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• W3198116368 endingPage "126908" @default.
• W3198116368 startingPage "126908" @default.
• W3198116368 abstract "The travel time or “age” of groundwater affects catchment responses to hydrologic changes, geochemical reactions, and time lags between management actions and responses at down-gradient streams and wells. Use of atmospheric tracers has facilitated the characterization of groundwater ages, but most wells lack such measurements. This study applied machine learning to predict ages in wells across a large region around the Great Lakes Basin using well, chemistry, and landscape characteristics. For a dataset of age tracers in 961 samples, the travel time from the land surface to the sample location was estimated for each sample using parametric functions. The mean travel times were then modeled using a gradient boosting machine (GBM) algorithm with cross validation tuning of model metaparameters. The GBM approach was able to closely match estimated ages for the training data (RMSE = 0.26 natural-log scale years) and provided a reasonable match to testing data (RMSE = 0.84). Of the variables tested, well characteristics (e.g. depth), land use, hydrologic indicators (e.g. topographic wetness index), and water chemistry (e.g. nitrate, fluoride, and pH), substantially affected the predictions of age. GBM prediction was applied to 14,335 groundwater samples with median sample depth of 5.4 m, indicating for the Great Lakes Basin a broad distribution of ages among wells with a median of 32.9 years. Lag times of decades are likely for these wells to respond to changing solute fluxes near land surface. While depth variables most strongly affected predicted mean ages, chemical constituents exhibited smooth trends with age, consistent with prevailing conceptual models of evolving sources and geochemistry flowpaths. The results provide proof of concept for use of readily available variables of well, landscape, and chemical characteristics to improve groundwater age estimates across large regions." @default.
• W3198116368 created "2021-09-13" @default.
• W3198116368 creator A5018443521 @default.
• W3198116368 creator A5032761941 @default.
• W3198116368 creator A5039549614 @default.
• W3198116368 creator A5088361476 @default.
• W3198116368 creator A5090057576 @default.
• W3198116368 date "2021-12-01" @default.
• W3198116368 modified "2023-10-16" @default.
• W3198116368 title "Machine learning predictions of mean ages of shallow well samples in the Great Lakes Basin, USA" @default.
• W3198116368 cites W1542261836 @default.
• W3198116368 cites W1549501738 @default.
• W3198116368 cites W1564386247 @default.
• W3198116368 cites W1584990606 @default.
• W3198116368 cites W1585612743 @default.
• W3198116368 cites W1599858996 @default.
• W3198116368 cites W1631229165 @default.
• W3198116368 cites W1839864568 @default.
• W3198116368 cites W1845530686 @default.
• W3198116368 cites W1884131190 @default.
• W3198116368 cites W1924685352 @default.
• W3198116368 cites W1938981086 @default.
• W3198116368 cites W1967854910 @default.
• W3198116368 cites W1975032128 @default.
• W3198116368 cites W198457075 @default.
• W3198116368 cites W1987073143 @default.
• W3198116368 cites W1988095119 @default.
• W3198116368 cites W1990548452 @default.
• W3198116368 cites W1992036823 @default.
• W3198116368 cites W2008630381 @default.
• W3198116368 cites W2017911913 @default.
• W3198116368 cites W2026433294 @default.
• W3198116368 cites W2026487461 @default.
• W3198116368 cites W2027794314 @default.
• W3198116368 cites W2027862356 @default.
• W3198116368 cites W2028206743 @default.
• W3198116368 cites W2038027254 @default.
• W3198116368 cites W2038357805 @default.
• W3198116368 cites W2039203839 @default.
• W3198116368 cites W2040442389 @default.
• W3198116368 cites W2048547397 @default.
• W3198116368 cites W2054896606 @default.
• W3198116368 cites W2057336332 @default.
• W3198116368 cites W2061427324 @default.
• W3198116368 cites W2070493638 @default.
• W3198116368 cites W2074145107 @default.
• W3198116368 cites W2079306626 @default.
• W3198116368 cites W2081494790 @default.
• W3198116368 cites W2084211344 @default.
• W3198116368 cites W2084956957 @default.
• W3198116368 cites W2090187219 @default.
• W3198116368 cites W2093269514 @default.
• W3198116368 cites W2109287457 @default.
• W3198116368 cites W2112953893 @default.
• W3198116368 cites W2112976837 @default.
• W3198116368 cites W2114369319 @default.
• W3198116368 cites W2115534093 @default.
• W3198116368 cites W2119636351 @default.
• W3198116368 cites W2123702111 @default.
• W3198116368 cites W2124631354 @default.
• W3198116368 cites W2126160792 @default.
• W3198116368 cites W2127826796 @default.
• W3198116368 cites W2135695572 @default.
• W3198116368 cites W2139147365 @default.
• W3198116368 cites W2155559629 @default.
• W3198116368 cites W2158722901 @default.
• W3198116368 cites W2165654941 @default.
• W3198116368 cites W2172398424 @default.
• W3198116368 cites W2177299793 @default.
• W3198116368 cites W2262803037 @default.
• W3198116368 cites W2384975075 @default.
• W3198116368 cites W2466788594 @default.
• W3198116368 cites W2509736181 @default.
• W3198116368 cites W2596493828 @default.
• W3198116368 cites W2621614687 @default.
• W3198116368 cites W2743864113 @default.
• W3198116368 cites W2784082099 @default.
• W3198116368 cites W2784979059 @default.
• W3198116368 cites W2786693279 @default.
• W3198116368 cites W2793537566 @default.
• W3198116368 cites W2793612784 @default.
• W3198116368 cites W2803066501 @default.
• W3198116368 cites W2807007446 @default.
• W3198116368 cites W2808247934 @default.
• W3198116368 cites W2913147503 @default.
• W3198116368 cites W2918977139 @default.
• W3198116368 cites W2964244457 @default.
• W3198116368 cites W3023207839 @default.
• W3198116368 cites W3024088379 @default.
• W3198116368 cites W3084295851 @default.
• W3198116368 cites W3086451827 @default.
• W3198116368 cites W3107642331 @default.
• W3198116368 cites W3112700192 @default.
• W3198116368 cites W3119604227 @default.
• W3198116368 cites W3133404425 @default.
• W3198116368 cites W36489750 @default.
• W3198116368 cites W4242262249 @default.
• W3198116368 cites W4249977334 @default.

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