Macropore component assessment of the root zone water quality model (RZWQM) using no-till soil blocks

被引:0
|
作者
Malone, RW
Shipitalo, MJ
Ma, L
Ahuja, LR
Rojas, KW
机构
[1] USDA, Agr Res Serv, Natl Soil Tilth Lab, Ames, IA 50011 USA
[2] USDA, Agr Res Serv, NAEW, Coshocton, OH USA
[3] USDA, Agr Res Serv, GPRS, Ft Collins, CO USA
来源
TRANSACTIONS OF THE ASAE | 2001年 / 44卷 / 04期
关键词
transport modeling; pesticides; leaching;
D O I
暂无
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
In structured soils, macropores can contribute to rapid movement of water and solutes through the profile. To provide insight into these processes, model assessments should be performed under a variety of conditions. We evaluated the macropore component of the RZWQM using undisturbed soil blocks with natural macropores. To accomplish this, atrazine, alachlor, and bromide were surface-applied to nine 30 X 30 X 30 cm blocks of undisturbed, no-till silt loam soil at three water contents (dry, intermediate, and wet). One hour later, we subjected the blocks to a 0.5-h, 30-mm simulated rain. Percolate was collected and analyzed from 64 uniform size cells at the base of the blocks. After percolation ceased, the soil was sectioned and analyzed to determine chemical distribution. We tested the chemical sub-component of macropore flow using these blocks following hydrologic calibration, while a separate set of blocks was used to calibrate selected chemical parameters. Parameterization of the macropore component included measuring the effective macroporosity (50% of percolate producing macropores) and calibrating the effective soil radius (0.6 cm). The effective soil radius represents the soil surrounding the macropores that interacts with macropore flow. This parameterization strategy resulted in accurate simulations of the composite chemical concentrations in percolate (i.e., all simulated chemical concentrations were within a factor of 2.0 of the average observed value). However, observed herbicide concentration in percolate decreased with cumulative percolate volume, while simulated concentrations increased. Model modifications, such as incorporating a dynamic effective macroporosity (effective macroporosity increase with increasing rainfall) and chemical kinetics in macropores, may improve simulations.
引用
收藏
页码:843 / 852
页数:10
相关论文
共 50 条
  • [31] A Physicoempirical Model for Soil Water Simulation in Crop Root Zone
    Shang Song-Hao
    Mao Xiao-Min
    PEDOSPHERE, 2011, 21 (04) : 512 - 521
  • [32] A Physicoempirical Model for Soil Water Simulation in Crop Root Zone
    SHANG Song-Hao 1
    Pedosphere, 2011, 21 (04) : 512 - 521
  • [33] Evaluation of the root zone water quality model for predicting water and NO3-N movement in an Iowa soil
    Kumar, A
    Kanwar, RS
    Singh, P
    Ahuja, LR
    SOIL & TILLAGE RESEARCH, 1999, 50 (3-4): : 223 - 236
  • [34] Soil quality assessment after weed-control tillage in a no-till wheat-fallow cropping system
    Kettler, TA
    Lyon, DJ
    Doran, JW
    Powers, WL
    Stroup, WW
    SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2000, 64 (01) : 339 - 346
  • [35] Test of the Root Zone Water Quality Model (RZWQM) for predicting runoff of atrazine, alachlor and fenamiphos species from conventional-tillage corn mesoplots
    Ma, QL
    Wauchope, RD
    Ma, L
    Rojas, KW
    Malone, RW
    Ahuja, LR
    PEST MANAGEMENT SCIENCE, 2004, 60 (03) : 267 - 276
  • [36] Evaluation of the root zone water quality model using data from the Iowa MSEA
    Jaynes, DB
    Miller, JG
    AGRONOMY JOURNAL, 1999, 91 (02) : 192 - 200
  • [37] Root zone water quality model sensitivity analysis using Monte Carlo simulation
    Ma, L
    Ascough, JC
    Ahuja, LR
    Shaffer, MJ
    Hanson, JD
    Rojas, KW
    TRANSACTIONS OF THE ASAE, 2000, 43 (04): : 883 - 895
  • [38] Modeling the fate of acetochlor and terbuthylazine in the field using the Root Zone Water Quality Model
    Ma, QL
    Rahman, A
    James, TK
    Holland, PT
    McNaughton, DE
    Rojas, KW
    Ahuja, LR
    SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2004, 68 (05) : 1491 - 1500
  • [39] Root Zone Water Quality Model sensitivity analysis using Monte Carlo simulation
    Ma, L.
    Ascough II, J.C.
    Ahuja, L.R.
    Shaffer, M.J.
    Hanson, J.D.
    Rojas, K.W.
    Transactions of the American Society of Agricultural Engineers, 2000, 43 (04): : 883 - 895
  • [40] Seasonal evaluation of the root zone water quality model in Colorado
    Farahani, HJ
    Buchleiter, GW
    Ahuja, LR
    Peterson, GA
    Sherrod, LA
    AGRONOMY JOURNAL, 1999, 91 (02) : 212 - 219