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

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、InSAR地面位移数据和水文模型，以促进对印度德里特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源中提取的资料的价值。这一过程将涉及使用地理空间技术量化整个地区的地下水储存变化和地面沉降，调查地面变形、地下水储存变化和地下含水层系统弹性特性变异性之间的关系，并探索整合数据的方法，以便更好地为地下水管理提供信息。

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. .