A Comparison and Validation of Saturated Hydraulic Conductivity Models

被引:23
|
作者
Gootman, Kaylyn S. [1 ]
Kellner, Elliott [1 ,2 ]
Hubbart, Jason A. [1 ,2 ,3 ]
机构
[1] West Virginia Univ, Inst Water Secur & Sci, Agr Sci Bldg, Morgantown, WV 26506 USA
[2] West Virginia Univ, Div Plant & Soil Sci, Davis Coll Agr Nat Resources & Design, Agr Sci Bldg, Morgantown, WV 26506 USA
[3] West Virginia Univ, Div Forestry & Nat Resources, Davis Coll Agr Nat Resources & Design, Agr Sci Bldg, Morgantown, WV 26506 USA
基金
美国食品与农业研究所; 美国国家科学基金会;
关键词
saturated hydraulic conductivity; pedotransfer function; model validation; Chesapeake Bay Watershed; experimental watershed study; PARTICLE-SIZE DISTRIBUTION; GRAIN-SIZE; PEDOTRANSFER FUNCTIONS; GROUNDWATER-FLOW; AQUIFER; SOILS; PERMEABILITY; SYSTEM; YIELD; VARIABILITY;
D O I
10.3390/w12072040
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Saturated hydraulic conductivity (K-sat) is fundamental to shallow groundwater processes. There is an ongoing need for observed and model validatedK(sat)values. A study was initiated in a representative catchment of the Chesapeake Bay Watershed in the Northeast USA, to collect observedK(sat)and validate fiveK(sat)pedotransfer functions. Soil physical characteristics were quantified for dry bulk density (bdry), porosity, and soil texture, whileK(sat)was quantified using piezometric slug tests. Averagebdryand porosity ranged from 1.03 to 1.30 g/cm(3)and 0.51 to 0.61, respectively. Surface soil (0-5 cm)bdryand porosity were significantly (p< 0.05) lower and higher, respectively, than deeper soils (i.e., 25-30 cm; 45-50 cm).bdryand porosity were significantly different with location (p< 0.05). Average soil composition was 92% sand. AverageK(sat)ranged from 0.29 to 4.76 m/day and significantly differed (p< 0.05) by location. Four models showed that spatial variability in farm-scaleK(sat)estimates was small (CV < 0.5) and one model performed better whenK(sat)was 1.5 to 2.5 m/day. The two-parameter model that relied on silt/clay fractions performed best (ME = 0.78 m/day; SSE = 20.68 m(2)/day(2); RMSE = 1.36 m/day). Results validate the use of simple, soil-property-based models to predictK(sat), thereby increasing model applicability and transferability.
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页数:19
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