Hydrologic Model Prediction Improvement in Karst Watersheds through Available Reservoir Capacity of Karst DOI Open Access
Lin Liao, Saeed Rad,

Junfeng Dai

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6557 - 6557

Published: July 31, 2024

This study aimed to enhance flood forecasting accuracy in the Liangfeng River basin, a small karst watershed Southern China, by incorporating Available Reservoir Capacity of Karst (ARCK) into HEC-HMS model. region is often threatened floods during rainy season, so an accurate forecast can help decision-makers better manage rivers. As crucial influencing factor on karstic runoff, ARCK overlooked hydrological models. The seasonal and volatile nature makes direct computation its specific values challenging. In this study, virtual reservoir for each sub-basin (total 17) was introduced model simulate storage release ARCK-induced runoff phenomena. Simulations via enhanced rainfall events with significant fluctuations water levels 2021–2022 revealed that Nash–Sutcliffe efficiency coefficient (NSE) average simulation improved more than 34%. Normally, rainfalls (even heavy precipitations) dry season either do not generate or cause negligible flow rates due long intervals. Conversely, relatively frequent light ones) wet result substantial runoff. Based observation, three distinct types reservoirs different retaining/releasing capacities were defined, reflecting variations both frequency volume seasons. real-time environmental variable, exhibits higher lower seasons, respectively, we avoid risk flooding according special effects.

Language: Английский

High-altitude deformation and reactivation mechanism of large ancient landslides along the Shadingmai section of the upper Jinsha River, Tibetan Plateau DOI
Changbao Guo, Zhendong Qiu,

Ruian Wu

et al.

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(1)

Published: Jan. 1, 2025

Language: Английский

Citations

0

Failure process analysis of a catastrophic landslide in Zhenxiong triggered by prolonged low-intensity rainfall using centrifuge tests DOI

Qiankuan Wang,

Bin Li,

Aiguo Xing

et al.

Engineering Geology, Journal Year: 2025, Volume and Issue: unknown, P. 108044 - 108044

Published: March 1, 2025

Language: Английский

Citations

0

Physics-based time-of-failure determination of rainfall-induced instability in lateritic soil slopes DOI

Sushant Rahul,

Akanksha Tyagi

Engineering Geology, Journal Year: 2024, Volume and Issue: unknown, P. 107834 - 107834

Published: Dec. 1, 2024

Language: Английский

Citations

3

Formation mechanism of metastable internal support microstructure in Malan Loess and its implications for collapsibility DOI

Jinduo Yang,

Xian Li, Lin Li

et al.

Engineering Geology, Journal Year: 2024, Volume and Issue: unknown, P. 107892 - 107892

Published: Dec. 1, 2024

Language: Английский

Citations

1

Model Experiment Study on the Anti-Erosion Capacity of Loess Slope Considering Moss Biocrust Coverage and Slope Gradient DOI

Zhouchen Li,

Hengxing Lan, Weifeng Sun

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0

Hydrologic Model Prediction Improvement in Karst Watersheds through Available Reservoir Capacity of Karst DOI Open Access
Lin Liao, Saeed Rad,

Junfeng Dai

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6557 - 6557

Published: July 31, 2024

This study aimed to enhance flood forecasting accuracy in the Liangfeng River basin, a small karst watershed Southern China, by incorporating Available Reservoir Capacity of Karst (ARCK) into HEC-HMS model. region is often threatened floods during rainy season, so an accurate forecast can help decision-makers better manage rivers. As crucial influencing factor on karstic runoff, ARCK overlooked hydrological models. The seasonal and volatile nature makes direct computation its specific values challenging. In this study, virtual reservoir for each sub-basin (total 17) was introduced model simulate storage release ARCK-induced runoff phenomena. Simulations via enhanced rainfall events with significant fluctuations water levels 2021–2022 revealed that Nash–Sutcliffe efficiency coefficient (NSE) average simulation improved more than 34%. Normally, rainfalls (even heavy precipitations) dry season either do not generate or cause negligible flow rates due long intervals. Conversely, relatively frequent light ones) wet result substantial runoff. Based observation, three distinct types reservoirs different retaining/releasing capacities were defined, reflecting variations both frequency volume seasons. real-time environmental variable, exhibits higher lower seasons, respectively, we avoid risk flooding according special effects.

Language: Английский

Citations

0