Department of Civil Engineering, Indian Institute of Engineering Science and Technology, West Bengal-711103, Shibpur, Howrah, India.
Environ Monit Assess. 2024 Jan 16;196(2):151. doi: 10.1007/s10661-024-12309-7.
Droughts frequently occurring in India have significant societal, economic, and environmental effects. The lack of direct measurements of groundwater in location and time hinders quantitative methods to analyse the intricate nature of groundwater drought. This work used the datasets derived from the Gravity and Climate Experiment (GRACE and GRACE-FO) and Global Land Data Assimilation System (GLDAS) to extensively analyse Groundwater Storage changes in the Lower Gangetic Basin (LGB) using unique hydrological parameters between the years 2003 and 2022. The analysis highlights that the GRACE-derived terrestrial water storage anomaly in the LGB decreased significantly (-12.12 mm/yr), and the amount of Groundwater Storage Anomaly (GWSA) decreased similarly (-10.80 mm/yr), while in the GRACE-FO period, a positive trend has been noticed in TWSA (33.96 mm/yr) and GWSA (64.8 mm/yr) respectively. A drought indicator called the GRACE-derived groundwater drought index (GGDI) has been computed for the entire LGB region. A traditional drought study viz. Standardised Precipitation Index (SPI) was performed over LGB to justify the results of the GGDI. The results from GGDI study effectively matched the periods of significant drought occurrences with the 12-month SPI time series. From the GGDI, this study examined groundwater drought's spatial distribution, temporal evolution, and trend (Modified Mann Kendall trend) aspects. According to research findings, the LGB experienced three major drought periods between 2009-2010, 2019 (moderate), and 2015-2016 (severe). The study offers reliable quantitative data on the evolution of GRACE-derived groundwater drought, which may add a new perspective to additional drought research in the densely populated study area, which depends majorly on agriculture, livestock and less skilled water-intensive industries such as leather and textile industries in a sub-tropical climate. This paradigm incorporates changes in groundwater resources caused by human activities and climate change, paving the way for measuring progress towards sustainable use and water security.
印度经常发生的干旱对社会、经济和环境都有重大影响。由于缺乏位置和时间上的地下水直接测量,因此定量方法难以分析地下水干旱的复杂性质。本研究使用源自重力与气候实验(GRACE 和 GRACE-FO)和全球陆地数据同化系统(GLDAS)的数据,利用 2003 年至 2022 年之间独特的水文参数,广泛分析了恒河下游流域(LGB)的地下水储量变化。分析结果表明,LGB 地区的 GRACE 衍生陆地水储量异常明显减少(-12.12mm/yr),地下水储量异常(GWSA)也呈相似减少趋势(-10.80mm/yr),而在 GRACE-FO 期间,TWSA(33.96mm/yr)和 GWSA(64.8mm/yr)分别呈正增长趋势。计算了整个 LGB 地区的 GRACE 衍生地下水干旱指数(GGDI)作为干旱指标。对 LGB 地区进行了传统的干旱研究,即标准化降水指数(SPI),以验证 GGDI 的结果。GGDI 研究的结果与 SPI 12 个月时间序列中显著干旱发生的时期有效匹配。本研究从 GGDI 角度研究了地下水干旱的空间分布、时间演变和趋势(修正曼肯德尔趋势)方面。根据研究结果,LGB 在 2009-2010 年、2019 年(中度)和 2015-2016 年(重度)期间经历了三次主要干旱期。该研究提供了有关 GRACE 衍生地下水干旱演变的可靠定量数据,这可能为依赖农业、畜牧业和技能水平较低的水密集型产业(如皮革和纺织业)的人口稠密研究地区的其他干旱研究提供新的视角。这种模式考虑了人类活动和气候变化引起的地下水资源变化,为衡量可持续利用和水安全方面的进展铺平了道路。