Methods for Characterizing Groundwater Resources with Sparse In Situ Data
نویسندگان
چکیده
Accurate characterization of groundwater resources is required for sustainable management. Due to the cost installing monitoring wells and challenges in collecting managing situ data, data are sparse—especially developing countries. In this study, we demonstrate an analysis long-term storage changes using temporally sparse but spatially dense well where each had as few one historical measurement. We developed methods synthetically estimate table elevation (WTE) times series by clustering two different methods; a uniform grid k-means-constrained create pseudo-wells. These pseudo-wells more complete level time history, which then interpolated analyze aquifer. demonstrated these on Beryl-Enterprise aquifer Utah, USA, other researchers quantified depletion rate, large number measurements. randomly used measurement per showed that our yielded rates similar published values. applied method region southern Niger only well, estimated change trend reasonably matched was calculated GRACE satellite data.
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ژورنال
عنوان ژورنال: Hydrology
سال: 2022
ISSN: ['2330-7609', '2330-7617']
DOI: https://doi.org/10.3390/hydrology9080134