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SampleGroundwater recharge in semi-arid Rajasthan · PhD thesis
Passages to review: 4
Contents
3 of 142 references could not be found in Crossref or OpenAlex.
2. Literature Review
2.1 Groundwater stress in arid India

Western Rajasthan receives between 100 and 400 mm of rain a year, and the Central Ground Water Board classifies most blocks in Jodhpur and Barmer as over-exploited. Farmers I interviewed in Phalodi in 2023 described bore wells that had gone from 60 m to more than 150 m deep within a decade.

Groundwater plays a pivotal role in sustaining livelihoods across arid regions. In the realm of water resource management, a growing body of literature has highlighted the multifaceted challenges posed by over-extraction, climate variability, and land-use change. It is worth noting that these challenges are deeply interconnected and require holistic approaches.

2.2 Remote sensing approaches to recharge estimation

Recent studies have shown significant improvements in recharge estimation using satellite data. GRACE-based methods have been widely adopted, and machine learning techniques have demonstrated promising results across diverse hydrogeological settings. Rodell et al. (2009) reported a groundwater loss of about 4 cm of water-equivalent per year across north-west India, a figure later revised by Chen et al. (2014).

R = P − ET − Qs − ΔS
(2.1)

Kumar and Singh (2021) combined Landsat land cover with a water-balance model for the Luni basin, but their validation used only 14 wells. Furthermore, integrating multiple data sources offers a comprehensive framework for understanding recharge dynamics, thereby enabling more robust and reliable assessments that can inform evidence-based policy decisions (Sharma & Patel, 2022).

2.3 Research gap

Despite these advancements, several gaps remain in the existing literature. Few studies have examined recharge at the block level, and there is a need for more localised, data-driven approaches. This thesis addresses that gap for the 18 blocks of Jodhpur district, using 212 wells from the CGWB network between 2005 and 2022.

Strong AI-style signalsSome signalsMarked as revisedReference not foundConsistency

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Compared

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ToolShows how to fix flagged textChecks referencesLanguage checksYour file
ScholarsEyeYes, passage by passageYes, every oneYes, freeNever stored; report deleted in 30 days
Turnitin / iThenticateNo, and usually only via your institutionNoNoOften kept in a repository
Free AI detectorsA score and highlightsNoRarelyVaries
“Humanizer” rewritersRewrite for you, which journals treat as misconductNoNoVaries

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