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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
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Watershed Planning within a Quantitative Scenario Analysis Framework
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归因方法的适用性,用于识别在不断变化的环境中流失的变化.

Tingting Huang1,2, Yu Liu3, Zhifeng Jia4,5

  • 1School of Water and Environment, Chang'an University, Xi'an, 710054, China.

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概括

根据一项比较归因方法的研究,人类活动在京河流域的流水流量减少了90%以上. 对于类似的分析,建议使用Milly-Zhang Budyko假设.

关键词:
环境的变化 环境的变化京河流域 京河流域土地使用和覆盖面的变化.定量识别 定量识别 定量识别排水过程中的排水.

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科学领域:

  • 水文学的水文学
  • 气候科学 气候科学
  • 环境管理环境管理

背景情况:

  • 精确评估流域流失变化对于气候变化和人类影响下的水资源管理至关重要.
  • 存在各种方法来归因流失变化,但它们的适用性因环境环境而异.

研究的目的:

  • 量化评估人类活动和气候变化对京河流域 (JRB) 排水变化的影响.
  • 在特定的河流流域中比较五种不同的归因方法的有效性.

主要方法:

  • 对五种流水归因方法的比较分析:双重质量曲线 (DMC),土壤和水评估工具 (SWAT) 和三个Budyko假设 (Fu,ChoudhuryYang,MillyZhang).
  • 这些方法应用于京河流域的水文数据.

主要成果:

  • 在JRB的年流量显著下降.
  • 人类活动被确定为主要驱动因素,占排水减少的90%以上.
  • SWAT模型和Budyko假设 (除了DMC) 显示了一致的结果.
  • 纳入植被变化的MillyZhang Budyko假设,与SWAT模型模拟密切匹配.

结论:

  • 人类活动是JRB近期流量下降的主要因素.
  • 在Loess高原地区推MillyZhang Budyko假设进行下游归因分析,因为它与SWAT模型的一致性以及对植被动态的考虑.
  • 对于非降水驱动的水文变化盆地,DMC方法不太适合.