Flood risk assessment combining the historical disaster statistics method with the index system method DOI
Lusheng Che, Yin Shu-yan,

Yishu Guo

et al.

Hydrological Sciences Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 11, 2024

Flood risk assessment is an important aspect of flood management, and we combined the historical disaster statistics method with index system to assess in Hubei Province, China. Our methodology includes collecting data hazard by calculating degree trend from disasters each geographical unit. Meanwhile, selected relevant indicators such as elevation difference, distance water body, gross domestic product (GDP), population, proportion construction land measure susceptibility, weights for these are determined combining analytic hierarchy process (AHP) entropy weight (AHP_entropy). Then, a model developed integrating susceptibility at high-resolution grid scale 1 km×1 km. The results show that about 55.6% area Province falls into medium-high category.

Language: Английский

Runoff spatiotemporal variability driven by climate change and human activity for the Nianchu River Basin in Southwestern Tibet DOI Creative Commons
Zhe Yuan, K. Liu, Dan Zeng

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102301 - 102301

Published: March 6, 2025

Language: Английский

Citations

0
Groundwater Storage Response to Extreme Hydrological Events in Poyang Lake, China’s Largest Fresh-Water Lake DOI Creative Commons
Xiaoxi Yu, Chengpeng Lu, Edward Park

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 988 - 988

Published: March 12, 2025

Groundwater systems are important for maintaining ecological balance and ensuring water supplies. However, under the combined pressures of shifting climate patterns human activities, their responses to extreme events have become increasingly complex. As China’s largest freshwater lake, Poyang Lake supports critical resources, health, adaptation efforts. Yet, relationship between groundwater storage (GWS) hydrological in this region remains insufficiently studied, hindering effective management. This study investigates GWS response by downscaling Gravity Recovery Climate Experiment (GRACE) data validating it with five years observed daily levels. Using GRACE, Global Land Data Assimilation System (GLDAS), ERA5 data, a convolutional neural network (CNN)–attention mechanism (A)–long short-term memory (LSTM) model was selected downscale high resolution (0.1° × 0.1°) estimate recovery times return baseline. Our analysis revealed seasonal fluctuations that phase precipitation, evapotranspiration, runoff. durations flood (2020) drought (2022) ranged from 0.8 3.1 months 0.2 4.8 months, respectively. A strong correlation meteorological droughts, while agricultural significantly weaker. These results indicate precipitation runoff more sensitive than evapotranspiration influencing changes. findings highlight significant sensitivity GWS, despite improved management

Language: Английский

Citations

0
Contrasting the Contributions of Climate Change and Greening to Hydrological Processes in Humid Karst and Non-Karst Areas DOI Open Access
Xiaoyu Tan, Yan Deng,

Yehao Wang

et al.

Water, Journal Year: 2025, Volume and Issue: 17(9), P. 1258 - 1258

Published: April 23, 2025

A quantitative assessment of the responses hydrological processes to environmental change is vital for sustainable utilization groundwater and development under dual influences climate global greening. However, few studies have investigated differences in hydrologic between karst non-karst regions. Thus, we analyzed spatiotemporal changes potential recharge (PGR), as a proportion precipitation (PGR/P), actual evapotranspiration (AET) regions 1982–2020 using V2karst model. The analysis revealed following results: (1) model efficiently monitored variations AET depth (GWD), which indicated its suitability use areas. (2) PGR, PGR/P, increased at rates 4.9 mm/y, 0.0011, 1.4 mm/y areas, 3.8 0.00053, 1.6 respectively, with increasing trend being significant (3) (P) were significantly correlated PGR while minimum temperature (TMN) was strongly related AET. Normalized Difference Vegetation Index (NDVI) moderately affected humid catchments. Climate primary factor processes, whereas vegetation restoration has relatively minor impact. results this study are beneficial toward adoption strategic programs ecological measures diverse geological setting.

Language: Английский

Citations

0
Flood risk assessment combining the historical disaster statistics method with the index system method DOI
Lusheng Che, Yin Shu-yan,

Yishu Guo

et al.

Hydrological Sciences Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 11, 2024

Flood risk assessment is an important aspect of flood management, and we combined the historical disaster statistics method with index system to assess in Hubei Province, China. Our methodology includes collecting data hazard by calculating degree trend from disasters each geographical unit. Meanwhile, selected relevant indicators such as elevation difference, distance water body, gross domestic product (GDP), population, proportion construction land measure susceptibility, weights for these are determined combining analytic hierarchy process (AHP) entropy weight (AHP_entropy). Then, a model developed integrating susceptibility at high-resolution grid scale 1 km×1 km. The results show that about 55.6% area Province falls into medium-high category.

Language: Английский

Citations

0