Assessment of Runoff Generation Capacity and Total Runoff Contribution for Different Landscapes in Alpine and Permafrost Watershed DOI
Jia Qin,

Bingfeng Yang,

Yongyong Zhang

et al.

Published: Jan. 1, 2024

Language: Английский

Novel WRF-Hydro runoff simulation method considering optimal river network and underlying surface data DOI
Qingzhi Zhao,

Yatong Li,

Hongwu Guo

et al.

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(4)

Published: Feb. 1, 2025

Language: Английский

Citations

0
Refining snow-streamflow dynamics in a Tibetan Plateau basin by incorporating snow depth and topography DOI
Lei Tian,

Wenjie Wang,

Xiaogang Ma

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133057 - 133057

Published: March 1, 2025

Language: Английский

Citations

0
Stronger influences of grassland growth than grassland area on hydrological processes in the source region of the Yellow River DOI

Hao Zhan,

Dongxue Yu,

Le Wang

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 642, P. 131886 - 131886

Published: Aug. 23, 2024

Language: Английский

Citations

2
Assessment of runoff generation capacity and total runoff contribution for different landscapes in alpine and permafrost watershed DOI Creative Commons
Jia Qin,

Bingfeng Yang,

Yongjian Ding

et al.

CATENA, Journal Year: 2024, Volume and Issue: 249, P. 108643 - 108643

Published: Dec. 7, 2024

Language: Английский

Citations

2
Elevational Patterns of Forest Evapotranspiration and Its Sensitivity to Climatic Variation in Dryland Mountains DOI Open Access
Hongyu Li, Xiaohuang Liu, Wenbo Zhang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(9), P. 1252 - 1252

Published: April 27, 2024

Elevational climatic heterogeneity, complex terrains, and varying subsurface properties affect the sensitivity of evapotranspiration (ET) in dryland mountain forests to hydrometeorological changes. However, elevational distribution ET its major influencing factors remain poorly understood. This study focused on mid-altitude zone (1000–3500 m) Chinese Western Tianshan Mountains assessed multiple climate variables, including precipitation (P) potential (PET), from 2000 2020. To evaluate multi-year mean trends sensitivity, multi-source remote sensing data regional survey were analyzed using Spearman’s correlation coefficient, sliding window method, Kendall’s test. Furthermore, relative importance environmental variables (topography, geology, soil, vegetation) was investigated. P PET showed no significant trends, while exhibited a increasing trend (5.81 mm/yr, p < 0.01), particularly at elevations above m. Most (93.5%) positive P, 70.0% PET, mainly 1500–2500 Additionally, decreased with an elevation, 64.5% showing trend. Meanwhile, increased 88.1% Notably, 53.2% both primarily 2000–3000 m normalized difference vegetation index (NDVI) 0.56. Geological factors, hydrological weathered bedrock, contributed most (~47%) sensitivity. geological vegetative NDVI root water availability, main contributors (35% each) highlights elevation-dependent hydrothermal changes, higher-elevation (>2000 being more sensitive global warming.

Language: Английский

Citations

1
Declining water resources in the Anduña River Basin of Western Pyrenees: Land abandonment or climate variability? DOI Creative Commons

Nerea Bilbao-Barrenetxea,

Patricia Jimeno‐Sáez, Francisco José Segura-Méndez

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 53, P. 101771 - 101771

Published: April 8, 2024

Study Region: Mountains play a crucial role in supplying water for consumption, irrigation, and hydroelectric power. However, they are highly vulnerable to climate change. The Pyrenees exemplify mountainous region undergoing significant changes, notably land-use practisces, with shift towards forest cover. Focus: We use the SWAT model, analyse depth two factors that most influence hydrological cycle: change variability. model is calibrated validated using daily streamflow periods 1992–2004 2005– 2018. following results were obtained both periods: an NSE of 0.51, R2 0.72, PBIAS –12.67 % calibration period 0.55, 0.75, –16.49 validation period, indicating accurately represented streamflow. Subsequently, we designed three scenarios based on combinations historical data quantify contribution each factor. New Hydrological Insights Comparing confirms downward trend provides quantitative information factor this decline. Notably, changes account 41.4 almost as much Furthermore, observed increase frequency magnitude floods flood parameters about 40%. alteration these slightly mitigated by reforestation, leading decrease 5%.

Language: Английский

Citations

0
Assessment of Runoff Generation Capacity and Total Runoff Contribution for Different Landscapes in Alpine and Permafrost Watershed DOI
Jia Qin,

Bingfeng Yang,

Yongyong Zhang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0