Investigating the capabilities of multi-scale and multi-sensor data to monitor rapidly depleting groundwater resources in Delhi, India.

研究多尺度和多传感器数据监测印度德里迅速枯竭的地下水资源的能力。

• 批准号: 2435776
• 金额: --
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2435776
• 关键词: Investigating; capabilities; multi; scale; sensor

The overall aim of my project is to analyse the relative capabilities of multi-sensor and multi-scale geospatial data, including in-situ observations, GRACE gravity anomalies, InSAR ground displacement data and hydrological models, to facilitate accurate monitoring and understanding of changing groundwater resources across the megacity of Delhi, India. In particular, the value of the information extracted from the various data sources, from a perspective of water management, will be investigated. This process will involve quantifying both groundwater storage change and land subsidence across the region using geospatial techniques, investigating the relationship between ground deformation, groundwater storage change and the variability of elasticity properties in the underlying aquifer system, and exploring methods to integrate data to better inform groundwater management. .

我的项目的总体目标是分析多传感器和多尺度地理空间数据的相对能力，包括原位观测、GRACE重力异常、干涉合成孔径雷达地面位移数据和水文模型，以促进对印度德里大城市地下水资源变化的准确监测和理解。特别是，将从水管理的角度调查从各种数据来源提取的信息的价值。这一过程将涉及使用地理空间技术量化整个区域的地下水储存变化和地面沉降，调查地面变形、地下水储存变化和下伏含水层系统弹性特性变化之间的关系，并探索整合数据的方法，以更好地为地下水管理提供信息。.