相关实验视频
Updated: Jul 21, 2025

08:20
In Situ Soil Moisture Sensors in Undisturbed Soils
Published on: November 18, 2022
6.3K
了解地下水和地表水之间的交换过程,使用迷你驱动点压力计和数学模型来确定合适的管理下水层充电点
Sudipa Halder1,2, Malabika Biswas Roy3, Pankaj Kumar Roy4
1School of Water Resources Engineering, Jadavpur University, Kolkata, West Bengal, India.
概括
这项研究估计了印度Shilabati盆地的地下特征,使用了压力计和数值建模. 它确定了管理水表补充 (MAR) 的最佳地点,以应对干旱,实现12.096 MLD的安全产量.
科学领域:
- 水文地质学 水文地质学
- 环境工程 环境工程
- 水资源管理 水资源管理
背景情况:
- 研究了印度西孟加拉邦Shilabati盆地 (3888平方公里) 的地表特征.
- 了解流床液压导电性 (Kh) 是至关重要的,特别是在获得和失去流的过程中,但记录不完善.
- 流床中相反的流量条件可以显著影响毛孔大小,细颗粒含量和Kh.
研究的目的:
- 为了估计在希拉巴蒂盆地内的地下特征和流水层相互作用.
- 确定适合管理水表充填 (MAR) 实施的地点,以减轻干旱事件.
- 确定水基础设施的最佳设计参数,例如辐射收集井.
主要方法:
- 一个稳定状态的数值模型,使用具有成本效益的平移计和MIKE FEFLOW包.
- 模糊的多标准决策分析 (MCDA) 基于9个标准 (河流排水,湿度,多孔性,排水,降雨量,土地使用,地质,含水层材料,Kh) 进行 MAR 选址.
- 试验,以优化安全收益率的基础设施设计在异型,均质,不受限制的,半无限的含水层.
主要成果:
- 盆地的地下水位在160.33至0.32米以上.
- 在Dakshin Pairachali现场记录的最高Kh值为6.765m/day,表明当地的含水层排放到溪流中.
- 辐射采集井和透画廊的优化安全产量为12.096 MLD.
结论:
- 这项研究提供了宝贵的洞察力,了解了Shilabati流域的水文地质学和流水层动态.
- 已识别的MAR网站为西孟加拉邦的干旱管理提供了可持续的解决方案.
- 该方法为其他地区的类似水地质评估和水资源管理策略提供了框架.
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