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Updated: Jun 22, 2025

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In Situ Soil Moisture Sensors in Undisturbed Soils
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指标指标和时间聚合引入了对水资源短缺估计的模两可
Fitsume T Wolkeba1, Mesfin M Mekonnen2, Kate A Brauman3
1Department of Civil, Construction, and Environmental Engineering, University of Alabama, Tuscaloosa, AL, USA. fwolkeba@crimson.ua.edu.
Scientific reports
|July 2, 2024
概括
估计全球水资源短缺的影响在很大程度上取决于所选择的指标和计算方法. 不同的方法揭示了极其不同的人口暴露,强调了需要仔细选择方法的必要性.
科学领域:
- 环境科学环境科学
- 水文学的水文学
- 水资源管理水资源的管理.
背景情况:
- 缺水是一个关键的全球问题,影响数十亿人.
- 精确的人口暴露评估对于有效的水资源管理至关重要.
研究的目的:
- 系统地评估不同缺水指标和计算方法如何影响全球人口暴露估计.
- 分析空间和时间分辨率对缺水影响评估的影响.
主要方法:
- 评估了7个缺水指标和11个环境流量要求 (EFR) 指标.
- 在各种空间分辨率 (盆地与网格) 和时间分辨率 (每月与年度) 中对人口暴露估计进行了比较.
- 分析了自1901年以来水资源短缺的趋势.
主要成果:
- 所有指标都显示,自1901年以来,水资源稀缺率有所增加.
- 与分布式网格数据相比,空间聚合盆地规模的月度估计低估了暴露人口的35%.
- 时间分类估计 (至少一个月/年) 显示人口暴露率比年均高出50% (十倍).
结论:
- 水资源稀缺影响估计对所选择的指标和计算方法很敏感.
- 单一的方法是不够的;对于可靠的水资源稀缺性评估,必须考虑影响估计的各种因素.
- 方法选择显著改变了全球缺水挑战的感知规模.
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