A novel daily-scale index for detecting drought-flood abrupt alternation events: Proof from Pearl River Basin, China DOI
Chengguang Lai,

Yuxing Wang,

Yu-Xiang Zhao

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: unknown, P. 107892 - 107892

Published: Dec. 1, 2024

Language: Английский

Evaluation and prediction of compound geohazards in highly urbanized regions across China's Greater Bay Area DOI
Kunlong He, Xiaohong Chen, Xuan Yu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 449, P. 141641 - 141641

Published: March 16, 2024

Language: Английский

Citations

11
A novel framework for feature simplification and selection in flood susceptibility assessment based on machine learning DOI Creative Commons

Kaili Zhu,

Chengguang Lai,

Zhaoli Wang

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 52, P. 101739 - 101739

Published: March 14, 2024

Yangtze River Delta core urban agglomeration, China Traditional research on flood susceptibility assessment using machine learning often seeks to enhance model performance by increasing the number of input variables, which is impractical in regions with limited data availability. In this study, we constructed a variable system comprising 13 features for through techniques. A flexible framework, primarily incorporating methods importance value calculation and repeated random sampling, were established identify minimal set that yield high-performance classifiers. Finally, feasibility proposed framework was verified comparing classifier performances maps. Results underscored significance such as Land Use / Cover, Impervious Area, Normalized Difference Vegetation Index, Distance Lake Built-up Probability development. These five proved sufficient produce Area Under Curve (AUC) indices exceeding 0.9 both training testing data. Susceptibility maps generated varying feature counts revealed vegetation cover near lakes face higher susceptibility. The framework's viability confirmed excellent (mean AUC > 0.9) reduced consistent outcomes maps, offering theoretical technical support flooding data-constrained regions.

Language: Английский

Citations

7
Improving the explainability of CNN-LSTM-based flood prediction with integrating SHAP technique DOI Creative Commons
Hao Huang,

Zhaoli Wang,

Yaoxing Liao

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 84, P. 102904 - 102904

Published: Nov. 17, 2024

Language: Английский

Citations

6
Stronger exacerbation of extreme rainfall at the hourly than daily scale by urbanization in a warming climate DOI
Zifeng Deng, Xushu Wu, Gabriele Villarini

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 633, P. 131025 - 131025

Published: March 5, 2024

Language: Английский

Citations

5
Urbanization impacts on sequential flood-heatwave events in the Guangdong-Hong Kong-Macao Greater Bay Area, China DOI

Kaican Zheng,

Zhuoyan Xian,

Weilin Liao

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 55, P. 101878 - 101878

Published: March 26, 2024

Language: Английский

Citations

5
A tight coupling model for urban flood simulation based on SWMM and TELEMAC-2D and the uncertainty analysis DOI

Zhaoli Wang,

Yuhong Chen, Zhaoyang Zeng

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105794 - 105794

Published: Sept. 2, 2024

Language: Английский

Citations

5
Compound effects in complex estuary-ocean interaction region under various combination patterns of storm surge and fluvial floods DOI

Zhaoli Wang,

Yuhong Chen, Zhaoyang Zeng

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 58, P. 102186 - 102186

Published: Oct. 30, 2024

Language: Английский

Citations

4
An assessment framework of dam-break flood risk in highly populated and property-intensive area: Case study for the Longdong reservoir DOI
Haijun Yu, Ling Du, Chengguang Lai

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102201 - 102201

Published: Jan. 25, 2025

Language: Английский

Citations

0
Coupled Effects of Water Depth, Vegetation, and Soil Properties on Soil Organic Carbon Components in the Huixian Wetland of the Li River Basin DOI Creative Commons

Yongkang Wang,

Junfeng Dai,

Fan Jiang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 584 - 584

Published: March 10, 2025

Wetland ecosystems are essential to the global carbon cycle, and they contribute significantly storage regulation. While existing studies have explored individual effects of water depth, vegetation, soil properties on organic (SOC) components, a comprehensive study interactions between these factors is still lacking, particularly regarding their collective impact composition SOC in wetland soils. This paper focused Huixian Li River Basin. The variations its fractions, namely dissolved carbon, microbial biomass light fraction mineral-associated under different depths vegetation conditions were examined. Additionally, (pH bulk density, total phosphorus (TP), nitrogen (TN), ammonium (NH4-N), nitrate (NO3-N)) changes components quantified. Specific depth–vegetation combinations favor accumulation, with Cladium chinense at depth 20 cm Phragmites communis 40 exhibiting higher content. positively correlated plant biomass, TP, TN, NH4-N. coupling had significant effect contributing 74.4% variation fractions. Among them, explained 7.8%, 7.3%, 6.4% changes, respectively, 25.6% changes. three influenced components. Optimal level management strategic planting can enhance capacity increase research offers valuable insights for effectively managing sinks reserves.

Language: Английский

Citations

0
Climate change dominates historical runoff variations at multiple time scales in typical agricultural basin of South China DOI
Yang Liu, Zhaoyang Zeng, Chengguang Lai

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102322 - 102322

Published: March 20, 2025

Language: Английский

Citations

0