Paper
5 May 2016 Analysis of groundwater anomalies using GRACE over various districts of Jharkhand
Arpita Verma, Anant Kumar, C. Jeganathan, Sanjay Kumar
Author Affiliations +
Proceedings Volume 9877, Land Surface and Cryosphere Remote Sensing III; 98770U (2016) https://doi.org/10.1117/12.2222204
Event: SPIE Asia-Pacific Remote Sensing, 2016, New Delhi, India
Abstract
Groundwater is an important requirement for the massive population of India. Generally the groundwater level is monitored by using monitoring wells. In this study, Gravity Recovery and Climate Experiment (GRACE) Terrestrial Water Storage (TWS), Land surface state variable GLDAS and Soil Moisture (SM) data were tested for estimating ground water information and based on these groundwater assessments were carried out over the years 2003 to 2012 for Jharkhand State. Additionally, Tropical Rainfall Measuring Mission (TRMM) accumulated rainfall data was also used for the year’s 2008 to 2012.From the study over 120 months span of various districts the maximum depletion in storage of groundwater averaged over the six districts is ±5cm/yr in the year 2010 and maximum storage year (in term of Equivalent water thickness) groundwater average over the six districts is ±4.4cm in the year 2003. The study also utilized ground based Seasonal changes in the groundwater resource over 287 monitoring wells and estimated groundwater data using map analysis over Jharkhand. This study analyzed seasonal water level variations based on groundwater anomaly. Remote sensing generated result compared with well data shows R2 = 0.6211 and RMSE = 39.46 cm at average seasonal cycle. Also information of different time periods of rainfall (i.e., pre-monsoon and post-monsoon) was analyzed. The trend analysis of rainfall and estimated groundwater gives the basic knowledge that groundwater storage loss and gain showed similarities with increase and decrease in rainfall.
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Arpita Verma, Anant Kumar, C. Jeganathan, and Sanjay Kumar "Analysis of groundwater anomalies using GRACE over various districts of Jharkhand", Proc. SPIE 9877, Land Surface and Cryosphere Remote Sensing III, 98770U (5 May 2016); https://doi.org/10.1117/12.2222204
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KEYWORDS
Data storage

Soil science

Data modeling

Thermal weapon sites

Statistical analysis

Climatology

Remote sensing

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