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Modeling human interferences to hydrologic systems.

机译：模拟人为干扰水文系统。

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摘要

Hydrologic systems have been interfered by human activities directly or indirectly at various scales and human increasingly becomes a significant component of the hydrologic cycle. It no longer makes sense to study only natural hydrological cycles in river basins where human impacts on natural processes are intensive and extensive. Understanding and predicting the effects of indirect human interferences, such as land use change and urbanization or climate change, have been and will still be a topic of hydrologic research. Recently, researchers attempt to incorporate direct human interferences such as irrigation, groundwater pumping, return flow, and reservoir operation into hydrologic simulation models. Conventionally, direct human interferences are added or subtracted from water balance outside of the modeling systems by assuming a linear relationship between the human and natural systems. However, nonlinear impacts of human interferences and nonlinear response of water storage and flows may exist because of the temporal change of water uses, the dynamics of natural processes, and the interaction between the two. Thus direct human interferences should be modeled as endogenous variables in order to understand the interaction within the coupled human and natural systems.;However, current data availability of human activities is limited and water use data involve considerable uncertainties. Corresponding to this issue, the goal of this thesis research is to improve the understanding of the coupled human and hydrological systems by detecting, estimating and modeling both indirect and direct human interferences. This thesis research is expected to advance more accurate understanding of human interferences to hydrologic systems, as well as providing new methodology to study heavily managed watersheds as coupled human-natural systems. The broader impact of the scientific exploration includes: (1) water use estimation -- an extension of the irrigation scheduling approach; (2) farmers' behavior of water use, which, if coupled with economic analysis, may be used to explain water use decisions and derive implications for water saving; (3) methodology in dealing with comprehensive input errors in hydrologic modeling, which attempts to bring human input data errors to the attention of hydrologic modeling community; and (4) new sequential data assimilation approaches, which are expected to be used for other problems.
机译：水文系统已经受到人类活动的直接或间接的各种规模的干扰，人类日益成为水文循环的重要组成部分。仅研究人类对自然过程的影响是广泛而广泛的流域中的自然水文循环不再有意义。了解和预测间接人类干扰的影响，例如土地用途的变化和城市化或气候变化，一直是并将仍然是水文学研究的主题。最近，研究人员尝试将直接的人为干扰（例如灌溉，地下水泵送，回流和水库运行）纳入水文模拟模型中。通常，通过假设人与自然系统之间的线性关系，在模型系统之外的水平衡中添加或减少直接的人为干扰。但是，由于用水的时间变化，自然过程的动力学以及两者之间的相互作用，可能会存在人为干扰的非线性影响以及水存储和流量的非线性响应。因此，应将直接的人为干扰建模为内生变量，以了解人与自然系统之间的相互作用。但是，当前人类活动的数据可用性有限，用水数据存在很大的不确定性。对应于这个问题，本论文的研究目的是通过检测，估计和建模人类的间接和直接干扰来增进对人类和水文系统耦合的理解。本论文的研究有望促进对人类对水文系统干扰的更准确的理解，并提供新的方法来研究作为人与自然系统耦合的集约化管理流域。科学探索的广泛影响包括：（1）用水量估算-灌溉调度方法的扩展； （2）农民的用水行为，如果结合经济分析，可以用来解释用水决策并得出节水的意义； （3）处理水文模型综合输入错误的方法，试图使人为输入数据错误引起水文建模界的注意； （4）新的顺序数据同化方法，有望用于其他问题。

著录项

  • 作者

    Wang, Dingbao.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 237 p.
  • 总页数 237
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:38:19

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