J
Jing Yang
Researcher at Chinese Academy of Sciences
Publications - 31
Citations - 4083
Jing Yang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Precipitation & Uncertainty analysis. The author has an hindex of 19, co-authored 30 publications receiving 3272 citations. Previous affiliations of Jing Yang include Swiss Federal Institute of Aquatic Science and Technology & University of Guelph.
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Hydraulic properties of karst fractures filled with soils and regolith materials: Implication for their ecohydrological functions
TL;DR: In this article, three typical fractures, a vertical one filled with fine-textured soil (VSF), another filled with soil and regolith materials (VSRF), and a non-vertical one filling with coarse textured soil, were selected from a large newly excavated trench on a karst hillslope of southwest China.
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Spatial variability of shallow soil moisture and its stable isotope values on a karst hillslope
TL;DR: In this article, the spatial variability of soil water isotope values is analyzed in 10m × 10m grids were established within a 90m × 120m plot on a highly heterogeneous karst hillslope.
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Multiobjective sensitivity analysis and optimization of distributed hydrologic model MOBIDIC
TL;DR: In this article, a multi-objective sensitivity and optimization approach for the MOBIDIC (MOdello di Bilancio Idrologico DIstribuito e Continuo) distributed hydrologic model, which combines two sensitivity analysis techniques (the Morris method and the SDP) with multiobjective optimization (MOO) approach e-NSGAII (Non-dominated Sorting Genetic Algorithm-II).
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Comparative study of streamflow components in two inland rivers in the Tianshan Mountains, Northwest China
Congjian Sun,Congjian Sun,Jing Yang,Jing Yang,Yaning Chen,Xingong Li,Xingong Li,Yuhui Yang,Yuhui Yang,Yongqing Zhang +9 more
TL;DR: Based on isotope hydrograph method, this article explored and compared the runoff generation mechanism of two typical inland rivers in the Tianshan Mountains (i.e., Urumqi River on the north slope and Huangshuigou River on south slope), based on a year-long frequently monitored weather, flow and isotope data.
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Impact of GCM structure uncertainty on hydrological processes in an arid area of China
TL;DR: In this paper, the authors investigated the impact of the general circulation model (GCM) structural uncertainty on hydrological processes in the Kaidu River Basin in two representative concentration pathway (RCP) scenarios (i.e., RCP4.5 and RCP8.5), representing future climate change under uncertainty, were first bias-corrected using four precipitation and three temperature methods and then used to force a well-calibrated water assessment tool ( SWAT) in the study area.