Estimation of the Soil Moisture Content in a Desert Steppe on the Mongolian Plateau Based on Ground-Penetrating Radar DOI Open Access
Kaixuan Li,

Zilong Liao,

Gang Ji

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8558 - 8558

Published: Oct. 2, 2024

Desert grasslands are a crucial component of terrestrial ecosystems that play vital roles in regional and global hydrological cycling, climate change, ecosystem balance through variations their soil moisture content (SMC). Despite this, current research on the SMC desert remains insufficient, with many areas remaining underexplored. In this study, we focused typical grassland located northern foothills Yinshan Mountains. Ground-penetrating radar (GPR) exploration sampling were used to test existing mixed-media models, new model was calibrated using cross-validation methods. Among three general Topp Roth models yielded more accurate estimates for study area, root mean square errors 0.0091 g/cm3 0.0054 g/cm3, respectively, absolute percentage 25.86% 19.01%, demonstrating high precision. A comparison original revealed estimation accuracy significantly improved after parameter calibration. After calibration, Ferre achieved an comparable model. Parameter-calibrated can be estimate GPR data, offering higher precision than possessing greater suitability area. The area is primarily composed sand particles therefore compatible parameters model, whereas requires further calibration achieve effective application.

Language: Английский

Improving soil surface evaporation estimates with transformer-based model DOI
Mijun Zou, Lei Zhong, Jia Wei

et al.

Atmospheric Research, Journal Year: 2025, Volume and Issue: unknown, P. 107972 - 107972

Published: Feb. 1, 2025

Language: Английский

Citations

0
Geochemical pattern, quality and driving forces of multi-layer groundwater in a high-capacity mining area basin: A comprehensive analysis based on the interweaving of multiple factors DOI

He Cui,

Limin Duan, Hao Pan

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133376 - 133376

Published: April 1, 2025

Language: Английский

Citations

0
Influence of Sub‐Cloud Evaporation on Precipitation Isotopes: Insights From Hourly‐Scale Meteorological Assessment in a Large Lake in the East Asian Monsoon Region DOI
Shiyong Tao, Jing Xu, Junqiang Xia

et al.

Hydrological Processes, Journal Year: 2025, Volume and Issue: 39(5)

Published: May 1, 2025

ABSTRACT Sub‐cloud evaporation is a critical aspect of the hydrological cycle, reducing surface precipitation totals and altering stable isotopic composition as raindrops fall from cloud base towards surface. However, modelling sub‐cloud in humid climates its implications for processes remain poorly understood, posing challenges regional water resource management ecological conservation. In this study, comprehensive assessment was conducted to understand influence on isotopes Poyang Lake, largest freshwater lake China. Using 4‐year hourly meteorological observations 11 national stations, we found that there significant during process regions. The remaining fraction evaporated varied between 81% 95%, with lowest values occurring September highest February. monthly average ∆δ 2 H, 18 O ∆d‐excess ranged 2.9‰ 7.0‰, 0.7‰ 1.8‰, −7.7‰ −2.8‰, respectively, effect rainy season more intense than dry season. By modifying effect, monitored at estimated were confirmed exhibit consistent temporal patterns both daily scales. Sensitivity analysis revealed changes sensitive fluctuations relative humidity intensity under varying scenarios. underrepresentation low‐intensity events lead statistical underestimation changes, when (≤ 1.0 mm/h) excluded, shifted 1.25‰ −5.25‰ 0.63‰ −2.72‰, respectively. These findings contribute better understanding cycle Lake other regions similar climate characteristics, especially interpretation paleohydrological records ecohydrological mechanisms using isotopes.

Language: Английский

Citations

0
Estimation of the Soil Moisture Content in a Desert Steppe on the Mongolian Plateau Based on Ground-Penetrating Radar DOI Open Access
Kaixuan Li,

Zilong Liao,

Gang Ji

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8558 - 8558

Published: Oct. 2, 2024

Desert grasslands are a crucial component of terrestrial ecosystems that play vital roles in regional and global hydrological cycling, climate change, ecosystem balance through variations their soil moisture content (SMC). Despite this, current research on the SMC desert remains insufficient, with many areas remaining underexplored. In this study, we focused typical grassland located northern foothills Yinshan Mountains. Ground-penetrating radar (GPR) exploration sampling were used to test existing mixed-media models, new model was calibrated using cross-validation methods. Among three general Topp Roth models yielded more accurate estimates for study area, root mean square errors 0.0091 g/cm3 0.0054 g/cm3, respectively, absolute percentage 25.86% 19.01%, demonstrating high precision. A comparison original revealed estimation accuracy significantly improved after parameter calibration. After calibration, Ferre achieved an comparable model. Parameter-calibrated can be estimate GPR data, offering higher precision than possessing greater suitability area. The area is primarily composed sand particles therefore compatible parameters model, whereas requires further calibration achieve effective application.

Language: Английский

Citations

0