全球土地沉降地图显示,含水层储存能力的广泛丧失
Md Fahim Hasan1, Ryan Smith2, Sanaz Vajedian3
1Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, 80523, USA. Fahim.Hasan@colostate.edu.
Nature communications
|October 4, 2023
概括
地下水溢出导致土地沉降和地下水层枯竭. 本研究开发了一种机器学习模型,用于绘制全球土地沉降的地图,并估计地下水损失,确定需要可持续管理的关键区域.
科学领域:
- 地球科学 地球科学 地球科学
- 水文学的水文学
- 地质物理学 地质物理学
背景情况:
- 地下水的溢流导致土地沉降和永久的储水损失.
- 目前的方法缺乏必要的全球分辨率,以准确地评估地下水储存损失,以适用于本地应用.
- 了解地下水压力,地下水层枯竭和土地沉降之间的相互作用至关重要.
研究的目的:
- 开发一个高分辨率的全球模型来预测土地沉降.
- 为了估计全球范围内的水层储存损失,由于整合.
- 确定土地沉降的主要驱动因素,并突出脆弱地区.
主要方法:
- 利用遥感和基于模型的数据集.
- 采用机器学习方法来分析相互关系.
- 开发了一个高空间分辨率 (~2公里) 全球土地沉降预测模型.
主要成果:
- 估计由于整合而导致的全球含水层储量损失约为每年17立方公里.
- 量化了导致土地沉降的关键驱动因素.
- 确定了73%的绘制沉降发生在耕地和城市地区.
结论:
- 开发的模型为评估沉降范围和识别地下水压力地区提供了有价值的工具.
- 结果强调,迫切需要可持续的地下水管理,特别是在农业和城市地区.
- 这项研究为全球地下水枯竭影响提供了新的视角.
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