相关实验视频
Updated: Sep 9, 2025

12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
8.1K
用于人类水系统建模的社会价值,技术和政策的定量数据集
Shuanglei Wu1,2, Yongping Wei3, Jing Wei4
1School of Public Policy and Management, Guangxi University, Nanning, 530004, China.
Scientific data
|September 1, 2025
概括
这项研究介绍了水价值,技术和政策的定量数据集. 这些资源有助于人们更好地了解影响人类与水的交互和做法的社会因素.
科学领域:
- 环境科学
- 社会科学
- 水资源管理
背景情况:
- 人与水的互动是由动态的社会因素塑造的:价值观,技术和政策.
- 目前的模型往往忽略了这些因素的累积过程,限制了对水务实践变化的解释.
研究的目的:
- 开发基于过程的定量数据集,以分析人类水系统中的价值,技术和政策的相互作用.
- 通过捕捉社会变革驱动因素,为改善人类水系统建模提供基础.
主要方法:
- 包括报纸文章,公众提交,古老技术,专利和水政策文件的九个数据集.
- 一个一致的四步内容分析方法来编码五个关键元素:时间,地点,演员,主题和视角/色调.
- 跨编码器可靠性测试,以确保数据在不同空间和时间尺度上的一致性和有效性.
主要成果:
- 创建综合数据集,反映各种水价值,技术进步和政策框架.
- 量化影响人类与水的社会因素在长期和各种地理范围.
- 建立一个强大的方法来分析与水有关的社会动态的历史演变.
结论:
- 开发的数据集为人类水系统的社会影响提供了新的,以过程为导向的视角.
- 这些资源对于推进人类时代模型的准确性和解释能力至关重要.
- 帮助人们更深入地了解水资源的复杂社会驱动因素和管理策略.
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