Journal of Hydrology-Regional Studies最新文献

Investigating aquifer vulnerability in the Saigon River Basin (Vietnam) using time domain electromagnetic soundings (TDEM)

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-03-07 DOI: 10.1016/j.ejrh.2025.102306

Thanh Quoc Truong , Marc Descloitres , Tan Phong Ngo , Tu Anh Tran , Sarah Tweed , Anatoly Legchenko , Tin Trung Nguyen , Thanh Long Tran , Xuan Van Tran , Laurent Oxarango

Study region

The studied region is the Saigon River basin, located along the eastern border of the Mekong Delta in southern Vietnam.

Study focus

In this rapidly growing economic region facing with land subsidence, aquifers are a key resource for agricultural and urban uses. This study focuses on the vulnerability of shallower aquifers (0–150 m deep) in elevated zones (+15 m asl), strategically considered as “refuge zones” compared with the inundated lowlands. Clayey aquitard layers were analyzed for their capacity to protect, or not, the aquifer from infiltration of polluted waters. 260 Time Domain Electromagnetic (TDEM) soundings were used to detect clayey layers and create resistivity maps.

New hydrological insights for the region

TDEM results revealed an unknown geometry of the aquifer-aquitard down to 150 m depth. On the right bank of the river, there were no superficial clayey layers to protect the aquifer from infiltrating pollutants. In comparison, on the left bank, the flood plain is clay-rich, thus favoring runoff rather than infiltration of polluted waters. Observations of the deeper clayey layers highlighted discontinuities, which follow ancient meanders and floodplain shapes that originated from quaternary transgression sequences. These results provide clues for understanding past regional sedimentation processes, and links with current aquifer vulnerability. Such information is critical for the strategic planning of elevated areas of coastal megacities such as Ho Chi Minh City.

{"title":"Investigating aquifer vulnerability in the Saigon River Basin (Vietnam) using time domain electromagnetic soundings (TDEM)","authors":"Thanh Quoc Truong , Marc Descloitres , Tan Phong Ngo , Tu Anh Tran , Sarah Tweed , Anatoly Legchenko , Tin Trung Nguyen , Thanh Long Tran , Xuan Van Tran , Laurent Oxarango","doi":"10.1016/j.ejrh.2025.102306","DOIUrl":"10.1016/j.ejrh.2025.102306","url":null,"abstract":"<div><h3>Study region</h3><div>The studied region is the Saigon River basin, located along the eastern border of the Mekong Delta in southern Vietnam.</div></div><div><h3>Study focus</h3><div>In this rapidly growing economic region facing with land subsidence, aquifers are a key resource for agricultural and urban uses. This study focuses on the vulnerability of shallower aquifers (0–150 m deep) in elevated zones (+15 m asl), strategically considered as “refuge zones” compared with the inundated lowlands. Clayey aquitard layers were analyzed for their capacity to protect, or not, the aquifer from infiltration of polluted waters. 260 Time Domain Electromagnetic (TDEM) soundings were used to detect clayey layers and create resistivity maps.</div></div><div><h3>New hydrological insights for the region</h3><div>TDEM results revealed an unknown geometry of the aquifer-aquitard down to 150 m depth. On the right bank of the river, there were no superficial clayey layers to protect the aquifer from infiltrating pollutants. In comparison, on the left bank, the flood plain is clay-rich, thus favoring runoff rather than infiltration of polluted waters. Observations of the deeper clayey layers highlighted discontinuities, which follow ancient meanders and floodplain shapes that originated from quaternary transgression sequences. These results provide clues for understanding past regional sedimentation processes, and links with current aquifer vulnerability. Such information is critical for the strategic planning of elevated areas of coastal megacities such as Ho Chi Minh City.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"58 ","pages":"Article 102306"},"PeriodicalIF":4.7,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flood resource utilization of cascade hydropower stations along the Han River, China, based on a multi-scenario water level drawdown method

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-03-07 DOI: 10.1016/j.ejrh.2025.102292

Zhiqiang Jing , Yimin Wang , Jianxia Chang , Xuebin Wang , Aijun Guo

Study Region

Han River, the longest tributary of the Yangtze River, China.

Study Focus

In the dual context of global energy shortages and carbon reduction, increasing the share of clean energy in the power supply is imperative. Hydropower, as a crucial component of renewable energy, often sees its significant potential for power generation during flood periods overlooked. This study aims to enhance the joint power generation of cascade hydropower stations under different typical flood scenarios. Firstly, a multi-scenario water level drawdown method is proposed, providing strong technical support for hydropower stations to utilize flood resources and generate more clean power. Then, typical flood scenarios are selected that take into account the relationship between the basin's flood characteristics and the critical flows specified in reservoir flood dispatch regulations. Further, a flood resource utilization scheduling framework is developed to investigate the joint power generation benefit of cascade hydropower stations adopting different credible forecast times under various operational periods.

New Hydrological Insights for the Region

The multi-scenario water level drawdown method can timely lower the reservoir level to the flood control level. Longer credible forecast times don’t always result in better performance, and the appropriate credible forecast time should be selected based on different inflow scenarios to maximize power generation. Through the flood resource utilization scheduling framework, the joint power generation benefit of cascade hydropower stations has increased significantly for 7–1–1 (38.96 *10⁴kW·h), 8–3–1 (145.18 *10⁴kW·h) and 12–1–1 types flood (351.38 *10⁴kW·h).

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引用次数: 0

LH-moment-based regional flood frequency analysis framework to determine design floods in Krishna River basin

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-03-07 DOI: 10.1016/j.ejrh.2025.102282

Amit Kumar Singh, Sagar Rohidas Chavan

Study region

Krishna River basin, India

Study focus

There have been limited efforts to develop the LH-moment-based Regional Flood Frequency Analysis (RFFA) framework for Indian catchments. In this study, the LH-moment-based RFFA is used to determine flood quantiles at ungauged sites within the Krishna River basin in India, corresponding to various return periods. Three probability distributions, namely the generalized extreme value (GEV), generalized logistic (GLO), and generalized Pareto (GPA) are considered for performing the RFFA.

New hydrological insights for the region

This study examines two cases for RFFA, viz., the first involves a single region comprising all 24 gauges within the basin, while the second divides the 24 gauges into three hydrologically similar regions based on the global K-means (GKM) clustering algorithm. The discordancy and heterogeneity measures are considered for the screening of the peak flow data and checking the heterogeneity of the formed regions, respectively. The performance of the LH-moment-based RFFA framework is evaluated through the Leave-One-Out Cross-Validation (LOOCV) experiment. In the case of single region, GEV distribution is found to be the most suitable regional distribution, while in the second case, the GEV{GEV}[GPA] is identified as the best-fitted regional distribution for the region 1{2}[3]. Overall, the study demonstrates the efficacy of the higher-order LH-moment-based RFFA framework over the L-moment.

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引用次数: 0

Stepwise calibration of a lumped hydrological model for Xun River basin, China, considering the heterogeneity of soil moisture

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-03-07 DOI: 10.1016/j.ejrh.2025.102293

Bin Yi , Huiyuan Liu , Lu Chen , Zhiyuan Leng , Binlin Yang , Tao Xie , Siming Li , Weilong Jiang

Study region

Xun River in the Han River basin of China.

Study focus

This study aims to examine the potential of soil moisture products in the temporal calibration of lumped hydrological models, as well as soil moisture data for improving hydrological simulations by considering heterogeneity. The spatial calibration of semi- or fully distributed models has seldom been carried out for conceptual lumped models since it is more common for gridded products to be used.

New hydrological insights

The stepwise calibration scheme considering spatial heterogeneity had the highest average soil moisture correlation coefficient (r = 0.54), followed by the simultaneous calibration scheme considering spatial heterogeneity (r = 0.49), and lastly the simultaneous calibration scheme without considering spatial heterogeneity (r = 0.38). Additionally, the stepwise calibration scheme exhibited lower streamflow accuracy compared with that of the simultaneous calibration scheme. This apparent inconsistency arises because the stepwise approach, while achieving the highest average soil moisture correlation coefficient through spatial heterogeneity consideration, demonstrates compromised performance in streamflow simulation due to the neglected scale-dependent factors. These results reveal that the spatial heterogeneity of soil moisture is of great significance to the calibration results, and it is useful to consider it in the lumped hydrological model by using local soil moisture instead of average soil moisture.

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引用次数: 0

Effect of rainfall on spatiotemporal variation of hydrochemical and isotopic characteristics of the Coastal Lagoon (Songjiho) and groundwater in Korea

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-03-07 DOI: 10.1016/j.ejrh.2025.102303

Chanyoung Jeong , Woo-Hyun Jeon , Dong-Hun Kim , Soo Min Song , Jung-Yun Lee , Sung Pil Hyun , Hee Sun Moon

Study region

The Songjiho lagoon, located on Korea’s east coast, is a brackish water body influenced by both freshwater and seawater, resulting in unique hydrochemical conditions.

Study focus

This study aimed to assess spatiotemporal variations and gain a comprehensive understanding of the dynamic interactions affecting hydrological processes in the coastal lagoon and groundwater.

New hydrological insights for the region

A multidisciplinary approach was used to analyze seasonal hydrochemical variations and mixing processes. The Piper diagram identified three water types: Ca-HCO₃ (inland), Na-Cl (coastal), and Na-HCO₃ (transitional). Principal Component Analysis (PCA) classified hydrochemical characteristics into freshwater-like, saline water-influenced, and runoff-driven groups, revealing complex seasonal ion shifts due to rainfall. Dissolved organic carbon (DOC) and major ions were key indicators of seasonal changes, with rainfall increasing DOC and depleting ions in the lagoon. The Seawater Mixing Index (SMI) identified three coastal aquifer processes: freshwater recharge, fresh-saline mixing, and saline water intrusion. Inland areas exhibited lower ion concentrations due to freshwater recharge, while coastal aquifers experienced depth-dependent seawater intrusion, which weakened in the wet season due to rainfall-induced dilution. The lagoon exhibited the most significant seasonal variation, influenced by river inflow, surface runoff, and hydrodynamic controls. These findings highlight the importance of monitoring seasonal hydrochemical dynamics to manage seawater intrusion risks and ensure sustainable coastal groundwater resources.

{"title":"Effect of rainfall on spatiotemporal variation of hydrochemical and isotopic characteristics of the Coastal Lagoon (Songjiho) and groundwater in Korea","authors":"Chanyoung Jeong , Woo-Hyun Jeon , Dong-Hun Kim , Soo Min Song , Jung-Yun Lee , Sung Pil Hyun , Hee Sun Moon","doi":"10.1016/j.ejrh.2025.102303","DOIUrl":"10.1016/j.ejrh.2025.102303","url":null,"abstract":"<div><h3>Study region</h3><div>The Songjiho lagoon, located on Korea’s east coast, is a brackish water body influenced by both freshwater and seawater, resulting in unique hydrochemical conditions.</div></div><div><h3>Study focus</h3><div>This study aimed to assess spatiotemporal variations and gain a comprehensive understanding of the dynamic interactions affecting hydrological processes in the coastal lagoon and groundwater.</div></div><div><h3>New hydrological insights for the region</h3><div>A multidisciplinary approach was used to analyze seasonal hydrochemical variations and mixing processes. The Piper diagram identified three water types: Ca-HCO₃ (inland), Na-Cl (coastal), and Na-HCO₃ (transitional). Principal Component Analysis (PCA) classified hydrochemical characteristics into freshwater-like, saline water-influenced, and runoff-driven groups, revealing complex seasonal ion shifts due to rainfall. Dissolved organic carbon (DOC) and major ions were key indicators of seasonal changes, with rainfall increasing DOC and depleting ions in the lagoon. The Seawater Mixing Index (SMI) identified three coastal aquifer processes: freshwater recharge, fresh-saline mixing, and saline water intrusion. Inland areas exhibited lower ion concentrations due to freshwater recharge, while coastal aquifers experienced depth-dependent seawater intrusion, which weakened in the wet season due to rainfall-induced dilution. The lagoon exhibited the most significant seasonal variation, influenced by river inflow, surface runoff, and hydrodynamic controls. These findings highlight the importance of monitoring seasonal hydrochemical dynamics to manage seawater intrusion risks and ensure sustainable coastal groundwater resources.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"58 ","pages":"Article 102303"},"PeriodicalIF":4.7,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Runoff spatiotemporal variability driven by climate change and human activity for the Nianchu River Basin in Southwestern Tibet

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-03-06 DOI: 10.1016/j.ejrh.2025.102301

Zhenhuan Yuan , Kaifei Liu , Zeng Dan , Qize Gao , Ciren Mima , Chengpeng Lu

Study Region

Nianchu River Basin (NRB), a key agricultural area on the Tibetan Plateau in China.

Study focus

Runoff is recognized as the most important outcome of water resources management, playing a crucial role in both ecology and hydrology. This study analyzes the spatiotemporal variability of runoff in the NRB over the past 48 years and further quantify the impacts of climate conditions, vegetation cover, and irrigation water withdrawal (IWW) on runoff changes. This study aims to improve our understanding of the mechanisms driving runoff changes in alpine mountains.

New hydrological insight for the region

The results indicate that the runoff in the NRB has significantly declined by −0.21 mm per decade. The effects of the various influences on runoff are non-stationary at the spatiotemporal scales, with precipitation (Pre) and temperature (Tmp) as the main factors, and Pre consistently contributing the most to changes in runoff until 2002. However, over time, the contribution of Pre has significantly declined. After 2002, the contribution of Tmp gradually became comparable to that of Pre and eventually surpassed it. IWW extraction generally exerts adverse effects, and in areas with poorer vegetation in NRB, NDVI changes significantly impact runoff. Under the context of global warming and increasing human activities, Tmp and IWW have shown a growing adverse impact on basin runoff, offering new insights for water resource management.

{"title":"Runoff spatiotemporal variability driven by climate change and human activity for the Nianchu River Basin in Southwestern Tibet","authors":"Zhenhuan Yuan , Kaifei Liu , Zeng Dan , Qize Gao , Ciren Mima , Chengpeng Lu","doi":"10.1016/j.ejrh.2025.102301","DOIUrl":"10.1016/j.ejrh.2025.102301","url":null,"abstract":"<div><h3>Study Region</h3><div>Nianchu River Basin (NRB), a key agricultural area on the Tibetan Plateau in China.</div></div><div><h3>Study focus</h3><div>Runoff is recognized as the most important outcome of water resources management, playing a crucial role in both ecology and hydrology. This study analyzes the spatiotemporal variability of runoff in the NRB over the past 48 years and further quantify the impacts of climate conditions, vegetation cover, and irrigation water withdrawal (IWW) on runoff changes. This study aims to improve our understanding of the mechanisms driving runoff changes in alpine mountains.</div></div><div><h3>New hydrological insight for the region</h3><div>The results indicate that the runoff in the NRB has significantly declined by −0.21 mm per decade. The effects of the various influences on runoff are non-stationary at the spatiotemporal scales, with precipitation (Pre) and temperature (Tmp) as the main factors, and Pre consistently contributing the most to changes in runoff until 2002. However, over time, the contribution of Pre has significantly declined. After 2002, the contribution of Tmp gradually became comparable to that of Pre and eventually surpassed it. IWW extraction generally exerts adverse effects, and in areas with poorer vegetation in NRB, NDVI changes significantly impact runoff. Under the context of global warming and increasing human activities, Tmp and IWW have shown a growing adverse impact on basin runoff, offering new insights for water resource management.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"58 ","pages":"Article 102301"},"PeriodicalIF":4.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extreme precipitation modeling and Probable Maximum Precipitation (PMP) estimation in Chile

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-03-06 DOI: 10.1016/j.ejrh.2025.102274

Yusuke Hiraga , Joaquin Meza

Study region

Maipo River Basin (MRB) in Chile

Study focus

Aging infrastructures and climate-change emphasize an urgent need to improve extreme precipitation modeling and ultimately update Probable Maximum Precipitation (PMP) estimates. Motivated by this background, this study first examined the optimal physics parameterizations for modeling extreme precipitation. We then estimated PMP using the model-based method, which is compared with traditional methods-based PMP estimates. Finally, the exceedance probability of the estimated PMP was evaluated based on precipitation amount and its atmospheric drivers.

New hydrological insights

Among the 48 patterns of physical parameterization combinations in the Weather Research and Forecasting (WRF) model, the combination of Stony–Brook University microphysics, BouLac PBL, and Grell–Freitas cumulus schemes resulted in the lowest RMSE of 72-hr MRB-average precipitation. We used the WRF with optimized parameterizations to estimate PMP, employing the ensemble runs of moisture amplification and storm transposition. The 72-hr MRB-average PMP was estimated to be 323.7 mm in the model-based method, whereas it was 348.3 mm in the moisture maximization method. The statistical method computed the station-average 72-hr PMP as 515.8 mm (standard deviation: 147.4 mm) within the MRB. Our analysis focusing on physical mechanisms showed that the integrated water vapor trasnport (IVT) change strongly drove the precipitation change on a basin scale and on hourly and event timescales for the target events. The IVT magnitude driving the PMP scenario was found to fall in return periods of ∼44.5 years, indicating that the estimated PMP was driven by moisture flux within the range of historical observations, suggesting its physical credibility for practical applications.

{"title":"Extreme precipitation modeling and Probable Maximum Precipitation (PMP) estimation in Chile","authors":"Yusuke Hiraga , Joaquin Meza","doi":"10.1016/j.ejrh.2025.102274","DOIUrl":"10.1016/j.ejrh.2025.102274","url":null,"abstract":"<div><h3>Study region</h3><div>Maipo River Basin (MRB) in Chile</div></div><div><h3>Study focus</h3><div>Aging infrastructures and climate-change emphasize an urgent need to improve extreme precipitation modeling and ultimately update Probable Maximum Precipitation (PMP) estimates. Motivated by this background, this study first examined the optimal physics parameterizations for modeling extreme precipitation. We then estimated PMP using the model-based method, which is compared with traditional methods-based PMP estimates. Finally, the exceedance probability of the estimated PMP was evaluated based on precipitation amount and its atmospheric drivers.</div></div><div><h3>New hydrological insights</h3><div>Among the 48 patterns of physical parameterization combinations in the Weather Research and Forecasting (WRF) model, the combination of Stony–Brook University microphysics, BouLac PBL, and Grell–Freitas cumulus schemes resulted in the lowest RMSE of 72-hr MRB-average precipitation. We used the WRF with optimized parameterizations to estimate PMP, employing the ensemble runs of moisture amplification and storm transposition. The 72-hr MRB-average PMP was estimated to be 323.7 mm in the model-based method, whereas it was 348.3 mm in the moisture maximization method. The statistical method computed the station-average 72-hr PMP as 515.8 mm (standard deviation: 147.4 mm) within the MRB. Our analysis focusing on physical mechanisms showed that the integrated water vapor trasnport (IVT) change strongly drove the precipitation change on a basin scale and on hourly and event timescales for the target events. The IVT magnitude driving the PMP scenario was found to fall in return periods of ∼44.5 years, indicating that the estimated PMP was driven by moisture flux within the range of historical observations, suggesting its physical credibility for practical applications.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"58 ","pages":"Article 102274"},"PeriodicalIF":4.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dissolved organic carbon of rainfall in coastal urban hotspot area, southeast China: Variations, determinants, and sources

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-03-05 DOI: 10.1016/j.ejrh.2025.102300

Qing Ma , Jie Zeng , Qixin Wu , Wanfa Wang , Shijun Mao , Zixuan Liu , Jingwen Chen , Zhiheng Ma , Zhong-Jun Wang , Xinyi He , Jie Zhang , Xin Ge

Study Region

This study is conducted in the southeastern coastal city of Fuzhou, China.

Study Focus

Carbon emissions have significantly increased under the rapid urbanization. Wet deposition (rainwater) serves as a major sink for atmospheric organic carbon (OC) and acts as a potential source of dissolved organic carbon (DOC) in the Earth’surface. This study aims to clarify the status, variations, sources, and deposition flux in rainwater DOC in coastal urban hotspot area, in order to enhance the understanding of atmospheric OC in coastal area.

New Hydrological Insights for the Region

The analysis revealed that the rainwater DOC volume-weighted mean (VWM) concentration during the study period was 1.77 mg C L^-¹ , with an associated deposition flux of 2.02 g C m^-² yr^-¹ . The dilution effect of continuous precipitation affects the rainwater DOC concentrations. In addition, the concentration of rainwater DOC in Fuzhou was influenced by atmospheric OC from long-distance migration and local inputs. Characteristic ion ratios and positive matrix decomposition (PMF) model revealed that anthropogenic emissions driven by industrial activities, fossil fuel burning, and traffic contribute 93.7 % to rainwater DOC. The estimation of atmospheric wet deposition contributed 1.82 × 10⁵ t yr⁻¹ of OC to Taiwan Strait, dominating the external DOC input with a proportion of 67 %. This work gained insights into the wet deposition process of atmospheric OC in coastal cities and underscored the importance of this process in the global carbon cycle.

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引用次数: 0

Spatial-temporal correlation-based analysis of multi-source flood coincidence risks: A case study of the middle and lower Yangtze River basin

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-03-05 DOI: 10.1016/j.ejrh.2025.102265

Guolin Zhao , Yang Xiao , Chen Xu , Binquan Li , Zhouhui Huang , Taotao Zhang , Carlo Gualtieri

Study region

The middle and lower reaches of the Yangtze River basin, China.

Study focus

The overlapping of main and tributary river flood processes often leads to multi-source flood coincidence events, which involve complex spatiotemporal relationships and coincidence risks between different flood processes. This study analyzed flood spatial-temporal distribution patterns and multi-source flood components based on nearly 60 years of runoff data, and established a risk model for multi-source flood coincidences under spatiotemporal conditions using an optimal high-dimensional R-Vine Copula function, investigating the quantitative spatiotemporal relationships and changing patterns of risk in multi-source flood coincidences.

New hydrological insights for the region

It was found that multi-source flood coincidences are primarily composed of floods from tributaries of the Dongting and Poyang lakes, with the coincidence timing primarily concentrated in July. In the quantified spatial-temporal relationships of coincidences, the coincidence intensity index of floods from the Yangtze and Han Rivers is the highest, followed by that with the Dongting Lake, and finally with the Poyang Lake. Flood volume showing a stronger dependence structure compared to extreme flow sequences. Under the primary influence of the Three Gorges Dam, the risk of temporal coincidences with multi-source floods in the middle and lower Yangtze River has significantly decreased after the dam's operation. However, changes in the magnitude coincidence risk vary and are closely related to the flood recurrence interval, coincidence type, spatial-temporal distribution of rainfall and flood volume composition.

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引用次数: 0

Multiple temporal scale variation characteristics and driving factors of arid inland runoff: A case study of Urumqi River, China

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-03-05 DOI: 10.1016/j.ejrh.2025.102298

Kun Liu , Yunfei Chen , Bin Wu , Fan Gao , Abdul Waheed , Fanghong Han , Yan Cao , Jie Wu , Hailiang Xu

Study region

Urumqi River, Xinjiang, China

Study focus

Understanding the periodic evolution and influencing factors of runoff in arid regions is crucial for accurate hydrological modeling and effective water resource management. To explore the difference of runoff periodic characteristics between annual and monthly scales data and evaluate the mutation's impact on periodic evolution and driving factors, the classical Mann-Kendall test and cumulative anomaly curve method were used to identify Urumqi River’s runoff trends and mutation characteristics from 1978 to 2016. Multivariate Empirical Mode Decomposition and Wavelet Coherence Transform identified runoff periodic scales. While Gradient Boosting Regression Trees quantified key factors driving runoff variability.

New hydrological insights for the region

Monthly runoff of the Urumqi River exhibits a stable 12-month dominant period, reflecting the persistent influence of seasonal snowmelt and precipitation. At the annual scale, mutation events shortened and altered the dominant periodicity, shifting from a 2.8-year period in the overall stage to periods of 4.5, 2.7, and 2.5 years during different mutation stages. Before mutations, precipitation, and vapor pressure are the primary drivers; after the mutations, the influence of atmospheric pressure and sunshine duration increases, suggesting that climate variability and human activities are key factors to long-term runoff variations. In managing hydrology for alpine-inland rivers in arid regions, neglecting time scales and mutations can lead to misjudgments of trends and reduce the reliability of predictions.

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引用次数: 0