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Assessment of irrigation use on crop yield and water supplies in the Midwestern U.S.

机译:评估美国中西部灌溉用水对作物产量和供水的影响

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摘要

Climate plays an important role in many aspects of hydrological and agricultural systems. Temperature and precipitation are usually the main forcing inputs for hydrological and agricultural simulations, while wind effect has generally been neglected in previous research. Wind speed is, however, an important factor for many physical processes, including evaporation from soil, and transpiration from plants. In order to investigate how climate variability impacts agricultural production, there are three hypotheses addressed in this dissertation. Hypothesis 1 is that the representation of changing wind speed will play an important role in the simulation of hydrological processes, and that the effect of wind speed will directly affect soil hydrology and evapotranspiration. Hypothesis 1 is tested using a factor separation analysis to quantify the contribution of projected future wind speed to hydrologic change under future climate. The result showed that changes in wind speed affected soil hydrology and evapotranspiration directly.;Hypothesis 2 is that the application of irrigation will be significantly beneficial for crop productivity in the future as it will mitigate risk associated with water deficits in the growing season, Regional farmers are expected to rely more on irrigation to mitigate risk due to increased climate variability in the future, resulting in a substantial increase in its use. This hypothesis is tested through the analysis of changes in crop (corn and soybean) yield due to climate change between historical and future periods using the VIC-CropSyst model, which incorporates a cropping system model, the CropSyst, model, into a large-scale hydrology model, the VIC model. First the effect of climate change on non-irrigated crop yields is quantified, then the ability of irrigation to mitigate crop yield losses due to changes in climate are quantified. Application of irrigation is found to improve corn yield by up to 5% and soybean yield by 20%, compared to the non-irrigated future scenario. In addition, irrigation is found to have significantly mitigated the impact of climate uncertainty on crop yield, with more benefits for soybean yield than for corn yield. This analysis addressed Hypothesis 2 and showed that irrigation is significantly beneficial for crop productivity and mitigates the impact of future changes in temperature and precipitation, meaning risk associated with water deficits in the growing season can be decreased using irrigation.;Hypothesis 3 is that the increased use of irrigation on historically rain-fed crops will affect regional water use significantly, increasing the risk of water supply deficits in the crop growing season. The assessment of water footprint in addition to the previous analysis of irrigation impact on crop yield, found that irrigation leads to significant increases in the blue water footprint. The assessment addressed Hypothesis 3 and suggested that irrigation on traditional rain-fed crops will affect regional water use significantly. However, we cannot assess the risk of water supply deficits because irrigation use is unrestricted in the model.
机译:气候在水文和农业系统的许多方面起着重要作用。温度和降水通常是水文和农业模拟的主要强迫输入,而以前的研究通常忽略了风的影响。然而,风速是许多物理过程的重要因素,包括土壤蒸发和植物蒸腾作用。为了研究气候变化如何影响农业生产,本文提出了三个假设。假设1是风速变化的表示将在模拟水文过程中发挥重要作用,而风速的影响将直接影响土壤水文和蒸散量。假设1使用因子分离分析进行了测试,以量化预计未来风速对未来气候下水文变化的贡献。结果表明,风速的变化直接影响土壤水文和蒸散量。假设2:灌溉的应用将对未来的作物生产力产生显着的好处,因为它将减轻与生长季缺水有关的风险,区域农民由于未来气候变化加剧,预计人们将更多地依靠灌溉来减轻风险,从而导致其使用量大幅度增加。通过使用VIC-CropSyst模型分析历史和未来时期之间由于气候变化导致的农作物(玉米和大豆)产量变化来检验该假设,该模型将农作物系统模型CropSyst模型纳入了大规模水文模型,VIC模型。首先,量化气候变化对非灌溉作物产量的影响,然后量化灌溉减轻由于气候变化而造成的作物产量损失的能力。与未灌溉的未来情景相比,灌溉的应用可将玉米产量提高多达5%,将大豆产量提高20%。此外,发现灌溉已大大减轻了气候不确定性对农作物产量的影响,大豆产量的收益大于玉米产量的收益。该分析针对假设2进行了分析,结果表明灌溉对作物生产力具有显着的益处,并减轻了未来温度和降水变化的影响,这意味着可以通过灌溉减少与生长期缺水有关的风险;假设3可以通过增加灌溉来降低假设在历史上以雨养作物上使用灌溉将严重影响区域用水,从而增加作物生长期缺水的风险。除了对灌溉对作物产量的影响进行以前的分析之外,对水足迹的评估还发现,灌溉导致蓝色水足迹的显着增加。该评估针对假设3,并建议对传统的雨养作物进行灌溉将严重影响区域用水。但是,由于模型中的灌溉使用不受限制,因此我们无法评估供水不足的风险。

著录项

  • 作者

    Chen, Wei-Chih.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Agricultural.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 155 p.
  • 总页数 155
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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