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A stable isotope–deep learning–structural equation modeling framework for revealing direct and indirect driving pathways of spatial variations in mountain evaporation

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/hyp.11494openalex-snapshot
Combination of CFCs and stable isotopes to characterize the mechanism of groundwater–surface water interactions in a headwater basin of the North China Plain
inferredcites →https://doi.org/10.1007/s00704-019-03004-6openalex-snapshot
Attribution analyses of evapotranspiration and gross primary productivity changes in Ziya-Daqing basins, China during 2001–2015
inferredcites →https://doi.org/10.1007/s10533-009-9386-9openalex-snapshot
Mountain soils under a changing climate and land-use
inferredcites →https://doi.org/10.1007/s10653-021-00959-2openalex-snapshot
Hydrochemical and stable isotopic spatiotemporal variation characteristics and their environmental significance in the Kashi River Mountain Area of Ili, Xinjiang, China
inferredcites →https://doi.org/10.1007/s11434-013-5768-4openalex-snapshot
The hydrological linkage of mountains and plains in the arid region of northwest China
inferredcites →https://doi.org/10.1016/0022-1694(88)90184-9openalex-snapshot
Tracing of water movement in the unsaturated zone using stable isotopes of hydrogen and oxygen
inferredcites →https://doi.org/10.1016/0022-1694(92)90078-aopenalex-snapshot
The dynamic relationship between ground water and the Columbia River: using deuterium and oxygen-18 as tracers
inferredcites →https://doi.org/10.1016/0160-4120(80)90141-5openalex-snapshot
Cost-effective selection of sampling frequencies for regulatory water quality monitoring
inferredcites →https://doi.org/10.1016/b0-12-369398-5/00483-7openalex-snapshot
Path Analysis
inferredcites →https://doi.org/10.1016/j.agrformet.2012.11.016openalex-snapshot
MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley–Taylor algorithm
inferredcites →https://doi.org/10.1016/j.agwat.2018.09.013openalex-snapshot
Response of surface water quantity and quality to agricultural water use intensity in upstream Hutuo River Basin, China
inferredcites →https://doi.org/10.1016/j.agwat.2023.108543openalex-snapshot
Comparison of water-saving potential of fallow and crop change with high water-use winter-wheat – summer-maize rotation
inferredcites →https://doi.org/10.1016/j.apgeochem.2012.08.015openalex-snapshot
The role of deuterium excess in determining the water salinisation mechanism: A case study of the arid Tarim River Basin, NW China
inferredcites →https://doi.org/10.1016/j.ecolind.2016.02.002openalex-snapshot
Aggregating land use quantity and intensity to link water quality in upper catchment of Miyun Reservoir
inferredcites →https://doi.org/10.1016/j.isprsjprs.2023.03.009openalex-snapshot
Accurate estimates of land surface energy fluxes and irrigation requirements from UAV-based thermal and multispectral sensors
inferredcites →https://doi.org/10.1016/j.rse.2008.01.023openalex-snapshot
Linking the diversity and abundance of stream biota to landscapes in the mid-Atlantic USA
inferredcites →https://doi.org/10.1016/j.rse.2018.12.031openalex-snapshot
Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002–2017
inferredcites →https://doi.org/10.1016/j.scib.2019.03.002openalex-snapshot
Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017
inferredcites →https://doi.org/10.1016/j.scib.2023.02.010openalex-snapshot
China’s Black Soil Granary is increasingly facing extreme hydrological drought threats
inferredcites →https://doi.org/10.1016/j.scitotenv.2014.02.130openalex-snapshot
The impacts of a linear wastewater reservoir on groundwater recharge and geochemical evolution in a semi-arid area of the Lake Baiyangdian watershed, North China Plain
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.151310openalex-snapshot
Spatiotemporal dynamics of wetlands and their driving factors based on PLS-SEM: A case study in Wuhan
inferredcites →https://doi.org/10.1016/s0378-3774(02)00150-6openalex-snapshot
Crop coefficient and ratio of transpiration to evapotranspiration of winter wheat and maize in a semi-humid region
inferredcites →https://doi.org/10.1029/2024wr039764openalex-snapshot
Global Daily Discharge Estimation Based on Grid Long Short‐Term Memory (LSTM) Model and River Routing
inferredcites →https://doi.org/10.1038/s41586-024-07778-2openalex-snapshot
The development of terrestrial ecosystems emerging after glacier retreat
inferredcites →https://doi.org/10.1038/s41893-018-0159-0openalex-snapshot
Water shortages worsened by reservoir effects
inferredcites →https://doi.org/10.1038/s44221-024-00239-0openalex-snapshot
Declining groundwater storage expected to amplify mountain streamflow reductions in a warmer world
inferredcites →https://doi.org/10.1080/02626667.2013.853879openalex-snapshot
Challenges of hydrological analysis for water resource development in semi-arid mountainous regions: case study in Iran
inferredcites →https://doi.org/10.1080/13658816.2019.1707834openalex-snapshot
Geographically neural network weighted regression for the accurate estimation of spatial non-stationarity
inferredcites →https://doi.org/10.1080/13658816.2020.1775836openalex-snapshot
Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships
inferredcites →https://doi.org/10.1080/13658816.2024.2343771openalex-snapshot
A neural network model to optimize the measure of spatial proximity in geographically weighted regression approach: a case study on house price in Wuhan
inferredcites →https://doi.org/10.1111/j.2153-3490.1964.tb00181.xopenalex-snapshot
Stable isotopes in precipitation
inferredcites →https://doi.org/10.1126/science.133.3465.1702openalex-snapshot
Isotopic Variations in Meteoric Waters
inferredcites →https://doi.org/10.1515/geo-2020-0006openalex-snapshot
Predicting small water courses’ physico-chemical status from watershed characteristics with two multivariate statistical methods
inferredcites →https://doi.org/10.3724/sp.j.1011.2011.01067openalex-snapshot
Comparative advantages of Large Aperture Scintillometer and Eddy Covariance instrument for measuring evapotranspiration in irrigated farmlands
inferredcites →https://doi.org/10.5194/essd-17-2135-2025openalex-snapshot
Global Stable Isotope Dataset for Surface Water
inferredcites →https://doi.org/10.5194/hess-20-697-2016openalex-snapshot
Estimating evaporation with thermal UAV data and two-source energy balance models
inferredcites →https://doi.org/10.5194/hess-23-2491-2019openalex-snapshot
Reconstructed natural runoff helps to quantify the relationship between upstream water use and downstream water scarcity in China's river basins
inferredcites →https://doi.org/10.5194/hess-8-1017-2004openalex-snapshot
The hydrological significance of mountains: from regional to global scale
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