Thu Dec 12, F.Flechtner
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Panday, Durga Prasad, Kumar, Manish, Agarwal, Vivek, Torres-Martínez, Juan Antonio, and Mahlknecht, Jürgen, 2024. Corroboration of arsenic variation over the Indian Peninsula through standardized precipitation evapotranspiration indices and groundwater level fluctuations: Water quantity indicators for water quality prediction. Science of the Total Environment, 954:176339, doi:10.1016/j.scitotenv.2024.176339.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024ScTEn.95476339P,
author = {{Panday}, Durga Prasad and {Kumar}, Manish and {Agarwal}, Vivek and {Torres-Mart{\'i}nez}, Juan Antonio and {Mahlknecht}, J{\"u}rgen},
title = "{Corroboration of arsenic variation over the Indian Peninsula through standardized precipitation evapotranspiration indices and groundwater level fluctuations: Water quantity indicators for water quality prediction}",
journal = {Science of the Total Environment},
keywords = {Hydrological extremes, Quantity-quality, Clustering, Correlation, Saturation index},
year = 2024,
month = dec,
volume = {954},
eid = {176339},
pages = {176339},
abstract = "{The contamination of groundwater with arsenic (As) as a result of geo-
morphological and hydrogeochemical factors has been the subject
of comprehensive research. However, there has been limited
exploration of the spread of As under the influence of dynamic
elements such as floods, droughts, and rapidly declining
groundwater levels. Moreover, the utilization of rapidly
changing natural forces, including hydroclimatic extremes and
declining groundwater levels, in conjunction with standard
climate indices such as the Standard Precipitation Index (SPI)
and the Standard Precipitation Evapotranspiration Index (SPEI),
for the purpose of elucidating As distribution has been minimal.
Accordingly, this study specifically addresses these water
quantity indicators, along with Gravity Recovery and Climate
Experiment (GRACE) derived groundwater levels, to expound on As
contamination at a Pan-Indian scale. Significant correlations
were delineated between SPI, SPEI, GRACE-derived groundwater
levels, and arsenic concentrations. Clustering results unveiled
the grouping of states according to agro-climatic zones, thereby
underscoring the similarities in water quantity dynamics across
the Indian peninsula. The study additionally computed the
Saturation Index (SI) for aragonite and deliberated on the
potential future saturation of this pivotal mineral. The primary
contribution of this study lies in the successful demonstration
of a methodology for prognosticating As distribution based on
available precipitation and climatic indices, groundwater
withdrawal, and the geological prospects of agroclimatic zones.
The insights derived from the analysis of SPI, GRACE data, and
As concentrations furnish valuable input for water resource
management vis-{\`a}-vis strategies for mitigating As
contamination.}",
doi = {10.1016/j.scitotenv.2024.176339},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024ScTEn.95476339P},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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