首页> 外文学位 >Simultaneous heat and water model of a snow-residue-soil system.
【24h】

Simultaneous heat and water model of a snow-residue-soil system.

机译:雪渣-土壤系统的同时热力和水力模型。

获取原文
获取原文并翻译 | 示例

摘要

Frozen soil is a major cause of runoff and erosion from many watersheds. Pore-blockage by ice greatly decreases the permeability of soil, causing large runoff and erosion rates from otherwise mild rainfall or snowmelt events. Tillage and residue management greatly affect frost occurrence and depth in agricultural soils, but their effects have been difficult to predict.; A Simultaneous Heat And Water (SHAW) model for evaluating the effects of tillage and residue management on soil freezing has been developed and verified. The SHAW model uses a finite-difference approach to simulate the physics of a one-dimensional snow-residue-soil system. The interrelated processes of heat, water, vapor and solute transfer are calculated through the system from specified atmospheric conditions at the upper boundary to soil conditions at the lower boundary. The model uses inputs of measured or estimated hourly air temperature, wind speed, relative humidity, solar radiation and precipitation to predict snowmelt, evaporation, and profiles of temperature, moisture, ice and solute through the snow-residue-soil system.; Climatic and soil profile data were collected over two winter seasons (1985-86 and 1986-87) on six plots with three tillage treatments and two residue loadings. Maximum frost depth on bare-surface, tilled plots was approximately 30 cm the first year, and 12 cm the second year. Frost depth in residue-covered, no-till plots was about half that of bare-surface, tilled plots.; Data collected over the two winter seasons were used to calibrate and verify the SHAW model. Data for December 1986 from two plots representing the extremes in residue and tillage treatments were used for minor calibration of the model. The model was then verified using data from all six plots over both winter seasons. Soil temperatures, snowmelt, frost depth and moisture contents were predicted quite well for all treatments. The model's capabilities to predict the impacts of different residue, tillage, topographic and environmental conditions are quite good and can be used to evaluate tillage-residue management options for hydrologic and crop production purposes.
机译:冻土是许多流域径流和侵蚀的主要原因。冰块堵塞的孔隙大大降低了土壤的渗透性,并导致了大范围的径流和侵蚀,这是由温和的降雨或融雪事件引起的。耕作和残留物管理极大地影响了农业土壤中霜冻的发生和深度,但其影响难以预测。建立并验证了用于评估耕作和残留物管理对土壤冻结的影响的同时供热(SHAW)模型。 SHAW模型使用有限差分方法来模拟一维积雪-土壤-土壤系统的物理过程。通过系统计算从上边界的特定大气条件到下边界的土壤条件的热量,水,蒸汽和溶质传递的相关过程。该模型使用测量或估计的每小时气温,风速,相对湿度,太阳辐射和降水的输入来预测融雪,蒸发以及通过积雪土壤系统的温度,湿度,冰和溶质的分布。在六个冬季的三个冬季(1985-86年和1986-87年)收集了气候和土壤剖面数据,进行了三种耕作处理和两种残留量。第一年裸露耕地的最大霜冻深度约为30厘米,第二年约为12厘米。残留物覆盖的免耕地块的霜冻深度约为裸耕地耕地的一半。在两个冬季收集的数据用于校准和验证SHAW模型。 1986年12月来自两个地块的数据代表残差和耕作处理的极端情况,用于对该模型进行较小的校准。然后使用来自两个冬季的所有六个地块的数据验证模型。所有处理对土壤温度,融雪,霜冻深度和水分含量的预测都很好。该模型具有预测不同残留物,耕作,地形和环境条件的影响的能力,非常出色,可用于评估水文和作物生产目的的耕作残留管理方案。

著录项

  • 作者

    Flerchinger, Gerald Norman.;

  • 作者单位

    Washington State University.;

  • 授予单位 Washington State University.;
  • 学科 Engineering Agricultural.
  • 学位 Ph.D.
  • 年度 1987
  • 页码 161 p.
  • 总页数 161
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业工程;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号