Taxonomy (ST). A brief history of soil classification in China is also provided to familiarize readers with GSCC and its origins. Genetic Soil Classification of China is the attribute base for the recently assembled digital form of the 1:1 000 000 soil map of The People's Republic of China. The translation between GSCC and ST was based on profile, chemical, and physical descriptions of 2540 soil series. First, the 2540 soil series were classified to their equivalent soil order, suborder, great group, and subgroup according to ST and GSCC subgroup descriptors. Order names for both classification systems were then linked to corresponding map units in the 1:1 000 000 digital soil map of China using a geographic information system (GIS). Differences in classification criteria and in the number of orders of the two systems (there are more GSCC orders than ST orders) meant that each GSCC order could possibly be assigned to more than one ST order. To resolve the differences, the percent correspondence in area between orders was determined and used as the criterion for assigning GSCC orders to ST orders. Some percentages of correspondence were low so additional processing was used to improve the assignment process. The GSCC suborders were then matched with ST orders. When the area for each order was summarized, the percentage of correspondence increased except for two subgroups in the Ferrasols order.
    Type of Medium: Online Resource
    ISSN: 0361-5995 , 1435-0661
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2006
    detail.hit.zdb_id: 241415-6
    detail.hit.zdb_id: 2239747-4
    detail.hit.zdb_id: 196788-5
    detail.hit.zdb_id: 1481691-X
    SSG: 13
    SSG: 21
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    Wiley ; 1969
    In:  Soil Science Society of America Journal Vol. 33, No. 6 ( 1969-11), p. 942-946
    In: Soil Science Society of America Journal, Wiley, Vol. 33, No. 6 ( 1969-11), p. 942-946
    Abstract: The variability of percolation test results is influenced by a complex association of soil and environmental characteristics. Statistical evaluation of 250 sites indicated considerable percolation test rate variation of individual tests within a single site. The variability of individual tests between sites on the same soil series was generally greater than the variability of individual tests within sites. The variation between sites on different soil series was even greater. The percent silt and coarse fragments of the subsoil were positively correlated with percolation rates, and percent clay and drainage class were negatively correlated. Factors not significantly correlated were bulk density, color value and percent sand in the subsoil, depth to bedrock, and depth classes. Variables, evaluated by analysis of variance, that showed significant relation to percolation rates were certain moist and wet subsoil consistence, grade of subsoil structure; subsoil texture, drainage classes, fragipans, parent material, slope class, and surface coarse fragments. Soil depth classes, color chromas and color values did not appear to be significantly related to percolation rates. The field designated permeability classes recorded during soil profile description, were generally lower than the determined percolation rates. Soil drainage classes were found to be closely related to percolation rates, with 82% of the moderately well, somewhat poorly, and poorly drained sites having rates slower than 2.5 cm/hour, and 76% of the 140 well‐drained sites having rates greater than 2.5 cm/hour.
    Type of Medium: Online Resource
    ISSN: 0361-5995 , 1435-0661
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 1969
    detail.hit.zdb_id: 241415-6
    detail.hit.zdb_id: 2239747-4
    detail.hit.zdb_id: 196788-5
    detail.hit.zdb_id: 1481691-X
    SSG: 13
    SSG: 21
    Location Call Number Limitation Availability
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  • 4
    Online Resource
    Online Resource
    Wiley ; 1976
    In:  Soil Science Society of America Journal Vol. 40, No. 5 ( 1976-09), p. 773-776
    In: Soil Science Society of America Journal, Wiley, Vol. 40, No. 5 ( 1976-09), p. 773-776
    Abstract: Surface soil moisture was measured within the upper 15 cm using neutron‐scattering equipment on six soil series within a 57.8‐ha Pennsylvania watershed during the 19 May to 11 Nov. 1971 period. Surface soil moisture was responsive to individual storm events, showed discernible seasonal trends, and displayed larger fluctuations at higher moisture levels than at lower moisture levels. An analysis of variance showed that well‐drained soils had significantly different surface soil moisture levels than the more poorly drained soils and could be grouped into a hydrologic unit distinct from the more poorly drained soils. Surface soil moisture measurements along parallel transects approximately perpendicular to the slope contours showed high surface soil moisture contents proximal to the stream indicating that these areas contribute more to surface runoff in a shorter period of time than areas distant from the stream channel. Multiple regression equations using pan evaporation and surface soil moisture for each soil series were used to show the relative importance of the internal soil drainage class in predicting surface runoff.
    Type of Medium: Online Resource
    ISSN: 0361-5995 , 1435-0661
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 1976
    detail.hit.zdb_id: 241415-6
    detail.hit.zdb_id: 2239747-4
    detail.hit.zdb_id: 196788-5
    detail.hit.zdb_id: 1481691-X
    SSG: 13
    SSG: 21
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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