Increasing Occurrence of Sudden Turns From Drought to Flood Over China

Wang, Hao; Wang, Shanshan; Shu, Xinya; He, Yongli; Huang, Jianping

doi:10.1029/2023jd039974

Cited by 19 publications

(2 citation statements)

References 40 publications

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“…It is expressed as the ratio of the total length of faults to the area of the region (Pham et al, 2020). Geology is another notable factor as it characterizes the type and structure of rocks in the area, consequently determining its porosity, permeability, and hydraulic conductivity (Mafi-Gholami et al, 2019;Wang et al, 2024). Rainfall is the main source of groundwater recharge, as it provides water to the soil and aquifer (Qiu et al, 2023;Zhang et al, 2023).…”

Section: Groundwater Conditioning Factorsmentioning

confidence: 99%

Novel Ensemble Models Based on the Split‐Point Sampling and Node Attribute Subsampling Classifier for Groundwater Potential Mapping

Wang,

Le,

Tian

et al. 2024

Earth and Space Science

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Groundwater potential maps are crucial tools for effectively managing water resources, particularly in agriculturally focused countries such as Vietnam. However, creating these maps is a challenging task that requires reliable data and methods. In this study, we integrated the Split‐Point Sampling and Node Attribute Subsampling Classifier (SPAARC) with the Bagging (B), MultiBoostAB (MBAB), and Random Subspace (RSS) ensemble learning techniques and developed three ensemble models: B‐SPAARC, MBAB‐SPAARC, and RSS‐SPAARC. We selected 13 geoenvironmental factors based on their availability, relevance, and association with groundwater potential in the Sesan River basin of Vietnam. We assessed the models' performance using various metrics such as area under the curve (AUC), accuracy, sensitivity, specificity, and RMSE. The findings indicated that the ensemble models performed better than the single SPAARC model in mapping groundwater potential. The MBAB‐SPAARC model demonstrated the highest accuracy with an AUC value of 0.891, followed by B‐SPAARC (AUC = 0.844), RSS‐SPAARC (AUC = 0.871), and the single SPAARC (AUC = 0.853) models. The results also highlighted that elevation, rainfall, land use/cover, and altitude were the most significant factors for mapping groundwater potential in the Sesan River basin. The innovative ensemble models and reliable potential maps developed in this study assist water resource managers in planning water usage based on the benefits and costs for various users and in devising sustainable strategies for using, protecting, and managing groundwater.

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Section: Groundwater Conditioning Factorsmentioning

confidence: 99%

Novel Ensemble Models Based on the Split‐Point Sampling and Node Attribute Subsampling Classifier for Groundwater Potential Mapping

Wang,

Le,

Tian

et al. 2024

Earth and Space Science

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show abstract

“…A number of previous studies have indicated that the hydrological cycle has accelerated with global warming, resulting in increasing the uneven distribution of precipitation and thus the frequency and intensity of flooding and droughts from global to regional scales (e.g., Hirsch & Archfield, 2015;Seneviratne et al, 2012;Stott et al, 2004;B. Sun et al, 2022;H. Wang et al, 2024;.…”

Section: Introductionmentioning

confidence: 99%

Differing Contributions of Anthropogenic Aerosols and Greenhouse Gases on Precipitation Intensity Percentiles Over the Middle and Lower Reaches of the Yangtze River

Luo,

Wang,

Wang

et al. 2024

JGR Atmospheres

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In June–July 2020, the middle and lower reaches of the Yangtze River (MLYR) were hit by a Meiyu event characterized by a long duration, abundant precipitation, and frequent heavy rainfall, resulting in destructive flooding. We found that the extreme cumulative precipitation in 2020 was mainly contributed by more moderate to heavy daily precipitation rather than extreme daily events. Although some previous studies have been conducted to attribute the 2020 Meiyu event in the MLYR, most of them focused on the cumulative precipitation amount. This attribution case study complements previous attribution analyses and reveals many new features. Our results show that anthropogenic climate change—primarily driven by greenhouse gas (GHG) forcing, anthropogenic aerosol (AA) forcing, and land‐use—has led to a decrease in the number of light to heavy precipitation days, while concurrently increasing the number of extreme precipitation days in the MLYR. Specifically, GHG and AA forcings decreased the frequency of light and moderate precipitation, but only GHG increased the frequency of extreme precipitation. An increasing trend in very heavy precipitation days has been observed. The competitive effects of GHG and AA forcings make it challenging to detect the signal of human activities, which could be intermingled with effects from natural variability. Under the SSP5‐8.5 scenario, the probability of experiencing both light and extreme precipitation events will significantly increase in the MLYR. By 2050–2100, these events are projected to be nearly 4 times more frequent compared to the current climate, which poses significant challenges to water security and economic development decision makers.

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Changes in Teleconnection Patterns and Land–Atmosphere Coupling Amplify the Spring–Early Summer Heatwaves Over Southwestern China

Zheng,

Zhang,

Yang

et al. 2025

Intl Journal of Climatology

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The frequency and intensity of heatwaves over southwestern China during spring and early summer have been increased significantly during 1980–2022. Until now, the physical mechanisms for these changes in heatwaves remain unclear. Here, we show that these increases in heatwaves can be attributed to the changes in both local soil moisture–temperature coupling processes and teleconnection patterns across Eurasia. On the one hand, the third dominant mode of teleconnection patterns across Eurasia exhibits more pronounced and meridionally‐elongated features after the 2000s, leading to more southeastward‐shifted positive geopotential height anomalies towards southwestern China, favouring increases in the regional heatwaves. On the other hand, the intensified coupling strength of soil moisture–temperature further amplifies the heatwaves over southwestern China, in particular for compound drought and heatwave (CDHW) events. This intensified soil moisture–temperature coupling is attributed to the identical phase transitions of heat anomalies and temperature anomalies after the 2000s. Distinct characteristics and drivers of CDHW and non_CDHW over southwestern China are also discussed.

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Increasing Occurrence of Sudden Turns From Drought to Flood Over China

Cited by 19 publications

References 40 publications

Novel Ensemble Models Based on the Split‐Point Sampling and Node Attribute Subsampling Classifier for Groundwater Potential Mapping

Novel Ensemble Models Based on the Split‐Point Sampling and Node Attribute Subsampling Classifier for Groundwater Potential Mapping

Differing Contributions of Anthropogenic Aerosols and Greenhouse Gases on Precipitation Intensity Percentiles Over the Middle and Lower Reaches of the Yangtze River

Changes in Teleconnection Patterns and Land–Atmosphere Coupling Amplify the Spring–Early Summer Heatwaves Over Southwestern China

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