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Estimating seasonal agricultural irrigation water use in Michigan: Field-level evaluation of the Michigan Water Use Reporter.

机译:估算密歇根州季节性农业灌溉用水量:《密歇根州用水报告》的现场评估。

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摘要

The Michigan Water Use Reporter (MWUR) model is a simulation designed to estimate water use from irrigated agriculture in the state of Michigan. The model was developed by Moen (1999) but had never been evaluated against actual grower reported irrigation amounts. The evaluation of this model took place with data from the 2002 and 2003 growing season. Twenty-one fields across central and southern lower Michigan were used as study sites. Volumetric soil moisture and seasonal irrigation water depths were recorded from each site and used to test the simulation. Validation of the simulation was conducted in two stages. First, seasonal irrigation water volumes were compared, using descriptive statistics, to simulated season irrigation output. Second, simulated volumetric soil moisture were validated using field measurements from a capacitance probe. A sensitivity analysis of managerial and crop physiological parameters was conducted after validation. Depth per irrigation, irrigation trigger level, planting date, and root growth rate were analyzed. The simulation tended to overestimate both seasonal irrigation water depth and volumetric soil moisture across all crops. The sensitivity analysis found depth per irrigation and trigger level were by far the most sensitive parameters. These tests indicate the model, while demonstrating sound hydrology, does not properly characterize the methods grower use to decide when to irrigate. Better parameterization of these methods will result in a more robust simulation.
机译:密歇根州用水报告者(MWUR)模型是一种模拟模型,用于估算密歇根州灌溉农业的用水量。该模型是由Moen(1999)开发的,但从未根据实际的种植者报告的灌溉量进行评估。使用2002年和2003年生长季节的数据对该模型进行了评估。横跨密歇根州中部和南部的二十一个田地被用作研究地点。记录每个站点的土壤含水量和季节性灌溉水深度,并将其用于测试模拟。仿真的验证分两个阶段进行。首先,使用描述性统计数据将季节性灌溉用水量与模拟季节灌溉输出进行比较。其次,使用电容探头的现场测量结果验证了模拟的土壤水分含量。验证后进行管理和作物生理参数的敏感性分析。分析了每次灌溉的深度,灌溉触发水平,播种日期和根系生长速率。模拟趋于高估所有农作物的季节性灌溉水深和土壤含水量。敏感性分析发现,到目前为止,每次灌溉的深度和触发水平是最敏感的参数。这些测试表明,该模型在演示合理的水文功能时,并未正确地描述种植者用来决定何时灌溉的方法。这些方法的更好的参数化将导致更强大的仿真。

著录项

  • 作者

    Nugent, Colin R.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Agriculture Agronomy.; Geography.
  • 学位 M.A.
  • 年度 2004
  • 页码 95 p.
  • 总页数 95
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农学(农艺学);自然地理学;
  • 关键词

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