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Updated: Jan 16, 2026

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In Situ Soil Moisture Sensors in Undisturbed Soils
Published on: November 18, 2022
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质量控制,可靠的地下水位数据与相应的印度的特定产量.
Satish Kumar Kuruva1, Maya Raghunath Suryawanshi2, Amin Shakya3
1Interdisciplinary Centre for Water Research, Indian Institute of Science, Bengaluru, India. ksatishkumar@iisc.ac.in.
Scientific data
|October 1, 2025
概括
这项研究处理了印度各地的地下水井数据,确定了2,759个可靠的井,以提高对地下水动态和含水层特征的理解. 这些发现为可持续的地下水管理提供了关键的见解.
科学领域:
- 地球科学 地球科学 地球科学
- 水文学的水文学
- 水文地质学 水文地质学
背景情况:
- 地下水对于家庭,农业和工业用途至关重要,面临着人口增长和气候变化的日益增长的需求.
- 以前的研究表明,印度西北部的地下水耗尽,与印度南部的趋势形成鲜明对比.
- 可靠,质量控制的井数据对于准确的地下水动态研究至关重要,但往往缺乏.
研究的目的:
- 处理和验证来自印度井的季节性地下水位的大数据集.
- 为地下水研究建立2,759个井的可靠数据集.
- 为了估计特定产量和分类印度各地的含水层类型.
主要方法:
- 数据清理涉及删除缺失或负值的井,并应用三西格玛方法来消除异常值.
- 保持至少有两年价值和有限的连续数据重复的井.
- 用一种基于矢量化的方法来分类含水层,使用水文地图估计特定产量.
主要成果:
- 收集了印度各地2,759个可靠的地下水井的精心策划的数据集.
- 估计了特定产量,并对含水层类型进行了分类.
- 该研究为进一步研究提供了对数据和脚本的开放访问.
结论:
- 处理的井数据为研究印度地下水变化提供了可靠的基础.
- 这个资源可以比较现场井数据和基于卫星/模型的估计 (例如,GRACE).
- 这些发现支持改善地下水资源管理和政策制定.
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